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[ascl:2207.010] Helios-r2: Bayesian nested-sampling retrieval code

Helios-r2 performs atmospheric retrieval of brown dwarf and exoplanet spectra. It uses a Bayesian statistics approach by employing a nested sampling method to generate posterior distributions and calculate the Bayesian evidence. The nested sampling itself is done by Multinest (ascl:1109.006). The computationally most demanding parts of the model have been written in NVIDIA's CUDA language for an increase in computational speed. Successful applications include retrieval of brown dwarf emission spectra and secondary eclipse measurements of exoplanets.

Code site:
https://github.com/exoclime/Helios-r2
Used in:
https://ui.adsabs.harvard.edu/abs/2020A%26A...637A..36B
Described in:
https://ui.adsabs.harvard.edu/abs/2020ApJ...890..174K
Bibcode:
2022ascl.soft07010K

Views: 1198

ascl:2207.010
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