API: vaft.omas

Generated from each module's __all__ by python -m vaft._api_catalog: 889 published objects in 29 modules. Signatures and summaries are read from the source; nothing here is written by hand. All API pages

`vaft.omas`
`load`	function
`load_omas_json`	function
`save`	function
`to_equilibrium`	function
`vaft.omas.comparison`
`compare_ods`	function
`ComparisonEntry`	class
`DifferenceKind`	class
`load_tolerance_policy`	function
`ODSComparison`	class
`ParityClassification`	class
`Tolerance`	class
`TolerancePolicy`	class
`ToleranceRule`	class
`write_comparison_reports`	function
`vaft.omas.confinement`
`ohmic_confinement_ods`	function
`OhmicConfinementODS`	class
`W_SOURCES`	data
`vaft.omas.discharge_timing`
`COIL_BASE`	data
`coil_onsets`	function
`CoilOnset`	class
`discharge_timing`	function
`DischargeTiming`	class
`DischargeTimingError`	class
`FLUX_LOOP_BASE`	data
`inboard_midplane_loop`	function
`loop_voltage`	function
`loop_voltage_event`	function
`LoopVoltageEvent`	class
`NOT_PRESENT`	data
`oh_coil_onset`	function
`VOLTAGE_DERIVED`	data
`VOLTAGE_MEASURED`	data
`vaft.omas.discovery`
`describe`	function
`vaft.omas.edge_q`
`edge_q_estimate`	function
`EdgeQEstimate`	class
`vaft.omas.efit_quality`
`classify_fit_role`	function
`CONSTRAINT_FAMILIES`	data
`constraint_state`	function
`CONSTRAINT_STATES`	data
`constraint_table`	function
`constraint_uncertainty_model`	function
`ConstraintTable`	class
`convergence_metrics`	function
`efit_quality_metrics`	function
`FAMILIES`	data
`family_chi_squared_sum`	function
`fit_quality_metrics`	function
`FIT_ROLES`	data
`fitted_mask`	function
`ip_chi_squared_record`	function
`iteration_cap_reached`	function
`KINETIC_FAMILIES`	data
`normalizable_mask`	function
`normalized_residuals`	function
`run_test_z`	function
`sigma_unit_factor`	function
`slice_times`	function
`vaft.omas.entries`
`extract_labels_from_odc`	function
`normalize_entries`	function
`vaft.omas.equilibrium_state`
`ATLAS_EXTRA_UNITS`	data
`atlas_state_table`	function
`EQUILIBRIUM_STATE_CONVENTIONS`	data
`equilibrium_state_rows`	function
`equilibrium_state_table`	function
`EQUILIBRIUM_STATE_UNITS`	data
`vaft.omas.fluctuation`
`DiagnosticSelection`	class
`fluctuation_bandwidths`	function
`FLUCTUATION_DIAGNOSTICS`	data
`select_fluctuation_records`	function
`SelectedDiagnostics`	class
`vertical_position_history`	function
`VerticalPositionHistory`	class
`vaft.omas.formula_wrapper`
`compute_bremsstrahlung_power`	function
`compute_confiment_time_paramters`	function
`compute_magnetic_shear`	function
`compute_power_balance`	function
`compute_tau_E_engineering_parameters`	function
`compute_tau_E_exp`	function
`compute_tau_E_scaling`	function
`compute_voltage_consumption`	function
`vaft.omas.general`
`change_time_convention`	function
`classify_shot`	function
`COCOS_PARAMETER_PATH`	data
`combine_ods`	function
`equilibrium_psi_to_weber`	function
`find_breakdown_onset`	function
`find_bt`	function
`find_chamber_boundary`	function
`find_ip_onset`	function
`find_major_radius`	function
`find_matching_time_indices`	function
`find_max_ip`	function
`find_pf_active_onset`	function
`find_pulse_duration`	function
`find_shotclass`	function
`find_shotnumber`	function
`find_vloop_onset`	function
`odc_or_ods_check`	function
`ods_cocos`	function
`ONSET_METHOD`	data
`ONSET_METHOD_LEGACY`	data
`print_info`	function
`set_ods_cocos`	function
`shift_time`	function
`signal_time`	function
`vaft.omas.interactive`
`equilibrium_explorer_ids`	function
`InteractiveEquilibrium`	class
`plot_diagnostics_time_interactive`	function
`plot_equilibrium_interactive`	function
`vaft.omas.kinetic_state_inference`
`combine_ti_ratios`	function
`DEFAULT_ELEMENTAL_WEIGHTS`	data
`InferenceStage`	class
`ION_TEMPERATURE_MODES`	data
`kinetic_state_stages`	function
`KineticStateStages`	class
`STAGE_NAMES`	data
`vaft.omas.magnetic_decomposition`
`decompose_magnetic_response`	function
`MagneticDecomposition`	class
`reduced_wall_response`	function
`VALIDITY_HALF_WIDTH_S`	data
`wall_currents_for_drive`	function
`vaft.omas.neoclassical`
`BootstrapCurrentResult`	class
`compute_bootstrap_current`	function
`compute_conductivity`	function
`ConductivityResult`	class
`MODELS`	data
`vaft.omas.pf_plasma`
`GEOMETRY_TYPE_RECTANGLE`	data
`plasma_current_total`	function
`plasma_elements`	function
`set_plasma_elements`	function
`vaft.omas.plasma_features`
`ABSENT`	data
`DIAMAGNETIC_BASE`	data
`Feature`	class
`FEATURE_DIAMAGNETIC`	data
`FEATURE_H_ALPHA`	data
`FEATURE_IP`	data
`ip_peak`	function
`line_by_label`	function
`NOT_COMPUTED`	data
`plasma_features`	function
`PlasmaFeatures`	class
`SPECTROMETER_CHANNELS`	data
`vaft.omas.plasma_timing`
`AGREEMENT_HALPHA_ONLY`	data
`AGREEMENT_IP_ONLY`	data
`AGREEMENT_NONE`	data
`analysis_span`	function
`AnalysisSpan`	class
`channel_notes`	function
`clock_offset`	function
`HALPHA_LABEL`	data
`halpha_sources`	function
`halpha_usability`	function
`halpha_window`	function
`HalphaSource`	class
`HalphaUsability`	class
`IP_BASE`	data
`IP_CHECKS`	data
`ip_window`	function
`plasma_timing`	function
`PlasmaTiming`	class
`PlasmaTimingError`	class
`SOURCE_H_FAST`	data
`SOURCE_H_PRIMARY`	data
`SOURCE_H_SECONDARY`	data
`SOURCE_IP`	data
`TIME_CONVENTION_PATH`	data
`USABILITY_CHECKS`	data
`WAVELENGTH_TOLERANCE_M`	data
`vaft.omas.plotting`
`available_plots`	function
`compose`	function
`dd_b_field_probe_spatial_field`	function
`dd_b_field_probe_time_field`	function
`dd_barometry_time_pressure`	function
`dd_camera_visible_animation_frames`	function
`dd_camera_visible_image`	function
`dd_camera_visible_image_efit_overlay`	function
`dd_camera_visible_image_field_line`	function
`dd_camera_visible_image_fluctuation`	function
`dd_camera_visible_image_frame`	function
`dd_camera_visible_image_mhd_power`	function
`dd_camera_visible_image_vacuum_field_line`	function
`dd_camera_visible_spectrogram`	function
`dd_charge_exchange_geometry_poloidal`	function
`dd_charge_exchange_profile_fit`	function
`dd_charge_exchange_profile_ion_temperature`	function
`dd_charge_exchange_profile_velocity_tor`	function
`dd_charge_exchange_time_ion_temperature`	function
`dd_charge_exchange_time_velocity_tor`	function
`dd_chease_overview_profile_validity`	function
`dd_chease_overview_refinement_summary`	function
`dd_coil_3d_geometry3d`	function
`dd_coil_3d_geometry_topview`	function
`dd_coil_3d_profile_current`	function
`dd_coil_3d_spectrum_current`	function
`dd_core_profiles_profile_zeff`	function
`dd_core_profiles_time_volume_averaged`	function
`dd_current_overview`	function
`dd_current_overview_reconstruction`	function
`dd_diagnostics_overview`	function
`dd_diagnostics_spectrum_coherence`	function
`dd_diamagnetic_flux_time`	function
`dd_ec_launchers_time_power`	function
`dd_electron_density_field`	function
`dd_electron_density_profile`	function
`dd_electron_density_profile_gradient`	function
`dd_electron_density_time`	function
`dd_electron_temperature_field`	function
`dd_electron_temperature_profile`	function
`dd_electron_temperature_profile_gradient`	function
`dd_electron_temperature_time`	function
`dd_equilibrium_field_2d`	function
`dd_equilibrium_field_psi`	function
`dd_equilibrium_field_psi_vacuum`	function
`dd_equilibrium_geometry_boundary`	function
`dd_equilibrium_geometry_topview`	function
`dd_equilibrium_overview`	function
`dd_equilibrium_overview_constraint_coverage`	function
`dd_equilibrium_overview_constraint_weights`	function
`dd_equilibrium_overview_constraints`	function
`dd_equilibrium_overview_convergence`	function
`dd_equilibrium_overview_fit_quality`	function
`dd_equilibrium_overview_histories`	function
`dd_equilibrium_overview_pressure_weight_scan`	function
`dd_equilibrium_overview_profiles`	function
`dd_equilibrium_overview_residuals`	function
`dd_equilibrium_overview_verification`	function
`dd_equilibrium_profile_f`	function
`dd_equilibrium_profile_ffprime`	function
`dd_equilibrium_profile_j_tor`	function
`dd_equilibrium_profile_pprime`	function
`dd_equilibrium_profile_pressure`	function
`dd_equilibrium_profile_q`	function
`dd_equilibrium_table_fit_quality`	function
`dd_equilibrium_table_summary`	function
`dd_equilibrium_table_validation`	function
`dd_equilibrium_text_summary`	function
`dd_equilibrium_time_beta`	function
`dd_equilibrium_time_beta_n`	function
`dd_equilibrium_time_beta_p`	function
`dd_equilibrium_time_beta_t`	function
`dd_equilibrium_time_diamagnetic_flux`	function
`dd_equilibrium_time_elongation`	function
`dd_equilibrium_time_li`	function
`dd_equilibrium_time_major_radius`	function
`dd_equilibrium_time_minor_radius`	function
`dd_equilibrium_time_plasma_current`	function
`dd_equilibrium_time_q0`	function
`dd_equilibrium_time_q95`	function
`dd_equilibrium_time_qa`	function
`dd_equilibrium_time_shape`	function
`dd_equilibrium_time_triangularity`	function
`dd_equilibrium_time_triangularity_lower`	function
`dd_equilibrium_time_triangularity_upper`	function
`dd_equilibrium_time_virial`	function
`dd_equilibrium_time_w_mag`	function
`dd_equilibrium_time_w_mhd`	function
`dd_equilibrium_time_w_tot`	function
`dd_field_line_topology_field_connection_length`	function
`dd_flux_loop_spatial_flux`	function
`dd_flux_loop_time_flux`	function
`dd_flux_loop_time_voltage`	function
`dd_gyrokinetics_overview`	function
`dd_gyrokinetics_profile_eigenfunction`	function
`dd_gyrokinetics_spectrum_energy_flux`	function
`dd_gyrokinetics_spectrum_frequency`	function
`dd_gyrokinetics_spectrum_growth_rate`	function
`dd_gyrokinetics_spectrum_particle_flux`	function
`dd_impa_overview`	function
`dd_impa_profile_field`	function
`dd_impa_time_field`	function
`dd_impa_time_voltage`	function
`dd_impurity_profile_charge_state_fraction`	function
`dd_impurity_profile_composition`	function
`dd_interferometer_overview`	function
`dd_interferometer_spectrogram`	function
`dd_interferometer_spectrum`	function
`dd_interferometer_time_n_e_line`	function
`dd_ion_temperature_profile`	function
`dd_ion_temperature_profile_gradient`	function
`dd_kinetic_overview_profiles`	function
`dd_kinetic_overview_state`	function
`dd_limiter_current_time`	function
`dd_machine_geometry3d`	function
`dd_machine_geometry_poloidal`	function
`dd_machine_geometry_topview`	function
`dd_magnetics_geometry_poloidal`	function
`dd_magnetics_overview`	function
`dd_magnetics_overview_plasma_residual`	function
`dd_magnetics_overview_vacuum`	function
`dd_magnetics_overview_vacuum_benchmark`	function
`dd_magnetics_table_vacuum_benchmark`	function
`dd_magnetics_table_vacuum_benchmark_aggregate`	function
`dd_mhd_linear_field_spectrum`	function
`dd_mhd_linear_geometry_island`	function
`dd_mhd_linear_overview_eigenfunction`	function
`dd_mhd_linear_profile_b_field_perturbed`	function
`dd_mhd_linear_profile_chirikov`	function
`dd_mhd_linear_profile_displacement`	function
`dd_mhd_linear_profile_island_width`	function
`dd_mhd_linear_profile_resonant_flux`	function
`dd_mhd_linear_spectrum_b_field_perturbed`	function
`dd_mhd_linear_time_energy_perturbed`	function
`dd_mirnov_spatial_phase`	function
`dd_mirnov_spectrogram`	function
`dd_mirnov_spectrum`	function
`dd_mirnov_time_voltage`	function
`dd_nbi_profile_current_drive`	function
`dd_nbi_profile_electron_heating`	function
`dd_nbi_profile_ion_heating`	function
`dd_neoclassical_profile_bootstrap_current`	function
`dd_ntms_time_delta_prime`	function
`dd_passive_structure_field_wall_reduction`	function
`dd_passive_structure_geometry_poloidal`	function
`dd_passive_structure_geometry_wall_mode`	function
`dd_passive_structure_overview_wall_reduction`	function
`dd_passive_structure_overview_wall_time`	function
`dd_passive_structure_time_current`	function
`dd_pf_coil_geometry_poloidal`	function
`dd_pf_coil_time_current`	function
`dd_pf_coil_time_current_turns`	function
`dd_pf_plasma_geometry_poloidal`	function
`dd_plasma_current_time`	function
`dd_rogowski_coil_time_current`	function
`dd_soft_x_rays_geometry_lines_of_sight`	function
`dd_soft_x_rays_overview`	function
`dd_soft_x_rays_spectrogram`	function
`dd_soft_x_rays_spectrum`	function
`dd_soft_x_rays_time_power`	function
`dd_spectrometer_uv_time_impurity`	function
`dd_spectrometer_uv_time_intensity`	function
`dd_startup_proxies_time`	function
`dd_summary_time_energy`	function
`dd_summary_time_estimated_q95`	function
`dd_summary_time_normalized_current`	function
`dd_summary_time_power_balance`	function
`dd_summary_time_q_star_cylindrical`	function
`dd_summary_time_q_star_kink`	function
`dd_summary_time_resistive_zeff`	function
`dd_summary_time_romero_balance`	function
`dd_summary_time_voltage_consumption`	function
`dd_tf_coil_time_b_t`	function
`dd_tf_coil_time_b_t_vacuum_r`	function
`dd_tf_coil_time_current`	function
`dd_thermal_pressure_profile`	function
`dd_thomson_scattering_geometry_poloidal`	function
`dd_thomson_scattering_profile_electron_density`	function
`dd_thomson_scattering_profile_electron_temperature`	function
`dd_thomson_scattering_profile_fit`	function
`dd_thomson_scattering_time_electron_density`	function
`dd_thomson_scattering_time_electron_temperature`	function
`dd_turbulent_transport_overview`	function
`dd_turbulent_transport_profile_energy_flux`	function
`dd_turbulent_transport_profile_particle_flux`	function
`dd_vacuum_field`	function
`dd_vacuum_field_midplane`	function
`dd_wall_geometry_poloidal`	function
`disable_overlay_methods`	function
`disable_plot_methods`	function
`enable_overlay_methods`	function
`enable_plot_methods`	function
`extract_b_field_probe_spatial_field`	function
`extract_b_field_probe_time_field`	function
`extract_barometry_time_pressure`	function
`extract_camera_visible_animation_frames`	function
`extract_camera_visible_image`	function
`extract_camera_visible_image_efit_overlay`	function
`extract_camera_visible_image_field_line`	function
`extract_camera_visible_image_fluctuation`	function
`extract_camera_visible_image_frame`	function
`extract_camera_visible_image_mhd_power`	function
`extract_camera_visible_image_vacuum_field_line`	function
`extract_camera_visible_spectrogram`	function
`extract_charge_exchange_geometry_poloidal`	function
`extract_charge_exchange_profile_fit`	function
`extract_charge_exchange_profile_ion_temperature`	function
`extract_charge_exchange_profile_velocity_tor`	function
`extract_charge_exchange_time_ion_temperature`	function
`extract_charge_exchange_time_velocity_tor`	function
`extract_chease_overview_profile_validity`	function
`extract_chease_overview_refinement_summary`	function
`extract_coil_3d_geometry3d`	function
`extract_coil_3d_geometry_topview`	function
`extract_coil_3d_profile_current`	function
`extract_coil_3d_spectrum_current`	function
`extract_core_profiles_profile_zeff`	function
`extract_core_profiles_time_volume_averaged`	function
`extract_current_overview`	function
`extract_current_overview_reconstruction`	function
`extract_diagnostics_overview`	function
`extract_diagnostics_spectrum_coherence`	function
`extract_diamagnetic_flux_time`	function
`extract_ec_launchers_time_power`	function
`extract_electron_density_field`	function
`extract_electron_density_profile`	function
`extract_electron_density_profile_gradient`	function
`extract_electron_density_time`	function
`extract_electron_temperature_field`	function
`extract_electron_temperature_profile`	function
`extract_electron_temperature_profile_gradient`	function
`extract_electron_temperature_time`	function
`extract_equilibrium_field_2d`	function
`extract_equilibrium_field_psi`	function
`extract_equilibrium_field_psi_vacuum`	function
`extract_equilibrium_geometry_boundary`	function
`extract_equilibrium_geometry_topview`	function
`extract_equilibrium_overview`	function
`extract_equilibrium_overview_constraint_coverage`	function
`extract_equilibrium_overview_constraint_weights`	function
`extract_equilibrium_overview_constraints`	function
`extract_equilibrium_overview_convergence`	function
`extract_equilibrium_overview_fit_quality`	function
`extract_equilibrium_overview_histories`	function
`extract_equilibrium_overview_pressure_weight_scan`	function
`extract_equilibrium_overview_profiles`	function
`extract_equilibrium_overview_residuals`	function
`extract_equilibrium_overview_verification`	function
`extract_equilibrium_profile_f`	function
`extract_equilibrium_profile_ffprime`	function
`extract_equilibrium_profile_j_tor`	function
`extract_equilibrium_profile_pprime`	function
`extract_equilibrium_profile_pressure`	function
`extract_equilibrium_profile_q`	function
`extract_equilibrium_table_fit_quality`	function
`extract_equilibrium_table_summary`	function
`extract_equilibrium_table_validation`	function
`extract_equilibrium_text_summary`	function
`extract_equilibrium_time_beta`	function
`extract_equilibrium_time_beta_n`	function
`extract_equilibrium_time_beta_p`	function
`extract_equilibrium_time_beta_t`	function
`extract_equilibrium_time_diamagnetic_flux`	function
`extract_equilibrium_time_elongation`	function
`extract_equilibrium_time_li`	function
`extract_equilibrium_time_major_radius`	function
`extract_equilibrium_time_minor_radius`	function
`extract_equilibrium_time_plasma_current`	function
`extract_equilibrium_time_q0`	function
`extract_equilibrium_time_q95`	function
`extract_equilibrium_time_qa`	function
`extract_equilibrium_time_shape`	function
`extract_equilibrium_time_triangularity`	function
`extract_equilibrium_time_triangularity_lower`	function
`extract_equilibrium_time_triangularity_upper`	function
`extract_equilibrium_time_virial`	function
`extract_equilibrium_time_w_mag`	function
`extract_equilibrium_time_w_mhd`	function
`extract_equilibrium_time_w_tot`	function
`extract_field_line_topology_field_connection_length`	function
`extract_flux_loop_spatial_flux`	function
`extract_flux_loop_time_flux`	function
`extract_flux_loop_time_voltage`	function
`extract_gyrokinetics_overview`	function
`extract_gyrokinetics_profile_eigenfunction`	function
`extract_gyrokinetics_spectrum_energy_flux`	function
`extract_gyrokinetics_spectrum_frequency`	function
`extract_gyrokinetics_spectrum_growth_rate`	function
`extract_gyrokinetics_spectrum_particle_flux`	function
`extract_impa_overview`	function
`extract_impa_profile_field`	function
`extract_impa_time_field`	function
`extract_impa_time_voltage`	function
`extract_impurity_profile_charge_state_fraction`	function
`extract_impurity_profile_composition`	function
`extract_interferometer_overview`	function
`extract_interferometer_spectrogram`	function
`extract_interferometer_spectrum`	function
`extract_interferometer_time_n_e_line`	function
`extract_ion_temperature_profile`	function
`extract_ion_temperature_profile_gradient`	function
`extract_kinetic_overview_profiles`	function
`extract_kinetic_overview_state`	function
`extract_limiter_current_time`	function
`extract_machine_geometry3d`	function
`extract_machine_geometry_poloidal`	function
`extract_machine_geometry_topview`	function
`extract_magnetics_geometry_poloidal`	function
`extract_magnetics_overview`	function
`extract_magnetics_overview_plasma_residual`	function
`extract_magnetics_overview_vacuum`	function
`extract_magnetics_overview_vacuum_benchmark`	function
`extract_magnetics_table_vacuum_benchmark`	function
`extract_magnetics_table_vacuum_benchmark_aggregate`	function
`extract_mhd_linear_field_spectrum`	function
`extract_mhd_linear_geometry_island`	function
`extract_mhd_linear_overview_eigenfunction`	function
`extract_mhd_linear_profile_b_field_perturbed`	function
`extract_mhd_linear_profile_chirikov`	function
`extract_mhd_linear_profile_displacement`	function
`extract_mhd_linear_profile_island_width`	function
`extract_mhd_linear_profile_resonant_flux`	function
`extract_mhd_linear_spectrum_b_field_perturbed`	function
`extract_mhd_linear_time_energy_perturbed`	function
`extract_mirnov_spatial_phase`	function
`extract_mirnov_spectrogram`	function
`extract_mirnov_spectrum`	function
`extract_mirnov_time_voltage`	function
`extract_nbi_profile_current_drive`	function
`extract_nbi_profile_electron_heating`	function
`extract_nbi_profile_ion_heating`	function
`extract_neoclassical_profile_bootstrap_current`	function
`extract_ntms_time_delta_prime`	function
`extract_passive_structure_field_wall_reduction`	function
`extract_passive_structure_geometry_poloidal`	function
`extract_passive_structure_geometry_wall_mode`	function
`extract_passive_structure_overview_wall_reduction`	function
`extract_passive_structure_overview_wall_time`	function
`extract_passive_structure_time_current`	function
`extract_pf_coil_geometry_poloidal`	function
`extract_pf_coil_time_current`	function
`extract_pf_coil_time_current_turns`	function
`extract_pf_plasma_geometry_poloidal`	function
`extract_plasma_current_time`	function
`extract_rogowski_coil_time_current`	function
`extract_soft_x_rays_geometry_lines_of_sight`	function
`extract_soft_x_rays_overview`	function
`extract_soft_x_rays_spectrogram`	function
`extract_soft_x_rays_spectrum`	function
`extract_soft_x_rays_time_power`	function
`extract_spectrometer_uv_time_impurity`	function
`extract_spectrometer_uv_time_intensity`	function
`extract_startup_proxies_time`	function
`extract_summary_time_energy`	function
`extract_summary_time_estimated_q95`	function
`extract_summary_time_normalized_current`	function
`extract_summary_time_power_balance`	function
`extract_summary_time_q_star_cylindrical`	function
`extract_summary_time_q_star_kink`	function
`extract_summary_time_resistive_zeff`	function
`extract_summary_time_romero_balance`	function
`extract_summary_time_voltage_consumption`	function
`extract_tf_coil_time_b_t`	function
`extract_tf_coil_time_b_t_vacuum_r`	function
`extract_tf_coil_time_current`	function
`extract_thermal_pressure_profile`	function
`extract_thomson_scattering_geometry_poloidal`	function
`extract_thomson_scattering_profile_electron_density`	function
`extract_thomson_scattering_profile_electron_temperature`	function
`extract_thomson_scattering_profile_fit`	function
`extract_thomson_scattering_time_electron_density`	function
`extract_thomson_scattering_time_electron_temperature`	function
`extract_turbulent_transport_overview`	function
`extract_turbulent_transport_profile_energy_flux`	function
`extract_turbulent_transport_profile_particle_flux`	function
`extract_vacuum_field`	function
`extract_vacuum_field_midplane`	function
`extract_wall_geometry_poloidal`	function
`plot_b_field_probe_spatial_field`	function
`plot_b_field_probe_time_field`	function
`plot_barometry_time_pressure`	function
`plot_camera_visible_animation_frames`	function Deprecated
`plot_camera_visible_image`	function
`plot_camera_visible_image_efit_overlay`	function
`plot_camera_visible_image_field_line`	function
`plot_camera_visible_image_fluctuation`	function
`plot_camera_visible_image_frame`	function
`plot_camera_visible_image_mhd_power`	function
`plot_camera_visible_image_vacuum_field_line`	function
`plot_camera_visible_spectrogram`	function
`plot_charge_exchange_geometry_poloidal`	function
`plot_charge_exchange_profile_fit`	function
`plot_charge_exchange_profile_ion_temperature`	function
`plot_charge_exchange_profile_velocity_tor`	function
`plot_charge_exchange_time_ion_temperature`	function
`plot_charge_exchange_time_velocity_tor`	function
`plot_chease_overview_profile_validity`	function
`plot_chease_overview_refinement_summary`	function
`plot_coil_3d_geometry3d`	function
`plot_coil_3d_geometry_topview`	function
`plot_coil_3d_profile_current`	function
`plot_coil_3d_spectrum_current`	function
`plot_coils_non_axisymmetric_geometry3d`	function Deprecated
`plot_coils_non_axisymmetric_geometry_topview`	function Deprecated
`plot_core_profiles_field_electron_density`	function Deprecated
`plot_core_profiles_field_electron_temperature`	function Deprecated
`plot_core_profiles_profile_electron_density`	function Deprecated
`plot_core_profiles_profile_electron_temperature`	function Deprecated
`plot_core_profiles_profile_ion_temperature`	function Deprecated
`plot_core_profiles_profile_pressure`	function Deprecated
`plot_core_profiles_profile_zeff`	function
`plot_core_profiles_time_electron_density`	function Deprecated
`plot_core_profiles_time_electron_temperature`	function Deprecated
`plot_core_profiles_time_volume_averaged`	function
`plot_current_overview`	function
`plot_current_overview_reconstruction`	function
`plot_diagnostics_overview`	function
`plot_diagnostics_spectrum_coherence`	function
`plot_diamagnetic_flux_time`	function
`plot_ec_launchers_time_power`	function
`plot_electromagnetics_time_current`	function Deprecated
`plot_electron_density_field`	function
`plot_electron_density_profile`	function
`plot_electron_density_profile_gradient`	function
`plot_electron_density_time`	function
`plot_electron_temperature_field`	function
`plot_electron_temperature_profile`	function
`plot_electron_temperature_profile_gradient`	function
`plot_electron_temperature_time`	function
`plot_equilibrium_field_2d`	function
`plot_equilibrium_field_psi`	function
`plot_equilibrium_field_psi_vacuum`	function
`plot_equilibrium_geometry_boundary`	function
`plot_equilibrium_geometry_topview`	function
`plot_equilibrium_overview`	function
`plot_equilibrium_overview_constraint_coverage`	function
`plot_equilibrium_overview_constraint_weights`	function
`plot_equilibrium_overview_constraints`	function
`plot_equilibrium_overview_convergence`	function
`plot_equilibrium_overview_fit_quality`	function
`plot_equilibrium_overview_histories`	function
`plot_equilibrium_overview_pressure_weight_scan`	function
`plot_equilibrium_overview_profiles`	function
`plot_equilibrium_overview_residuals`	function
`plot_equilibrium_overview_verification`	function
`plot_equilibrium_profile_f`	function
`plot_equilibrium_profile_ffprime`	function
`plot_equilibrium_profile_j_tor`	function
`plot_equilibrium_profile_pprime`	function
`plot_equilibrium_profile_pressure`	function
`plot_equilibrium_profile_q`	function
`plot_equilibrium_table_fit_quality`	function
`plot_equilibrium_table_summary`	function
`plot_equilibrium_table_validation`	function
`plot_equilibrium_text_summary`	function
`plot_equilibrium_time_beta`	function
`plot_equilibrium_time_beta_n`	function
`plot_equilibrium_time_beta_p`	function
`plot_equilibrium_time_beta_pol`	function Deprecated
`plot_equilibrium_time_beta_t`	function
`plot_equilibrium_time_beta_tor`	function Deprecated
`plot_equilibrium_time_diamagnetic_flux`	function
`plot_equilibrium_time_elongation`	function
`plot_equilibrium_time_li`	function
`plot_equilibrium_time_major_radius`	function
`plot_equilibrium_time_minor_radius`	function
`plot_equilibrium_time_plasma_current`	function
`plot_equilibrium_time_q0`	function
`plot_equilibrium_time_q95`	function
`plot_equilibrium_time_qa`	function
`plot_equilibrium_time_shape`	function
`plot_equilibrium_time_triangularity`	function
`plot_equilibrium_time_triangularity_lower`	function
`plot_equilibrium_time_triangularity_upper`	function
`plot_equilibrium_time_virial`	function
`plot_equilibrium_time_w_mag`	function
`plot_equilibrium_time_w_mhd`	function
`plot_equilibrium_time_w_tot`	function
`plot_field_line_topology_field_connection_length`	function
`plot_flux_loop_spatial_flux`	function
`plot_flux_loop_time_flux`	function
`plot_flux_loop_time_voltage`	function
`plot_gyrokinetics_overview`	function
`plot_gyrokinetics_profile_eigenfunction`	function
`plot_gyrokinetics_spectrum_energy_flux`	function
`plot_gyrokinetics_spectrum_frequency`	function
`plot_gyrokinetics_spectrum_growth_rate`	function
`plot_gyrokinetics_spectrum_particle_flux`	function
`plot_impa_overview`	function
`plot_impa_profile_field`	function
`plot_impa_time_field`	function
`plot_impa_time_voltage`	function
`plot_impurity_profile_charge_state_fraction`	function
`plot_impurity_profile_composition`	function
`plot_interferometer_overview`	function
`plot_interferometer_spectrogram`	function
`plot_interferometer_spectrum`	function
`plot_interferometer_time_n_e_line`	function
`plot_ion_temperature_profile`	function
`plot_ion_temperature_profile_gradient`	function
`plot_kinetic_overview_profiles`	function
`plot_kinetic_overview_state`	function
`plot_limiter_current_time`	function
`plot_machine_geometry3d`	function
`plot_machine_geometry_poloidal`	function
`plot_machine_geometry_topview`	function
`plot_magnetics_geometry_poloidal`	function
`plot_magnetics_overview`	function
`plot_magnetics_overview_impa`	function Deprecated
`plot_magnetics_overview_plasma_residual`	function
`plot_magnetics_overview_vacuum`	function
`plot_magnetics_overview_vacuum_benchmark`	function
`plot_magnetics_profile_impa_tf`	function Deprecated
`plot_magnetics_spectrogram_mirnov`	function Deprecated
`plot_magnetics_spectrum_mirnov`	function Deprecated
`plot_magnetics_table_vacuum_benchmark`	function
`plot_magnetics_table_vacuum_benchmark_aggregate`	function
`plot_magnetics_time_b_field_pol_probe_field`	function Deprecated
`plot_magnetics_time_diamagnetic_flux`	function Deprecated
`plot_magnetics_time_flux_loop_flux`	function Deprecated
`plot_magnetics_time_flux_loop_voltage`	function Deprecated
`plot_magnetics_time_impa_field`	function Deprecated
`plot_magnetics_time_impa_voltage`	function Deprecated
`plot_magnetics_time_ip`	function Deprecated
`plot_magnetics_time_limiter_current`	function Deprecated
`plot_magnetics_time_mirnov_voltage`	function Deprecated
`plot_mhd_linear_field_spectrum`	function
`plot_mhd_linear_geometry_island`	function
`plot_mhd_linear_overview_eigenfunction`	function
`plot_mhd_linear_profile_b_field_perturbed`	function
`plot_mhd_linear_profile_chirikov`	function
`plot_mhd_linear_profile_displacement`	function
`plot_mhd_linear_profile_island_width`	function
`plot_mhd_linear_profile_resonant_flux`	function
`plot_mhd_linear_spectrum_b_field_perturbed`	function
`plot_mhd_linear_time_energy_perturbed`	function
`plot_mirnov_spatial_phase`	function
`plot_mirnov_spectrogram`	function
`plot_mirnov_spectrum`	function
`plot_mirnov_time_voltage`	function
`plot_nbi_profile_current_drive`	function
`plot_nbi_profile_electron_heating`	function
`plot_nbi_profile_ion_heating`	function
`plot_neoclassical_profile_bootstrap_current`	function
`plot_ntms_time_delta_prime`	function
`plot_passive_structure_field_wall_reduction`	function
`plot_passive_structure_geometry_poloidal`	function
`plot_passive_structure_geometry_wall_mode`	function
`plot_passive_structure_overview_wall_reduction`	function
`plot_passive_structure_overview_wall_time`	function
`plot_passive_structure_time_current`	function
`plot_pf_active_geometry_poloidal`	function Deprecated
`plot_pf_active_time_current`	function Deprecated
`plot_pf_active_time_current_turns`	function Deprecated
`plot_pf_coil_geometry_poloidal`	function
`plot_pf_coil_time_current`	function
`plot_pf_coil_time_current_turns`	function
`plot_pf_passive_geometry_poloidal`	function Deprecated
`plot_pf_plasma_geometry_poloidal`	function
`plot_plasma_current_time`	function
`plot_rogowski_coil_time_current`	function
`plot_soft_x_rays_geometry_lines_of_sight`	function
`plot_soft_x_rays_overview`	function
`plot_soft_x_rays_spectrogram`	function
`plot_soft_x_rays_spectrum`	function
`plot_soft_x_rays_time_power`	function
`plot_spectrometer_uv_time_impurity`	function
`plot_spectrometer_uv_time_intensity`	function
`plot_startup_proxies_time`	function
`plot_summary_time_beta`	function Deprecated
`plot_summary_time_energy`	function
`plot_summary_time_estimated_q95`	function
`plot_summary_time_normalized_current`	function
`plot_summary_time_power_balance`	function
`plot_summary_time_q_star_cylindrical`	function
`plot_summary_time_q_star_kink`	function
`plot_summary_time_resistive_zeff`	function
`plot_summary_time_romero_balance`	function
`plot_summary_time_voltage_consumption`	function
`plot_tf_coil_time_b_t`	function
`plot_tf_coil_time_b_t_vacuum_r`	function
`plot_tf_coil_time_current`	function
`plot_tf_time_b_field_tor`	function Deprecated
`plot_tf_time_b_field_tor_vacuum_r`	function Deprecated
`plot_tf_time_coil_current`	function Deprecated
`plot_thermal_pressure_profile`	function
`plot_thomson_scattering_geometry_poloidal`	function
`plot_thomson_scattering_profile_electron_density`	function
`plot_thomson_scattering_profile_electron_temperature`	function
`plot_thomson_scattering_profile_fit`	function
`plot_thomson_scattering_time_electron_density`	function
`plot_thomson_scattering_time_electron_temperature`	function
`plot_turbulent_transport_overview`	function
`plot_turbulent_transport_profile_energy_flux`	function
`plot_turbulent_transport_profile_particle_flux`	function
`plot_vacuum_field`	function
`plot_vacuum_field_midplane`	function
`plot_wall_geometry_poloidal`	function
`render`	function
`vaft.omas.process_wrapper`
`ALPHA_METHODS`	data
`camera_projection_for`	function
`clear_vacuum_field_cache`	function
`COINCIDENT_SOURCE_TOL`	data
`compute_camera_visible_efit_overlay`	function
`compute_camera_visible_field_line_overlay`	function
`compute_camera_visible_vacuum_field_lines`	function
`compute_connection_length_map_ods`	function
`compute_core_profile_2d`	function
`compute_core_profile_psi`	function
`compute_decay_index_ods`	function
`compute_diamagnetic_flux_measured_vs_computed`	function
`compute_diamagnetism`	function
`compute_eddy_currents`	function
`compute_ejiri_mirror_proxy_ods`	function
`compute_field_line_trace`	function
`compute_grad_shafranov_residual`	function
`compute_grid_ods`	function
`compute_grid_response_ods`	function
`compute_impedance_matrices_ods`	function
`compute_magnetic_energy`	function
`compute_null_ods`	function
`compute_ohmic_heating_power_from_core_profiles`	function
`compute_parallel_current_from_toroidal`	function
`compute_point_response_matrices_ods`	function
`compute_point_response_ods`	function
`compute_point_vacuum_fields_ods`	function
`compute_prefill_pressure_ods`	function
`compute_reconstructed_diamagnetic_flux`	function
`compute_romero_flux_balance_ods`	function
`compute_startup_loop_voltage_ods`	function
`compute_startup_proxies_ods`	function
`compute_vacuum_field_map`	function
`compute_vacuum_midplane_profiles_ods`	function
`compute_virial_equilibrium_quantities_ods`	function
`compute_volume_averaged_pressure`	function
`compute_wall_mode_basis_ods`	function
`DT_SUB`	data
`EC_FREQUENCY_VEST_HZ`	data
`ensure_em_coupling`	function
`GEOMETRY_TYPE_POLYGON`	data
`GEOMETRY_TYPE_RECTANGLE`	data
`PREFILL_WINDOW_S`	data
`vaft.omas.reference`
`ArtifactVerification`	class
`load_reference_manifest`	function
`ReferenceManifestError`	class
`sha256_file`	function
`verify_reference_artifacts`	function
`vaft.omas.resistive_zeff`
`compute_resistive_zeff_ods`	function
`current_carrying_window`	function
`detected_psi_per_radian`	function
`flux_surface_state_ods`	function
`romero_boundary_flux_ods`	function
`vaft.omas.sample`
`sample_equilibria`	function
`sample_gfile`	function
`sample_ods`	function
`vaft.omas.shot_class`
`CLASS_BD_FAILURE`	data
`CLASS_PLASMA`	data
`CLASS_VACUUM`	data
`DECIDED_IP_PULSE`	data
`DECIDED_NONE`	data
`DECIDED_OPTICAL_WINDOW`	data
`DECIDED_PRESSURE`	data
`MIN_PLASMA_CURRENT_A`	data
`PRESSURE_BASE`	data
`pressure_response`	function
`shot_class`	function
`ShotClass`	class
`vaft.omas.startup_summary`
`NULL_FIELD_THRESHOLD_T`	data
`startup_summary`	function
`vaft.omas.update`
`resolve_reference_major_radius`	function
`update_core_profiles_global_quantities_volume_average`	function
`update_equilibrium_boundary`	function
`update_equilibrium_constraints_diamagnetic_flux`	function
`update_equilibrium_coordinates`	function
`update_equilibrium_derived_profiles`	function
`update_equilibrium_global_quantities_area`	function
`update_equilibrium_global_quantities_beta_li`	function
`update_equilibrium_global_quantities_q_min`	function
`update_equilibrium_global_quantities_volume`	function
`update_equilibrium_profiles_1d_geometry`	function
`update_equilibrium_profiles_1d_j_tor`	function
`update_equilibrium_profiles_1d_normalized_psi`	function
`update_equilibrium_profiles_1d_radial_coordinates`	function
`update_equilibrium_profiles_1d_toroidal_flux`	function
`update_equilibrium_profiles_2d_b_field`	function
`update_equilibrium_profiles_2d_j_tor`	function
`update_equilibrium_profiles_2d_sfl_coordinates`	function
`update_equilibrium_stored_energy`	function
`vaft.omas.vacuum_magnetics`
`channel_residual_metrics`	function
`DEFAULT_MIN_WALL_AUTHORITY`	data
`eddy_improvement`	function
`evaluation_mask`	function
`plasma_free_boundary`	function
`plasma_free_residual`	function
`plasma_onset_time`	function
`plasma_window`	function
`probe_family`	function
`quality_gate`	function
`QualityGate`	class
`residual_onset`	function
`residual_rms`	function
`select_vacuum_channels`	function
`synthetic_vacuum_magnetics`	function
`vacuum_magnetics_metrics`	function
`VACUUM_METRICS_SCHEMA`	data
`vacuum_residual_metrics`	function
`vacuum_response`	function
`VacuumChannel`	class
`VacuumMagneticsError`	class
`wall_authority`	function
`vaft.omas.vest_upstream`
`archive_raw_source`	function
`build_diagnostics_ods`	function
`build_eddy_ods`	function
`build_gpec_ideal_ods`	function
`build_static_ods`	function
`machine_era`	function
`machine_era_for_shot`	function
`VEST_MACHINE_ERAS`	data
`VestMachineEra`	class
`write_manifest`	function
`write_stage_product`	function

