Collaborative platform for time-domain astronomy
-
Updated
Nov 8, 2024 - Python
Collaborative platform for time-domain astronomy
Python modules for light curve work and variable star astronomy
MiraPy: A Python package for Deep Learning in Astronomy
Astronomical data platform for the Zwicky Transient Facility.
Open, versioned taxonomy for astronomical time-series sources
VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO
A set of tools for photometric analysis. Determines the period of short-period variable stars.
Eclipsing binary star research package to efficiently analyze eclipsing binary systems.
The Light Curve Collection Server framework
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"
Using VaST and astropy to measure lightcurves of known and unknown variable stars
Non-parametric Lomb Scargle
Variable Stars Classification by their light curves.
Non Uniform Discrete Fourier Transform applied to OGLE-III Type 1 Cepheid photometry database.
Two Color Photometry using Photutils.psf (model fitting photometry)
lcplot – a lightweigth program for plotting light curves of variable stars using AAVSO data
Python code for working with light curves of variable stars
Fortran code that fits a third-order spline through noisy data; based on Reinsch (1967)
Python project to find pulsation period of a cepheid star
Analysis-of-variance time-series analysis based on the method of Schwarzenberg-Czerny (1989)
Add a description, image, and links to the variable-stars topic page so that developers can more easily learn about it.
To associate your repository with the variable-stars topic, visit your repo's landing page and select "manage topics."