JOREK-IMAS

What Is IMAS?

The Integrated Modelling & Analysis Suite (IMAS) provides a common data model and a software ecosystem for exchanging experimental and simulation data between fusion codes. The IMAS Data Dictionary implements this model as machine-independent Interface Data Structures (IDSs) with standardized names and structures.

New users should start with the open-source IMAS tutorial. Its notebooks introduce IMAS, the Data Dictionary, data access, IDS exploration and visualization, and simulation-database management. The tutorial is a living document and links to the maintained documentation for each component.

Open-Source IMAS Components

Most of the IMAS software relevant to JOREK users is developed openly:

Component	Purpose
IMAS Data Dictionary	Defines the IMAS data model and IDS schemas for experimental and simulation data.
IMAS-Python	Python library for creating, reading, writing, and manipulating IDSs.
IMAS-Fortran	Fortran data-access library used to manipulate IDS structures and connect them to the available storage backends.
IMAS-ParaView	ParaView plugins for visualizing GGD meshes and other IMAS data. This replaces the former GGD-VTK workflow.
IMAS-MUSCLE3	Integration tools for coupling IMAS-compatible codes in MUSCLE3 workflows. Its actors exchange IDS data between the coupled components.
SimDB	Command-line and client-server tools for tracking, querying, transferring, and managing simulations and their metadata.
SimDB Dashboard	Web interface for querying and viewing simulations in a remote SimDB database.

Many more open-source fusion and IMAS repositories are available from the ITER Organization on GitHub.

How Can JOREK Users Benefit from IMAS?

Obtain initial equilibria: Build a JOREK input file from an equilibrium IDS, including $FF'$, coil currents, and the poloidal-flux map. Use SimDB or the SimDB Dashboard to find available simulations and their database metadata.
Obtain tokamak components: Read specifications such as vacuum-vessel geometry, first-wall panels, diagnostics, and coils from the corresponding IDSs when they are included in an accessible IMAS entry.
Archive, share, and reference simulations: Export JOREK results to IDSs and manage the resulting simulation and its metadata with SimDB.
Visualize and process IMAS data: Use IMAS-ParaView for GGD meshes, machine descriptions, and diagnostic geometries, or work directly with IDSs through IMAS-Python and IMAS-Fortran.
Couple JOREK to other codes and create workflows: MUSCLE3 can couple JOREK to other codes, for example to calculate synthetic diagnostic signals from JOREK output. IMAS-MUSCLE3 provides the actors that exchange IDS data between the coupled components.

Creating a JOREK Input File from an IMAS Entry

Follow the IMAS tutorial to become familiar with IDSs and the current data-access tools.
Find an appropriate simulation with the SimDB Dashboard. Record the user, database, pulse, and run identifying the IMAS entry, then select a time slice containing a suitable equilibrium.
Configure the IMAS data-access environment required at your site. Installation and usage information is maintained in the IMAS-Python repository; module names and available storage backends may be site-specific.
From communication/IMAS, run imas2jorek.py, replacing the uppercase placeholders with the selected entry and time:

python imas2jorek.py \
    --user USER \
    --database DATABASE \
    --pulse PULSE \
    --run RUN \
    --time TIME

With IMAS-Python 2, a URI is preferred and can point directly to a local HDF5 entry or another supported backend:

python imas2jorek.py \
    --uri 'imas:hdf5?path=/path/to/imas/data' \
    --time TIME

--uri takes precedence over --user, --database, --pulse, --run, and --backend. By default, the script detects the stored DD version from the entry metadata and reopens the entry with that version. Use --dd-version only to request an explicit target version; cross-major-version conversion may require additional Access Layer configuration.

Display all arguments and defaults, including the storage backend, Data Dictionary version, IDS occurrence, and tokamak used to construct the boundary, with:

python imas2jorek.py -h

The script operates similarly to eqdsk2jorek. The --tokamak (-tk) option selects the tokamak used to construct the initial $R$-$Z$ boundary; inspect and adapt the generated grid boundary as needed.

After imas2jorek.py finishes, it produces:

jorek_namelist, containing the poloidal-flux boundary conditions and coil currents.
jorek_density, jorek_temperature, and jorek_ffprime, containing the profiles.

The pf_active IDS is optional. If the selected occurrence is empty, the script reports a warning and generates the input without imported coil currents.

