VarStar Detect is a Python package available on PyPI optimized for the detection of variability inside photometric measurements. Based off of the Least Squares method of regression, VarStar Detect calculates the amplitude of a Fourier Polynomial fit of the data as a measure of variability to assess if the star is indeed variable. This work shows the mathematical background of the package and an analysis of the code's functionality on TESS Sector 1 Data.
@article{arxiv.2109.06347,
title = {VarStar Detect, a Python library dedicated to the semi-automatic detection of stellar variability},
author = {Jorge Perez Gonzalez and Nicolas Carrizosa Arias and Andres Cadenas Blanco},
journal= {arXiv preprint arXiv:2109.06347},
year = {2023}
}