Disruption metadata in the summary IDS #130
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@imbeauf please note that @olivhoenen needs the quantities in bold to be implemented in fast track for the metadata. These are "pre_disruptive_values", "type", "runaway_electrons.current_max " and "halo_current.fraction_poloidal_max" |
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I have implemented a first version of the extension, with the quantities in bold. |
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Dear DD developers,
For integrating the disruption database in SimDB, @olivhoenen suggested to include some metadata now used in the ITER_DISRUPTIONS database, in the summary.disruption. I propose to add the following fields within summary.disruption that may be useful to classify disruptions
disruption.time (better definition) = min(t_TQ, t_VDE), where t_TQ and t_VDE are the times at which the Thermal Quench (TQ) and the Vertical Displacement Event (VDE) are detected by their respective detectors.
disruption.time_predisruption = disruption.time - t_pre, where t_pre [s] = 0.0025 * R0[m]^2 and R0 is the major radius where the toroidal field is defined.
runaway_electrons.current_max = Maximum toroidal current carried by runaway electrons [A]
runaway_electrons.termination_type = [Benign, non-benign, other]
halo_current.fraction_poloidal_max = Maximum poloidal halo current normalized by the pre-disruption toroidal plasma current []
halo_current.fraction_toroidal_max = Maximum toroidal halo current normalized by the pre-disruption toroidal plasma current []
halo_current.poloidal_tpf = Toroidal peaking factor of the poloidal halo current at the time of maximum poloidal halo current []
vessel_net_force_max: Maximum of the net force in the vacuum vessel induced by the disruption [m].
vessel_net_displacement_max: Maximum of the net displacement of the vacuum vessel due to the electromagnetic forces induced by the disruption [m].
type: [To select among these two options]
origin: main cause leading to the disruption [To select among these options]
mitigation_valve: Remove!
Mitigation
time_radiated_power_max: Move into radiation!
radiation:
simulation_phases: describes which disruption phases are covered by the simulations (for simulation data only):
In addition, I find useful to filter the database by modelling assumptions. Let's say I am not interested on 2D simulations of the thermal quench, but I want to look at 3D features. For that, we could change the summary.code. to include
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