vaft.omas

`load`

function source

load(source, *, imas_version=None)

Read any supported local artifact and return a normalized OMAS ODS.

`load_omas_json`

function source

load_omas_json(source, *args, **kwargs)

Load OMAS JSON from a string or any os.PathLike path.

`save`

function source

save(ods, target, *, compression=None)

Save an OMAS ODS as JSON, HDF5 or netCDF, chosen from target’s suffix.

`to_equilibrium`

function source

to_equilibrium(ods, *, time_index=0, profile_index=0, convention=None)

Adapt one ODS equilibrium slice to the lightweight scientific model.

vaft.omas.comparison

Deterministic comparison and reporting for OMAS reference products.

`compare_ods`

function source

compare_ods(reference: Any, candidate: Any, *, policy: TolerancePolicy | str | Path | Mapping[str, Any] | None = None, paths: Sequence[str] | None = None, scope: str = 'union', reference_label: str = 'reference', candidate_label: str = 'candidate') -> ODSComparison

Compare two ODS products leaf-by-leaf.

Also exported as vaft.omas.compare_ods.

`ComparisonEntry`

class source

ComparisonEntry(path: str, classification: ParityClassification, kind: DifferenceKind, message: str, reference_shape: tuple[int, ...] | None = None, candidate_shape: tuple[int, ...] | None = None, reference_type: str | None = None, candidate_type: str | None = None, rtol: float | None = None, atol: float | None = None, max_abs_error: float | None = None, max_rel_error: float | None = None, policy_rule: str | None = None, policy_note: str | None = None) -> None

Comparison result for one ODS leaf path.

Also exported as vaft.omas.ComparisonEntry.

14 fields · 1 members

path: str
classification: ParityClassification
kind: DifferenceKind
message: str
reference_shape: tuple[int, ...] | None
candidate_shape: tuple[int, ...] | None
reference_type: str | None
candidate_type: str | None
rtol: float | None
atol: float | None
max_abs_error: float | None
max_rel_error: float | None
policy_rule: str | None
policy_note: str | None
to_dict method source

`DifferenceKind`

class source

Machine-readable reason for a non-exact comparison.

Also exported as vaft.omas.DifferenceKind.

9 fields

EXACT: 'exact'
MISSING_REFERENCE: 'structure.missing_reference'
MISSING_CANDIDATE: 'structure.missing_candidate'
SHAPE: 'structure.shape'
TYPE: 'structure.type'
METADATA: 'metadata'
TIME: 'time'
NUMERICAL: 'numerical'
VALUE: 'value'

`load_tolerance_policy`

function source

load_tolerance_policy(source: str | Path | Mapping[str, Any]) -> TolerancePolicy

Load and validate a versioned YAML tolerance policy.

Also exported as vaft.omas.load_tolerance_policy.

`ODSComparison`

class source

ODSComparison(reference_label: str, candidate_label: str, entries: tuple[ComparisonEntry, ...], scope: str = 'union', compared_at: str = <factory>, schema_version: int = 1) -> None

Complete comparison with deterministic summaries and report renderers.

Also exported as vaft.omas.ODSComparison.

6 fields · 5 members

reference_label: str
candidate_label: str
entries: tuple[ComparisonEntry, ...]
scope: str
compared_at: str
schema_version: int
passed property source
classification property source
summary method source
to_dict method source
to_markdown method source

`ParityClassification`

class source

Scientific interpretation of one comparison outcome.

Also exported as vaft.omas.ParityClassification.

5 fields

EXACT: 'exact_parity'
ACCEPTABLE: 'acceptable_numerical_parity'
INTENTIONAL: 'intentional_improvement'
REGRESSION: 'unintended_regression'
UNAVAILABLE: 'unavailable_reference'

`Tolerance`

class source

Tolerance(rtol: float = 0.0, atol: float = 0.0, equal_nan: bool = True, mismatch_classification: ParityClassification = <ParityClassification.REGRESSION: 'unintended_regression'>, note: str | None = None, rule: str | None = None) -> None

Resolved comparison policy for a single ODS path.

Also exported as vaft.omas.Tolerance.

6 fields

rtol: float
atol: float
equal_nan: bool
mismatch_classification: ParityClassification
note: str | None
rule: str | None

`TolerancePolicy`

class source

TolerancePolicy(schema_version: int = 1, default: Tolerance = <factory>, time: Tolerance = <factory>, rules: tuple[ToleranceRule, ...] = ()) -> None

Versioned default, time, and path-specific tolerance policy.

Also exported as vaft.omas.TolerancePolicy.

4 fields · 1 members

schema_version: int
default: Tolerance
time: Tolerance
rules: tuple[ToleranceRule, ...]
resolve method — Resolve a path using last-matching-rule-wins semantics. source

`ToleranceRule`

class source

ToleranceRule(path: str, rtol: float | None = None, atol: float | None = None, equal_nan: bool | None = None, mismatch_classification: ParityClassification | None = None, note: str | None = None) -> None

Glob-selected overrides applied in declaration order.

Also exported as vaft.omas.ToleranceRule.

6 fields

path: str
rtol: float | None
atol: float | None
equal_nan: bool | None
mismatch_classification: ParityClassification | None
note: str | None

`write_comparison_reports`

function source

write_comparison_reports(comparison: ODSComparison, *, json_path: str | Path | None = None, markdown_path: str | Path | None = None) -> tuple[Path | None, Path | None]

Write deterministic machine-readable and human-readable reports.

Also exported as vaft.omas.write_comparison_reports.

vaft.omas.confinement

ODS adapter of the experimental Ohmic confinement chain (issue #1905).

`ohmic_confinement_ods`

function source

ohmic_confinement_ods(ods: Any, *, diagnostics: Any = None, time_slices: Optional[Sequence[int]] = None, w_source: str = 'efit_pressure', require_positive_energy: bool = False, loop_index: Optional[int] = None, rate_window_s: float = 0.003, rate_polyorder: int = 1, dip_window_s: float = 0.001, average_window_s: float = 0.0005, hold_li3_where_missing: bool = True) -> OhmicConfinementODS

Ohmic power balance and confinement time of a discharge from its ODS (#1905 Sec. 3).

`OhmicConfinementODS`

class source

OhmicConfinementODS(chain: OhmicConfinement, eq_index: np.ndarray, loop_index: int, loop_name: str, loop_r_m: float, loop_z_m: float, voltage_source: str, w_source: str) -> None

vaft.process.confinement.OhmicConfinement of an ODS, with what was read to build it.

8 fields

chain: OhmicConfinement
eq_index: np.ndarray
loop_index: int
loop_name: str
loop_r_m: float
loop_z_m: float
voltage_source: str
w_source: str

`W_SOURCES`

data

W_SOURCES = <builtins.dict>

vaft.omas.discharge_timing

Discharge-timing events of a shot, from an ODS, with their provenance (issue #409).

`COIL_BASE`

data

COIL_BASE = 'pf_active.coil'

`coil_onsets`

function source

coil_onsets(ods: Any, *, span: AnalysisSpan | None = None, policy: DischargeTimingPolicy | None = None, names: Iterable[str] | None = None) -> tuple[CoilOnset, ...]

The onset of every pf_active coil current, in coil order.

`CoilOnset`

class source

CoilOnset(index: int, name: str, onset: OnsetRecord, polarity: str | None) -> None

When one poloidal-field coil started to carry current, and on what evidence.

4 fields · 4 members

index: int
name: str
onset: OnsetRecord
polarity: str | None
time property source
found property source
flags property source
record method source

`discharge_timing`

function source

discharge_timing(ods: Any, *, policy: DischargeTimingPolicy | None = None) -> DischargeTiming

Every actuator event the products carry, with provenance.

`DischargeTiming`

class source

DischargeTiming(oh: CoilOnset | None, oh_coil: str, vloop: LoopVoltageEvent, pf_onsets: tuple[CoilOnset, ...], not_present: Mapping[str, str], flags: tuple[str, ...], span: AnalysisSpan) -> None

The actuator events of one shot.

9 fields · 4 members

oh: CoilOnset | None
oh_coil: str
vloop: LoopVoltageEvent
pf_onsets: tuple[CoilOnset, ...]
not_present: Mapping[str, str]
flags: tuple[str, ...]
span: AnalysisSpan
ec: None
gas: None
oh_onset property source
vloop_time property source
summary method — What a manifest or a metrics record carries: the events and their provenance. source
record method — Everything, including every detector record. source

`DischargeTimingError`

class source

A configuration problem that prevents any discharge timing at all.

`FLUX_LOOP_BASE`

data

FLUX_LOOP_BASE = 'magnetics.flux_loop'

`inboard_midplane_loop`

function source

inboard_midplane_loop(ods: Any) -> int | None

The flux loop that measures the inboard-midplane loop voltage.

`loop_voltage`

function source

loop_voltage(ods: Any, index: int, *, prefer_measured: bool = True) -> tuple[np.ndarray, np.ndarray, str] | None

(time, voltage, source) of flux loop index.

`loop_voltage_event`

function source

loop_voltage_event(ods: Any, *, anchor: CoilOnset | None, span: AnalysisSpan | None = None, policy: DischargeTimingPolicy | None = None) -> LoopVoltageEvent

The zero crossing of the inboard-midplane loop voltage after the excursion anchor drives.

`LoopVoltageEvent`

class source

LoopVoltageEvent(loop_index: int, loop_name: str, flags: tuple[str, ...], position: tuple[float, float] | None = None, voltage_source: str | None = None, anchor_time: float | None = None, event: OnsetRecord | None = None) -> None

The solenoid-driven loop-voltage excursion and its zero crossing.

7 fields · 9 members

loop_index: int
loop_name: str
flags: tuple[str, ...]
position: tuple[float, float] | None
voltage_source: str | None
anchor_time: float | None
event: OnsetRecord | None
found property source
zero_crossing property source
excursion_time property source
excursion_value property source
approach_min property source
approach_time property source
base property source
summary method source
record method source

`NOT_PRESENT`

data

NOT_PRESENT = <builtins.dict>

`oh_coil_onset`

function source

oh_coil_onset(ods: Any, *, span: AnalysisSpan | None = None, policy: DischargeTimingPolicy | None = None, onsets: tuple[CoilOnset, ...] | None = None) -> CoilOnset | None

The CoilOnset of the policy’s ohmic_coil, or None when no coil has that name.

`VOLTAGE_DERIVED`

data

VOLTAGE_DERIVED = 'dflux_dt'

`VOLTAGE_MEASURED`

data

VOLTAGE_MEASURED = 'voltage'

vaft.omas.discovery

ODS-aware plot discovery: OMAS inputs in, the shared catalog out (issue #262).

`describe`

function source

describe(source: Any = None, *, query: str | None = None, detail: bool = False, available_only: bool | None = None, **filters: Any) -> PlotCatalog

The catalog of plots, evaluated against source when one is given.

vaft.omas.edge_q

Edge safety-factor estimates from an ODS, with or without an equilibrium (#1583).

`edge_q_estimate`

function source

edge_q_estimate(ods: Any, *, source: str = 'auto', shape: Optional[Mapping[str, Any]] = None, scaling: Optional[str] = None, configuration: Optional[str] = None, current_threshold: Optional[float] = None, info_file: Optional[str] = None) -> EdgeQEstimate

Estimated q95, Menard q, Freidberg q and I_N of one discharge.

Also exported as vaft.omas.edge_q_estimate.

`EdgeQEstimate`

class source

EdgeQEstimate(time: np.ndarray, estimated_q95: np.ndarray, q_star_cylindrical: np.ndarray, q_star_kink: np.ndarray, normalized_current: np.ndarray, plasma_current: np.ndarray, toroidal_field: np.ndarray, shape: Mapping[str, np.ndarray], scaling: str, configuration: str, source: str, shape_source: str, current_source: str, field_source: str, current_threshold: float, equilibrium_time: Optional[np.ndarray] = None, equilibrium_q95: Optional[np.ndarray] = None, notes: tuple[str, ...] = <factory>) -> None

Edge-q proxies on one time base, with where every input came from.

Also exported as vaft.omas.EdgeQEstimate.

18 fields · 2 members

time: np.ndarray
estimated_q95: np.ndarray
q_star_cylindrical: np.ndarray
q_star_kink: np.ndarray
normalized_current: np.ndarray
plasma_current: np.ndarray
toroidal_field: np.ndarray
shape: Mapping[str, np.ndarray]
scaling: str
configuration: str
source: str
shape_source: str
current_source: str
field_source: str
current_threshold: float
equilibrium_time: Optional[np.ndarray]
equilibrium_q95: Optional[np.ndarray]
notes: tuple[str, ...]
label property — "q95 (START estimate)" or "q95 (ITER estimate)"; never bare q95. source
provenance property — One line naming the scaling and the source of every input. source

vaft.omas.efit_quality

EFIT goodness-of-fit and numerical-convergence metrics (issue #139).

`classify_fit_role`

function source

classify_fit_role(ods: Any, table: ConstraintTable, *, time_slice: int) -> str

Whether table’s family was fitted or handed back unchanged.

`CONSTRAINT_FAMILIES`

data

CONSTRAINT_FAMILIES = <builtins.tuple>

`constraint_state`

function source

constraint_state(measured: float, weight: float) -> str

Classify one channel from what the constraint builder wrote.

`CONSTRAINT_STATES`

data

CONSTRAINT_STATES = ('enabled', 'disabled', 'missing')

`constraint_table`

function source

constraint_table(ods: Any, *, time_slice: int, family: str, is_array: bool = True, scale: float = 1.0) -> ConstraintTable

Read one constraint family at one slice into parallel arrays.