Exporting JOREK Data to IMAS

Load the IMAS module. On the ITER cluster:

module load IMAS

The jorek2_IDS tool converts JOREK HDF5 restart files into IMAS data. Enable the IMAS interface and provide the Access Layer compiler and linker flags in Makefile.inc:

USE_IMAS = 1

IMASINCLUDE=`pkg-config --cflags-only-I al-fortran`
IMASLIB=`pkg-config --libs-only-L --libs-only-l al-fortran`

# For the old Access Layer 4, use these lines instead:
# IMASINCLUDE=`pkg-config --cflags-only-I imas-ifort`
# IMASLIB=`pkg-config --libs-only-L --libs-only-l imas-ifort`

Configure jorek2_IDS consistently with the model and toroidal resolution used by the simulation, then compile it. For example:

util/config.sh n_tor=1 n_period=1 n_plane=1 with_TiTe=.false. with_vpar=.false. with_impurities=.true.
make -j 8 jorek2_IDS

In the simulation directory containing the restart files, create imas.nml. The comments below describe its parameters:

&imas_params

  ! --- Where is this simulation going to be stored?
  URI         = ''                  ! optional complete URI; takes precedence over the fields below
                                    ! For example: 'imas:hdf5?path=./imas_data' stores the IDSs in a
                                    ! separate folder below the directory from which jorek2_IDS is run.
                                    ! With a path URI, user/database/shot/run are not used for locating data.
  user        = 'artolaj'           ! your username
  database    = 'test_database'     ! your local database, if it does not exist it will create a new one
  shot_number = 111111              ! choose a shot or reference number
  run_number  = 1                   ! choose a run number
  overwrite_entry = .false.         ! If true:  it will overwrite pre-existing entries in the database (CAREFUL!!)
                                    ! If false: it will append the data to existing IDSs

  ! --- Which restart files are going to be exported?
  i_begin     = 700           ! Do not consider restart files before 700
  i_end       = 5000          ! Do not consider restart files after 5000
  i_jump_steps= 100           ! jump restart files by this step

  ! --- Which IDSs are going to be exported?
  export_JOREK_variables  = .true.     ! --- Exports JOREK raw variables to occurrence 1 of plasma_profiles
  export_1d_profiles      = .false.    ! --- Exports 1D flux-averaged profiles to occurrence 0 of plasma_profiles
  export_equilibrium      = .false.
  export_summary          = .false.
  export_disruption       = .false.
  ! Optional summary/disruption metadata; leave at -999 to keep the nodes empty.
  summary_disruption_type = -999              ! 1 = major, 2 = VDE
  summary_disruption_vertical_displacement = -999  ! 1 = upwards, 0 = no displacement, -1 = downwards
  export_wall             = .false.    ! --- Needs free-boundary mode
  export_pf_passive       = .false.    ! --- Needs free-boundary mode
  export_pf_active        = .false.    ! --- Needs free-boundary mode
  export_radiation        = .false.    ! --- Only working with SPI simulations with marker model
  export_spi              = .false.    ! --- Needs SPI simulation
  export_field_extension  = .false.    ! --- Export psi(n=0) and B(3D) to a rectangular grid that goes beyond
                                       ! ---    the JOREK grid. The n=0 components are stored in
                                       ! ---    equilibrium/profiles_2D and the 3D fields in plasma_profiles
                                       ! ---    occurrence 2.

  ! --- Geometry of coils and passive components (as in STARWALL input)
  ! --- These are needed to export the coil geometries in the IDSs pf_active & pf_passive
  passive_coil_geo_file = 'passive_components.nml'
  active_coil_geo_file  = 'polcoils_iter.nml'

  ! --- If true, read only radiation projections for the non-coronal equilibrium model
  rad_only_projections_h5 = .false.

  ! --- Brief description of the simulation
  simulation_description = 'JOREK 2D disruption simulation.'

  ! --- Parameters defining the rectangular grid used in equilibrium and plasma_profiles occurrence 2.
  rect_grid_params%nR    = 100
  rect_grid_params%nZ    = 200
  rect_grid_params%R_min = 3.d0
  rect_grid_params%R_max = 10.d0
  rect_grid_params%Z_min = -6.d0
  rect_grid_params%Z_max = 6.d0

/

Run the converter with one MPI process:

mpirun -n 1 ./jorek2_IDS < jorek_input_file

Successful exports print messages such as XXXXX IDS exported. The stored data can then be inspected with IMAS-ParaView or processed directly with IMAS-Python and IMAS-Fortran.

Available IDS Nodes

The IDSs and variables that can currently be filled are listed below.

