AI 中文总结
本文介绍开源Python包ForMoSA v2.0，其采用贝叶斯框架拟合光谱与测光数据，主要用于直接成像的年轻行星质量褐矮星及系外行星研究，具备重构类架构等扩展功能。
AI 中文摘要
ForMoSA（FORward MOdeling tool for Spectral Analysis）是一款开源Python包，采用贝叶斯框架拟合光谱与测光观测数据，可利用不同自洽大气模型开展稳健的参数空间探索，主要设计用于直接成像的年轻行星质量褐矮星及系外行星的拟合工作。ForMoSA的开发由法国（IPAG、LIRA、LAM、Lagrange）、德国（MPIA）、美国（NASA Goddard）、智利（FCLA、迭戈·波塔莱斯大学、智利大学）多个实验室的国际合作团队支持，随着代码迭代及科学界关注度提升，结合ForMoSA v2.0的发布推出本专属出版物，该版本已重构为类架构，具备用户友好特性与扩展功能。
英文摘要
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.
Comments8 pages, 2 figures
