feat: osiris wrapper#279
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functions (should probably be moved to another branch). Added density and temperature profiles. Fixed LaTeX issues
regenerates from the saved NetCDF artifacts alone — no rerun, no raw MS/ tree. Made list_diagnostics/load_series/load_hist_energy dispatch between the MS/ HDF5 tree and a binary/ NetCDF dir, made field-energy source-agnostic, and now persist HIST/energy.nc in save_run_datasets. Added 3 tests
- regen harness: rebuild the full canned plot set from saved NetCDFs (no rerun) - f(p) and delta-f lineouts; temperature profile from phase-space Maxwellian fits - number-density profiles (initial/final/late-mean); 2-panel equal-aspect omega-k - phase-space & spacetime: space on x-axis, cropped to box, log-contrast floor - proper-LaTeX titles (prose vs math) Co-Authored-By: Claude Opus 4.8 <[email protected]>
…ion+reflection plot (should probably be moved to osiris-lpi repo)
sync-up.sh script doesn't delete ongoing osiris runs
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is this ready to go? |
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Gave it a read through; should be good to go. Idk if the tests are actually all that useful but I left them in ¯_(ツ)_/¯ |
BaseOsiris.write_units() previously returned {} so OSIRIS runs logged an empty units.yaml. Derive the physical reference scales (wp0, tp0, n0, v0, x0, c_light, beta, box_length, sim_duration) from the deck's simulation.n0 (density) or simulation.omega_p0 (frequency); when both are present, n0 wins, as in OSIRIS. This mirrors the canonical key set the other adept solvers emit so OSIRIS runs are comparable in MLflow.
Adds skin_depth_normalization and skin_depth_normalization_from_frequency to normalization.py. OSIRIS has no single global reference temperature (species carry per-species thermal momenta), so the temperature-dependent keys (T0/nuee/logLambda_ee) are omitted.
Co-Authored-By: Claude Opus 4.8 <[email protected]>
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