`summary`

summary.ids_properties.homogeneous_time
summary.ids_properties.comment
summary.time
summary.global_quantities.r0.value
summary.global_quantities.b0.value
summary.global_quantities.beta_pol.value
summary.global_quantities.beta_tor.value
summary.global_quantities.beta_tor_norm.value
summary.global_quantities.ip.value
summary.global_quantities.li_3.value
summary.global_quantities.volume.value
summary.global_quantities.q_95.value
summary.global_quantities.energy_thermal.value
summary.global_quantities.energy_b_field_pol.value
summary.global_quantities.power_ohm.value
summary.global_quantities.power_radiated.value
summary.heating_current_drive.power_additional.value
summary.local.magnetic_axis.position.r
summary.local.magnetic_axis.position.z
summary.local.magnetic_axis.position.psi
summary.boundary.type.value
summary.boundary.minor_radius.value
summary.boundary.elongation.value
summary.boundary.triangularity_upper.value
summary.boundary.triangularity_lower.value
summary.boundary.geometric_axis_r.value
summary.boundary.geometric_axis_z.value
summary.disruption.type.index                  # if configured
summary.disruption.vertical_displacement.value # if configured

`plasma_profiles` (occurrence 0)

Provides poloidal-flux-averaged profiles using the $n=0$ poloidal flux.

plasma_profiles.ids_properties.homogeneous_time
plasma_profiles.time
plasma_profiles.profiles_1d.grid.psi_magnetic_axis
plasma_profiles.profiles_1d.grid.psi_boundary
plasma_profiles.profiles_1d.grid.rho_pol_norm
plasma_profiles.profiles_1d.grid.psi

plasma_profiles.profiles_1d.t_i_average
plasma_profiles.profiles_1d.electrons.temperature
plasma_profiles.profiles_1d.electrons.density
plasma_profiles.profiles_1d.pressure_thermal
plasma_profiles.profiles_1d.phi_potential
plasma_profiles.profiles_1d.conductivity_parallel
plasma_profiles.profiles_1d.j_total
plasma_profiles.profiles_1d.e_field.parallel
plasma_profiles.profiles_1d.e_field.radial
plasma_profiles.profiles_1d.ion.velocity.parallel
plasma_profiles.profiles_1d.ion.velocity.poloidal
plasma_profiles.profiles_1d.ion.velocity.diamagnetic
plasma_profiles.profiles_1d.zeff
plasma_profiles.profiles_1d.ion.density
plasma_profiles.profiles_1d.ion.element.a
plasma_profiles.profiles_1d.neutral.density
plasma_profiles.profiles_1d.neutral.element.a
plasma_profiles.profiles_1d.ion.element.z_n
plasma_profiles.profiles_1d.q
plasma_profiles.profiles_1d.grid.rho_tor_norm

`plasma_profiles` (occurrence 1)

Contains high-precision raw JOREK variables. This IDS can be used to calculate current density and magnetic field accurately. It also contains electron and ion temperatures, mass density, electrostatic potential, and toroidal vorticity. Finite-element and Fourier-series coefficients are stored in GGD format and can be visualized with IMAS-ParaView.

The listed GGD quantities depend on the variables present in the JOREK restart file; mass_density requires with_rho.

plasma_profiles.ids_properties.homogeneous_time
plasma_profiles.time

plasma_profiles.ggd.time
plasma_profiles.ggd.psi
plasma_profiles.ggd.phi_potential
plasma_profiles.ggd.r_j_total_phi
plasma_profiles.ggd.vorticity_over_r
plasma_profiles.ggd.mass_density
plasma_profiles.ggd.electrons.temperature
plasma_profiles.ggd.t_i_average
plasma_profiles.ggd.velocity_parallel_over_b_field
plasma_profiles.ggd.ion.element.a
plasma_profiles.ggd.ion.element.z_n
plasma_profiles.ggd.ion.density
plasma_profiles.ggd.neutral.element.a
plasma_profiles.ggd.neutral.element.z_n
plasma_profiles.ggd.neutral.density

