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[ascl:2003.010] MARGE: Machine learning Algorithm for Radiative transfer of Generated Exoplanets

MARGE (Machine learning Algorithm for Radiative transfer of Generated Exoplanets) generates exoplanet spectra across a defined parameter space, processes the output, and trains, validates, and tests machine learning models as a fast approximation to radiative transfer. It uses BART (ascl:1608.004) for spectra generation and modifies BART’s Bayesian sampler (MC3, ascl:1610.013) with a random uniform sampler to propose models within a defined parameter space. More generally, MARGE provides a framework for training neural network models to approximate a forward, deterministic process.

Code site:
https://github.com/exosports/MARGE
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv200302430H
Bibcode:
2020ascl.soft03010H
Keywords: NASA

Views: 420

ascl:2003.010
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