VarStar Detect: a Python']Python library dedicated to the semi-automatic detection of stellar variability

被引：0
作者：
Jorge, P. G. [1 ]
Nicolas, C. A. [2 ]
Andres, C. B. [3 ]
机构：
[1] UCL, Dept Phys & Astron, Gower St, London WC1E 6BT, England
[2] Univ Oviedo, Fac Ciencias, C Federico Garcia Lorca,18, Oviedo 33007, Spain
[3] Univ Oviedo, Escuela Ingn Informat, Calle Valdes Salas,11, Oviedo 33007, Spain
来源：
ADVANCES IN ASTRONOMY AND SPACE PHYSICS | 2022年 / 12卷 / 1-2期
关键词：
methods: data analysis; techniques: photometric; stars: variables; VARIABLE-STARS;
D O I：
暂无
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
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 trigonometric 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.
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