ForMoSA: Forward Modeling tool for Spectral Analysis
Abstract
ForMoSA (FORward MOdeling tool for Spectral Analysis) is an open-source Python package to fit spectroscopic and photometric observations using a Bayesian framework. It can utilize different self-consistent atmospheric models to perform robust parameter space exploration. It has been mainly designed for fitting directly imaged young planetary-mass brown dwarfs and exoplanets. The developments within ForMoSA are supported by an international collaboration of several laboratories in France (IPAG, LIRA, LAM, and Lagrange), Germany (MPIA), USA (NASA Goddard), and Chile (FCLA, Universidad Diego Portales, and Universidad de Chile). The evolution of the code and the growing interest from the scientific community has led to the need for this dedicated publication alongside the release of ForMoSA v2.0, which has been refactored into a class architecture with user-friendly features and extended functionalities.
Cite
@article{arxiv.2607.26243,
title = {ForMoSA: Forward Modeling tool for Spectral Analysis},
author = {ForMoSA Collaboration and Simon Petrus and Paulina Palma-Bifani and Matthieu Ravet and Allan Denis and Bhavesh Rajpoot and Mickaël Bonnefoy and Gaël Chauvin and Arthur Vigan and Alice Radcliffe and Pablo Requeijo and Kevin Hoy},
journal= {arXiv preprint arXiv:2607.26243},
year = {2026}
}
Comments
8 pages, 2 figures