Collaborative platform for time-domain astronomy
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Updated
Sep 19, 2024 - Python
Collaborative platform for time-domain astronomy
Astronomical data platform for the Zwicky Transient Facility.
Python modules for light curve work and variable star astronomy
MiraPy: A Python package for Deep Learning in Astronomy
Open, versioned taxonomy for astronomical time-series sources
VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO
Using VaST and astropy to measure lightcurves of known and unknown variable stars
Eclipsing binary star research package to efficiently analyze eclipsing binary systems.
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"
Fortran code that fits a third-order spline through noisy data; based on Reinsch (1967)
Variable Stars Classification by their light curves.
The Light Curve Collection Server framework
Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.
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
A set of tools for photometric analysis. Determines the period of short-period variable stars.
Python project to find pulsation period of a cepheid star
Automated Classification of Periodic Variable Stars Using Machine Learning
Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.
Two Color Photometry using Photutils.psf (model fitting photometry)
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