SOLPS-NN Training Data v1

SOLPS-NN Training Data v1 This repository contains the condensed SOLPS-ITER simulation data used to train surrogate models as part of the PhD Thesis "Surrogate models for particle and power exhaust in divertor tokamak simulations" of S. Dasbach conducted at the Forschungszentrum Jülich. File/Folder Explanation baserun Contains the SOLPS-ITER baserun used to conduct the parameter scan geometry The files crx.npy / cry.npy contain the x and y coordinates of the 4 corners of each grid cell in the computational grid. train Data used for training of surrogate models (Sobol sequence distribution) test Data used for testing of surrogate models (Random distribution) example.py Example python script to plot the data thesis.pdf Copy of PhD thesis documenting the data generation process Description of train/test data File Explanation simulations.db SQlite database containing the parameters of all attempted simulations even if these crashed completed sim_ids of all simulations that achieved a result failed simd_ids of all simulations that crashed For all simulations which completed the following data is provided: Item Shape Unit Explanation te (n_sim,nx,ny) J Electron temperature ti (n_sim,nx,ny) J Ion temperature na (n_sim,nx,ny,ns) m^-3 Particle density ua (n_sim,nx,ny,ns) m/s Particle parallel velocity fna (n_sim,nx,ny,2,ns) atoms/s Particle flux fht (n_sim,nx,ny,2) W Total heatflux fhe (n_sim,nx,ny,2) W Electron heatflux fhi (n_sim,nx,ny,2) W Ion heatflux rqrad (n_sim,nx,ny,ns) W Line radiation fnixap (n_sim) atoms/s Integrated deuterium ion flux to the outer (LFS) divertor target pwmxap (n_sim) W/m^2 Peak heatflux at the outer (LFS) divertor target psol (n_sim) W Power crossing the separatrix from core to SOL X_legacy (n_sim,8) Legacy input file format X_units (n_sim,8) Parameters of each simulation n_sim - number of simulationsnx - SOLPS-ITER grid dimension parallel to magnetic fieldny - SOLPS-ITER grid dimension perpendicular to magnetic fieldns - particle index (D0,D1,N0,N1,N2,N3,...,N7) X_units contains the following parameters in this order: Parameter Scanned range Unit Explanation R 1-10 m Tokamak major radius B 1-10 T Toroidal magnetic field strength (on axis) P 10e6-200e6 W Input power into simulation domain D_\mathrm{puff} 1e18-1e24 atoms/s Deuterium gas puff rate N_\mathrm{puff} 1e18-1e23 atoms/s Nitrogen gas puff rate D_\mathrm{core} 1e19-1e24 atoms/s Deuterium core fueling rate D_\perp 0.1-2 m^2/s Cross-field particle transport coefficient \chi_\perp 0.1-2 m^2/s Cross-field heat transport coefficient Acknowledgement This work has been carried out within the framework of the EUROfusion Consortium,funded by the European Union via the Euratom Research and TrainingProgramme (Grant Agreement No 101052200 — EUROfusion). Views and opinionsexpressed are however those of the author(s) only and do not necessarily reflectthose of the European Union or the European Commission. Neither the EuropeanUnion nor the European Commission can be held responsible for them. The authors gratefully acknowledges computing time on the supercomputer JURECA at Forschungszentrum Jülich under grant no. solsur. License SOLPS-NN Training Data v1 © 2024 by Stefan Dasbach (Forschungszentrum Jülich) is licensed under CC BY 4.0. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/ Citation Users of the data are kindly asked to cite all of the following publications: Dasbach, S., & Wiesen, S. (2023). Towards fast surrogate models for interpolation of tokamak edge plasmas. Nuclear Materials and Energy, 34, 101396.