Pyaneti: a fast and powerful software suite for multi-planet radial velocity and transit fitting

TL;DR

Pyaneti is a fast, user-friendly software suite that combines Bayesian MCMC methods with efficient programming to accurately fit multi-planet radial velocity and transit data, aiding exoplanet characterization.

Contribution

The paper introduces pyaneti, a new software that integrates FORTRAN, PYTHON, and OpenMP for efficient multi-planet data fitting in exoplanet research.

Findings

Fast and efficient data fitting for multi-planet systems.

User-friendly interface with Bayesian MCMC approach.

Open-source availability at GitHub.

Abstract

Transiting exoplanet parameter estimation from time-series photometry and Doppler spectroscopy is fundamental to study planets' internal structures and compositions. Here we present the code pyaneti, a powerful and user-friendly software suite to perform multi-planet radial velocity and transit data fitting. The code uses a Bayesian approach combined with an MCMC sampling to estimate the parameters of planetary systems. We combine the numerical efficiency of FORTRAN, the versatility of PYTHON, and the parallelization of OpenMP to make pyaneti a fast and easy to use code. The package is freely available at https://github.com/oscaribv/pyaneti.