## GGD grid
plasma_profiles.grid_ggd[0].time
plasma_profiles.grid_ggd[0].identifier.description
plasma_profiles.grid_ggd[0].identifier.name
plasma_profiles.grid_ggd[0].identifier.index

plasma_profiles.grid_ggd[0].grid_subset[0].identifier.name
plasma_profiles.grid_ggd[0].grid_subset[0].identifier.index
plasma_profiles.grid_ggd[0].grid_subset[0].identifier.description
plasma_profiles.grid_ggd[0].grid_subset[0].dimension

plasma_profiles.grid_ggd[0].space[0].geometry_type.index
plasma_profiles.grid_ggd[0].space[0].coordinates_type
plasma_profiles.grid_ggd[0].space[0].objects_per_dimension[0].object[:].geometry
plasma_profiles.grid_ggd[0].space[0].objects_per_dimension[0].object[:].geometry_2d
plasma_profiles.grid_ggd[0].space[0].objects_per_dimension[2].object[:].nodes
plasma_profiles.grid_ggd[0].space[0].objects_per_dimension[2].object[:].geometry_2d

plasma_profiles.grid_ggd[0].space[1].coordinates_type
plasma_profiles.grid_ggd[0].space[1].geometry_type.index
plasma_profiles.grid_ggd[0].space[1].identifier.description
plasma_profiles.grid_ggd[0].space[1].objects_per_dimension[0].object[:].geometry

`plasma_profiles` (occurrence 2)

Contains the $B_R$ and $B_Z$ magnetic-field components on a rectangular grid extending beyond the JOREK grid. It is available only for full free-boundary simulations with export_field_extension = .true.. The $(R,Z)$ space is a regular two-dimensional grid containing values at its nodes rather than Bézier coefficients, while the toroidal direction retains its Fourier representation. This occurrence is intended for field-line-tracing codes such as SMITER.

plasma_profiles.ids_properties.homogeneous_time
plasma_profiles.time
plasma_profiles.ggd.b_field

## GGD grid
plasma_profiles.grid_ggd[0].time
plasma_profiles.grid_ggd[0].identifier.description
plasma_profiles.grid_ggd[0].identifier.name
plasma_profiles.grid_ggd[0].identifier.index

plasma_profiles.grid_ggd[0].grid_subset[0].identifier.name
plasma_profiles.grid_ggd[0].grid_subset[0].identifier.index
plasma_profiles.grid_ggd[0].grid_subset[0].identifier.description
plasma_profiles.grid_ggd[0].grid_subset[0].dimension

plasma_profiles.grid_ggd[0].space[0].geometry_type.index
plasma_profiles.grid_ggd[0].space[0].coordinates_type
plasma_profiles.grid_ggd[0].space[0].objects_per_dimension[0].object[:].geometry
plasma_profiles.grid_ggd[0].space[0].objects_per_dimension[2].object[:].nodes

plasma_profiles.grid_ggd[0].space[1].coordinates_type
plasma_profiles.grid_ggd[0].space[1].geometry_type.index
plasma_profiles.grid_ggd[0].space[1].identifier.description
plasma_profiles.grid_ggd[0].space[1].objects_per_dimension[0].object[:].geometry

`wall`

The wall IDS contains two wall descriptions:

The inner ITER vacuum-vessel layer, represented as a thin wall discretized with linear triangular elements. Current-density vector, effective thickness, and resistivity are provided for each triangle.
An axisymmetric representation of the ITER first wall. Incident perpendicular heat flux, current-density vector for halo-current calculations, and poloidal flux are stored at the nodes of a triangular mesh.

These quantities can be visualized with IMAS-ParaView.

wall.ids_properties.homogeneous_time
wall.time

# Vacuum vessel inner layer
wall.description_ggd[0].ggd[:].j_total
wall.description_ggd[0].ggd[:].resistivity
wall.description_ggd[0].ggd[:].time
wall.description_ggd[0].ggd[:].j_total.r
wall.description_ggd[0].ggd[:].j_total.z
wall.description_ggd[0].ggd[:].j_total.phi

# First wall surface
wall.description_ggd[1].ggd[:].j_total
wall.description_ggd[1].ggd[:].power_density
wall.description_ggd[1].ggd[:].psi
wall.description_ggd[1].ggd[:].time
wall.description_ggd[1].ggd[:].power_density.values
wall.description_ggd[1].ggd[:].psi.values
wall.description_ggd[1].ggd[:].j_total.r
wall.description_ggd[1].ggd[:].j_total.z
wall.description_ggd[1].ggd[:].j_total.phi

