zhang-zhixiang/stellarSpecModel: stellarSpecModel release

This Zenodo repository hosts the software package StellarSpecModel, a Python toolkit designed for generating and analyzing theoretical stellar spectral energy distributions (SEDs) based on precomputed spectral grids. It supports both single-star and binary-star modeling, with features that incorporate extinction correction and multi-band photometric data fitting.

Contents

• stellarSpecModel/: Python modules and classes, including:

• SED_model.py: Single-star SED modeling

• binary_SED_model.py: Binary system SED modeling

• MARCS_Model.py and BTCond_Model.py: Interfaces to MARCS and BT-Cond spectral grids

• example.png: Example plot showing model output

• README.md: Documentation of usage and functionalities

File Types and Formats

• Python source code files (.py)

• Plot image (.png)

• Markdown documentation (.md)

Usage Summary

StellarSpecModel takes fundamental stellar parameters such as effective temperature (Teff), surface gravity (logg), and metallicity (FeH) to interpolate from stellar atmosphere models (MARCS or BT-Cond). It then computes synthetic SEDs for visualization or model fitting to observed photometry. In the binary-star version, it computes the combined SED and performs chi-square or likelihood analysis based on observed magnitudes.

Dependencies

The code requires the following Python packages: numpy, matplotlib, astropy, pyphot, extinction, and optionally selenium (for automatic downloads of grid data). The module also uses the spectool package available at https://github.com/zhang-zhixiang/spectool.