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Gyrokinetics compression validation dataset (PINC)
Subsampled 5D gyrokinetics test set to reproduce the compression evaluation in Physics-Informed Neural Compression of High-Dimensional Plasma Data (PINC). Links to the paper, code, and authors are withheld for double-blind review; see the anonymized submission for details.
Data
60 held-out turbulent trajectories of adiabatic-electron gyrokinetic simulations (GKW), 10x-downsampled over the turbulent window (timesteps 90-260, step 10) to 1080 snapshots, stored in float32. Layout:
iteration_<n>_ifft_realpotens/
data/timestep_<t>.bin # 5D distribution function f at timestep t
data/poten_<t>.bin # electrostatic potentials at timestep t
metadata_light.pkl # geometry, grid, spectra metadata
checkpoints/nf/
best_mlp_*.pt # basic neural field, one per snapshot
best_int_mlp_*.pt # PINC (physics-informed) neural field, one per snapshot
Usage
Download the snapshots + neural-field checkpoints from this repository and run the evaluation pipeline provided with the anonymized code submission:
python scripts/run_eval1k.py --methods nf,nf-pinc,sz3,jpeg2000,zfp \
--ckpts <local>/checkpoints/nf --path <local>
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