ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2003.011] HOMER: A Bayesian inverse modeling code

HOMER (Helper Of My Eternal Retrievals) is a machine-learning-accelerated Bayesian inverse modeling code. Given some data and uncertainties, the code determines the posterior distribution of a model. HOMER uses MC3 (ascl:1610.013) for its MCMC; its forward model is a neural network surrogate model trained by MARGE (ascl:2003.010). The code produces plots of the 1D marginalized posteriors, 2D pairwise posteriors, and parameter history traces, and can also overplot the 1D and 2D posteriors for comparison with another posterior. HOMER computes the Bhattacharyya coefficient to compare the similarity of two 1D marginalized posteriors.

Code site:
https://github.com/exosports/homer
Described in:
https://ui.adsabs.harvard.edu/abs/2020arXiv200302430H
Bibcode:
2020ascl.soft03011H
Keywords: NASA

Views: 456

ascl:2003.011
Add this shield to your page
Copy the above HTML to add this shield to your code's website.