`constraint_uncertainty_model`

function source

constraint_uncertainty_model(ods: Any) -> str

The uncertainty model the submitted constraints were written under.

`ConstraintTable`

class source

ConstraintTable(family: str, index: np.ndarray, measured: np.ndarray, reconstructed: np.ndarray, uncertainty: np.ndarray, weight: np.ndarray, chi_squared: np.ndarray, state: tuple[str, ...], source: tuple[str, ...]) -> None

One EFIT constraint family at one time slice, channel by channel.

9 fields · 3 members

family: str
index: np.ndarray
measured: np.ndarray
reconstructed: np.ndarray
uncertainty: np.ndarray
weight: np.ndarray
chi_squared: np.ndarray
state: tuple[str, ...]
source: tuple[str, ...]
residual property source
mask method source
count method source

`convergence_metrics`

function source

convergence_metrics(ods: Any, *, time_slice: int) -> dict[str, Any]

Numerical-convergence metrics for one slice, from EFIT-native output.

`efit_quality_metrics`

function source

efit_quality_metrics(ods: Any) -> dict[str, Any]

Goodness-of-fit and convergence metrics for every reconstructed slice.

`FAMILIES`

data

FAMILIES = <builtins.tuple>

`family_chi_squared_sum`

function source

family_chi_squared_sum(table: ConstraintTable) -> float

Chi-square summed over the family’s enabled channels only.

`fit_quality_metrics`

function source

fit_quality_metrics(ods: Any, *, time_slice: int) -> dict[str, Any]

Goodness-of-fit metrics for one reconstructed time slice.

`FIT_ROLES`

data

FIT_ROLES = ('fitted', 'prescribed')

`fitted_mask`

function source

fitted_mask(table: ConstraintTable) -> np.ndarray

Channels EFIT fitted that carry a usable residual.

`ip_chi_squared_record`

function source

ip_chi_squared_record(measured: float, reconstructed: float, sigma: float, reported: float) -> dict[str, Any]

The plasma-current chi-square recomputed from the plasma-only residual.

`iteration_cap_reached`

function source

iteration_cap_reached(iterations: float, mxiter: float, nxiter: float, iconvr: float = 2.0, *, final_error: float = nan, error: float = nan, errmin: float = nan, elongation: float = nan, elomin: float = nan, fwtdlc: float = nan, errmin_source: str = '') -> tuple[bool | None, str]

Whether a slice ran out of EFIT’s outer passes, from what it left behind.

`KINETIC_FAMILIES`

data

KINETIC_FAMILIES = <builtins.tuple>

`normalizable_mask`

function source

normalizable_mask(table: ConstraintTable, z: np.ndarray) -> np.ndarray

Fitted channels whose normalized residual is also finite.

`normalized_residuals`

function source

normalized_residuals(table: ConstraintTable, k: float) -> np.ndarray

Residuals in units of the uncertainty EFIT assigned: z = (m-r)*w/k.

`run_test_z`

function source

run_test_z(values: np.ndarray) -> float

Wald-Wolfowitz runs-test z-score for the sign sequence of values.

`sigma_unit_factor`

function source

sigma_unit_factor(table: ConstraintTable) -> tuple[float, float]

Recover EFIT’s units-of-fit factor k from its own chi-square.

`slice_times`

function source

slice_times(ods: Any) -> np.ndarray

Reconstruction time per equilibrium slice, falling back to slice index.

vaft.omas.entries

Turn OMAS inputs into the (label, ods) entries the recipes read.

`extract_labels_from_odc`

function source

extract_labels_from_odc(odc: Any, opt: str = 'shot') -> list[str]

Return one label per ODC entry.

Also exported as vaft.omas.plotting.extract_labels_from_odc.

`normalize_entries`

function source

normalize_entries(source: Any, *, label: str | Sequence[str] = 'shot') -> tuple[tuple[str, Any], ...]

Return deterministic (label, ods) pairs for any supported input.

Also exported as vaft.omas.plotting.normalize_entries.

vaft.omas.equilibrium_state

Equilibrium-only plasma states as one canonical table, for operational-space plots (#1620).

`ATLAS_EXTRA_UNITS`

data

ATLAS_EXTRA_UNITS = <builtins.dict>

Also exported as vaft.omas.ATLAS_EXTRA_UNITS.

`atlas_state_table`

function source

atlas_state_table(base, *, machine: str = 'VEST', machine_class: str = 'spherical_tokamak', dataset_source: str = 'VEST Tier A atlas (#1331)')

The conference atlas base table as an equilibrium-state table.

Also exported as vaft.omas.atlas_state_table.

`EQUILIBRIUM_STATE_CONVENTIONS`

data

EQUILIBRIUM_STATE_CONVENTIONS = <builtins.dict>

`equilibrium_state_rows`

function source

equilibrium_state_rows(ods: Any, provenance: Optional[Mapping[str, Any]] = None, *, time_indices: Optional[Sequence[int]] = None, cocos: Optional[int] = None) -> list

One row per equilibrium time slice of one ODS.

Also exported as vaft.omas.equilibrium_state_rows.

`equilibrium_state_table`

function source

equilibrium_state_table(entries: Iterable, *, cocos: Optional[Mapping[str, int]] = None)

The canonical equilibrium-state table of several sources.

Also exported as vaft.omas.equilibrium_state_table.

`EQUILIBRIUM_STATE_UNITS`

data

EQUILIBRIUM_STATE_UNITS = <builtins.dict>

Also exported as vaft.omas.EQUILIBRIUM_STATE_UNITS.

vaft.omas.fluctuation

ODS-level helpers for fluctuation and transient analysis (issue #1005).

`DiagnosticSelection`

class source

DiagnosticSelection(diagnostic: str, channel: int | str | None = None, emission: str | None = None, quantity: str | None = None, energy_band: int | None = None, energy_axis: int | None = None, region: tuple[int, int, int, int] | None = None, detector: int = 0, component_time: Any = None, component_data: Any = None, component_label: str | None = None, usable_bandwidth_hz: float | None = None, units: str | None = None, background_frames: int | None = None) -> None

One explicit representative scalar signal for one diagnostic family.

Also exported as vaft.omas.DiagnosticSelection.

14 fields

diagnostic: str
channel: int | str | None
emission: str | None
quantity: str | None
energy_band: int | None
energy_axis: int | None
region: tuple[int, int, int, int] | None
detector: int
component_time: Any
component_data: Any
component_label: str | None
usable_bandwidth_hz: float | None
units: str | None
background_frames: int | None

`fluctuation_bandwidths`

function source

fluctuation_bandwidths(ods: Any) -> dict[str, tuple[float, float]]

{diagnostic: (sample_rate [Hz], nyquist [Hz])} read off the stored time bases.

Also exported as vaft.omas.fluctuation_bandwidths.

`FLUCTUATION_DIAGNOSTICS`

data

FLUCTUATION_DIAGNOSTICS = <builtins.dict>

`select_fluctuation_records`

function source

select_fluctuation_records(ods: Any, selections: Sequence[DiagnosticSelection]) -> SelectedDiagnostics

Read one explicitly chosen scalar representative per diagnostic.

Also exported as vaft.omas.select_fluctuation_records.

`SelectedDiagnostics`

class source

SelectedDiagnostics(records: tuple[Any, ...], sources: tuple[str, ...]) -> None

Selected records and matching source descriptions in diagnostic order.

Also exported as vaft.omas.SelectedDiagnostics.

2 fields

records: tuple[Any, ...]
sources: tuple[str, ...]

`vertical_position_history`

function source

vertical_position_history(ods: Any) -> VerticalPositionHistory

Magnetic-axis Z(t) [m] and dZ/dt [m/s] from the stored equilibrium slices.

Also exported as vaft.omas.vertical_position_history.

`VerticalPositionHistory`

class source

VerticalPositionHistory(time: np.ndarray | None, z_axis: np.ndarray | None, dz_dt: np.ndarray | None, r_axis: np.ndarray | None, valid: np.ndarray | None, reason: str | None = None) -> None

Magnetic-axis height and its rate over the equilibrium slices, time-ordered.

Also exported as vaft.omas.VerticalPositionHistory.

6 fields · 1 members

time: np.ndarray | None
z_axis: np.ndarray | None
dz_dt: np.ndarray | None
r_axis: np.ndarray | None
valid: np.ndarray | None
reason: str | None
found property source

vaft.omas.formula_wrapper

`compute_bremsstrahlung_power`

function source

compute_bremsstrahlung_power(ods: ODS, time_slice: Optional[int] = None, Z_eff: float = 2.0) -> Tuple[float, float]

Compute bremsstrahlung power from core profiles using two methods.

Also exported as vaft.omas.compute_bremsstrahlung_power.

`compute_confiment_time_paramters`

function source

compute_confiment_time_paramters(ods: ODS, time_slice: int, Z_eff: float = 2.0, M: float = 1.0) -> Tuple[float, float, float, float, float, float, float]

Compute confinement-time parameters and H-factor at a given time slice.

Also exported as vaft.omas.compute_confiment_time_paramters.

`compute_magnetic_shear`

function source

compute_magnetic_shear(ods, time_slice: slice) -> ndarray

Compute magnetic shear from ODS

Also exported as vaft.omas.compute_magnetic_shear.

`compute_power_balance`

function source

compute_power_balance(ods: ODS, include_line_radiation: bool = True, line_radiation_species: Optional[List[str]] = None, impurity_fractions: Optional[Dict[str, float]] = None, Z_eff: Optional[float] = 2.0) -> Dict[str, ndarray]

Compute power balance time series with optional OPEN-ADAS line radiation:

Also exported as vaft.omas.compute_power_balance.

`compute_tau_E_engineering_parameters`

function source

compute_tau_E_engineering_parameters(ods, time_slice: int, Z_eff: float = 2.0, M: float = 1.0) -> Dict[str, float]

Compute engineering parameters required for confinement time scaling law.

Also exported as vaft.omas.compute_tau_E_engineering_parameters.

`compute_tau_E_exp`

functionDeprecated usage source

compute_tau_E_exp(ods, time_slice: int, Z_eff: float = 2.0) -> float

Compute experimental confinement time from stored energy and loss power.

Also exported as vaft.omas.compute_tau_E_exp.

`compute_tau_E_scaling`

function source

compute_tau_E_scaling(ods, time_slice: int, scaling: str, Z_eff: float = 2.0, M: float = 1.0, eng_params: Optional[Dict[str, float]] = None) -> float

Compute confinement time from scaling law using engineering parameters.

Also exported as vaft.omas.compute_tau_E_scaling.

`compute_voltage_consumption`

function source

compute_voltage_consumption(ods: ODS, time_slice=None) -> Tuple[ndarray, ndarray, ndarray, ndarray]

Compute loop / inductive / resistive voltage time series using:

Also exported as vaft.omas.compute_voltage_consumption.

vaft.omas.general

`change_time_convention`

function source

change_time_convention(odc_or_ods, convention='vloop')

Shift every time-like leaf so that convention’s origin is zero.

Also exported as vaft.omas.change_time_convention.

`classify_shot`

functionDeprecated usage source

classify_shot(ods, pressure_threshold=0.01, halpha_threshold=None)

The class of a shot – 'Plasma', 'BD failure' or 'Vacuum' – as a string.

Also exported as vaft.omas.classify_shot.

`COCOS_PARAMETER_PATH`

data

COCOS_PARAMETER_PATH = 'equilibrium.code.parameters.cocos'

Also exported as vaft.omas.COCOS_PARAMETER_PATH.

`combine_ods`

function source

combine_ods(ods_list)

Merge multiple ODS objects while automatically handling invalid IMAS structures.

Also exported as vaft.omas.combine_ods.

`equilibrium_psi_to_weber`

function source

equilibrium_psi_to_weber(ods, *, source=None)

Rewrite a per-radian equilibrium in place to COCOS 11, the DD’s weber.

Also exported as vaft.omas.equilibrium_psi_to_weber.

`find_breakdown_onset`

function source

find_breakdown_onset(ods)

The plasma onset from the shared timing (vaft.omas.plasma_timing).

Also exported as vaft.omas.find_breakdown_onset.

`find_bt`

function source

find_bt(ods)

The mean toroidal field at tf.r0 over the shared plasma window.

Also exported as vaft.omas.find_bt.

`find_chamber_boundary`

function source

find_chamber_boundary(ods)

Find the chamber boundary from the ODS.

Also exported as vaft.omas.find_chamber_boundary.

`find_ip_onset`

function source

find_ip_onset(ods)

The start of the plasma-current principal pulse, from the shared timing.

Also exported as vaft.omas.find_ip_onset.

`find_major_radius`

function source

find_major_radius(ods)

Placeholder for finding major radius.

Also exported as vaft.omas.find_major_radius.

`find_matching_time_indices`

function source

find_matching_time_indices(ods, time_slice=None, atol: float = 1e-06)

Find matching time indices between core_profiles and equilibrium time slices.

Also exported as vaft.omas.find_matching_time_indices.

`find_max_ip`

function source

find_max_ip(ods)

The representative peak of the plasma current inside the plasma window.

Also exported as vaft.omas.find_max_ip.

`find_pf_active_onset`

function source

find_pf_active_onset(ods)

The onset of every pf_active coil current, in coil order.

Also exported as vaft.omas.find_pf_active_onset.

`find_pulse_duration`

function source

find_pulse_duration(ods)

offset - onset of the shared plasma window.

Also exported as vaft.omas.find_pulse_duration.

`find_shotclass`

function source

find_shotclass(ods, plot_opt=0)

The lenient form of classify_shot: None when the ODS cannot be classified.

Also exported as vaft.omas.find_shotclass.

`find_shotnumber`

function source

find_shotnumber(ods)

Find the shot number from the ODS.

Also exported as vaft.omas.find_shotnumber.

`find_vloop_onset`

function source

find_vloop_onset(ods)

The loop-voltage zero crossing after the solenoid-driven excursion.

Also exported as vaft.omas.find_vloop_onset.

`odc_or_ods_check`

function source

odc_or_ods_check(odc_or_ods)

Check input type and initialize ODC if necessary.

Also exported as vaft.omas.odc_or_ods_check.

`ods_cocos`

function source

ods_cocos(ods, *, default=None)

The COCOS index an ODS declares, or default when it declares none.

Also exported as vaft.omas.ods_cocos.

`ONSET_METHOD`

data

ONSET_METHOD = 'plasma_timing/discharge_timing'

Also exported as vaft.omas.ONSET_METHOD.

`ONSET_METHOD_LEGACY`

data

ONSET_METHOD_LEGACY = 'legacy'

Also exported as vaft.omas.ONSET_METHOD_LEGACY.

`print_info`

function source

print_info(ods, key_name=None)

Print summary information and key structure of ODS.

Also exported as vaft.omas.print_info.

`set_ods_cocos`

function source

set_ods_cocos(ods, index, *, source=None)

Record index on ods so a consumer need not guess the convention.

Also exported as vaft.omas.set_ods_cocos.

`shift_time`

function source

shift_time(one_ods, time_shift)

Shifts ONLY a narrow, explicitly defined set of time-like fields.

Also exported as vaft.omas.shift_time.

`signal_time`

function source

signal_time(ods, data_path)

Return the time axis that actually belongs to data_path.

Also exported as vaft.omas.signal_time.

vaft.omas.interactive

Interactive equilibrium exploration (issue #261 §14-17).

`equilibrium_explorer_ids`

function source

equilibrium_explorer_ids() -> tuple[str, ...]

Every IDS plot_equilibrium_interactive reads, in declaration order.

`InteractiveEquilibrium`

class source

InteractiveEquilibrium(figure: Any, slice_axes: Any, navigator: SliceNavigator, history_axes: tuple[Any, ...], widget: Any = None) -> None

What plot_equilibrium_interactive returns.

5 fields · 1 members

figure: Any
slice_axes: Any
navigator: SliceNavigator
history_axes: tuple[Any, ...]
widget: Any
axes property source

`plot_diagnostics_time_interactive`

function source

plot_diagnostics_time_interactive(source: Any, *, backend: str = 'auto', show: bool = False, **options: Any) -> Any

The diagnostics overview with its panels and processing chosen live (issue #482).

Also exported as vaft.omas.plotting.plot_diagnostics_time_interactive.

`plot_equilibrium_interactive`

function source

plot_equilibrium_interactive(source: Any, *, time: float | None = None, time_slice: int | None = None, backend: str = 'auto', show: bool = False, figsize: tuple[float, float] | None = None, **options: Any) -> InteractiveEquilibrium

Explore one shot’s equilibrium slices with a shared selected time.

Also exported as vaft.omas.plotting.plot_equilibrium_interactive.

vaft.omas.kinetic_state_inference

The kinetic state inferred in named, inspectable stages: Romero first, T_i = T_e, n_C = n_O (issue #1842).

`combine_ti_ratios`

function source

combine_ti_ratios(ratios: Sequence[float], sigmas: Sequence[float]) -> dict[str, float]

One T_i/T_e for a time window from per-slice estimates: inverse-variance mean.

`DEFAULT_ELEMENTAL_WEIGHTS`

data

DEFAULT_ELEMENTAL_WEIGHTS = <builtins.dict>

`InferenceStage`

class source

InferenceStage(name: str, label: str, adds: tuple[str, ...], fields: Mapping[str, Any], provenance: Mapping[str, Any], assumptions: Mapping[str, Any], lands: Mapping[str, str], status: str = 'ok', reason: str = '') -> None

One stage of the chain: what it added, how it is known, and where it lands.

9 fields · 2 members

name: str
label: str
adds: tuple[str, ...]
fields: Mapping[str, Any]
provenance: Mapping[str, Any]
assumptions: Mapping[str, Any]
lands: Mapping[str, str]
status: str
reason: str
ok property source
record method — The stage without its arrays: what a log or a legend needs. source

`ION_TEMPERATURE_MODES`

data

ION_TEMPERATURE_MODES = ('assumed', 'inferred', 'inferred_ratio', 'inferred_profile')

`kinetic_state_stages`

function source

kinetic_state_stages(ods: ODS, *, time: float, equilibrium_lineage: str | None = None, elemental_weights: Mapping[str, float] | None = None, conductivity_model: str = 'redl', ln_lambda: Any = 'sauter', bounds: tuple[float, float] = (1.0, 8.0), i_ni_a: float = 0.0, ionization: str = 'transient', plasma_age_s: float | None = None, equilibrium_tolerance_s: float = 0.0005, max_excluded_current: float = 0.05, inductive_max: float = 1.0, tables: Mapping[str, Any] | None = None, cache_dir: str | None = None, ion_temperature: str = 'assumed', ti_floor: float = 0.17, ti_window_s: float = 0.001) -> KineticStateStages

Infer the kinetic state of the slice at time in the seven named stages.

`KineticStateStages`

class source

KineticStateStages(time: float, rho: np.ndarray | None, stages: tuple[InferenceStage, ...], product: ODS | None, assumptions: Mapping[str, Any]) -> None

The ordered stages of one kinetic state, and the product the last one leaves behind.

5 fields · 5 members

time: float
rho: np.ndarray | None
stages: tuple[InferenceStage, ...]
product: ODS | None
assumptions: Mapping[str, Any]
names property source
complete property source
stage method source
upto method — Everything known after stage name: its fields and those of the ok stages before it. source
records method source

`STAGE_NAMES`

data

STAGE_NAMES = ('data', 'thomson_fits', 'romero_zeff', 'impurity_amplitude', 'ion_density', 'zeff_profile', 'pressure_closure')

vaft.omas.magnetic_decomposition

Magnetic response split into PF, wall and plasma parts, with an explicit plasma drive (#1795).

`decompose_magnetic_response`

function source

decompose_magnetic_response(ods: Any, time: float, *, plasma_sources: Sequence[Sequence[float]] = (), plasma_currents: np.ndarray | Sequence[Sequence[float]] | None = None, wall_currents: np.ndarray | None = None, channels: Sequence[tuple[str, int]] | None = None, min_validity: int | None = None, dt_sub: float | None = None) -> MagneticDecomposition

Measured magnetics at time and their PF, wall and plasma parts.

`MagneticDecomposition`

class source

MagneticDecomposition(time: float, channels: tuple[Mapping[str, Any], ...], units: tuple[str, ...], measured: np.ndarray, pf: np.ndarray, wall: np.ndarray, plasma: np.ndarray, wall_pf: np.ndarray | None, wall_plasma: np.ndarray | None, coil_currents: np.ndarray, wall_currents: np.ndarray, plasma_sources: np.ndarray, plasma_currents: np.ndarray, response_coil: np.ndarray, response_wall: np.ndarray, response_plasma: np.ndarray, provenance: Mapping[str, str] = <factory>) -> None

The magnetic signals at one time, split by source, on one channel ordering.

17 fields · 4 members

time: float
channels: tuple[Mapping[str, Any], ...]
units: tuple[str, ...]
measured: np.ndarray
pf: np.ndarray
wall: np.ndarray
plasma: np.ndarray
wall_pf: np.ndarray | None
wall_plasma: np.ndarray | None
coil_currents: np.ndarray
wall_currents: np.ndarray
plasma_sources: np.ndarray
plasma_currents: np.ndarray
response_coil: np.ndarray
response_wall: np.ndarray
response_plasma: np.ndarray
provenance: Mapping[str, str]
total property — PF + wall + plasma: the combined forward response. source
residual property — Measured minus the combined forward response. source
is_flux_loop property source
plasma_current method — Total plasma source current at time [A], whatever the representation. source

`reduced_wall_response`

function source

reduced_wall_response(decomposition: MagneticDecomposition, basis: Any, keep: Sequence[np.ndarray] | None = None) -> np.ndarray

The decomposition’s wall columns in a wall eigenbasis: G_wall @ V.

`VALIDITY_HALF_WIDTH_S`

data

VALIDITY_HALF_WIDTH_S = 0.0005

`wall_currents_for_drive`

function source

wall_currents_for_drive(ods: Any, plasma_sources: Sequence[Sequence[float]] = (), plasma_currents: np.ndarray | Sequence[Sequence[float]] | None = None, *, dt_sub: float | None = None) -> tuple[np.ndarray, np.ndarray]

Passive-loop currents for the ODS coil programme plus an explicit plasma drive.

vaft.omas.neoclassical

Evaluate the analytic neoclassical models on an ODS.

`BootstrapCurrentResult`

class source

BootstrapCurrentResult(model: str, rho_tor_norm: np.ndarray, j_bootstrap: np.ndarray, parallel_current: np.ndarray, trapped_fraction: np.ndarray, nu_e_star: np.ndarray, nu_i_star: np.ndarray, z_eff: np.ndarray, b0: float, time: float, coefficients: Mapping[str, np.ndarray] = <factory>, provenance: Mapping[str, Any] = <factory>) -> None

One analytic bootstrap-current profile, with the inputs that produced it.

12 fields · 1 members

model: str
rho_tor_norm: np.ndarray
j_bootstrap: np.ndarray
parallel_current: np.ndarray
trapped_fraction: np.ndarray
nu_e_star: np.ndarray
nu_i_star: np.ndarray
z_eff: np.ndarray
b0: float
time: float
coefficients: Mapping[str, np.ndarray]
provenance: Mapping[str, Any]
integrated_current method — I_bs [A] by integrating over the poloidal cross-section. source

`compute_bootstrap_current`

function source

compute_bootstrap_current(ods: Any, *, model: str = 'sauter', time_slice: Optional[int] = None, z_eff: Optional[float] = None, impurity: Optional[str] = None, ion_index: int = 0, rho_range: Optional[Sequence[float]] = None, b0: Optional[float] = None) -> BootstrapCurrentResult

Evaluate an analytic bootstrap-current profile from an ODS.

`compute_conductivity`

function source

compute_conductivity(ods: Any, *, model: str = 'sauter', time_slice: Optional[int] = None, z_eff: Optional[float] = None, impurity: Optional[str] = None, ion_index: int = 0, rho_range: Optional[Sequence[float]] = None) -> ConductivityResult

Evaluate an analytic neoclassical parallel conductivity from an ODS.

`ConductivityResult`

class source

ConductivityResult(model: str, rho_tor_norm: np.ndarray, conductivity_parallel: np.ndarray, spitzer: np.ndarray, trapped_fraction: np.ndarray, nu_e_star: np.ndarray, z_eff: np.ndarray, time: float, provenance: Mapping[str, Any] = <factory>) -> None

One analytic parallel-conductivity profile, with the inputs that produced it.

9 fields

model: str
rho_tor_norm: np.ndarray
conductivity_parallel: np.ndarray
spitzer: np.ndarray
trapped_fraction: np.ndarray
nu_e_star: np.ndarray
z_eff: np.ndarray
time: float
provenance: Mapping[str, Any]

`MODELS`

data

MODELS = ('sauter', 'redl')

vaft.omas.pf_plasma

The plasma current as a set of PF-like elements: the pf_plasma IDS.

`GEOMETRY_TYPE_RECTANGLE`

data

GEOMETRY_TYPE_RECTANGLE = 2

`plasma_current_total`

function source

plasma_current_total(ods: Any) -> tuple[np.ndarray, np.ndarray]

(time, sum of element currents) – the plasma current the elements carry.

`plasma_elements`

function source

plasma_elements(ods: Any, time: float | None = None) -> dict[str, Any]

The elements’ centres, sizes, areas and currents at one instant.

`set_plasma_elements`

function source

set_plasma_elements(ods: Any, r: np.ndarray, z: np.ndarray, *, width: float | np.ndarray, height: float | np.ndarray, currents: np.ndarray, time: np.ndarray, code_name: str | None = None, code_parameters: str | None = None, comment: str | None = None) -> None

Write pf_plasma as rectangular elements carrying currents.

vaft.omas.plasma_features

Representative peaks of the plasma phase, from an ODS, with their provenance (issue #409).

`ABSENT`

data

ABSENT = 'absent'

`DIAMAGNETIC_BASE`

data

DIAMAGNETIC_BASE = 'magnetics.diamagnetic_flux.0'

`Feature`

class source

Feature(name: str, base: str | None, label: str | None, peak: PeakRecord | None, flags: tuple[str, ...], notes: Mapping[str, Any], reason: str | None) -> None

One signal’s representative peak inside the plasma window, and why.

7 fields · 5 members

name: str
base: str | None
label: str | None
peak: PeakRecord | None
flags: tuple[str, ...]
notes: Mapping[str, Any]
reason: str | None
value property source
time property source
found property source
summary method source
record method source

`FEATURE_DIAMAGNETIC`

data

FEATURE_DIAMAGNETIC = 'diamagnetic'

`FEATURE_H_ALPHA`

data

FEATURE_H_ALPHA = 'h_alpha'

`FEATURE_IP`

data

FEATURE_IP = 'ip'

`ip_peak`

function source

ip_peak(ods: Any, *, timing: PlasmaTiming | None = None, policy: PlasmaFeaturesPolicy | None = None) -> Feature

The plasma-current feature alone, for a caller that needs one number.

`line_by_label`

function source

line_by_label(ods: Any, label: str) -> tuple[str, int, int] | None

(base, channel, line) of the first processed_line whose stored label is label.

`NOT_COMPUTED`

data

NOT_COMPUTED = 'not_computed'

`plasma_features`

function source

plasma_features(ods: Any, *, timing: PlasmaTiming | None = None, policy: PlasmaFeaturesPolicy | None = None, timing_policy: PlasmaTimingPolicy | None = None) -> PlasmaFeatures

Every configured representative peak inside the plasma window.

