ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2310.006] MAGPy-RV: Gaussian Process regression pipeline with MCMC parameter searching

MAGPy-RV (Modelling stellar Activity with Gaussian Processes in Radial Velocity) models data with Gaussian Process regression and affine invariant Monte Carlo Markov Chain parameter searching. Developed to model intrinsic, quasi-periodic variations induced by the host star in radial velocity (RV) surveys for the detection of exoplanets and the accurate measurements of their orbital parameters and masses, it now includes a variety of kernels and models and can be applied to any timeseries analysis. MAGPy-RV includes publication level plotting, efficient posterior extraction, and export-ready LaTeX results tables. It also handles multiple datasets at once and can model offsets and systematics from multiple instruments. MAGPy-RV requires no external dependencies besides basic python libraries and corner (ascl:1702.002).

Code site:
https://github.com/frescigno/magpy_rv/tree/main https://magpy-rv.readthedocs.io/en/latest/
Described in:
https://ui.adsabs.harvard.edu/abs/2023arXiv231013623R
Bibcode:
2023ascl.soft10006R

Views: 784

ascl:2310.006
Add this shield to your page
Copy the above HTML to add this shield to your code's website.