/sed-analysis-tools

A python module to model, fit and analyse single and binary spectral energy distributions (SEDs).

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

sed_analysis_tools

A Python module to model, fit and analyse single and binary spectral energy distributions (SEDs). This theory behind the code, and the method it implements, are described in Jadhav (2024, in prep).

Installation

pip install sed_analysis_tools

Requirements: python>=3.10, astropy>=6.0, matplotlib>=3.7, numpy>=1.24, pandas>=2.0, scipy>=1.12, tqdm>=1.12

The module will download models (e.g. isochrones) and filter transmission curves as required into a $HOME/.sed_analysis_tools (or equivalent) folder.

Getting started

getting_started and examples/ contains some guides and jupyter notebooks. The examples/ also contains the code required to recreate the data and plots given in the publication.

Understanding the recoverability of binary system using SED for a given filter set and noise levels. recoverability

Estimating SED fitting errors assuming blackbody approximation. And visualizing the possible degeneracy due to nearby secondaries resulting in similar HRD position. error_estimation

Citing sed_analysis_tools

If you use this code for your work, kindly include a citation for this code DOI and accompanying paper.

Jadhav (2025) On the detectability and parameterisation of binary stars through spectral energy distributions, Journal of Astrophysics & Astronomy, in press, 2024arXiv241205606J

@software{jikrant3_2024_13789847,
author       = {{Jadhav}, Vikrant V.},
title        = {jikrant3/sed-analysis-tools},
month        = Nov,
year         = 2024,
publisher    = {Zenodo},
version      = {v1.2.0},
doi          = {10.5281/zenodo.13789847},
url          = {https://doi.org/10.5281/zenodo.13789847}
}

@ARTICLE{2024arXiv241205606J,
       author = {{Jadhav}, Vikrant V.},
        title = "{On the detectability and parameterisation of binary stars through spectral energy distributions}",
      journal = {arXiv e-prints},
     keywords = {Astrophysics - Solar and Stellar Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
         year = 2024,
        month = dec,
          eid = {arXiv:2412.05606},
        pages = {arXiv:2412.05606},
archivePrefix = {arXiv},
       eprint = {2412.05606},
 primaryClass = {astro-ph.SR},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2024arXiv241205606J},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}