`PlasmaFeatures`

class source

PlasmaFeatures(timing: PlasmaTiming, computed: bool, reason: str | None, ip: Feature, h_alpha: Feature, lines: Mapping[str, Feature], diamagnetic: Feature, span: AnalysisSpan, flags: tuple[str, ...]) -> None

The representative peaks of one shot, on the timing that bounds them.

9 fields · 4 members

timing: PlasmaTiming
computed: bool
reason: str | None
ip: Feature
h_alpha: Feature
lines: Mapping[str, Feature]
diamagnetic: Feature
span: AnalysisSpan
flags: tuple[str, ...]
window property source
features method source
summary method — What a metrics record or a manifest carries: every peak and its provenance. source
record method — Everything, including every detector record and the full timing. source

`SPECTROMETER_CHANNELS`

data

SPECTROMETER_CHANNELS = 'spectrometer_uv.channel'

vaft.omas.plasma_timing

The plasma window of a discharge, from an ODS, with its provenance (issue #409).

`AGREEMENT_HALPHA_ONLY`

data

AGREEMENT_HALPHA_ONLY = 'halpha_only'

`AGREEMENT_IP_ONLY`

data

AGREEMENT_IP_ONLY = 'ip_only'

`AGREEMENT_NONE`

data

AGREEMENT_NONE = 'none'

`analysis_span`

function source

analysis_span(policy: PlasmaTimingPolicy | DischargeTimingPolicy | None = None) -> AnalysisSpan

The AnalysisSpan the configured policy prescribes.

`AnalysisSpan`

class source

AnalysisSpan(tstart: float, tend: float, baseline_start: float, window: str, clock_offset_s: float = 0.0) -> None

Where the plasma is searched for and where its baseline is measured.

5 fields · 3 members

tstart: float
tend: float
baseline_start: float
window: str
clock_offset_s: float
baseline_lead_s property source
shifted method — The same span on a clock displaced by delta seconds. source
record method source

`channel_notes`

function source

channel_notes(ods: Any, cadence_hz: float, grid_dt: float) -> dict[str, Any]

What the mapper did to a line digitised at cadence_hz and stored on a grid_dt grid.

`clock_offset`

function source

clock_offset(ods: Any) -> float

How far the product’s time axes sit from the DAQ clock, in seconds.

`HALPHA_LABEL`

data

HALPHA_LABEL = 'H-alpha_6563'

`halpha_sources`

function source

halpha_sources(*, label: str = 'H-alpha_6563') -> tuple[HalphaSource, ...]

The configured lines carrying label, slowest digitizer first.

`halpha_usability`

function source

halpha_usability(ods: Any, source: HalphaSource, *, span: AnalysisSpan | None = None, policy: PlasmaTimingPolicy | None = None) -> HalphaUsability

Apply the configured usability checks to one H-alpha line.

`halpha_window`

function source

halpha_window(ods: Any, source: HalphaSource, *, span: AnalysisSpan | None = None, policy: PlasmaTimingPolicy | None = None) -> PulseWindow

The envelope of H-alpha activity inside the span, with the h_alpha rule.

`HalphaSource`

class source

HalphaSource(channel: int, line: int, label: str, cadence_hz: float, role: str) -> None

One configured H-alpha line: where it is stored and what role it plays.

5 fields · 3 members

channel: int
line: int
label: str
cadence_hz: float
role: str
line_base property source
base property source
record method source

`HalphaUsability`

class source

HalphaUsability(source: HalphaSource, usable: bool, checks: Mapping[str, bool] = <factory>, metrics: Mapping[str, float] = <factory>, notes: Mapping[str, Any] = <factory>, reason: str | None = None) -> None

Whether one H-alpha line may answer for the plasma, check by check.

6 fields · 1 members

source: HalphaSource
usable: bool
checks: Mapping[str, bool]
metrics: Mapping[str, float]
notes: Mapping[str, Any]
reason: str | None
record method source

`IP_BASE`

data

IP_BASE = 'magnetics.ip.0'

`IP_CHECKS`

data

IP_CHECKS = ('present', 'finite', 'validity')

`ip_window`

function source

ip_window(ods: Any, *, span: AnalysisSpan | None = None, policy: PlasmaTimingPolicy | None = None) -> PulseWindow

The principal plasma-current pulse inside the span, with the ip rule.

`plasma_timing`

function source

plasma_timing(ods: Any, *, policy: PlasmaTimingPolicy | None = None) -> PlasmaTiming

Find the plasma window with the configured source hierarchy.

`PlasmaTiming`

class source

PlasmaTiming(onset: float | None, offset: float | None, source: str | None, optical: PulseWindow | None, optical_source: HalphaSource | None, ip: PulseWindow | None, agreement: str, onset_delta_s: float | None, offset_delta_s: float | None, candidates: tuple[HalphaUsability, ...], ip_checks: Mapping[str, bool], fallback_reason: str | None, flags: tuple[str, ...], span: AnalysisSpan) -> None

The plasma window and how it was found.

14 fields · 8 members

onset: float | None
offset: float | None
source: str | None
optical: PulseWindow | None
optical_source: HalphaSource | None
ip: PulseWindow | None
agreement: str
onset_delta_s: float | None
offset_delta_s: float | None
candidates: tuple[HalphaUsability, ...]
ip_checks: Mapping[str, bool]
fallback_reason: str | None
flags: tuple[str, ...]
span: AnalysisSpan
onset_source property source
offset_source property source
found property source
window property source
chosen property — The detector window source names, or None when none was used. source
duty_cycle property — How much of the window the chosen detector was actually above threshold. source
summary method — What a metrics record or a manifest carries: the verdict and its provenance. source
record method — Everything, including both detector windows and every candidate’s usability. source

`PlasmaTimingError`

class source

Raised when the ODS lacks what any plasma timing needs.

`SOURCE_H_FAST`

data

SOURCE_H_FAST = 'h_alpha_fast'

`SOURCE_H_PRIMARY`

data

SOURCE_H_PRIMARY = 'h_alpha_primary'

`SOURCE_H_SECONDARY`

data

SOURCE_H_SECONDARY = 'h_alpha_secondary'

`SOURCE_IP`

data

SOURCE_IP = 'ip_principal'

`TIME_CONVENTION_PATH`

data

TIME_CONVENTION_PATH = 'summary.code.parameters.time_convention'

`USABILITY_CHECKS`

data

USABILITY_CHECKS = ('present', 'label', 'finite', 'not_railed', 'baseline_live', 'validity')

`WAVELENGTH_TOLERANCE_M`

data

WAVELENGTH_TOLERANCE_M = 1e-09

vaft.omas.plotting

Plot adapters for OMAS ODS, ODC and lists of them.

`available_plots`

function source

available_plots(source: Any = None, *, query: str | None = None, detail: bool = False, available_only: bool | None = None, **filters: Any)

What can be plotted, as a semantic catalog (issue #262).

`compose`

function source

compose(composition: Any, source: Any, *, backend: str | None = None, show: bool = False, label: str | Sequence[str] = 'shot', **presentation: Any) -> Any

Draw several canonical plots of source as one figure (issue #1467).

`dd_b_field_probe_spatial_field`

function source

dd_b_field_probe_spatial_field() -> tuple

The Data Dictionary paths vaft.omas.plot_b_field_probe_spatial_field reads, without any data.

`dd_b_field_probe_time_field`

function source

dd_b_field_probe_time_field() -> tuple

The Data Dictionary paths vaft.omas.plot_b_field_probe_time_field reads, without any data.

`dd_barometry_time_pressure`

function source

dd_barometry_time_pressure() -> tuple

The Data Dictionary paths vaft.omas.plot_barometry_time_pressure reads, without any data.

`dd_camera_visible_animation_frames`

function source

dd_camera_visible_animation_frames() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_animation_frames reads, without any data.

`dd_camera_visible_image`

function source

dd_camera_visible_image() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image reads, without any data.

`dd_camera_visible_image_efit_overlay`

function source

dd_camera_visible_image_efit_overlay() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image_efit_overlay reads, without any data.

`dd_camera_visible_image_field_line`

function source

dd_camera_visible_image_field_line() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image_field_line reads, without any data.

`dd_camera_visible_image_fluctuation`

function source

dd_camera_visible_image_fluctuation() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image_fluctuation reads, without any data.

`dd_camera_visible_image_frame`

function source

dd_camera_visible_image_frame() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image_frame reads, without any data.

`dd_camera_visible_image_mhd_power`

function source

dd_camera_visible_image_mhd_power() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image_mhd_power reads, without any data.

`dd_camera_visible_image_vacuum_field_line`

function source

dd_camera_visible_image_vacuum_field_line() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_image_vacuum_field_line reads, without any data.

`dd_camera_visible_spectrogram`

function source

dd_camera_visible_spectrogram() -> tuple

The Data Dictionary paths vaft.omas.plot_camera_visible_spectrogram reads, without any data.

`dd_charge_exchange_geometry_poloidal`

function source

dd_charge_exchange_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_charge_exchange_geometry_poloidal reads, without any data.

`dd_charge_exchange_profile_fit`

function source

dd_charge_exchange_profile_fit() -> tuple

The Data Dictionary paths vaft.omas.plot_charge_exchange_profile_fit reads, without any data.

`dd_charge_exchange_profile_ion_temperature`

function source

dd_charge_exchange_profile_ion_temperature() -> tuple

The Data Dictionary paths vaft.omas.plot_charge_exchange_profile_ion_temperature reads, without any data.

`dd_charge_exchange_profile_velocity_tor`

function source

dd_charge_exchange_profile_velocity_tor() -> tuple

The Data Dictionary paths vaft.omas.plot_charge_exchange_profile_velocity_tor reads, without any data.

`dd_charge_exchange_time_ion_temperature`

function source

dd_charge_exchange_time_ion_temperature() -> tuple

The Data Dictionary paths vaft.omas.plot_charge_exchange_time_ion_temperature reads, without any data.

`dd_charge_exchange_time_velocity_tor`

function source

dd_charge_exchange_time_velocity_tor() -> tuple

The Data Dictionary paths vaft.omas.plot_charge_exchange_time_velocity_tor reads, without any data.

`dd_chease_overview_profile_validity`

function source

dd_chease_overview_profile_validity() -> tuple

The Data Dictionary paths vaft.omas.plot_chease_overview_profile_validity reads, without any data.

`dd_chease_overview_refinement_summary`

function source

dd_chease_overview_refinement_summary() -> tuple

The Data Dictionary paths vaft.omas.plot_chease_overview_refinement_summary reads, without any data.

`dd_coil_3d_geometry3d`

function source

dd_coil_3d_geometry3d() -> tuple

The Data Dictionary paths vaft.omas.plot_coil_3d_geometry3d reads, without any data.

`dd_coil_3d_geometry_topview`

function source

dd_coil_3d_geometry_topview() -> tuple

The Data Dictionary paths vaft.omas.plot_coil_3d_geometry_topview reads, without any data.

`dd_coil_3d_profile_current`

function source

dd_coil_3d_profile_current() -> tuple

The Data Dictionary paths vaft.omas.plot_coil_3d_profile_current reads, without any data.

`dd_coil_3d_spectrum_current`

function source

dd_coil_3d_spectrum_current() -> tuple

The Data Dictionary paths vaft.omas.plot_coil_3d_spectrum_current reads, without any data.

`dd_core_profiles_profile_zeff`

function source

dd_core_profiles_profile_zeff() -> tuple

The Data Dictionary paths vaft.omas.plot_core_profiles_profile_zeff reads, without any data.

`dd_core_profiles_time_volume_averaged`

function source

dd_core_profiles_time_volume_averaged() -> tuple

The Data Dictionary paths vaft.omas.plot_core_profiles_time_volume_averaged reads, without any data.

`dd_current_overview`

function source

dd_current_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_current_overview reads, without any data.

`dd_current_overview_reconstruction`

function source

dd_current_overview_reconstruction() -> tuple

The Data Dictionary paths vaft.omas.plot_current_overview_reconstruction reads, without any data.

`dd_diagnostics_overview`

function source

dd_diagnostics_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_diagnostics_overview reads, without any data.

`dd_diagnostics_spectrum_coherence`

function source

dd_diagnostics_spectrum_coherence() -> tuple

The Data Dictionary paths vaft.omas.plot_diagnostics_spectrum_coherence reads, without any data.

`dd_diamagnetic_flux_time`

function source

dd_diamagnetic_flux_time() -> tuple

The Data Dictionary paths vaft.omas.plot_diamagnetic_flux_time reads, without any data.

`dd_ec_launchers_time_power`

function source

dd_ec_launchers_time_power() -> tuple

The Data Dictionary paths vaft.omas.plot_ec_launchers_time_power reads, without any data.

`dd_electron_density_field`

function source

dd_electron_density_field() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_density_field reads, without any data.

`dd_electron_density_profile`

function source

dd_electron_density_profile() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_density_profile reads, without any data.

`dd_electron_density_profile_gradient`

function source

dd_electron_density_profile_gradient() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_density_profile_gradient reads, without any data.

`dd_electron_density_time`

function source

dd_electron_density_time() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_density_time reads, without any data.

`dd_electron_temperature_field`

function source

dd_electron_temperature_field() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_temperature_field reads, without any data.

`dd_electron_temperature_profile`

function source

dd_electron_temperature_profile() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_temperature_profile reads, without any data.

`dd_electron_temperature_profile_gradient`

function source

dd_electron_temperature_profile_gradient() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_temperature_profile_gradient reads, without any data.

`dd_electron_temperature_time`

function source

dd_electron_temperature_time() -> tuple

The Data Dictionary paths vaft.omas.plot_electron_temperature_time reads, without any data.

`dd_equilibrium_field_2d`

function source

dd_equilibrium_field_2d() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_field_2d reads, without any data.

`dd_equilibrium_field_psi`

function source

dd_equilibrium_field_psi() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_field_psi reads, without any data.

`dd_equilibrium_field_psi_vacuum`

function source

dd_equilibrium_field_psi_vacuum() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_field_psi_vacuum reads, without any data.

`dd_equilibrium_geometry_boundary`

function source

dd_equilibrium_geometry_boundary() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_geometry_boundary reads, without any data.

`dd_equilibrium_geometry_topview`

function source

dd_equilibrium_geometry_topview() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_geometry_topview reads, without any data.

`dd_equilibrium_overview`

function source

dd_equilibrium_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview reads, without any data.

`dd_equilibrium_overview_constraint_coverage`

function source

dd_equilibrium_overview_constraint_coverage() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_constraint_coverage reads, without any data.

`dd_equilibrium_overview_constraint_weights`

function source

dd_equilibrium_overview_constraint_weights() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_constraint_weights reads, without any data.

`dd_equilibrium_overview_constraints`

function source

dd_equilibrium_overview_constraints() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_constraints reads, without any data.

`dd_equilibrium_overview_convergence`

function source

dd_equilibrium_overview_convergence() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_convergence reads, without any data.

`dd_equilibrium_overview_fit_quality`

function source

dd_equilibrium_overview_fit_quality() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_fit_quality reads, without any data.

`dd_equilibrium_overview_histories`

function source

dd_equilibrium_overview_histories() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_histories reads, without any data.

`dd_equilibrium_overview_pressure_weight_scan`

function source

dd_equilibrium_overview_pressure_weight_scan() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_pressure_weight_scan reads, without any data.

`dd_equilibrium_overview_profiles`

function source

dd_equilibrium_overview_profiles() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_profiles reads, without any data.

`dd_equilibrium_overview_residuals`

function source

dd_equilibrium_overview_residuals() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_residuals reads, without any data.

`dd_equilibrium_overview_verification`

function source

dd_equilibrium_overview_verification() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_overview_verification reads, without any data.

`dd_equilibrium_profile_f`

function source

dd_equilibrium_profile_f() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_profile_f reads, without any data.

`dd_equilibrium_profile_ffprime`

function source

dd_equilibrium_profile_ffprime() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_profile_ffprime reads, without any data.

`dd_equilibrium_profile_j_tor`

function source

dd_equilibrium_profile_j_tor() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_profile_j_tor reads, without any data.

`dd_equilibrium_profile_pprime`

function source

dd_equilibrium_profile_pprime() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_profile_pprime reads, without any data.

`dd_equilibrium_profile_pressure`

function source

dd_equilibrium_profile_pressure() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_profile_pressure reads, without any data.

`dd_equilibrium_profile_q`

function source

dd_equilibrium_profile_q() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_profile_q reads, without any data.

`dd_equilibrium_table_fit_quality`

function source

dd_equilibrium_table_fit_quality() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_table_fit_quality reads, without any data.

`dd_equilibrium_table_summary`

function source

dd_equilibrium_table_summary() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_table_summary reads, without any data.

`dd_equilibrium_table_validation`

function source

dd_equilibrium_table_validation() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_table_validation reads, without any data.

`dd_equilibrium_text_summary`

function source

dd_equilibrium_text_summary() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_text_summary reads, without any data.

`dd_equilibrium_time_beta`

function source

dd_equilibrium_time_beta() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_beta reads, without any data.

`dd_equilibrium_time_beta_n`

function source

dd_equilibrium_time_beta_n() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_beta_n reads, without any data.

`dd_equilibrium_time_beta_p`

function source

dd_equilibrium_time_beta_p() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_beta_p reads, without any data.

`dd_equilibrium_time_beta_t`

function source

dd_equilibrium_time_beta_t() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_beta_t reads, without any data.

`dd_equilibrium_time_diamagnetic_flux`

function source

dd_equilibrium_time_diamagnetic_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_diamagnetic_flux reads, without any data.

`dd_equilibrium_time_elongation`

function source

dd_equilibrium_time_elongation() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_elongation reads, without any data.

`dd_equilibrium_time_li`

function source

dd_equilibrium_time_li() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_li reads, without any data.

`dd_equilibrium_time_major_radius`

function source

dd_equilibrium_time_major_radius() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_major_radius reads, without any data.

`dd_equilibrium_time_minor_radius`

function source

dd_equilibrium_time_minor_radius() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_minor_radius reads, without any data.

`dd_equilibrium_time_plasma_current`

function source

dd_equilibrium_time_plasma_current() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_plasma_current reads, without any data.

`dd_equilibrium_time_q0`

function source

dd_equilibrium_time_q0() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_q0 reads, without any data.

`dd_equilibrium_time_q95`

function source

dd_equilibrium_time_q95() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_q95 reads, without any data.

`dd_equilibrium_time_qa`

function source

dd_equilibrium_time_qa() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_qa reads, without any data.

`dd_equilibrium_time_shape`

function source

dd_equilibrium_time_shape() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_shape reads, without any data.

`dd_equilibrium_time_triangularity`

function source

dd_equilibrium_time_triangularity() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_triangularity reads, without any data.

`dd_equilibrium_time_triangularity_lower`

function source

dd_equilibrium_time_triangularity_lower() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_triangularity_lower reads, without any data.

`dd_equilibrium_time_triangularity_upper`

function source

dd_equilibrium_time_triangularity_upper() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_triangularity_upper reads, without any data.

`dd_equilibrium_time_virial`

function source

dd_equilibrium_time_virial() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_virial reads, without any data.

`dd_equilibrium_time_w_mag`

function source

dd_equilibrium_time_w_mag() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_w_mag reads, without any data.

`dd_equilibrium_time_w_mhd`

function source

dd_equilibrium_time_w_mhd() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_w_mhd reads, without any data.

`dd_equilibrium_time_w_tot`

function source

dd_equilibrium_time_w_tot() -> tuple

The Data Dictionary paths vaft.omas.plot_equilibrium_time_w_tot reads, without any data.

`dd_field_line_topology_field_connection_length`

function source

dd_field_line_topology_field_connection_length() -> tuple

The Data Dictionary paths vaft.omas.plot_field_line_topology_field_connection_length reads, without any data.

`dd_flux_loop_spatial_flux`

function source

dd_flux_loop_spatial_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_flux_loop_spatial_flux reads, without any data.

`dd_flux_loop_time_flux`

function source

dd_flux_loop_time_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_flux_loop_time_flux reads, without any data.

`dd_flux_loop_time_voltage`

function source

dd_flux_loop_time_voltage() -> tuple

The Data Dictionary paths vaft.omas.plot_flux_loop_time_voltage reads, without any data.

`dd_gyrokinetics_overview`

function source

dd_gyrokinetics_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_gyrokinetics_overview reads, without any data.

`dd_gyrokinetics_profile_eigenfunction`

function source

dd_gyrokinetics_profile_eigenfunction() -> tuple

The Data Dictionary paths vaft.omas.plot_gyrokinetics_profile_eigenfunction reads, without any data.

`dd_gyrokinetics_spectrum_energy_flux`

function source

dd_gyrokinetics_spectrum_energy_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_gyrokinetics_spectrum_energy_flux reads, without any data.

`dd_gyrokinetics_spectrum_frequency`

function source

dd_gyrokinetics_spectrum_frequency() -> tuple

The Data Dictionary paths vaft.omas.plot_gyrokinetics_spectrum_frequency reads, without any data.

`dd_gyrokinetics_spectrum_growth_rate`

function source

dd_gyrokinetics_spectrum_growth_rate() -> tuple

The Data Dictionary paths vaft.omas.plot_gyrokinetics_spectrum_growth_rate reads, without any data.

`dd_gyrokinetics_spectrum_particle_flux`

function source

dd_gyrokinetics_spectrum_particle_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_gyrokinetics_spectrum_particle_flux reads, without any data.

`dd_impa_overview`

function source

dd_impa_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_impa_overview reads, without any data.

`dd_impa_profile_field`

function source

dd_impa_profile_field() -> tuple

The Data Dictionary paths vaft.omas.plot_impa_profile_field reads, without any data.

`dd_impa_time_field`

function source

dd_impa_time_field() -> tuple

The Data Dictionary paths vaft.omas.plot_impa_time_field reads, without any data.

`dd_impa_time_voltage`

function source

dd_impa_time_voltage() -> tuple

The Data Dictionary paths vaft.omas.plot_impa_time_voltage reads, without any data.

`dd_impurity_profile_charge_state_fraction`

function source

dd_impurity_profile_charge_state_fraction() -> tuple

The Data Dictionary paths vaft.omas.plot_impurity_profile_charge_state_fraction reads, without any data.

`dd_impurity_profile_composition`

function source

dd_impurity_profile_composition() -> tuple

The Data Dictionary paths vaft.omas.plot_impurity_profile_composition reads, without any data.

`dd_interferometer_overview`

function source

dd_interferometer_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_interferometer_overview reads, without any data.

`dd_interferometer_spectrogram`

function source

dd_interferometer_spectrogram() -> tuple

The Data Dictionary paths vaft.omas.plot_interferometer_spectrogram reads, without any data.

`dd_interferometer_spectrum`

function source

dd_interferometer_spectrum() -> tuple

The Data Dictionary paths vaft.omas.plot_interferometer_spectrum reads, without any data.

`dd_interferometer_time_n_e_line`

function source

dd_interferometer_time_n_e_line() -> tuple

The Data Dictionary paths vaft.omas.plot_interferometer_time_n_e_line reads, without any data.

`dd_ion_temperature_profile`

function source

dd_ion_temperature_profile() -> tuple

The Data Dictionary paths vaft.omas.plot_ion_temperature_profile reads, without any data.

`dd_ion_temperature_profile_gradient`

function source

dd_ion_temperature_profile_gradient() -> tuple

The Data Dictionary paths vaft.omas.plot_ion_temperature_profile_gradient reads, without any data.

`dd_kinetic_overview_profiles`

function source

dd_kinetic_overview_profiles() -> tuple

The Data Dictionary paths vaft.omas.plot_kinetic_overview_profiles reads, without any data.

`dd_kinetic_overview_state`

function source

dd_kinetic_overview_state() -> tuple

The Data Dictionary paths vaft.omas.plot_kinetic_overview_state reads, without any data.

`dd_limiter_current_time`

function source

dd_limiter_current_time() -> tuple

The Data Dictionary paths vaft.omas.plot_limiter_current_time reads, without any data.

`dd_machine_geometry3d`

function source

dd_machine_geometry3d() -> tuple

The Data Dictionary paths vaft.omas.plot_machine_geometry3d reads, without any data.

`dd_machine_geometry_poloidal`

function source

dd_machine_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_machine_geometry_poloidal reads, without any data.

`dd_machine_geometry_topview`

function source

dd_machine_geometry_topview() -> tuple

The Data Dictionary paths vaft.omas.plot_machine_geometry_topview reads, without any data.

`dd_magnetics_geometry_poloidal`

function source

dd_magnetics_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_geometry_poloidal reads, without any data.

`dd_magnetics_overview`

function source

dd_magnetics_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_overview reads, without any data.

`dd_magnetics_overview_plasma_residual`

function source

dd_magnetics_overview_plasma_residual() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_overview_plasma_residual reads, without any data.

`dd_magnetics_overview_vacuum`

function source

dd_magnetics_overview_vacuum() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_overview_vacuum reads, without any data.

`dd_magnetics_overview_vacuum_benchmark`

function source

dd_magnetics_overview_vacuum_benchmark() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_overview_vacuum_benchmark reads, without any data.

`dd_magnetics_table_vacuum_benchmark`

function source

dd_magnetics_table_vacuum_benchmark() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_table_vacuum_benchmark reads, without any data.

`dd_magnetics_table_vacuum_benchmark_aggregate`

function source

dd_magnetics_table_vacuum_benchmark_aggregate() -> tuple

The Data Dictionary paths vaft.omas.plot_magnetics_table_vacuum_benchmark_aggregate reads, without any data.

`dd_mhd_linear_field_spectrum`

function source

dd_mhd_linear_field_spectrum() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_field_spectrum reads, without any data.

`dd_mhd_linear_geometry_island`

function source

dd_mhd_linear_geometry_island() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_geometry_island reads, without any data.

`dd_mhd_linear_overview_eigenfunction`

function source

dd_mhd_linear_overview_eigenfunction() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_overview_eigenfunction reads, without any data.

`dd_mhd_linear_profile_b_field_perturbed`

function source

dd_mhd_linear_profile_b_field_perturbed() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_profile_b_field_perturbed reads, without any data.

`dd_mhd_linear_profile_chirikov`

function source

dd_mhd_linear_profile_chirikov() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_profile_chirikov reads, without any data.

`dd_mhd_linear_profile_displacement`

function source

dd_mhd_linear_profile_displacement() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_profile_displacement reads, without any data.

`dd_mhd_linear_profile_island_width`

function source

dd_mhd_linear_profile_island_width() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_profile_island_width reads, without any data.

`dd_mhd_linear_profile_resonant_flux`

function source

dd_mhd_linear_profile_resonant_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_profile_resonant_flux reads, without any data.

`dd_mhd_linear_spectrum_b_field_perturbed`

function source

dd_mhd_linear_spectrum_b_field_perturbed() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_spectrum_b_field_perturbed reads, without any data.

`dd_mhd_linear_time_energy_perturbed`

function source

dd_mhd_linear_time_energy_perturbed() -> tuple

The Data Dictionary paths vaft.omas.plot_mhd_linear_time_energy_perturbed reads, without any data.

`dd_mirnov_spatial_phase`

function source

dd_mirnov_spatial_phase() -> tuple

The Data Dictionary paths vaft.omas.plot_mirnov_spatial_phase reads, without any data.

`dd_mirnov_spectrogram`

function source

dd_mirnov_spectrogram() -> tuple

The Data Dictionary paths vaft.omas.plot_mirnov_spectrogram reads, without any data.

