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[ascl:2209.008] PINION: Accelerating radiative transfer simulations for cosmic reionization

PINION (Physics-Informed neural Network for reIONization) predicts the complete 4-D hydrogen fraction evolution from the smoothed gas and mass density fields from pre-computed N-body simulations. Trained on C2-Ray simulation outputs with a physics constraint on the reionization chemistry equation, PINION accurately predicts the entire reionization history between z = 6 and 12 with only five redshift snapshots and a propagation mask as a simplistic approximation of the ionizing photon mean free path. The network's predictions are in good agreement with simulation to redshift z > 7, though the oversimplified propagation mask degrades the network's accuracy for z < 7.

Code site:
https://github.com/epfl-radio-astro/PINION
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv220813803K
Bibcode:
2022ascl.soft09008K

Views: 500

ascl:2209.008
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