# Grid
wall.description_ggd[:].type.index
wall.description_ggd[:].grid_ggd[0].identifier.index
wall.description_ggd[:].grid_ggd[0].identifier.description
wall.description_ggd[:].grid_ggd[0].time
wall.description_ggd[:].grid_ggd[0].grid_subset[0].identifier.index
wall.description_ggd[:].grid_ggd[0].grid_subset[0].dimension
wall.description_ggd[:].grid_ggd[0].space[0].identifier.index
wall.description_ggd[:].grid_ggd[0].space[0].geometry_type.index
wall.description_ggd[:].grid_ggd[0].space[0].coordinates_type
wall.description_ggd[:].grid_ggd[0].space[0].objects_per_dimension[0].geometry_content.index
wall.description_ggd[:].grid_ggd[0].space[0].objects_per_dimension[0].object[:].geometry
wall.description_ggd[:].grid_ggd[0].space[0].objects_per_dimension[2].object[:].nodes

wall.description_ggd[:].thickness[0].grid_subset[0].grid_index
wall.description_ggd[:].thickness[0].grid_subset[0].grid_subset_index
wall.description_ggd[:].thickness[0].grid_subset[0].values
wall.description_ggd[:].thickness[0].time

wall.description_ggd[:].component[0].type[0].grid_index
wall.description_ggd[:].component[0].type[0].grid_subset_index
wall.description_ggd[:].component[0].type[0].identifier.index
wall.description_ggd[:].component[0].type[0].identifier.name
wall.description_ggd[:].component[0].type[0].identifier.description
wall.description_ggd[:].component[0].time

`pf_passive`

The pf_passive IDS contains additional passive conductors in which currents are induced: the outer vacuum-vessel layer, outer triangular support, and divertor inboard rail. They are discretized as toroidal loops.

pf_passive.ids_properties.homogeneous_time
pf_passive.time
pf_passive.loop.name
pf_passive.loop.resistance
pf_passive.loop.element.turns_with_sign
pf_passive.loop.element.geometry.geometry_type
pf_passive.loop.element.geometry.rectangle.r
pf_passive.loop.element.geometry.rectangle.z
pf_passive.loop.element.geometry.rectangle.width
pf_passive.loop.element.geometry.rectangle.height
pf_passive.loop.current
pf_passive.loop.time

`pf_active`

pf_active.ids_properties.homogeneous_time
pf_active.time
pf_active.coil.name
pf_active.coil.resistance
pf_active.coil.element.turns_with_sign
pf_active.coil.element.geometry.geometry_type
pf_active.coil.element.geometry.rectangle.r
pf_active.coil.element.geometry.rectangle.z
pf_active.coil.element.geometry.rectangle.width
pf_active.coil.element.geometry.rectangle.height
pf_active.coil.current.data
pf_active.coil.current.time

`plasma_transport`

plasma_transport.ids_properties.homogeneous_time
plasma_transport.time
plasma_transport.grid_ggd
plasma_transport.model.ggd.time
plasma_transport.model.ggd.electrons.energy.flux_parallel.values
plasma_transport.model.ggd.electrons.energy.flux_parallel.grid_index
plasma_transport.model.ggd.electrons.energy.flux_parallel.grid_subset_index
plasma_transport.model.ggd.total_ion_energy.flux_parallel.values
plasma_transport.model.ggd.total_ion_energy.flux_parallel.grid_index
plasma_transport.model.ggd.total_ion_energy.flux_parallel.grid_subset_index
plasma_transport.model.ggd.ion.element.a
plasma_transport.model.ggd.ion.element.z_n
plasma_transport.model.ggd.ion.particles.flux_parallel.values
plasma_transport.model.ggd.ion.particles.flux_parallel.grid_index
plasma_transport.model.ggd.ion.particles.flux_parallel.grid_subset_index

`disruption`

disruption.ids_properties.homogeneous_time
disruption.time
disruption.global_quantities.current_halo_pol
disruption.global_quantities.current_halo_phi
disruption.global_quantities.power_ohm
disruption.global_quantities.power_ohm_halo
disruption.global_quantities.power_parallel_halo
disruption.global_quantities.power_radiated_electrons_impurities

`spi`

spi.ids_properties.homogeneous_time
spi.time
spi.injector.pellet.core.atoms_n
spi.injector.pellet.core.species.a
spi.injector.pellet.core.species.z_n
spi.injector.pellet.core.species.density
spi.injector.velocity_mass_centre_fragments_r
spi.injector.velocity_mass_centre_fragments_z
spi.injector.velocity_mass_centre_fragments_phi
spi.injector.fragment.position.r
spi.injector.fragment.position.z
spi.injector.fragment.position.phi
spi.injector.fragment.velocity_r
spi.injector.fragment.velocity_z
spi.injector.fragment.velocity_phi
spi.injector.fragment.volume