`dd_mirnov_spectrum`

function source

dd_mirnov_spectrum() -> tuple

The Data Dictionary paths vaft.omas.plot_mirnov_spectrum reads, without any data.

`dd_mirnov_time_voltage`

function source

dd_mirnov_time_voltage() -> tuple

The Data Dictionary paths vaft.omas.plot_mirnov_time_voltage reads, without any data.

`dd_nbi_profile_current_drive`

function source

dd_nbi_profile_current_drive() -> tuple

The Data Dictionary paths vaft.omas.plot_nbi_profile_current_drive reads, without any data.

`dd_nbi_profile_electron_heating`

function source

dd_nbi_profile_electron_heating() -> tuple

The Data Dictionary paths vaft.omas.plot_nbi_profile_electron_heating reads, without any data.

`dd_nbi_profile_ion_heating`

function source

dd_nbi_profile_ion_heating() -> tuple

The Data Dictionary paths vaft.omas.plot_nbi_profile_ion_heating reads, without any data.

`dd_neoclassical_profile_bootstrap_current`

function source

dd_neoclassical_profile_bootstrap_current() -> tuple

The Data Dictionary paths vaft.omas.plot_neoclassical_profile_bootstrap_current reads, without any data.

`dd_ntms_time_delta_prime`

function source

dd_ntms_time_delta_prime() -> tuple

The Data Dictionary paths vaft.omas.plot_ntms_time_delta_prime reads, without any data.

`dd_passive_structure_field_wall_reduction`

function source

dd_passive_structure_field_wall_reduction() -> tuple

The Data Dictionary paths vaft.omas.plot_passive_structure_field_wall_reduction reads, without any data.

`dd_passive_structure_geometry_poloidal`

function source

dd_passive_structure_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_passive_structure_geometry_poloidal reads, without any data.

`dd_passive_structure_geometry_wall_mode`

function source

dd_passive_structure_geometry_wall_mode() -> tuple

The Data Dictionary paths vaft.omas.plot_passive_structure_geometry_wall_mode reads, without any data.

`dd_passive_structure_overview_wall_reduction`

function source

dd_passive_structure_overview_wall_reduction() -> tuple

The Data Dictionary paths vaft.omas.plot_passive_structure_overview_wall_reduction reads, without any data.

`dd_passive_structure_overview_wall_time`

function source

dd_passive_structure_overview_wall_time() -> tuple

The Data Dictionary paths vaft.omas.plot_passive_structure_overview_wall_time reads, without any data.

`dd_passive_structure_time_current`

function source

dd_passive_structure_time_current() -> tuple

The Data Dictionary paths vaft.omas.plot_passive_structure_time_current reads, without any data.

`dd_pf_coil_geometry_poloidal`

function source

dd_pf_coil_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_pf_coil_geometry_poloidal reads, without any data.

`dd_pf_coil_time_current`

function source

dd_pf_coil_time_current() -> tuple

The Data Dictionary paths vaft.omas.plot_pf_coil_time_current reads, without any data.

`dd_pf_coil_time_current_turns`

function source

dd_pf_coil_time_current_turns() -> tuple

The Data Dictionary paths vaft.omas.plot_pf_coil_time_current_turns reads, without any data.

`dd_pf_plasma_geometry_poloidal`

function source

dd_pf_plasma_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_pf_plasma_geometry_poloidal reads, without any data.

`dd_plasma_current_time`

function source

dd_plasma_current_time() -> tuple

The Data Dictionary paths vaft.omas.plot_plasma_current_time reads, without any data.

`dd_rogowski_coil_time_current`

function source

dd_rogowski_coil_time_current() -> tuple

The Data Dictionary paths vaft.omas.plot_rogowski_coil_time_current reads, without any data.

`dd_soft_x_rays_geometry_lines_of_sight`

function source

dd_soft_x_rays_geometry_lines_of_sight() -> tuple

The Data Dictionary paths vaft.omas.plot_soft_x_rays_geometry_lines_of_sight reads, without any data.

`dd_soft_x_rays_overview`

function source

dd_soft_x_rays_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_soft_x_rays_overview reads, without any data.

`dd_soft_x_rays_spectrogram`

function source

dd_soft_x_rays_spectrogram() -> tuple

The Data Dictionary paths vaft.omas.plot_soft_x_rays_spectrogram reads, without any data.

`dd_soft_x_rays_spectrum`

function source

dd_soft_x_rays_spectrum() -> tuple

The Data Dictionary paths vaft.omas.plot_soft_x_rays_spectrum reads, without any data.

`dd_soft_x_rays_time_power`

function source

dd_soft_x_rays_time_power() -> tuple

The Data Dictionary paths vaft.omas.plot_soft_x_rays_time_power reads, without any data.

`dd_spectrometer_uv_time_impurity`

function source

dd_spectrometer_uv_time_impurity() -> tuple

The Data Dictionary paths vaft.omas.plot_spectrometer_uv_time_impurity reads, without any data.

`dd_spectrometer_uv_time_intensity`

function source

dd_spectrometer_uv_time_intensity() -> tuple

The Data Dictionary paths vaft.omas.plot_spectrometer_uv_time_intensity reads, without any data.

`dd_startup_proxies_time`

function source

dd_startup_proxies_time() -> tuple

The Data Dictionary paths vaft.omas.plot_startup_proxies_time reads, without any data.

`dd_summary_time_energy`

function source

dd_summary_time_energy() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_energy reads, without any data.

`dd_summary_time_estimated_q95`

function source

dd_summary_time_estimated_q95() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_estimated_q95 reads, without any data.

`dd_summary_time_normalized_current`

function source

dd_summary_time_normalized_current() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_normalized_current reads, without any data.

`dd_summary_time_power_balance`

function source

dd_summary_time_power_balance() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_power_balance reads, without any data.

`dd_summary_time_q_star_cylindrical`

function source

dd_summary_time_q_star_cylindrical() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_q_star_cylindrical reads, without any data.

`dd_summary_time_q_star_kink`

function source

dd_summary_time_q_star_kink() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_q_star_kink reads, without any data.

`dd_summary_time_resistive_zeff`

function source

dd_summary_time_resistive_zeff() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_resistive_zeff reads, without any data.

`dd_summary_time_romero_balance`

function source

dd_summary_time_romero_balance() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_romero_balance reads, without any data.

`dd_summary_time_voltage_consumption`

function source

dd_summary_time_voltage_consumption() -> tuple

The Data Dictionary paths vaft.omas.plot_summary_time_voltage_consumption reads, without any data.

`dd_tf_coil_time_b_t`

function source

dd_tf_coil_time_b_t() -> tuple

The Data Dictionary paths vaft.omas.plot_tf_coil_time_b_t reads, without any data.

`dd_tf_coil_time_b_t_vacuum_r`

function source

dd_tf_coil_time_b_t_vacuum_r() -> tuple

The Data Dictionary paths vaft.omas.plot_tf_coil_time_b_t_vacuum_r reads, without any data.

`dd_tf_coil_time_current`

function source

dd_tf_coil_time_current() -> tuple

The Data Dictionary paths vaft.omas.plot_tf_coil_time_current reads, without any data.

`dd_thermal_pressure_profile`

function source

dd_thermal_pressure_profile() -> tuple

The Data Dictionary paths vaft.omas.plot_thermal_pressure_profile reads, without any data.

`dd_thomson_scattering_geometry_poloidal`

function source

dd_thomson_scattering_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_thomson_scattering_geometry_poloidal reads, without any data.

`dd_thomson_scattering_profile_electron_density`

function source

dd_thomson_scattering_profile_electron_density() -> tuple

The Data Dictionary paths vaft.omas.plot_thomson_scattering_profile_electron_density reads, without any data.

`dd_thomson_scattering_profile_electron_temperature`

function source

dd_thomson_scattering_profile_electron_temperature() -> tuple

The Data Dictionary paths vaft.omas.plot_thomson_scattering_profile_electron_temperature reads, without any data.

`dd_thomson_scattering_profile_fit`

function source

dd_thomson_scattering_profile_fit() -> tuple

The Data Dictionary paths vaft.omas.plot_thomson_scattering_profile_fit reads, without any data.

`dd_thomson_scattering_time_electron_density`

function source

dd_thomson_scattering_time_electron_density() -> tuple

The Data Dictionary paths vaft.omas.plot_thomson_scattering_time_electron_density reads, without any data.

`dd_thomson_scattering_time_electron_temperature`

function source

dd_thomson_scattering_time_electron_temperature() -> tuple

The Data Dictionary paths vaft.omas.plot_thomson_scattering_time_electron_temperature reads, without any data.

`dd_turbulent_transport_overview`

function source

dd_turbulent_transport_overview() -> tuple

The Data Dictionary paths vaft.omas.plot_turbulent_transport_overview reads, without any data.

`dd_turbulent_transport_profile_energy_flux`

function source

dd_turbulent_transport_profile_energy_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_turbulent_transport_profile_energy_flux reads, without any data.

`dd_turbulent_transport_profile_particle_flux`

function source

dd_turbulent_transport_profile_particle_flux() -> tuple

The Data Dictionary paths vaft.omas.plot_turbulent_transport_profile_particle_flux reads, without any data.

`dd_vacuum_field`

function source

dd_vacuum_field() -> tuple

The Data Dictionary paths vaft.omas.plot_vacuum_field reads, without any data.

`dd_vacuum_field_midplane`

function source

dd_vacuum_field_midplane() -> tuple

The Data Dictionary paths vaft.omas.plot_vacuum_field_midplane reads, without any data.

`dd_wall_geometry_poloidal`

function source

dd_wall_geometry_poloidal() -> tuple

The Data Dictionary paths vaft.omas.plot_wall_geometry_poloidal reads, without any data.

`disable_overlay_methods`

function source

disable_overlay_methods() -> None

Restore the OMAS methods wrapped by enable_overlay_methods.

`disable_plot_methods`

function source

disable_plot_methods() -> None

Remove the methods bound by enable_plot_methods.

`enable_overlay_methods`

function source

enable_overlay_methods(*, overwrite: bool = False) -> tuple[str, ...]

Wrap OMAS’ native ODS.plot_*_overlay so ax=None means a new figure.

`enable_plot_methods`

function source

enable_plot_methods(*, overwrite: bool = False) -> tuple[str, ...]

Bind ODS.plot_<canonical-stem> methods for every canonical plot.

`extract_b_field_probe_spatial_field`

function source

extract_b_field_probe_spatial_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_b_field_probe_spatial_field, as its view model, undrawn.

`extract_b_field_probe_time_field`

function source

extract_b_field_probe_time_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_b_field_probe_time_field, as its view model, undrawn.

`extract_barometry_time_pressure`

function source

extract_barometry_time_pressure(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_barometry_time_pressure, as its view model, undrawn.

`extract_camera_visible_animation_frames`

function source

extract_camera_visible_animation_frames(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_animation_frames, as its view model, undrawn.

`extract_camera_visible_image`

function source

extract_camera_visible_image(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image, as its view model, undrawn.

`extract_camera_visible_image_efit_overlay`

function source

extract_camera_visible_image_efit_overlay(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image_efit_overlay, as its view model, undrawn.

`extract_camera_visible_image_field_line`

function source

extract_camera_visible_image_field_line(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image_field_line, as its view model, undrawn.

`extract_camera_visible_image_fluctuation`

function source

extract_camera_visible_image_fluctuation(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image_fluctuation, as its view model, undrawn.

`extract_camera_visible_image_frame`

function source

extract_camera_visible_image_frame(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image_frame, as its view model, undrawn.

`extract_camera_visible_image_mhd_power`

function source

extract_camera_visible_image_mhd_power(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image_mhd_power, as its view model, undrawn.

`extract_camera_visible_image_vacuum_field_line`

function source

extract_camera_visible_image_vacuum_field_line(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_image_vacuum_field_line, as its view model, undrawn.

`extract_camera_visible_spectrogram`

function source

extract_camera_visible_spectrogram(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_camera_visible_spectrogram, as its view model, undrawn.

`extract_charge_exchange_geometry_poloidal`

function source

extract_charge_exchange_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_charge_exchange_geometry_poloidal, as its view model, undrawn.

`extract_charge_exchange_profile_fit`

function source

extract_charge_exchange_profile_fit(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_charge_exchange_profile_fit, as its view model, undrawn.

`extract_charge_exchange_profile_ion_temperature`

function source

extract_charge_exchange_profile_ion_temperature(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_charge_exchange_profile_ion_temperature, as its view model, undrawn.

`extract_charge_exchange_profile_velocity_tor`

function source

extract_charge_exchange_profile_velocity_tor(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_charge_exchange_profile_velocity_tor, as its view model, undrawn.

`extract_charge_exchange_time_ion_temperature`

function source

extract_charge_exchange_time_ion_temperature(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_charge_exchange_time_ion_temperature, as its view model, undrawn.

`extract_charge_exchange_time_velocity_tor`

function source

extract_charge_exchange_time_velocity_tor(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_charge_exchange_time_velocity_tor, as its view model, undrawn.

`extract_chease_overview_profile_validity`

function source

extract_chease_overview_profile_validity(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_chease_overview_profile_validity, as its view model, undrawn.

`extract_chease_overview_refinement_summary`

function source

extract_chease_overview_refinement_summary(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_chease_overview_refinement_summary, as its view model, undrawn.

`extract_coil_3d_geometry3d`

function source

extract_coil_3d_geometry3d(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_coil_3d_geometry3d, as its view model, undrawn.

`extract_coil_3d_geometry_topview`

function source

extract_coil_3d_geometry_topview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_coil_3d_geometry_topview, as its view model, undrawn.

`extract_coil_3d_profile_current`

function source

extract_coil_3d_profile_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_coil_3d_profile_current, as its view model, undrawn.

`extract_coil_3d_spectrum_current`

function source

extract_coil_3d_spectrum_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_coil_3d_spectrum_current, as its view model, undrawn.

`extract_core_profiles_profile_zeff`

function source

extract_core_profiles_profile_zeff(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_core_profiles_profile_zeff, as its view model, undrawn.

`extract_core_profiles_time_volume_averaged`

function source

extract_core_profiles_time_volume_averaged(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_core_profiles_time_volume_averaged, as its view model, undrawn.

`extract_current_overview`

function source

extract_current_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_current_overview, as its view model, undrawn.

`extract_current_overview_reconstruction`

function source

extract_current_overview_reconstruction(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_current_overview_reconstruction, as its view model, undrawn.

`extract_diagnostics_overview`

function source

extract_diagnostics_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_diagnostics_overview, as its view model, undrawn.

`extract_diagnostics_spectrum_coherence`

function source

extract_diagnostics_spectrum_coherence(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_diagnostics_spectrum_coherence, as its view model, undrawn.

`extract_diamagnetic_flux_time`

function source

extract_diamagnetic_flux_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_diamagnetic_flux_time, as its view model, undrawn.

`extract_ec_launchers_time_power`

function source

extract_ec_launchers_time_power(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_ec_launchers_time_power, as its view model, undrawn.

`extract_electron_density_field`

function source

extract_electron_density_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_density_field, as its view model, undrawn.

`extract_electron_density_profile`

function source

extract_electron_density_profile(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_density_profile, as its view model, undrawn.

`extract_electron_density_profile_gradient`

function source

extract_electron_density_profile_gradient(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_density_profile_gradient, as its view model, undrawn.

`extract_electron_density_time`

function source

extract_electron_density_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_density_time, as its view model, undrawn.

`extract_electron_temperature_field`

function source

extract_electron_temperature_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_temperature_field, as its view model, undrawn.

`extract_electron_temperature_profile`

function source

extract_electron_temperature_profile(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_temperature_profile, as its view model, undrawn.

`extract_electron_temperature_profile_gradient`

function source

extract_electron_temperature_profile_gradient(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_temperature_profile_gradient, as its view model, undrawn.

`extract_electron_temperature_time`

function source

extract_electron_temperature_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_electron_temperature_time, as its view model, undrawn.

`extract_equilibrium_field_2d`

function source

extract_equilibrium_field_2d(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_field_2d, as its view model, undrawn.

`extract_equilibrium_field_psi`

function source

extract_equilibrium_field_psi(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_field_psi, as its view model, undrawn.

`extract_equilibrium_field_psi_vacuum`

function source

extract_equilibrium_field_psi_vacuum(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_field_psi_vacuum, as its view model, undrawn.

`extract_equilibrium_geometry_boundary`

function source

extract_equilibrium_geometry_boundary(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_geometry_boundary, as its view model, undrawn.

`extract_equilibrium_geometry_topview`

function source

extract_equilibrium_geometry_topview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_geometry_topview, as its view model, undrawn.

`extract_equilibrium_overview`

function source

extract_equilibrium_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview, as its view model, undrawn.

`extract_equilibrium_overview_constraint_coverage`

function source

extract_equilibrium_overview_constraint_coverage(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_constraint_coverage, as its view model, undrawn.

`extract_equilibrium_overview_constraint_weights`

function source

extract_equilibrium_overview_constraint_weights(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_constraint_weights, as its view model, undrawn.

`extract_equilibrium_overview_constraints`

function source

extract_equilibrium_overview_constraints(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_constraints, as its view model, undrawn.

`extract_equilibrium_overview_convergence`

function source

extract_equilibrium_overview_convergence(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_convergence, as its view model, undrawn.

`extract_equilibrium_overview_fit_quality`

function source

extract_equilibrium_overview_fit_quality(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_fit_quality, as its view model, undrawn.

`extract_equilibrium_overview_histories`

function source

extract_equilibrium_overview_histories(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_histories, as its view model, undrawn.

`extract_equilibrium_overview_pressure_weight_scan`

function source

extract_equilibrium_overview_pressure_weight_scan(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_pressure_weight_scan, as its view model, undrawn.

`extract_equilibrium_overview_profiles`

function source

extract_equilibrium_overview_profiles(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_profiles, as its view model, undrawn.

`extract_equilibrium_overview_residuals`

function source

extract_equilibrium_overview_residuals(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_residuals, as its view model, undrawn.

`extract_equilibrium_overview_verification`

function source

extract_equilibrium_overview_verification(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_overview_verification, as its view model, undrawn.

`extract_equilibrium_profile_f`

function source

extract_equilibrium_profile_f(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_profile_f, as its view model, undrawn.

`extract_equilibrium_profile_ffprime`

function source

extract_equilibrium_profile_ffprime(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_profile_ffprime, as its view model, undrawn.

`extract_equilibrium_profile_j_tor`

function source

extract_equilibrium_profile_j_tor(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_profile_j_tor, as its view model, undrawn.

`extract_equilibrium_profile_pprime`

function source

extract_equilibrium_profile_pprime(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_profile_pprime, as its view model, undrawn.

`extract_equilibrium_profile_pressure`

function source

extract_equilibrium_profile_pressure(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_profile_pressure, as its view model, undrawn.

`extract_equilibrium_profile_q`

function source

extract_equilibrium_profile_q(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_profile_q, as its view model, undrawn.

`extract_equilibrium_table_fit_quality`

function source

extract_equilibrium_table_fit_quality(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_table_fit_quality, as its view model, undrawn.

`extract_equilibrium_table_summary`

function source

extract_equilibrium_table_summary(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_table_summary, as its view model, undrawn.

`extract_equilibrium_table_validation`

function source

extract_equilibrium_table_validation(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_table_validation, as its view model, undrawn.

`extract_equilibrium_text_summary`

function source

extract_equilibrium_text_summary(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_text_summary, as its view model, undrawn.

`extract_equilibrium_time_beta`

function source

extract_equilibrium_time_beta(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_beta, as its view model, undrawn.

`extract_equilibrium_time_beta_n`

function source

extract_equilibrium_time_beta_n(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_beta_n, as its view model, undrawn.

`extract_equilibrium_time_beta_p`

function source

extract_equilibrium_time_beta_p(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_beta_p, as its view model, undrawn.

`extract_equilibrium_time_beta_t`

function source

extract_equilibrium_time_beta_t(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_beta_t, as its view model, undrawn.

`extract_equilibrium_time_diamagnetic_flux`

function source

extract_equilibrium_time_diamagnetic_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_diamagnetic_flux, as its view model, undrawn.

`extract_equilibrium_time_elongation`

function source

extract_equilibrium_time_elongation(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_elongation, as its view model, undrawn.

`extract_equilibrium_time_li`

function source

extract_equilibrium_time_li(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_li, as its view model, undrawn.

`extract_equilibrium_time_major_radius`

function source

extract_equilibrium_time_major_radius(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_major_radius, as its view model, undrawn.

`extract_equilibrium_time_minor_radius`

function source

extract_equilibrium_time_minor_radius(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_minor_radius, as its view model, undrawn.

`extract_equilibrium_time_plasma_current`

function source

extract_equilibrium_time_plasma_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_plasma_current, as its view model, undrawn.

`extract_equilibrium_time_q0`

function source

extract_equilibrium_time_q0(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_q0, as its view model, undrawn.

`extract_equilibrium_time_q95`

function source

extract_equilibrium_time_q95(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_q95, as its view model, undrawn.

`extract_equilibrium_time_qa`

function source

extract_equilibrium_time_qa(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_qa, as its view model, undrawn.

`extract_equilibrium_time_shape`

function source

extract_equilibrium_time_shape(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_shape, as its view model, undrawn.

`extract_equilibrium_time_triangularity`

function source

extract_equilibrium_time_triangularity(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_triangularity, as its view model, undrawn.

`extract_equilibrium_time_triangularity_lower`

function source

extract_equilibrium_time_triangularity_lower(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_triangularity_lower, as its view model, undrawn.

`extract_equilibrium_time_triangularity_upper`

function source

extract_equilibrium_time_triangularity_upper(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_triangularity_upper, as its view model, undrawn.

`extract_equilibrium_time_virial`

function source

extract_equilibrium_time_virial(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_virial, as its view model, undrawn.

`extract_equilibrium_time_w_mag`

function source

extract_equilibrium_time_w_mag(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_w_mag, as its view model, undrawn.

`extract_equilibrium_time_w_mhd`

function source

extract_equilibrium_time_w_mhd(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_w_mhd, as its view model, undrawn.

`extract_equilibrium_time_w_tot`

function source

extract_equilibrium_time_w_tot(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_equilibrium_time_w_tot, as its view model, undrawn.

`extract_field_line_topology_field_connection_length`

function source

extract_field_line_topology_field_connection_length(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_field_line_topology_field_connection_length, as its view model, undrawn.

`extract_flux_loop_spatial_flux`

function source

extract_flux_loop_spatial_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_flux_loop_spatial_flux, as its view model, undrawn.

`extract_flux_loop_time_flux`

function source

extract_flux_loop_time_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_flux_loop_time_flux, as its view model, undrawn.

`extract_flux_loop_time_voltage`

function source

extract_flux_loop_time_voltage(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_flux_loop_time_voltage, as its view model, undrawn.

`extract_gyrokinetics_overview`

function source

extract_gyrokinetics_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_gyrokinetics_overview, as its view model, undrawn.

`extract_gyrokinetics_profile_eigenfunction`

function source

extract_gyrokinetics_profile_eigenfunction(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_gyrokinetics_profile_eigenfunction, as its view model, undrawn.

`extract_gyrokinetics_spectrum_energy_flux`

function source

extract_gyrokinetics_spectrum_energy_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_gyrokinetics_spectrum_energy_flux, as its view model, undrawn.

`extract_gyrokinetics_spectrum_frequency`

function source

extract_gyrokinetics_spectrum_frequency(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_gyrokinetics_spectrum_frequency, as its view model, undrawn.

`extract_gyrokinetics_spectrum_growth_rate`

function source

extract_gyrokinetics_spectrum_growth_rate(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_gyrokinetics_spectrum_growth_rate, as its view model, undrawn.

`extract_gyrokinetics_spectrum_particle_flux`

function source

extract_gyrokinetics_spectrum_particle_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_gyrokinetics_spectrum_particle_flux, as its view model, undrawn.

`extract_impa_overview`

function source

extract_impa_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_impa_overview, as its view model, undrawn.

`extract_impa_profile_field`

function source

extract_impa_profile_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_impa_profile_field, as its view model, undrawn.

`extract_impa_time_field`

function source

extract_impa_time_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_impa_time_field, as its view model, undrawn.

`extract_impa_time_voltage`

function source

extract_impa_time_voltage(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_impa_time_voltage, as its view model, undrawn.

`extract_impurity_profile_charge_state_fraction`

function source

extract_impurity_profile_charge_state_fraction(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_impurity_profile_charge_state_fraction, as its view model, undrawn.

`extract_impurity_profile_composition`

function source

extract_impurity_profile_composition(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_impurity_profile_composition, as its view model, undrawn.

`extract_interferometer_overview`

function source

extract_interferometer_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_interferometer_overview, as its view model, undrawn.

`extract_interferometer_spectrogram`

function source

extract_interferometer_spectrogram(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_interferometer_spectrogram, as its view model, undrawn.

`extract_interferometer_spectrum`

function source

extract_interferometer_spectrum(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_interferometer_spectrum, as its view model, undrawn.

`extract_interferometer_time_n_e_line`

function source

extract_interferometer_time_n_e_line(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_interferometer_time_n_e_line, as its view model, undrawn.

`extract_ion_temperature_profile`

function source

extract_ion_temperature_profile(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_ion_temperature_profile, as its view model, undrawn.

`extract_ion_temperature_profile_gradient`

function source

extract_ion_temperature_profile_gradient(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_ion_temperature_profile_gradient, as its view model, undrawn.

`extract_kinetic_overview_profiles`

function source

extract_kinetic_overview_profiles(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_kinetic_overview_profiles, as its view model, undrawn.

`extract_kinetic_overview_state`

function source

extract_kinetic_overview_state(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_kinetic_overview_state, as its view model, undrawn.

`extract_limiter_current_time`

function source

extract_limiter_current_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_limiter_current_time, as its view model, undrawn.

`extract_machine_geometry3d`

function source

extract_machine_geometry3d(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_machine_geometry3d, as its view model, undrawn.

`extract_machine_geometry_poloidal`

function source

extract_machine_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_machine_geometry_poloidal, as its view model, undrawn.

`extract_machine_geometry_topview`

function source

extract_machine_geometry_topview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_machine_geometry_topview, as its view model, undrawn.

`extract_magnetics_geometry_poloidal`

function source

extract_magnetics_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_geometry_poloidal, as its view model, undrawn.

`extract_magnetics_overview`

function source

extract_magnetics_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_overview, as its view model, undrawn.

`extract_magnetics_overview_plasma_residual`

function source

extract_magnetics_overview_plasma_residual(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_overview_plasma_residual, as its view model, undrawn.

`extract_magnetics_overview_vacuum`

function source

extract_magnetics_overview_vacuum(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_overview_vacuum, as its view model, undrawn.

`extract_magnetics_overview_vacuum_benchmark`

function source

extract_magnetics_overview_vacuum_benchmark(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_overview_vacuum_benchmark, as its view model, undrawn.

`extract_magnetics_table_vacuum_benchmark`

function source

extract_magnetics_table_vacuum_benchmark(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_table_vacuum_benchmark, as its view model, undrawn.

`extract_magnetics_table_vacuum_benchmark_aggregate`

function source

extract_magnetics_table_vacuum_benchmark_aggregate(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_magnetics_table_vacuum_benchmark_aggregate, as its view model, undrawn.

`extract_mhd_linear_field_spectrum`

function source

extract_mhd_linear_field_spectrum(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_field_spectrum, as its view model, undrawn.

