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[ascl:2504.027] picasso: Painting intracluster gas on gravity-only simulations

picasso makes predictions for the thermodynamic properties of the gas in massive dark matter halos from gravity-only cosmological simulations. It combines an analytical model of gas properties as a function of gravitational potential with a neural network predicting the parameters of said model. Written in Python, it combines an implementation of the gas model based on JAX (ascl:2111.002) and Flax (ascl:2504.026), and models that have been pre-trained to reproduce gas properties from hydrodynamic simulations.

Code site:
https://github.com/fkeruzore/picasso
Described in:
https://ui.adsabs.harvard.edu/abs/2024OJAp....7E.116K
Bibcode:
2025ascl.soft04027K

Views: 13

ascl:2504.027
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