Automated Classification of Periodic Variable Stars Using Machine Learning
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Updated
Nov 28, 2017 - Python
Automated Classification of Periodic Variable Stars Using Machine Learning
Non-parametric Lomb Scargle
Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.
Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.
The Light Curve Collection Server framework
MiraPy: A Python package for Deep Learning in Astronomy
Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.
This is a basic tutorial in data processing with TOPCAT
Python project to find pulsation period of a cepheid star
Variable Stars Classification by their light curves.
Python modules for light curve work and variable star astronomy
lcplot – a lightweight program to plot light curves of variable stars
Using VaST and astropy to measure lightcurves of known and unknown variable stars
A set of tools for photometric analysis. Determines the period of short-period variable stars.
Open, versioned taxonomy for astronomical time-series sources
Fortran code that fits a third-order spline through noisy data; based on Reinsch (1967)
Analysis-of-variance time-series analysis based on the method of Schwarzenberg-Czerny (1989)
Python Example Code to use the lightkurve lib to analyse variable stars
Two Color Photometry using Photutils.psf (model fitting photometry)
This repository contains all the code (in the form of Jupyter Notebooks) to reproduce the results in our paper, "Light Curve Classification with DistClassiPy: a new distance-based classifier"
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