`extract_mhd_linear_geometry_island`

function source

extract_mhd_linear_geometry_island(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_geometry_island, as its view model, undrawn.

`extract_mhd_linear_overview_eigenfunction`

function source

extract_mhd_linear_overview_eigenfunction(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_overview_eigenfunction, as its view model, undrawn.

`extract_mhd_linear_profile_b_field_perturbed`

function source

extract_mhd_linear_profile_b_field_perturbed(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_profile_b_field_perturbed, as its view model, undrawn.

`extract_mhd_linear_profile_chirikov`

function source

extract_mhd_linear_profile_chirikov(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_profile_chirikov, as its view model, undrawn.

`extract_mhd_linear_profile_displacement`

function source

extract_mhd_linear_profile_displacement(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_profile_displacement, as its view model, undrawn.

`extract_mhd_linear_profile_island_width`

function source

extract_mhd_linear_profile_island_width(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_profile_island_width, as its view model, undrawn.

`extract_mhd_linear_profile_resonant_flux`

function source

extract_mhd_linear_profile_resonant_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_profile_resonant_flux, as its view model, undrawn.

`extract_mhd_linear_spectrum_b_field_perturbed`

function source

extract_mhd_linear_spectrum_b_field_perturbed(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_spectrum_b_field_perturbed, as its view model, undrawn.

`extract_mhd_linear_time_energy_perturbed`

function source

extract_mhd_linear_time_energy_perturbed(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mhd_linear_time_energy_perturbed, as its view model, undrawn.

`extract_mirnov_spatial_phase`

function source

extract_mirnov_spatial_phase(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mirnov_spatial_phase, as its view model, undrawn.

`extract_mirnov_spectrogram`

function source

extract_mirnov_spectrogram(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mirnov_spectrogram, as its view model, undrawn.

`extract_mirnov_spectrum`

function source

extract_mirnov_spectrum(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mirnov_spectrum, as its view model, undrawn.

`extract_mirnov_time_voltage`

function source

extract_mirnov_time_voltage(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_mirnov_time_voltage, as its view model, undrawn.

`extract_nbi_profile_current_drive`

function source

extract_nbi_profile_current_drive(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_nbi_profile_current_drive, as its view model, undrawn.

`extract_nbi_profile_electron_heating`

function source

extract_nbi_profile_electron_heating(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_nbi_profile_electron_heating, as its view model, undrawn.

`extract_nbi_profile_ion_heating`

function source

extract_nbi_profile_ion_heating(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_nbi_profile_ion_heating, as its view model, undrawn.

`extract_neoclassical_profile_bootstrap_current`

function source

extract_neoclassical_profile_bootstrap_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_neoclassical_profile_bootstrap_current, as its view model, undrawn.

`extract_ntms_time_delta_prime`

function source

extract_ntms_time_delta_prime(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_ntms_time_delta_prime, as its view model, undrawn.

`extract_passive_structure_field_wall_reduction`

function source

extract_passive_structure_field_wall_reduction(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_passive_structure_field_wall_reduction, as its view model, undrawn.

`extract_passive_structure_geometry_poloidal`

function source

extract_passive_structure_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_passive_structure_geometry_poloidal, as its view model, undrawn.

`extract_passive_structure_geometry_wall_mode`

function source

extract_passive_structure_geometry_wall_mode(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_passive_structure_geometry_wall_mode, as its view model, undrawn.

`extract_passive_structure_overview_wall_reduction`

function source

extract_passive_structure_overview_wall_reduction(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_passive_structure_overview_wall_reduction, as its view model, undrawn.

`extract_passive_structure_overview_wall_time`

function source

extract_passive_structure_overview_wall_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_passive_structure_overview_wall_time, as its view model, undrawn.

`extract_passive_structure_time_current`

function source

extract_passive_structure_time_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_passive_structure_time_current, as its view model, undrawn.

`extract_pf_coil_geometry_poloidal`

function source

extract_pf_coil_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_pf_coil_geometry_poloidal, as its view model, undrawn.

`extract_pf_coil_time_current`

function source

extract_pf_coil_time_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_pf_coil_time_current, as its view model, undrawn.

`extract_pf_coil_time_current_turns`

function source

extract_pf_coil_time_current_turns(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_pf_coil_time_current_turns, as its view model, undrawn.

`extract_pf_plasma_geometry_poloidal`

function source

extract_pf_plasma_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_pf_plasma_geometry_poloidal, as its view model, undrawn.

`extract_plasma_current_time`

function source

extract_plasma_current_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_plasma_current_time, as its view model, undrawn.

`extract_rogowski_coil_time_current`

function source

extract_rogowski_coil_time_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_rogowski_coil_time_current, as its view model, undrawn.

`extract_soft_x_rays_geometry_lines_of_sight`

function source

extract_soft_x_rays_geometry_lines_of_sight(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_soft_x_rays_geometry_lines_of_sight, as its view model, undrawn.

`extract_soft_x_rays_overview`

function source

extract_soft_x_rays_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_soft_x_rays_overview, as its view model, undrawn.

`extract_soft_x_rays_spectrogram`

function source

extract_soft_x_rays_spectrogram(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_soft_x_rays_spectrogram, as its view model, undrawn.

`extract_soft_x_rays_spectrum`

function source

extract_soft_x_rays_spectrum(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_soft_x_rays_spectrum, as its view model, undrawn.

`extract_soft_x_rays_time_power`

function source

extract_soft_x_rays_time_power(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_soft_x_rays_time_power, as its view model, undrawn.

`extract_spectrometer_uv_time_impurity`

function source

extract_spectrometer_uv_time_impurity(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_spectrometer_uv_time_impurity, as its view model, undrawn.

`extract_spectrometer_uv_time_intensity`

function source

extract_spectrometer_uv_time_intensity(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_spectrometer_uv_time_intensity, as its view model, undrawn.

`extract_startup_proxies_time`

function source

extract_startup_proxies_time(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_startup_proxies_time, as its view model, undrawn.

`extract_summary_time_energy`

function source

extract_summary_time_energy(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_energy, as its view model, undrawn.

`extract_summary_time_estimated_q95`

function source

extract_summary_time_estimated_q95(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_estimated_q95, as its view model, undrawn.

`extract_summary_time_normalized_current`

function source

extract_summary_time_normalized_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_normalized_current, as its view model, undrawn.

`extract_summary_time_power_balance`

function source

extract_summary_time_power_balance(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_power_balance, as its view model, undrawn.

`extract_summary_time_q_star_cylindrical`

function source

extract_summary_time_q_star_cylindrical(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_q_star_cylindrical, as its view model, undrawn.

`extract_summary_time_q_star_kink`

function source

extract_summary_time_q_star_kink(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_q_star_kink, as its view model, undrawn.

`extract_summary_time_resistive_zeff`

function source

extract_summary_time_resistive_zeff(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_resistive_zeff, as its view model, undrawn.

`extract_summary_time_romero_balance`

function source

extract_summary_time_romero_balance(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_romero_balance, as its view model, undrawn.

`extract_summary_time_voltage_consumption`

function source

extract_summary_time_voltage_consumption(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_summary_time_voltage_consumption, as its view model, undrawn.

`extract_tf_coil_time_b_t`

function source

extract_tf_coil_time_b_t(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_tf_coil_time_b_t, as its view model, undrawn.

`extract_tf_coil_time_b_t_vacuum_r`

function source

extract_tf_coil_time_b_t_vacuum_r(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_tf_coil_time_b_t_vacuum_r, as its view model, undrawn.

`extract_tf_coil_time_current`

function source

extract_tf_coil_time_current(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_tf_coil_time_current, as its view model, undrawn.

`extract_thermal_pressure_profile`

function source

extract_thermal_pressure_profile(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thermal_pressure_profile, as its view model, undrawn.

`extract_thomson_scattering_geometry_poloidal`

function source

extract_thomson_scattering_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thomson_scattering_geometry_poloidal, as its view model, undrawn.

`extract_thomson_scattering_profile_electron_density`

function source

extract_thomson_scattering_profile_electron_density(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thomson_scattering_profile_electron_density, as its view model, undrawn.

`extract_thomson_scattering_profile_electron_temperature`

function source

extract_thomson_scattering_profile_electron_temperature(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thomson_scattering_profile_electron_temperature, as its view model, undrawn.

`extract_thomson_scattering_profile_fit`

function source

extract_thomson_scattering_profile_fit(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thomson_scattering_profile_fit, as its view model, undrawn.

`extract_thomson_scattering_time_electron_density`

function source

extract_thomson_scattering_time_electron_density(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thomson_scattering_time_electron_density, as its view model, undrawn.

`extract_thomson_scattering_time_electron_temperature`

function source

extract_thomson_scattering_time_electron_temperature(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_thomson_scattering_time_electron_temperature, as its view model, undrawn.

`extract_turbulent_transport_overview`

function source

extract_turbulent_transport_overview(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_turbulent_transport_overview, as its view model, undrawn.

`extract_turbulent_transport_profile_energy_flux`

function source

extract_turbulent_transport_profile_energy_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_turbulent_transport_profile_energy_flux, as its view model, undrawn.

`extract_turbulent_transport_profile_particle_flux`

function source

extract_turbulent_transport_profile_particle_flux(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_turbulent_transport_profile_particle_flux, as its view model, undrawn.

`extract_vacuum_field`

function source

extract_vacuum_field(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_vacuum_field, as its view model, undrawn.

`extract_vacuum_field_midplane`

function source

extract_vacuum_field_midplane(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_vacuum_field_midplane, as its view model, undrawn.

`extract_wall_geometry_poloidal`

function source

extract_wall_geometry_poloidal(source: Any, *, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The data behind vaft.omas.plot_wall_geometry_poloidal, as its view model, undrawn.

`plot_b_field_probe_spatial_field`

function source

plot_b_field_probe_spatial_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

B-probe poloidal field against sensor position at one time (issue #486).

`plot_b_field_probe_time_field`

function source

plot_b_field_probe_time_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Poloidal field measured by each selected B-field probe.

`plot_barometry_time_pressure`

function source

plot_barometry_time_pressure(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Neutral pressure history from the barometry gauges.

`plot_camera_visible_animation_frames`

functionDeprecatedDeprecated usage source

plot_camera_visible_animation_frames(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any)

Deprecated: use plot_camera_visible_image(..., animation=True) (issue #1050).

Deprecated: Deprecated: use ``plot_camera_visible_image(..., animation=True)`` (issue #1050).

`plot_camera_visible_image`

function source

plot_camera_visible_image(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

One camera frame, optionally with overlays through one projection.

`plot_camera_visible_image_efit_overlay`

function source

plot_camera_visible_image_efit_overlay(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

FAST-camera frame with the projected EFIT/wall overlay.

`plot_camera_visible_image_field_line`

function source

plot_camera_visible_image_field_line(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

FAST-camera frame with a projected traced magnetic field line.

`plot_camera_visible_image_fluctuation`

function source

plot_camera_visible_image_fluctuation(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

One FAST-camera frame with its local temporal background removed.

`plot_camera_visible_image_frame`

function source

plot_camera_visible_image_frame(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

One FAST-camera frame, selected by frame_index= or nearest time=.

`plot_camera_visible_image_mhd_power`

function source

plot_camera_visible_image_mhd_power(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Per-pixel MHD-band power normalised by the local average emission.

`plot_camera_visible_image_vacuum_field_line`

function source

plot_camera_visible_image_vacuum_field_line(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

FAST-camera frame with vacuum field lines traced at the frame’s time.

`plot_camera_visible_spectrogram`

function source

plot_camera_visible_spectrogram(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Time-frequency map of the camera intensity summed over one image region.

`plot_charge_exchange_geometry_poloidal`

function source

plot_charge_exchange_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Charge-exchange measurement positions in the poloidal plane.

`plot_charge_exchange_profile_fit`

function source

plot_charge_exchange_profile_fit(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Charge-exchange T_i or V_phi (field=ti

vphi) at one time: channels with error bars, refused channels hollow, and the fit through them on psi_N, rho_N or R (issue #952).

`plot_charge_exchange_profile_ion_temperature`

function source

plot_charge_exchange_profile_ion_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Charge-exchange ion temperature versus position.

`plot_charge_exchange_profile_velocity_tor`

function source

plot_charge_exchange_profile_velocity_tor(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Charge-exchange toroidal rotation versus position.

`plot_charge_exchange_time_ion_temperature`

function source

plot_charge_exchange_time_ion_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-channel ion temperature history from charge-exchange spectroscopy.

`plot_charge_exchange_time_velocity_tor`

function source

plot_charge_exchange_time_velocity_tor(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-channel toroidal rotation history from charge-exchange spectroscopy.

`plot_chease_overview_profile_validity`

function source

plot_chease_overview_profile_validity(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

CHEASE validation: is the refined equilibrium itself physically sound?

`plot_chease_overview_refinement_summary`

function source

plot_chease_overview_refinement_summary(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

CHEASE validation: how far did refinement move the EFIT equilibrium?

`plot_coil_3d_geometry3d`

function source

plot_coil_3d_geometry3d(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Non-axisymmetric 3D coil filaments in machine Cartesian coordinates.

`plot_coil_3d_geometry_topview`

function source

plot_coil_3d_geometry_topview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Non-axisymmetric 3D coil filaments projected into the machine top view.

`plot_coil_3d_profile_current`

function source

plot_coil_3d_profile_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Sector currents of each non-axisymmetric coil set against toroidal angle: one marker per sector, because that is the whole waveform a discrete coil set carries.

`plot_coil_3d_spectrum_current`

function source

plot_coil_3d_spectrum_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Toroidal mode content

C_n

of each non-axisymmetric coil set’s excitation, to the last harmonic its sectors resolve.

`plot_coils_non_axisymmetric_geometry3d`

functionDeprecatedDeprecated usage source

plot_coils_non_axisymmetric_geometry3d(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_coil_3d_geometry3d (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_coil_3d_geometry3d`` (renamed by issue #251).

`plot_coils_non_axisymmetric_geometry_topview`

functionDeprecatedDeprecated usage source

plot_coils_non_axisymmetric_geometry_topview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_coil_3d_geometry_topview (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_coil_3d_geometry_topview`` (renamed by issue #251).

`plot_core_profiles_field_electron_density`

functionDeprecatedDeprecated usage source

plot_core_profiles_field_electron_density(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_electron_density_field (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_electron_density_field`` (renamed by issue #251).

`plot_core_profiles_field_electron_temperature`

functionDeprecatedDeprecated usage source

plot_core_profiles_field_electron_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_electron_temperature_field (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_electron_temperature_field`` (renamed by issue #251).

`plot_core_profiles_profile_electron_density`

functionDeprecatedDeprecated usage source

plot_core_profiles_profile_electron_density(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_electron_density_profile (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_electron_density_profile`` (renamed by issue #251).

`plot_core_profiles_profile_electron_temperature`

functionDeprecatedDeprecated usage source

plot_core_profiles_profile_electron_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_electron_temperature_profile (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_electron_temperature_profile`` (renamed by issue #251).

`plot_core_profiles_profile_ion_temperature`

functionDeprecatedDeprecated usage source

plot_core_profiles_profile_ion_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_ion_temperature_profile (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_ion_temperature_profile`` (renamed by issue #251).

`plot_core_profiles_profile_pressure`

functionDeprecatedDeprecated usage source

plot_core_profiles_profile_pressure(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_thermal_pressure_profile (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_thermal_pressure_profile`` (renamed by issue #251).

`plot_core_profiles_profile_zeff`

function source

plot_core_profiles_profile_zeff(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Z_eff(rho) stored in a core_profiles slice, labelled measured, assumed, derived or inferred by its zeff_fit record; an unlabelled profile says so.

`plot_core_profiles_time_electron_density`

functionDeprecatedDeprecated usage source

plot_core_profiles_time_electron_density(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_electron_density_time (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_electron_density_time`` (renamed by issue #251).

`plot_core_profiles_time_electron_temperature`

functionDeprecatedDeprecated usage source

plot_core_profiles_time_electron_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_electron_temperature_time (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_electron_temperature_time`` (renamed by issue #251).

`plot_core_profiles_time_volume_averaged`

function source

plot_core_profiles_time_volume_averaged(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Volume-averaged core quantity panels on a shared time axis.

`plot_current_overview`

function source

plot_current_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Plasma, PF coil and eddy current panels on a shared time axis.

`plot_current_overview_reconstruction`

function source

plot_current_overview_reconstruction(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Measured I_p with the reconstructed I_p of every equilibrium slice by convergence, PF coil currents and eddy currents, in kA.

`plot_diagnostics_overview`

function source

plot_diagnostics_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Time overview across the diagnostic subjects, one panel per available member.

`plot_diagnostics_spectrum_coherence`

function source

plot_diagnostics_spectrum_coherence(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Coherence and relative phase of two fluctuation channels (issue #1005).

`plot_diamagnetic_flux_time`

function source

plot_diamagnetic_flux_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Measured diamagnetic flux history.

`plot_ec_launchers_time_power`

function source

plot_ec_launchers_time_power(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Net launched electron-cyclotron power (forward minus reflected) per beam; noisy, so smooth= is a rolling median in seconds.

`plot_electromagnetics_time_current`

functionDeprecatedDeprecated usage source

plot_electromagnetics_time_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_current_overview (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_current_overview`` (renamed by issue #251).

`plot_electron_density_field`

function source

plot_electron_density_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Electron density mapped onto the poloidal plane.

`plot_electron_density_profile`

function source

plot_electron_density_profile(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Core electron density profile.

`plot_electron_density_profile_gradient`

function source

plot_electron_density_profile_gradient(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Normalized logarithmic gradient of the core electron density, -L d ln f/dx, with its abscissa, gradient coordinate and reference length stated (a/L by default).

`plot_electron_density_time`

function source

plot_electron_density_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Volume-averaged electron density history.

`plot_electron_temperature_field`

function source

plot_electron_temperature_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Electron temperature mapped onto the poloidal plane.

`plot_electron_temperature_profile`

function source

plot_electron_temperature_profile(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Core electron temperature profile.

`plot_electron_temperature_profile_gradient`

function source

plot_electron_temperature_profile_gradient(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Normalized logarithmic gradient of the core electron temperature, -L d ln f/dx, with its abscissa, gradient coordinate and reference length stated (a/L by default).

`plot_electron_temperature_time`

function source

plot_electron_temperature_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Volume-averaged electron temperature history.

`plot_equilibrium_field_2d`

function source

plot_equilibrium_field_2d(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

One reconstructed 2-D equilibrium quantity on the (R, Z) grid (issue #483).

`plot_equilibrium_field_psi`

function source

plot_equilibrium_field_psi(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Reconstructed poloidal flux map on the equilibrium (R, Z) grid.

`plot_equilibrium_field_psi_vacuum`

function source

plot_equilibrium_field_psi_vacuum(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Vacuum poloidal flux from the PF coils alone, without plasma.

`plot_equilibrium_geometry_boundary`

function source

plot_equilibrium_geometry_boundary(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Last-closed-flux-surface outline in the poloidal plane.

`plot_equilibrium_geometry_topview`

function source

plot_equilibrium_geometry_topview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium boundary projected into the machine top view.

`plot_equilibrium_overview`

function source

plot_equilibrium_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Equilibrium analysis overview: global quantities plus poloidal geometry.

`plot_equilibrium_overview_constraint_coverage`

function source

plot_equilibrium_overview_constraint_coverage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

EFIT validation: how the fitted channel set changes across time slices.

`plot_equilibrium_overview_constraint_weights`

function source

plot_equilibrium_overview_constraint_weights(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per constraint family: the stored uncertainty beside the one EFIT fitted against (k / weight), the weight, and the normalized residual (issue #952).

`plot_equilibrium_overview_constraints`

function source

plot_equilibrium_overview_constraints(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

EFIT validation: the magnetic constraints actually submitted to the solver.

`plot_equilibrium_overview_convergence`

function source

plot_equilibrium_overview_convergence(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

EFIT validation: is the solution converged and numerically self-consistent?

`plot_equilibrium_overview_fit_quality`

function source

plot_equilibrium_overview_fit_quality(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

EFIT validation: is the fit acceptable against the uncertainties EFIT was given?

`plot_equilibrium_overview_histories`

function source

plot_equilibrium_overview_histories(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Equilibrium global quantities against time: Ip, beta_p, li, q95.

`plot_equilibrium_overview_pressure_weight_scan`

function source

plot_equilibrium_overview_pressure_weight_scan(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Reconstructions of one instant with the kinetic-pressure constraint weighted differently, entries labelled by the factor: p and q against psi_N, and beta_p, l_i and chi-square against the factor (issue #952).

`plot_equilibrium_overview_profiles`

function source

plot_equilibrium_overview_profiles(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

The principal 1-D equilibrium profiles side by side.

`plot_equilibrium_overview_residuals`

function source

plot_equilibrium_overview_residuals(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

EFIT validation: measured-minus-reconstructed residuals by diagnostic family.

`plot_equilibrium_overview_verification`

function source

plot_equilibrium_overview_verification(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Render equilibrium_overview_verification from finalized EFIT data.

`plot_equilibrium_profile_f`

function source

plot_equilibrium_profile_f(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium poloidal current function F = R*B_t.

`plot_equilibrium_profile_ffprime`

function source

plot_equilibrium_profile_ffprime(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium F dF/dpsi profile.

`plot_equilibrium_profile_j_tor`

function source

plot_equilibrium_profile_j_tor(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium toroidal current-density profile.

`plot_equilibrium_profile_pprime`

function source

plot_equilibrium_profile_pprime(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium dp/dpsi profile.

`plot_equilibrium_profile_pressure`

function source

plot_equilibrium_profile_pressure(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium 1D pressure profile.

`plot_equilibrium_profile_q`

function source

plot_equilibrium_profile_q(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Equilibrium safety-factor profile.

`plot_equilibrium_table_fit_quality`

function source

plot_equilibrium_table_fit_quality(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

EFIT goodness of fit at one slice, per constraint family: fit role, channel states, share of the total chi-square and residuals normalized by the uncertainty EFIT was given; the reduced chi-square in the caption.

`plot_equilibrium_table_summary`

function source

plot_equilibrium_table_summary(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

One equilibrium slice’s global quantities as a table – the representative slice, or the stored slice time= snaps to – in the display units of the slice overview.

`plot_equilibrium_table_validation`

function source

plot_equilibrium_table_validation(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Every registered validation check’s verdict at one equilibrium slice – verification, diagnostic fit, physical validity, independent validation: the number each status was decided on, the registry criterion, the status (NOT_AVAILABLE and INDETERMINATE kept as such) and its reason; the aggregate status and the count per status in the caption.

`plot_equilibrium_text_summary`

function source

plot_equilibrium_text_summary(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

One equilibrium slice as a text summary: which slice and why, its global quantities, and its boundary shape.

`plot_equilibrium_time_beta`

function source

plot_equilibrium_time_beta(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Poloidal, toroidal and normalized beta panels.

`plot_equilibrium_time_beta_n`

function source

plot_equilibrium_time_beta_n(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Normalized beta history.

`plot_equilibrium_time_beta_p`

function source

plot_equilibrium_time_beta_p(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Poloidal beta history.

`plot_equilibrium_time_beta_pol`

functionDeprecatedDeprecated usage source

plot_equilibrium_time_beta_pol(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_equilibrium_time_beta_p (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_equilibrium_time_beta_p`` (renamed by issue #251).

`plot_equilibrium_time_beta_t`

function source

plot_equilibrium_time_beta_t(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Toroidal beta history.

`plot_equilibrium_time_beta_tor`

functionDeprecatedDeprecated usage source

plot_equilibrium_time_beta_tor(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_equilibrium_time_beta_t (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_equilibrium_time_beta_t`` (renamed by issue #251).

`plot_equilibrium_time_diamagnetic_flux`

function source

plot_equilibrium_time_diamagnetic_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Measured versus reconstructed diamagnetic-flux constraint.

`plot_equilibrium_time_elongation`

function source

plot_equilibrium_time_elongation(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Boundary elongation history.

`plot_equilibrium_time_li`

function source

plot_equilibrium_time_li(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Internal inductance li_3 history.

`plot_equilibrium_time_major_radius`

function source

plot_equilibrium_time_major_radius(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Geometric-axis major radius history.

`plot_equilibrium_time_minor_radius`

function source

plot_equilibrium_time_minor_radius(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Boundary minor radius history.

`plot_equilibrium_time_plasma_current`

function source

plot_equilibrium_time_plasma_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Reconstructed plasma current history.

`plot_equilibrium_time_q0`

function source

plot_equilibrium_time_q0(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Safety factor on axis.

`plot_equilibrium_time_q95`

function source

plot_equilibrium_time_q95(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Safety factor at the 95% flux surface.

`plot_equilibrium_time_qa`

function source

plot_equilibrium_time_qa(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Safety factor at the plasma edge.

`plot_equilibrium_time_shape`

function source

plot_equilibrium_time_shape(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Major and minor radius, elongation and upper/lower triangularity histories.

`plot_equilibrium_time_triangularity`

function source

plot_equilibrium_time_triangularity(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Boundary triangularity history, the mean of upper and lower.

`plot_equilibrium_time_triangularity_lower`

function source

plot_equilibrium_time_triangularity_lower(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Lower boundary triangularity history.

`plot_equilibrium_time_triangularity_upper`

function source

plot_equilibrium_time_triangularity_upper(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Upper boundary triangularity history.

`plot_equilibrium_time_virial`

function source

plot_equilibrium_time_virial(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Virial-estimate equilibrium quantities against the reconstruction.

`plot_equilibrium_time_w_mag`

function source

plot_equilibrium_time_w_mag(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Magnetic stored energy history.

`plot_equilibrium_time_w_mhd`

function source

plot_equilibrium_time_w_mhd(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

MHD stored energy history.

`plot_equilibrium_time_w_tot`

function source

plot_equilibrium_time_w_tot(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Total stored energy history.

`plot_field_line_topology_field_connection_length`

function source

plot_field_line_topology_field_connection_length(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Total connection length of every traced field line in one poloidal plane, on the rectangular grid they were launched from. The title names the toroidal angle the plane was traced at, because the IDS entry carries no toroidal coordinate and the map means nothing without it.

`plot_flux_loop_spatial_flux`

function source

plot_flux_loop_spatial_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Flux-loop flux against sensor position at one time (issue #486).

`plot_flux_loop_time_flux`

function source

plot_flux_loop_time_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Poloidal flux measured by each selected flux loop.

`plot_flux_loop_time_voltage`

function source

plot_flux_loop_time_voltage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Loop voltage measured by each selected flux loop.

`plot_gyrokinetics_overview`

function source

plot_gyrokinetics_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

One local gyrokinetic run: spectra, flux, eigenfunction and local state.

`plot_gyrokinetics_profile_eigenfunction`

function source

plot_gyrokinetics_profile_eigenfunction(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

phi eigenfunction of the most unstable leading mode against the poloidal angle.

`plot_gyrokinetics_spectrum_energy_flux`

function source

plot_gyrokinetics_spectrum_energy_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

ky-resolved energy flux per species (quasilinear or nonlinear, as the IDS records).

`plot_gyrokinetics_spectrum_frequency`

function source

plot_gyrokinetics_spectrum_frequency(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Linear real frequency against k_y with each IDS’s recorded sign convention.

