gphist: Cosmological expansion history inference using Gaussian processes

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Ada Coda
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gphist: Cosmological expansion history inference using Gaussian processes

Post by Ada Coda » Thu Sep 30, 2021 10:51 pm

gphist: Cosmological expansion history inference using Gaussian processes

Abstract: gphist performs Bayesian inference on the cosmological expansion history using Gaussian process priors. It is written in Python and includes driver programs to run inference calculations and plot the results. The code infers the cosmological expansion history using a Gaussian process prior, reads these ouputs, and performs checks to ensure they are indeed compatible. gphist then generates a single combined output file to plot expansion history inferences.

Credit: Kirkby, David; Keeley, Ryan

Site: http://gphist.readthedocs.io/
https://ui.adsabs.harvard.edu/abs/2018PhRvD..97l3501J

Bibcode: 2021ascl.soft09023K

ID: ascl:2109.023

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