`equilibrium`

equilibrium.ids_properties.homogeneous_time
equilibrium.time

equilibrium.time_slice.profiles_1d.psi
equilibrium.time_slice.profiles_1d.pressure
equilibrium.time_slice.profiles_1d.dpressure_dpsi
equilibrium.time_slice.profiles_1d.f_df_dpsi
equilibrium.time_slice.profiles_1d.j_parallel
equilibrium.time_slice.profiles_1d.q
equilibrium.time_slice.profiles_1d.rho_tor_norm

equilibrium.vacuum_toroidal_field.r0
equilibrium.vacuum_toroidal_field.b0

equilibrium.time_slice.global_quantities.psi_magnetic_axis
equilibrium.time_slice.global_quantities.magnetic_axis.r
equilibrium.time_slice.global_quantities.magnetic_axis.z
equilibrium.time_slice.global_quantities.beta_pol
equilibrium.time_slice.global_quantities.beta_tor
equilibrium.time_slice.global_quantities.beta_tor_norm
equilibrium.time_slice.global_quantities.ip
equilibrium.time_slice.global_quantities.li_3
equilibrium.time_slice.global_quantities.volume
equilibrium.time_slice.global_quantities.area
equilibrium.time_slice.global_quantities.current_centre.r
equilibrium.time_slice.global_quantities.current_centre.z
equilibrium.time_slice.global_quantities.q_axis
equilibrium.time_slice.global_quantities.q_95
equilibrium.time_slice.global_quantities.energy_mhd
equilibrium.time_slice.boundary.type
equilibrium.time_slice.boundary.psi
equilibrium.time_slice.boundary.minor_radius
equilibrium.time_slice.boundary.elongation
equilibrium.time_slice.boundary.triangularity_upper
equilibrium.time_slice.boundary.triangularity_lower
equilibrium.time_slice.boundary.geometric_axis.r
equilibrium.time_slice.boundary.geometric_axis.z
equilibrium.time_slice.boundary.closest_wall_point.r
equilibrium.time_slice.boundary.closest_wall_point.z
equilibrium.time_slice.boundary.closest_wall_point.distance
equilibrium.time_slice.contour_tree.node.critical_type
equilibrium.time_slice.contour_tree.node.r
equilibrium.time_slice.contour_tree.node.z
equilibrium.time_slice.contour_tree.node.psi

equilibrium.time_slice.boundary.outline.r
equilibrium.time_slice.boundary.outline.z

equilibrium.time_slice.profiles_2d.type.index
equilibrium.time_slice.profiles_2d.grid_type.index
equilibrium.time_slice.profiles_2d.grid.dim1
equilibrium.time_slice.profiles_2d.grid.dim2
equilibrium.time_slice.profiles_2d.r
equilibrium.time_slice.profiles_2d.z
equilibrium.time_slice.profiles_2d.psi         # overwritten by vacuum extension if enabled
equilibrium.time_slice.profiles_2d.j_phi
equilibrium.time_slice.profiles_2d.b_field_r   # overwritten by vacuum extension if enabled
equilibrium.time_slice.profiles_2d.b_field_z   # overwritten by vacuum extension if enabled
equilibrium.time_slice.profiles_2d.b_field_phi

`radiation`

The marker branch uses a GGD representation. The non-marker branch writes flux-averaged 1D radiation profiles.

radiation.time
radiation.ids_properties.homogeneous_time
radiation.process.identifier.name
radiation.process.identifier.description
radiation.process.identifier.index

# Marker branch
radiation.grid_ggd
radiation.process.ggd.time
radiation.process.ggd.ion.name
radiation.process.ggd.ion.emissivity.grid_index
radiation.process.ggd.ion.emissivity.grid_subset_index
radiation.process.ggd.ion.emissivity.values
radiation.process.ggd.ion.emissivity.coefficients

# Non-marker branch
radiation.process.profiles_1d.time
radiation.process.profiles_1d.grid.psi_magnetic_axis
radiation.process.profiles_1d.grid.psi_boundary
radiation.process.profiles_1d.grid.rho_pol_norm
radiation.process.profiles_1d.grid.psi
radiation.process.profiles_1d.grid.rho_tor_norm
radiation.process.profiles_1d.emissivity_ion_total

JOREK-IMAS

What Is IMAS?

Open-Source IMAS Components

How Can JOREK Users Benefit from IMAS?

Creating a JOREK Input File from an IMAS Entry

Exporting JOREK Data to IMAS

Available IDS Nodes

summary

plasma_profiles (occurrence 0)

plasma_profiles (occurrence 1)

plasma_profiles (occurrence 2)

wall

pf_passive

pf_active

plasma_transport

disruption

spi

equilibrium

radiation