`plot_gyrokinetics_spectrum_growth_rate`

function source

plot_gyrokinetics_spectrum_growth_rate(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Linear growth rate against k_y (GKDB normalisation), every eigenmode, entries overlaid.

`plot_gyrokinetics_spectrum_particle_flux`

function source

plot_gyrokinetics_spectrum_particle_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

ky-resolved particle flux per species.

`plot_impa_overview`

function source

plot_impa_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

IMPA validation overview: raw voltages, compensated Bz and the 1/R position check.

`plot_impa_profile_field`

function source

plot_impa_profile_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

IMPA measured field against probe radius with the 1/R toroidal-field model.

`plot_impa_time_field`

function source

plot_impa_time_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Compensated internal Bz from the IMPA Hall-probe array.

`plot_impa_time_voltage`

function source

plot_impa_time_voltage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Raw IMPA Hall-probe voltages, one trace per channel.

`plot_impurity_profile_charge_state_fraction`

function source

plot_impurity_profile_charge_state_fraction(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Charge-state fractions f_q(rho) of each impurity element from the slice’s T_e and n_e.

`plot_impurity_profile_composition`

function source

plot_impurity_profile_composition(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Radial Z_eff, mean charges, reduced impurity charge and dilution from the slice’s T_e and n_e through atomic-data charge states, for a stated elemental composition.

`plot_interferometer_overview`

function source

plot_interferometer_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Interferometer overview: line density history and spectrogram.

`plot_interferometer_spectrogram`

function source

plot_interferometer_spectrogram(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Time-frequency map of one interferometer channel’s line density.

`plot_interferometer_spectrum`

function source

plot_interferometer_spectrum(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Power spectral density of one interferometer channel’s line density.

`plot_interferometer_time_n_e_line`

function source

plot_interferometer_time_n_e_line(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Interferometer line-integrated electron density history.

`plot_ion_temperature_profile`

function source

plot_ion_temperature_profile(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Core ion temperature profile.

`plot_ion_temperature_profile_gradient`

function source

plot_ion_temperature_profile_gradient(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Normalized logarithmic gradient of the core ion temperature, -L d ln f/dx, with its abscissa, gradient coordinate and reference length stated (a/L by default).

`plot_kinetic_overview_profiles`

function source

plot_kinetic_overview_profiles(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Four local kinetic profiles with measurement and fit provenance.

`plot_kinetic_overview_state`

function source

plot_kinetic_overview_state(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

One matched kinetic state in four panels – pressure, density, temperature and Z_eff against rho_tor_norm – from stored core_profiles, the equilibrium of the same time and the Thomson channels mapped through it, each trace labelled by its recorded evidence role.

`plot_limiter_current_time`

function source

plot_limiter_current_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Three stacked VEST limiter-current histories (LC, UC and midplane).

`plot_machine_geometry3d`

function source

plot_machine_geometry3d(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Composed 3D machine scene: wall and boundary cuts, PF rings, 3D coils and diagnostics.

`plot_machine_geometry_poloidal`

function source

plot_machine_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Composed machine section: wall, coils, passive structure and diagnostics.

`plot_machine_geometry_topview`

function source

plot_machine_geometry_topview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Composed machine top view: plasma extent plus launcher, antenna and pellet-injector geometry.

`plot_magnetics_geometry_poloidal`

function source

plot_magnetics_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Flux-loop and B-field-probe positions in the poloidal plane.

`plot_magnetics_overview`

function source

plot_magnetics_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Shot diagnostic overview: current, field, flux and geometry panels.

`plot_magnetics_overview_impa`

functionDeprecatedDeprecated usage source

plot_magnetics_overview_impa(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_impa_overview (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_impa_overview`` (renamed by issue #251).

`plot_magnetics_overview_plasma_residual`

function source

plot_magnetics_overview_plasma_residual(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Eddy validation: the plasma signal left over after the vacuum response.

`plot_magnetics_overview_vacuum`

function source

plot_magnetics_overview_vacuum(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Eddy validation: measured against coil-only and coil+eddy synthetic magnetics.

`plot_magnetics_overview_vacuum_benchmark`

function source

plot_magnetics_overview_vacuum_benchmark(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-channel scores of the plasma-free vacuum benchmark (issue #190): eddy improvement against a zero reference, normalized residual and correlation, channels grouped and coloured by family, flagged probes hollow.

`plot_magnetics_profile_impa_tf`

functionDeprecatedDeprecated usage source

plot_magnetics_profile_impa_tf(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_impa_profile_field (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_impa_profile_field`` (renamed by issue #251).

`plot_magnetics_spectrogram_mirnov`

functionDeprecatedDeprecated usage source

plot_magnetics_spectrogram_mirnov(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_mirnov_spectrogram (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_mirnov_spectrogram`` (renamed by issue #251).

`plot_magnetics_spectrum_mirnov`

functionDeprecatedDeprecated usage source

plot_magnetics_spectrum_mirnov(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_mirnov_spectrum (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_mirnov_spectrum`` (renamed by issue #251).

`plot_magnetics_table_vacuum_benchmark`

function source

plot_magnetics_table_vacuum_benchmark(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The plasma-free vacuum benchmark of one shot (issue #190), one row per channel: family, kind, status (evaluated, flagged, excluded), eddy improvement, normalized residual, correlation, wall authority and the reason a channel is flagged or excluded; windows, solver history, coil drive and scored medians in the caption.

`plot_magnetics_table_vacuum_benchmark_aggregate`

function source

plot_magnetics_table_vacuum_benchmark_aggregate(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

The plasma-free vacuum benchmark across shots (issue #190): median eddy improvement, normalized residual and correlation and the worst channel by case, family, PF excitation and machine era; undriven cases, flagged channels and the summary in the caption.

`plot_magnetics_time_b_field_pol_probe_field`

functionDeprecatedDeprecated usage source

plot_magnetics_time_b_field_pol_probe_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_b_field_probe_time_field (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_b_field_probe_time_field`` (renamed by issue #251).

`plot_magnetics_time_diamagnetic_flux`

functionDeprecatedDeprecated usage source

plot_magnetics_time_diamagnetic_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_diamagnetic_flux_time (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_diamagnetic_flux_time`` (renamed by issue #251).

`plot_magnetics_time_flux_loop_flux`

functionDeprecatedDeprecated usage source

plot_magnetics_time_flux_loop_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_flux_loop_time_flux (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_flux_loop_time_flux`` (renamed by issue #251).

`plot_magnetics_time_flux_loop_voltage`

functionDeprecatedDeprecated usage source

plot_magnetics_time_flux_loop_voltage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_flux_loop_time_voltage (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_flux_loop_time_voltage`` (renamed by issue #251).

`plot_magnetics_time_impa_field`

functionDeprecatedDeprecated usage source

plot_magnetics_time_impa_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_impa_time_field (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_impa_time_field`` (renamed by issue #251).

`plot_magnetics_time_impa_voltage`

functionDeprecatedDeprecated usage source

plot_magnetics_time_impa_voltage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_impa_time_voltage (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_impa_time_voltage`` (renamed by issue #251).

`plot_magnetics_time_ip`

functionDeprecatedDeprecated usage source

plot_magnetics_time_ip(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_plasma_current_time (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_plasma_current_time`` (renamed by issue #251).

`plot_magnetics_time_limiter_current`

functionDeprecatedDeprecated usage source

plot_magnetics_time_limiter_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_limiter_current_time (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_limiter_current_time`` (renamed by issue #251).

`plot_magnetics_time_mirnov_voltage`

functionDeprecatedDeprecated usage source

plot_magnetics_time_mirnov_voltage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_mirnov_time_voltage (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_mirnov_time_voltage`` (renamed by issue #251).

`plot_mhd_linear_field_spectrum`

function source

plot_mhd_linear_field_spectrum(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Perturbed normal flux amplitude over the mapped (psi_N, m) grid: the radial label on the abscissa and the poloidal harmonic on the ordinate, which is why this map is not drawn to an equal aspect.

`plot_mhd_linear_geometry_island`

function source

plot_mhd_linear_geometry_island(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Saturated island separatrices in the poloidal plane at one toroidal angle, derived from the mapped perturbed flux and drawn on the run’s own flux-surface mesh; the island phase is GPEC’s arg(I_res).

`plot_mhd_linear_overview_eigenfunction`

function source

plot_mhd_linear_overview_eigenfunction(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Linear MHD stability: the least-stable mode’s eigenfunction in one figure.

`plot_mhd_linear_profile_b_field_perturbed`

function source

plot_mhd_linear_profile_b_field_perturbed(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Linear MHD stability: normal perturbed field per poloidal harmonic.

`plot_mhd_linear_profile_chirikov`

function source

plot_mhd_linear_profile_chirikov(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Island-overlap parameter per rational surface against normalized poloidal flux, in GPEC’s own surface definition, with the K = 1 criterion drawn; derived from the mapped perturbed flux.

`plot_mhd_linear_profile_displacement`

function source

plot_mhd_linear_profile_displacement(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Linear MHD stability: DCON displacement eigenfunction per poloidal harmonic.

`plot_mhd_linear_profile_island_width`

function source

plot_mhd_linear_profile_island_width(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Linear MHD stability: saturated island width per rational surface.

`plot_mhd_linear_profile_resonant_flux`

function source

plot_mhd_linear_profile_resonant_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Linear MHD stability: pitch-resonant flux per rational surface.

`plot_mhd_linear_spectrum_b_field_perturbed`

function source

plot_mhd_linear_spectrum_b_field_perturbed(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Perturbed normal flux amplitude against poloidal harmonic at one flux surface; the outermost mapped surface unless psi_n names another, and the title reports the surface actually drawn.

`plot_mhd_linear_time_energy_perturbed`

function source

plot_mhd_linear_time_energy_perturbed(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Linear MHD stability: DCON perturbed energy per toroidal mode against time.

`plot_mirnov_spatial_phase`

function source

plot_mirnov_spatial_phase(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Toroidal phase of each fluctuation band at one time, with the fitted n lines.

`plot_mirnov_spectrogram`

function source

plot_mirnov_spectrogram(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Time-frequency map of one Mirnov coil signal.

`plot_mirnov_spectrum`

function source

plot_mirnov_spectrum(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Power spectral density of one Mirnov coil signal.

`plot_mirnov_time_voltage`

function source

plot_mirnov_time_voltage(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Raw or preprocessed Mirnov coil voltage traces.

`plot_nbi_profile_current_drive`

function source

plot_nbi_profile_current_drive(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Beam-driven parallel current density against normalized toroidal flux.

`plot_nbi_profile_electron_heating`

function source

plot_nbi_profile_electron_heating(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Beam power density to electrons against normalized toroidal flux.

`plot_nbi_profile_ion_heating`

function source

plot_nbi_profile_ion_heating(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Beam power density to ions against normalized toroidal flux.

`plot_neoclassical_profile_bootstrap_current`

function source

plot_neoclassical_profile_bootstrap_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Bootstrap current density from each neoclassical model on one radial axis.

`plot_ntms_time_delta_prime`

function source

plot_ntms_time_delta_prime(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Classical tearing index per rational surface against time.

`plot_passive_structure_field_wall_reduction`

function source

plot_passive_structure_field_wall_reduction(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Full, reduced or difference wall flux map on the equilibrium region.

`plot_passive_structure_geometry_poloidal`

function source

plot_passive_structure_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Passive conducting-structure loop outlines in the poloidal plane.

`plot_passive_structure_geometry_wall_mode`

function source

plot_passive_structure_geometry_wall_mode(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

One segment-local wall eigenmode coloured onto the passive structure.

`plot_passive_structure_overview_wall_reduction`

function source

plot_passive_structure_overview_wall_reduction(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Reduced-wall response error against retained order (vaft #494).

`plot_passive_structure_overview_wall_time`

function source

plot_passive_structure_overview_wall_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Decay-time spectrum of the passive wall’s segment-wise eigenmodes.

`plot_passive_structure_time_current`

function source

plot_passive_structure_time_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Eddy current induced in the passive structure.

`plot_pf_active_geometry_poloidal`

functionDeprecatedDeprecated usage source

plot_pf_active_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_pf_coil_geometry_poloidal (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_pf_coil_geometry_poloidal`` (renamed by issue #251).

`plot_pf_active_time_current`

functionDeprecatedDeprecated usage source

plot_pf_active_time_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_pf_coil_time_current (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_pf_coil_time_current`` (renamed by issue #251).

`plot_pf_active_time_current_turns`

functionDeprecatedDeprecated usage source

plot_pf_active_time_current_turns(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_pf_coil_time_current_turns (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_pf_coil_time_current_turns`` (renamed by issue #251).

`plot_pf_coil_geometry_poloidal`

function source

plot_pf_coil_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

PF coil outlines in the poloidal plane.

`plot_pf_coil_time_current`

function source

plot_pf_coil_time_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-coil PF current history.

`plot_pf_coil_time_current_turns`

function source

plot_pf_coil_time_current_turns(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-coil PF current multiplied by the signed turn count (ampere-turns).

`plot_pf_passive_geometry_poloidal`

functionDeprecatedDeprecated usage source

plot_pf_passive_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_passive_structure_geometry_poloidal (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_passive_structure_geometry_poloidal`` (renamed by issue #251).

`plot_pf_plasma_geometry_poloidal`

function source

plot_pf_plasma_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

The plasma-current elements of pf_plasma coloured by current.

`plot_plasma_current_time`

function source

plot_plasma_current_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Measured plasma current history from the Rogowski coil.

`plot_rogowski_coil_time_current`

function source

plot_rogowski_coil_time_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Current measured by each Rogowski coil.

`plot_soft_x_rays_geometry_lines_of_sight`

function source

plot_soft_x_rays_geometry_lines_of_sight(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Soft X-ray detector lines of sight over the poloidal cross-section.

`plot_soft_x_rays_overview`

function source

plot_soft_x_rays_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Soft X-ray overview: lines of sight, signals and channel pattern.

`plot_soft_x_rays_spectrogram`

function source

plot_soft_x_rays_spectrogram(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Time-frequency map of one soft X-ray channel.

`plot_soft_x_rays_spectrum`

function source

plot_soft_x_rays_spectrum(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Power spectral density of one soft X-ray channel.

`plot_soft_x_rays_time_power`

function source

plot_soft_x_rays_time_power(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Soft X-ray channel signal history.

`plot_spectrometer_uv_time_impurity`

function source

plot_spectrometer_uv_time_impurity(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Impurity line-intensity panels against plasma current.

`plot_spectrometer_uv_time_intensity`

function source

plot_spectrometer_uv_time_intensity(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Processed spectral line intensity history.

`plot_startup_proxies_time`

function source

plot_startup_proxies_time(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Vacuum B_Z, loop voltage and decay index at one (R, Z) point against time (rz=), from the OH-coil onset to the plasma-current peak, every entry overlaid with its breakdown onset marked (issue #888).

`plot_summary_time_beta`

functionDeprecatedDeprecated usage source

plot_summary_time_beta(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_equilibrium_time_beta (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_equilibrium_time_beta`` (renamed by issue #251).

`plot_summary_time_energy`

function source

plot_summary_time_energy(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Stored-energy comparison panels across available estimates.

`plot_summary_time_estimated_q95`

function source

plot_summary_time_estimated_q95(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

q95 estimated from global shape, I_p and B_T (START scaling by default, from vest.yaml), the equilibrium q95 overlaid; works without an equilibrium (issue #1583).

`plot_summary_time_normalized_current`

function source

plot_summary_time_normalized_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Normalised current I_N = I_p[MA]/(a B_T) against time, from the same shape as the edge-q estimates (issue #1583).

`plot_summary_time_power_balance`

function source

plot_summary_time_power_balance(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Ohmic input, radiated and conducted power balance panels.

`plot_summary_time_q_star_cylindrical`

function source

plot_summary_time_q_star_cylindrical(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Menard’s cylindrical safety factor q* = pi a^2 B_T (1 + kappa^2)/(mu0 R I_p) against time; a shape-weighted proxy, not q95 or q_a (issue #1583).

`plot_summary_time_q_star_kink`

function source

plot_summary_time_q_star_kink(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Freidberg’s kink safety factor q* = 2 pi a^2 kappa B_T/(mu0 R I_p) against time; not q95 or q_a (issue #1583).

`plot_summary_time_resistive_zeff`

function source

plot_summary_time_resistive_zeff(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Resistive Z_eff history: Romero voltages, observed vs model R_p, window estimate.

`plot_summary_time_romero_balance`

function source

plot_summary_time_romero_balance(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Romero’s voltage and volt-second balance: V_B, V_I, V_C (and V_R with a given R_p), Phi_B against the direct flux change, L_i and the closing resistance.

`plot_summary_time_voltage_consumption`

function source

plot_summary_time_voltage_consumption(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Loop-voltage and flux-consumption panels.

`plot_tf_coil_time_b_t`

function source

plot_tf_coil_time_b_t(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Toroidal field history at the reference radius.

`plot_tf_coil_time_b_t_vacuum_r`

function source

plot_tf_coil_time_b_t_vacuum_r(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Vacuum toroidal field times major radius (B_t * R).

`plot_tf_coil_time_current`

function source

plot_tf_coil_time_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

TF coil current history.

`plot_tf_time_b_field_tor`

functionDeprecatedDeprecated usage source

plot_tf_time_b_field_tor(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_tf_coil_time_b_t (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_tf_coil_time_b_t`` (renamed by issue #251).

`plot_tf_time_b_field_tor_vacuum_r`

functionDeprecatedDeprecated usage source

plot_tf_time_b_field_tor_vacuum_r(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_tf_coil_time_b_t_vacuum_r (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_tf_coil_time_b_t_vacuum_r`` (renamed by issue #251).

`plot_tf_time_coil_current`

functionDeprecatedDeprecated usage source

plot_tf_time_coil_current(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

Deprecated alias of plot_tf_coil_time_current (renamed by issue #251).

Deprecated: Deprecated alias of ``plot_tf_coil_time_current`` (renamed by issue #251).

`plot_thermal_pressure_profile`

function source

plot_thermal_pressure_profile(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Core total pressure profile.

`plot_thomson_scattering_geometry_poloidal`

function source

plot_thomson_scattering_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Thomson-scattering measurement positions in the poloidal plane.

`plot_thomson_scattering_profile_electron_density`

function source

plot_thomson_scattering_profile_electron_density(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Thomson-scattering electron density versus position.

`plot_thomson_scattering_profile_electron_temperature`

function source

plot_thomson_scattering_profile_electron_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Thomson-scattering electron temperature versus position.

`plot_thomson_scattering_profile_fit`

function source

plot_thomson_scattering_profile_fit(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Thomson T_e or n_e (field=te

ne) at one time: channels with error bars, refused channels hollow, and the fit through them on psi_N, rho_N or R, mapped through the ODS’s own or a given equilibrium (issue #952).

`plot_thomson_scattering_time_electron_density`

function source

plot_thomson_scattering_time_electron_density(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-channel Thomson electron density history.

`plot_thomson_scattering_time_electron_temperature`

function source

plot_thomson_scattering_time_electron_temperature(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Per-channel Thomson electron temperature history.

`plot_turbulent_transport_overview`

function source

plot_turbulent_transport_overview(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Turbulent energy and particle flux profiles side by side.

`plot_turbulent_transport_profile_energy_flux`

function source

plot_turbulent_transport_profile_energy_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Turbulent electron and ion energy flux against rho_tor_norm.

`plot_turbulent_transport_profile_particle_flux`

function source

plot_turbulent_transport_profile_particle_flux(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Turbulent electron and ion particle flux against rho_tor_norm.

`plot_vacuum_field`

function source

plot_vacuum_field(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> tuple[Any, Any]

One quantity of the coils’ and vessel’s vacuum field, at one instant.

`plot_vacuum_field_midplane`

function source

plot_vacuum_field_midplane(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

One vacuum startup quantity along the Z = 0 row of the vacuum map – loop voltage, B_Z, the breakdown figure with its Ohmic and ECH-assisted thresholds, the Lloyd margin or the connection length – with the ECR radius, chosen with field=.

`plot_wall_geometry_poloidal`

function source

plot_wall_geometry_poloidal(source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

First-wall and limiter outline in the poloidal plane.

`render`

function source

render(name: str, source: Any, *, ax: Any = None, show: bool = False, label: str | Sequence[str] = 'shot', **options: Any) -> Any

Build the view model for name from source and render it.

vaft.omas.process_wrapper

`ALPHA_METHODS`

data

ALPHA_METHODS = ('volume', 'kappa', 'annulus', 'annulus_thin')

Also exported as vaft.omas.ALPHA_METHODS.

`camera_projection_for`

function source

camera_projection_for(shot: int, *, pose_path: str | Path | None = None, intrinsics_path: str | Path | None = None) -> CameraProjection

The calibrated FAST-camera projection packaged for shot.

Also exported as vaft.omas.camera_projection_for.

`clear_vacuum_field_cache`

function source

clear_vacuum_field_cache() -> None

Release the cached vacuum response matrices and eddy solves.

Also exported as vaft.omas.clear_vacuum_field_cache.

`COINCIDENT_SOURCE_TOL`

data

COINCIDENT_SOURCE_TOL = 1e-06

Also exported as vaft.omas.COINCIDENT_SOURCE_TOL.

`compute_camera_visible_efit_overlay`

function source

compute_camera_visible_efit_overlay(ods: Any, shot: int, *, channel: int = 0, detector: int = 0, frame_index: int | None = None, frame_time: float | None = None, theta_deg_range: tuple[float, float] = (-90.0, 90.0), n_theta: int = 181, flux_surface_levels: tuple[float, ...] = (0.25, 0.5, 0.75, 0.95), pose_path: str | Path | None = None, intrinsics_path: str | Path | None = None, projection: CameraProjection | None = None) -> dict[str, Any]

Project equilibrium/wall geometry into FAST-camera pixel space for one frame.

Also exported as vaft.omas.compute_camera_visible_efit_overlay.

`compute_camera_visible_field_line_overlay`

function source

compute_camera_visible_field_line_overlay(ods: Any, shot: int, *, r0: float, z0: float, phi0: float = 0.0, channel: int = 0, detector: int = 0, frame_index: int | None = None, frame_time: float | None = None, dphi_deg: float = 1.0, max_length_m: float = 50.0, direction: str = 'forward', use_wall_boundary: bool = True, pose_path: str | Path | None = None, intrinsics_path: str | Path | None = None, projection: CameraProjection | None = None) -> dict[str, Any]

Project a traced magnetic field line into FAST-camera pixel space for one frame.

Also exported as vaft.omas.compute_camera_visible_field_line_overlay.

`compute_camera_visible_vacuum_field_lines`

function source

compute_camera_visible_vacuum_field_lines(ods: ODS, *, shot: int, time: float, seeds, resolution: int = 65, phi0: float = 0.0, dphi_deg: float = 1.0, max_length_m: float = 30.0, max_turns: Optional[float] = None, pose_path: Optional[str] = None, intrinsics_path: Optional[str] = None, projection: Any = None, image_size: Optional[Tuple[int, int]] = None) -> List[Dict[str, Any]]

Vacuum field lines from (R, Z) seeds, projected into FAST-camera pixels.

Also exported as vaft.omas.compute_camera_visible_vacuum_field_lines.

`compute_connection_length_map_ods`

function source

compute_connection_length_map_ods(ods: ODS, *, time: float, resolution: int = 33, dphi_deg: float = 2.0, max_length_m: float = 150.0) -> Dict[str, ndarray]

Connection length over the vacuum field’s grid, at one instant.

Also exported as vaft.omas.compute_connection_length_map_ods.

`compute_core_profile_2d`

function source

compute_core_profile_2d(ods: ODS, option: str = 'n_e', time_slice: Optional[int] = None) -> Tuple[ndarray, ndarray, ndarray, ndarray, float]

Compute core profile in 2D (R,Z) coordinate system.

Also exported as vaft.omas.compute_core_profile_2d.

`compute_core_profile_psi`

function source

compute_core_profile_psi(ods: ODS, option: str = 'n_e', time_slice: Optional[int] = None) -> Tuple[ndarray, ndarray, ndarray]

Compute core profile in psi_norm coordinate system.

Also exported as vaft.omas.compute_core_profile_psi.

`compute_decay_index_ods`

function source

compute_decay_index_ods(ods: ODS, time: float, z: float = 0.0, r_range: Tuple[float, float] = (0.25, 0.65), n_points: int = 41, mode: str = 'vacuum') -> Tuple[ndarray, ndarray]

Field decay index along a radial line at one instant.

Also exported as vaft.omas.compute_decay_index_ods.

`compute_diamagnetic_flux_measured_vs_computed`

function source

compute_diamagnetic_flux_measured_vs_computed(ods: ODS, time_slice: Optional[int] = None) -> Dict[int, Dict[str, float]]

Compare measured vs reconstructed diamagnetic flux at equilibrium time slices.

Also exported as vaft.omas.compute_diamagnetic_flux_measured_vs_computed.

`compute_diamagnetism`

function source

compute_diamagnetism(ods, time_index=0)

Compute diamagnetism μ_i from ODS using the volume-integral definition.

Also exported as vaft.omas.compute_diamagnetism.

`compute_eddy_currents`

function source

compute_eddy_currents(ods: ODS, plasma: List[Tuple[float, float]], ip: List[ndarray], dt_sub: float = 5e-05) -> None

Solve eddy currents in passive loops using precomputed impedance matrices.

Also exported as vaft.omas.compute_eddy_currents.

`compute_ejiri_mirror_proxy_ods`

function source

compute_ejiri_mirror_proxy_ods(ods: ODS, *, time: float, r_start: float, resolution: int = 65, z_fit: Optional[float] = None, dphi_deg: float = 1.0, max_length_m: float = 150.0) -> Dict[str, Any]

Ejiri mirror-confinement proxy in the vacuum field, at one instant.

Also exported as vaft.omas.compute_ejiri_mirror_proxy_ods.

`compute_field_line_trace`

function source

compute_field_line_trace(ods: Any, *, r0: float, z0: float, phi0: float = 0.0, time: float | None = None, time_index: int | None = None, dphi_deg: float = 1.0, max_length_m: float = 50.0, direction: str = 'forward', use_wall_boundary: bool = True) -> dict[str, Any]

Trace a magnetic field line from (r0, z0, phi0) using an equilibrium time slice.

Also exported as vaft.omas.compute_field_line_trace.

`compute_grad_shafranov_residual`

function source

compute_grad_shafranov_residual(ods: Any, *, time_slice: int = 0, n_surfaces: int = 32, psi_norm_max: float = 0.99)

How well one stored equilibrium satisfies its own Grad-Shafranov equation.

Also exported as vaft.omas.compute_grad_shafranov_residual.

`compute_grid_ods`

function source

compute_grid_ods(ods: Dict[str, Any], xvar: List[float], zvar: List[float]) -> Tuple[ndarray, ndarray, ndarray]

Green’s-function response of an (R, Z) grid to every coil and loop.

Also exported as vaft.omas.compute_grid_ods.

`compute_grid_response_ods`

function source

compute_grid_response_ods(ods: ODS, plasma: List[List[float]] = None) -> ndarray

Compute Green’s function response matrix (Psi) on equilibrium 2D grid.

Also exported as vaft.omas.compute_grid_response_ods.

`compute_impedance_matrices_ods`

function source

compute_impedance_matrices_ods(ods: ODS, plasma: List[Tuple[float, float]]) -> Tuple[ndarray, ndarray, ndarray]

Compute R, L, M matrices for eddy current calculations.

Also exported as vaft.omas.compute_impedance_matrices_ods.

`compute_magnetic_energy`

function source

compute_magnetic_energy(ods: ODS, time_slice: Optional[int] = None, *, components: str = 'total', write_fields: bool = False, toroidal_field: str = 'vacuum') -> float

Magnetic field energy inside the last closed flux surface, by component.

Also exported as vaft.omas.compute_magnetic_energy.

`compute_null_ods`

function source

compute_null_ods(ods, time)

Compute poloidal flux (psi) on grid at given time using coil and eddy currents.

Also exported as vaft.omas.compute_null_ods.

`compute_ohmic_heating_power_from_core_profiles`

functionDeprecated usage source

compute_ohmic_heating_power_from_core_profiles(ods: ODS, time_slice: Optional[int] = None, Z_eff: Optional[float] = None, ln_Lambda: Optional[float] = None) -> float

Compute ohmic heating power from core profiles.

Also exported as vaft.omas.compute_ohmic_heating_power_from_core_profiles.

`compute_parallel_current_from_toroidal`

function source

compute_parallel_current_from_toroidal(ods, shell_current_tor, rho_tor_norm, *, time_index: int = 0, b0: Optional[float] = None)

Convert a shell toroidal driven current using an equilibrium in ods.

Also exported as vaft.omas.compute_parallel_current_from_toroidal.

`compute_point_response_matrices_ods`

function source

compute_point_response_matrices_ods(ods: ODS, rz: List[List[float]], plasma_points: Optional[List[List[float]]] = None, components: Tuple[str, ...] = ('psi', 'bz', 'br')) -> Tuple[ndarray, ...]

Vectorized, exact-elliptic (Psi, Bz, Br) response matrices from an ODS.

Also exported as vaft.omas.compute_point_response_matrices_ods.

`compute_point_response_ods`

function source

compute_point_response_ods(ods: ODS, rz: List[List[float]], plasma: List[List[float]] = None) -> Tuple[ndarray, ndarray, ndarray]

ODS wrapper for computing response matrix (Psi, Bz, Br).

Also exported as vaft.omas.compute_point_response_ods.

`compute_point_vacuum_fields_ods`

function source

compute_point_vacuum_fields_ods(ods: ODS, rz: List[Tuple[float, float]] = [(0.4, 0.0)], plot_opt: bool = False, mode: str = 'vacuum') -> Tuple[ndarray, ndarray, ndarray, ndarray]

Compute vacuum fields at observation points.

Also exported as vaft.omas.compute_point_vacuum_fields_ods.

`compute_prefill_pressure_ods`

function source

compute_prefill_pressure_ods(ods: ODS, *, before: float, window_s: float = 0.02) -> float

The fill pressure a breakdown saw, from the barometry, in pascal.

Also exported as vaft.omas.compute_prefill_pressure_ods.

`compute_reconstructed_diamagnetic_flux`

function source

compute_reconstructed_diamagnetic_flux(ods, time_index=0)

Compute reconstructed diamagnetic flux (CDFLUX) from ODS.

Also exported as vaft.omas.compute_reconstructed_diamagnetic_flux.

`compute_romero_flux_balance_ods`

function source

compute_romero_flux_balance_ods(ods: ODS, *, R_p, I_ni, time_range: Optional[Tuple[float, float]] = None) -> Dict[str, Any]

Romero’s voltage and volt-second balance over the equilibrium slices of a shot.

Also exported as vaft.omas.compute_romero_flux_balance_ods.

`compute_startup_loop_voltage_ods`

function source

compute_startup_loop_voltage_ods(ods: ODS, rz: Tuple[float, float] = (0.4, 0.0), mode: str = 'vacuum') -> Tuple[ndarray, ndarray]

Loop voltage at one point, from the vacuum flux it sees.

Also exported as vaft.omas.compute_startup_loop_voltage_ods.

`compute_startup_proxies_ods`

function source

compute_startup_proxies_ods(ods: ODS, *, rz: Tuple[float, float] = (0.4, 0.0), dr: float = 0.01, mode: str = 'vacuum') -> Dict[str, Any]

Vertical field, loop voltage and decay index at one point, over the whole PF time base.

Also exported as vaft.omas.compute_startup_proxies_ods.

`compute_vacuum_field_map`

function source

compute_vacuum_field_map(ods: ODS, *, time: float, grid: Optional[Tuple[ndarray, ndarray]] = None, resolution: int = 65) -> Dict[str, ndarray]

Vacuum flux and poloidal field on an (R, Z) grid at one time.

Also exported as vaft.omas.compute_vacuum_field_map.

`compute_vacuum_midplane_profiles_ods`

function source

compute_vacuum_midplane_profiles_ods(ods: ODS, *, time: float, z: float = 0.0, resolution: int = 65, p_Pa: Optional[float] = None, ec_frequency_Hz: float = 2450000000.0, dphi_deg: float = 2.0, max_length_m: float = 150.0, trace_connection_length: bool = True) -> Dict[str, Any]

Radial profiles of the vacuum startup quantities along one row of the vacuum map.

Also exported as vaft.omas.compute_vacuum_midplane_profiles_ods.

`compute_virial_equilibrium_quantities_ods`

function source

compute_virial_equilibrium_quantities_ods(ods: ODS, time_slice: Optional[int] = None, alpha_method: str = 'volume', annulus_thickness: float = 0.1) -> Dict[str, Any]

Compute Shafranov/virial equilibrium quantities from an arbitrary equilibrium.

Also exported as vaft.omas.compute_virial_equilibrium_quantities_ods.

`compute_volume_averaged_pressure`

function source

compute_volume_averaged_pressure(ods: ODS, time_slice: Optional[int] = None, option: str = 'equilibrium') -> np.ndarray

Compute volume-averaged pressure for equilibrium time slices.

Also exported as vaft.omas.compute_volume_averaged_pressure.

`compute_wall_mode_basis_ods`

function source

compute_wall_mode_basis_ods(ods: ODS, *, gap_factor: float | None = None, record: bool = False, remap_em_coupling: bool = False, **options: Any)

Segment-wise wall eigenmode basis of this ODS’s passive structure (vaft #473).

Also exported as vaft.omas.compute_wall_mode_basis_ods.

`DT_SUB`

data

DT_SUB = 5e-05

Also exported as vaft.omas.DT_SUB.

`EC_FREQUENCY_VEST_HZ`

data

EC_FREQUENCY_VEST_HZ = 2450000000.0

Also exported as vaft.omas.EC_FREQUENCY_VEST_HZ.

`ensure_em_coupling`

function source

ensure_em_coupling(ods: ODS) -> None

Populate em_coupling from the packaged asset when it is absent.

Also exported as vaft.omas.ensure_em_coupling.

`GEOMETRY_TYPE_POLYGON`

data

GEOMETRY_TYPE_POLYGON = 1

Also exported as vaft.omas.GEOMETRY_TYPE_POLYGON.

`GEOMETRY_TYPE_RECTANGLE`

data

GEOMETRY_TYPE_RECTANGLE = 2

Also exported as vaft.omas.GEOMETRY_TYPE_RECTANGLE.

`PREFILL_WINDOW_S`

data

PREFILL_WINDOW_S = 0.02

Also exported as vaft.omas.PREFILL_WINDOW_S.

vaft.omas.reference

Reference-manifest loading and checksum verification utilities.

`ArtifactVerification`

class source

ArtifactVerification(artifact_id: str, path: str, storage: str, status: str, expected_size: int | None, actual_size: int | None, expected_sha256: str, actual_sha256: str | None) -> None

Checksum verification result for one reference artifact.

Also exported as vaft.omas.ArtifactVerification.

8 fields · 2 members

artifact_id: str
path: str
storage: str
status: str
expected_size: int | None
actual_size: int | None
expected_sha256: str
actual_sha256: str | None
valid property source
to_dict method source

`load_reference_manifest`

function source

load_reference_manifest(source: str | Path) -> dict[str, Any]

Load and minimally validate a VEST reference manifest.

Also exported as vaft.omas.load_reference_manifest.

`ReferenceManifestError`

class source

Raised when a reference manifest does not satisfy schema version 1.

Also exported as vaft.omas.ReferenceManifestError.

`sha256_file`

function source

sha256_file(path: str | Path, *, chunk_size: int = 1048576) -> str

Return a streaming SHA-256 checksum for a local artifact.

Also exported as vaft.omas.sha256_file.

`verify_reference_artifacts`

function source

verify_reference_artifacts(manifest_source: str | Path, *, root: str | Path | None = None, storage: Iterable[str] = ('repository',)) -> tuple[ArtifactVerification, ...]

Verify selected manifest artifacts without accessing remote systems.

Also exported as vaft.omas.verify_reference_artifacts.

vaft.omas.resistive_zeff

ODS adapters for the resistive effective charge (issue #1214).

`compute_resistive_zeff_ods`

function source

compute_resistive_zeff_ods(ods: Any, *, time_range: Optional[Tuple[float, float]], model: str, ln_lambda, bounds: Tuple[float, float], I_ni, smoothing, time_tolerance_s: float = 5e-05) -> dict

Observed resistance, window Z_eff and its per-slice diagnostic for one ODS.

`current_carrying_window`

function source

current_carrying_window(ods: Any, *, min_current_fraction: float = 0.05) -> Tuple[float, float]

The longest run of consecutive slices carrying current, as (t0, t1).

`detected_psi_per_radian`

function source

detected_psi_per_radian(ods: Any, time_index: int) -> Optional[bool]

Whether the stored psi is per radian, as detected – None if undecided.

`flux_surface_state_ods`

function source

flux_surface_state_ods(ods: Any, *, time_slice: int, bootstrap: str = 'none', bootstrap_z_eff: Optional[float] = None, time_tolerance_s: float = 5e-05, gs_tolerance: float = 0.1, source: Optional[dict] = None) -> FluxSurfaceState

One paired equilibrium / core_profiles slice as a FluxSurfaceState.

`romero_boundary_flux_ods`

function source

romero_boundary_flux_ods(ods: Any, *, time_range: Optional[Tuple[float, float]], source: Optional[dict] = None) -> RomeroBoundaryFlux

Romero boundary flux, current and li_3 of the slices in time_range.

vaft.omas.sample

`sample_equilibria`

function source

sample_equilibria(shot=48224)

Load the labelled equilibria a packaged sample carries beside its ODS.

Also exported as vaft.omas.sample_equilibria.

`sample_gfile`

function source

sample_gfile()

Load the historical packaged sample g-file as a VAFT GEQDSK object.

Also exported as vaft.omas.sample_gfile.

`sample_ods`

function source

sample_ods(shot=39915)

Load a packaged VEST reference sample as an OMAS ODS.

Also exported as vaft.omas.sample_ods.

vaft.omas.shot_class

What kind of shot a product records, decided from the shared timing (issue #409).

`CLASS_BD_FAILURE`

data

CLASS_BD_FAILURE = 'BD failure'

`CLASS_PLASMA`

data

CLASS_PLASMA = 'Plasma'

`CLASS_VACUUM`

data

CLASS_VACUUM = 'Vacuum'

`DECIDED_IP_PULSE`

data

DECIDED_IP_PULSE = 'ip_pulse'

`DECIDED_NONE`

data

DECIDED_NONE = 'none'

`DECIDED_OPTICAL_WINDOW`

data

DECIDED_OPTICAL_WINDOW = 'optical_window'

`DECIDED_PRESSURE`

data

DECIDED_PRESSURE = 'pressure_response'

`MIN_PLASMA_CURRENT_A`

data

MIN_PLASMA_CURRENT_A = 2000.0

`PRESSURE_BASE`

data

PRESSURE_BASE = 'barometry.gauge.0.pressure'

`pressure_response`

function source

pressure_response(ods: Any, *, var_ratio_thresh: float = 0.01) -> bool | None

Whether the barometry pressure responded, or None when the product carries none.

`shot_class`

function source

shot_class(ods: Any, *, timing: PlasmaTiming | None = None, policy: PlasmaTimingPolicy | None = None, pressure_threshold: float = 0.01, min_plasma_current: float = 2000.0) -> ShotClass

Classify a shot from the shared timing and the gas response.

`ShotClass`

class source

ShotClass(label: str, decided_by: str, ip_pulse: bool, optical_window: bool, pressure_active: bool | None, timing: PlasmaTiming, flags: tuple[str, ...], reason: str) -> None

The class of one shot and the check that decided it.

8 fields · 2 members

label: str
decided_by: str
ip_pulse: bool
optical_window: bool
pressure_active: bool | None
timing: PlasmaTiming
flags: tuple[str, ...]
reason: str
summary method source
record method source

vaft.omas.startup_summary

One discharge’s startup, as a handful of numbers (issue #888).

`NULL_FIELD_THRESHOLD_T`

data

NULL_FIELD_THRESHOLD_T = 0.0005

Also exported as vaft.omas.NULL_FIELD_THRESHOLD_T.

`startup_summary`

function source

startup_summary(ods: Any, *, reference_rz: tuple[float, float] = (0.4, 0.0), ec_frequency_Hz: float = 2450000000.0, resolution: int = 33) -> dict[str, Any]

The startup of one discharge, summarised at its breakdown onset.

Also exported as vaft.omas.startup_summary.

vaft.omas.update

Update derived quantities for the ods data structure.

`resolve_reference_major_radius`

function source

resolve_reference_major_radius(ods, time_slice_node=None) -> float

R_0 for the DD global quantities, cross-checked against the TF IDS.

Also exported as vaft.omas.resolve_reference_major_radius.

`update_core_profiles_global_quantities_volume_average`

function source

update_core_profiles_global_quantities_volume_average(ods, time_slice=None)

Update core_profiles global quantities with volume-averaged n_e, T_e, and ion n_i, T_i. The function matches core_profiles time indices to equilibrium time slices by finding the closest matching time values.

Also exported as vaft.omas.update_core_profiles_global_quantities_volume_average.

`update_equilibrium_boundary`

function source

update_equilibrium_boundary(ods, time_slice=None)

Update geometric axis for all time slices.

Also exported as vaft.omas.update_equilibrium_boundary.

`update_equilibrium_constraints_diamagnetic_flux`

function source

update_equilibrium_constraints_diamagnetic_flux(ods, time_slice=None)

Update equilibrium constraints with diamagnetic flux (measured and reconstructed).

Also exported as vaft.omas.update_equilibrium_constraints_diamagnetic_flux.

`update_equilibrium_coordinates`

function source

update_equilibrium_coordinates(ods, time_slice=None, plot_opt=0)

Main entry point for updating all equilibrium coordinates. Updates normalized psi and radial coordinates for all time slices.

Also exported as vaft.omas.update_equilibrium_coordinates.

`update_equilibrium_derived_profiles`

function source

update_equilibrium_derived_profiles(ods, time_slice=None)

Derive every flux-surface quantity an EFIT-sourced ODS omits, in order.

Also exported as vaft.omas.update_equilibrium_derived_profiles.

`update_equilibrium_global_quantities_area`

function source

update_equilibrium_global_quantities_area(ods, time_slice=None)

Update global_quantities.area from the edge of profiles_1d.area.

Also exported as vaft.omas.update_equilibrium_global_quantities_area.

`update_equilibrium_global_quantities_beta_li`

function source

update_equilibrium_global_quantities_beta_li(ods, time_slice=None, *, surfaces=None)

Derive beta_pol, beta_tor, beta_normal, li_3 and length_pol.

Also exported as vaft.omas.update_equilibrium_global_quantities_beta_li.

`update_equilibrium_global_quantities_q_min`

function source

update_equilibrium_global_quantities_q_min(ods, time_slice=None)

Update q_min for all time slices using min() of profiles_1d.q

Also exported as vaft.omas.update_equilibrium_global_quantities_q_min.

`update_equilibrium_global_quantities_volume`

function source

update_equilibrium_global_quantities_volume(ods, time_slice=None)

Update volume for all time slices using profiles_1d.volume

Also exported as vaft.omas.update_equilibrium_global_quantities_volume.

`update_equilibrium_profiles_1d_geometry`

function source

update_equilibrium_profiles_1d_geometry(ods, time_slice=None, *, return_surfaces=False)

Derive the flux-surface geometry profiles by tracing the 2-D psi map.

Also exported as vaft.omas.update_equilibrium_profiles_1d_geometry.

`update_equilibrium_profiles_1d_j_tor`

function source

update_equilibrium_profiles_1d_j_tor(ods, time_slice=None)

Derive the flux-surface-averaged toroidal current density (issue #290).

Also exported as vaft.omas.update_equilibrium_profiles_1d_j_tor.

`update_equilibrium_profiles_1d_normalized_psi`

function source

update_equilibrium_profiles_1d_normalized_psi(ods, time_slice=None)

Update normalized poloidal flux (psi_norm) for all time slices.

Also exported as vaft.omas.update_equilibrium_profiles_1d_normalized_psi.

`update_equilibrium_profiles_1d_radial_coordinates`

function source

update_equilibrium_profiles_1d_radial_coordinates(ods, time_slice=None, plot_opt=0)

Update radial coordinates for all time slices using 2D psi mapping.

Also exported as vaft.omas.update_equilibrium_profiles_1d_radial_coordinates.

`update_equilibrium_profiles_1d_toroidal_flux`

function source

update_equilibrium_profiles_1d_toroidal_flux(ods, time_slice=None)

Derive profiles_1d phi, rho_tor and rho_tor_norm from q.

Also exported as vaft.omas.update_equilibrium_profiles_1d_toroidal_flux.

`update_equilibrium_profiles_2d_b_field`

function source

update_equilibrium_profiles_2d_b_field(ods, time_slice=None)

Write B_R, B_Z and B_phi on the 2-D grid (issue #483).

Also exported as vaft.omas.update_equilibrium_profiles_2d_b_field.

`update_equilibrium_profiles_2d_j_tor`

function source

update_equilibrium_profiles_2d_j_tor(ods, time_slice=None)

Evaluate the local toroidal current density on the 2-D grid.

Also exported as vaft.omas.update_equilibrium_profiles_2d_j_tor.

`update_equilibrium_profiles_2d_sfl_coordinates`

function source

update_equilibrium_profiles_2d_sfl_coordinates(ods, time_slice=None, profiles_2d_idx=1, convention='sfl', n_theta=129, plot_opt=0)

Update Straight Field Line (SFL) coordinates for profiles_2d entries.

Also exported as vaft.omas.update_equilibrium_profiles_2d_sfl_coordinates.

`update_equilibrium_stored_energy`

function source

update_equilibrium_stored_energy(ods, time_slice=None)

Update stored energy for all time slices. [ref. omas.physics_equilibrium_stored_energy]

Also exported as vaft.omas.update_equilibrium_stored_energy.

vaft.omas.vacuum_magnetics

Synthetic vacuum magnetics and plasma-residual QA for the eddy stage.

`channel_residual_metrics`

function source

channel_residual_metrics(channel: VacuumChannel, *, window: tuple[float, float] | None = None, min_samples: int = 2) -> dict[str, Any]

Measured-versus-model agreement for one channel over one interval.

`DEFAULT_MIN_WALL_AUTHORITY`

data

DEFAULT_MIN_WALL_AUTHORITY = 0.1

`eddy_improvement`

function source

eddy_improvement(coil_residual: np.ndarray, residual: np.ndarray, window: np.ndarray) -> float

1 - RMS(measured - coil+eddy) / RMS(measured - coil) over window.

`evaluation_mask`

function source

evaluation_mask(channel: VacuumChannel, window: tuple[float, float] | None) -> np.ndarray

Which samples of channel a comparison may actually use.

`plasma_free_boundary`

function source

plasma_free_boundary(timing: PlasmaTiming) -> tuple[float, str]

Before which time no plasma is present, and which source says so.

`plasma_free_residual`

function source

plasma_free_residual(channels: Sequence[VacuumChannel], window: tuple[float, float] | None = None, *, gate: QualityGate, normalize: bool = False) -> np.ndarray

Stack measured - coil_eddy over the usable samples of every channel.

`plasma_onset_time`

function source

plasma_onset_time(ods: Any) -> float

The time before which the eddy stage validates: plasma_free_boundary.

`plasma_window`

function source

plasma_window(ods: Any) -> PlasmaTiming

The plasma window the eddy stage validates against, with its provenance.

`probe_family`

function source

probe_family(kind: str, r: float, z: float) -> str

The EFIT-submitted family a channel at (r, z) belongs to.

`quality_gate`

function source

quality_gate(ods: Any, *, window: tuple[float, float] | None = None, report: Sequence[Any] | None = None, config: Any | None = None, min_validity: int = 0) -> tuple[Any, QualityGate]

Assess the magnetics, project the verdict, and say what it excluded.

`QualityGate`

class source

QualityGate(assessed: int, window: tuple[float, float] | None, excluded: tuple[str, ...], partially_masked: tuple[str, ...], reasons: Mapping[str, tuple[str, ...]], config: Mapping[str, Any], validity_source: str) -> None

What the diagnostics-stage assessment excluded before a fit saw the data.

7 fields · 2 members

assessed: int
window: tuple[float, float] | None
excluded: tuple[str, ...]
partially_masked: tuple[str, ...]
reasons: Mapping[str, tuple[str, ...]]
config: Mapping[str, Any]
validity_source: str
check method — Refuse a channel set that still carries what the gate excluded. source
record method source

`residual_onset`

function source

residual_onset(time: np.ndarray, residual: np.ndarray, window: np.ndarray, *, sigma: float = 5.0) -> float

First time after window where residual leaves its noise band.

`residual_rms`

function source

residual_rms(residual: np.ndarray, window: np.ndarray) -> float

RMS of residual over the boolean window.

`select_vacuum_channels`

function source

select_vacuum_channels(ods: Any, *, per_family: int | None = 2, channels: Sequence[tuple[str, int]] | None = None, window: tuple[float, float] | None = None, min_validity: int = 0) -> list[dict[str, Any]]

Choose the magnetic channels to validate, grouped by EFIT family.

`synthetic_vacuum_magnetics`

function source

synthetic_vacuum_magnetics(ods: Any, *, per_family: int | None = 2, channels: Sequence[tuple[str, int]] | None = None, window: tuple[float, float] | None = None, validity_window: tuple[float, float] | None = None, min_validity: int = 0, response: tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray] | None = None) -> tuple[VacuumChannel, ...]

Forward-model the coil and coil+eddy response at selected magnetics.

`vacuum_magnetics_metrics`

function source

vacuum_magnetics_metrics(channels: Iterable[VacuumChannel], *, plasma_onset: float, plasma_current: tuple[np.ndarray, np.ndarray] | None = None, sigma: float = 5.0, min_wall_authority: float = 0.0, timing: PlasmaTiming | None = None) -> dict[str, Any]

Quantitative QA for one shot’s vacuum-magnetics validation.

`VACUUM_METRICS_SCHEMA`

data

VACUUM_METRICS_SCHEMA = 2

`vacuum_residual_metrics`

function source

vacuum_residual_metrics(channels: Iterable[VacuumChannel], *, window: tuple[float, float] | None = None, min_samples: int = 2, min_wall_authority: float = 0.0, scored_exclude: Iterable[str] | None = None) -> dict[str, Any]

Per-channel and per-family measured-versus-model agreement (issue #190).

`vacuum_response`

function source

vacuum_response(ods: Any, *, per_family: int | None = 2, channels: Sequence[tuple[str, int]] | None = None, window: tuple[float, float] | None = None, validity_window: tuple[float, float] | None = None, min_validity: int = 0) -> tuple[list[dict[str, Any]], tuple[np.ndarray, np.ndarray, np.ndarray]]

Select channels and compute their geometry response, once.

`VacuumChannel`

class source

VacuumChannel(name: str, kind: str, family: str, index: int, r: float, z: float, unit: str, time: np.ndarray, measured: np.ndarray, coil: np.ndarray, coil_eddy: np.ndarray, valid: np.ndarray | None = None) -> None

One magnetic observable, measured and forward-modeled on a shared grid.

12 fields · 5 members

name: str
kind: str
family: str
index: int
r: float
z: float
unit: str
time: np.ndarray
measured: np.ndarray
coil: np.ndarray
coil_eddy: np.ndarray
valid: np.ndarray | None
usable property — The per-sample validity mask, all-True when the ODS declares none. source
residual property — Measured minus the coil+eddy synthetic – the plasma signal estimate. source
coil_residual property — Measured minus the coil-only synthetic, the eddy term’s baseline. source
eddy_term property — What the passive wall adds to the coil-only forward model. source
wall_authority method — See wall_authority; mask is expected to be an evaluation_mask (validity already applied). source

`VacuumMagneticsError`

class source

Raised when an ODS cannot support the vacuum-magnetics forward model.

`wall_authority`

function source

wall_authority(eddy_term: np.ndarray, measured: np.ndarray, window: np.ndarray) -> float

rms(eddy term) / rms(measured) over window – how much of what a sensor reads the passive-wall term can account for at all.

vaft.omas.vest_upstream

OMAS-first upstream stages for the VEST production workflow.

`archive_raw_source`

function source

archive_raw_source(*, shot: int, output: str | Path, source: str | Path | None = None, max_retries: int = 3) -> dict[str, Any]

Copy an explicit archive or export one shot from live SQL.

`build_diagnostics_ods`

function source

build_diagnostics_ods(*, shot: int, raw_source: str | Path, static_ods: str | Path, tstart: float | None = None, tend: float | None = None, dt: float | None = None, run: int = 1, vest_magnetics_processing: dict[str, Any] | None = None, time_policies: Mapping[str, Any] | None = None) -> tuple[ODS, dict[str, Any]]

Build independent diagnostic IDSs without losing valid siblings.

`build_eddy_ods`

function source

build_eddy_ods(*, shot: int, diagnostics_ods: str | Path, static_ods: str | Path, filament_r: list[float], filament_z: list[float], filament_fraction: list[float], dt_sub: float = 5e-05) -> tuple[ODS, dict[str, Any]]

Compute target-shot passive currents from finalized input ODSs.

`build_gpec_ideal_ods`

function source

build_gpec_ideal_ods(*, shot: int, time_values: Sequence[int | str], workdir: str | Path | None = None, mode_workdirs: Mapping[int, str | Path] | None = None, modes: Sequence[int] = (1,), run: int = 1) -> tuple[ODS, dict[str, Any]]

Build mhd_linear + coils_non_axisymmetric from ideal-GPEC runs.

`build_static_ods`

function source

build_static_ods(machine_version: str) -> tuple[ODS, dict[str, Any]]

Build one finalized, versioned static VEST machine ODS.

`machine_era`

function source

machine_era(name: str) -> VestMachineEra

Resolve a configured machine-era name.

`machine_era_for_shot`

function source

machine_era_for_shot(shot: int) -> VestMachineEra

Return the explicit VEST machine era for a shot.

`VEST_MACHINE_ERAS`

data

VEST_MACHINE_ERAS = <builtins.tuple>

`VestMachineEra`

class source

VestMachineEra(name: str, first_shot: int | None, last_shot: int | None, pf_geometry: str, reference_shot: int, wall_geometry: str = '1512') -> None

6 fields · 1 members

name: str
first_shot: int | None
last_shot: int | None
pf_geometry: str
reference_shot: int
wall_geometry: str
contains method source

`write_manifest`

function source

write_manifest(manifest: dict[str, Any], path: str | Path) -> None

`write_stage_product`

function source

write_stage_product(ods: ODS, manifest: dict[str, Any], *, output: str | Path, metadata: str | Path, compression: str | None = None) -> None

Write deterministic ODS and manifest products.