VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO
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Updated
Jun 10, 2024 - Java
VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO
Python3 tools for time series analysis.
Python code for working with light curves of variable stars
Periodic time series analysis tools based on information theory
Python module for estimation of cross-correlation function of astronomical time-series based on the ZDCF method.
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"
Fulu is a python library of supernova light curves approximation methods based on machine learning.
Create light curves from UVIT data.
Programs to obtain planet parameters from phase-folded light curves from the Kepler satellite, run with QMUL
A Python package for general astrophysical light curve classification
POC dEB ingest pipeline for jktebop with parameter estimation by ML model.
SuperNova Analysis Package
Create and manipulate stellar light curves!
Repository with the tools and scripts for "Robust period estimation using mutual information for multi-band light curves in the synoptic survey era", ApJ, 2017
MATIC stands for Multiband Astronomical TIme-series Classifier
Find out if there are new planets using Deep Learning
A cosmological GRB light curve simulator. Because, why not?
This is a toolbox written in Mathematica, providing basic tools to analyse light curve data from surveys.
Developing deep learning engines (DLEs) for non-parametric modeling and extracting of information from active galactic nuclei (AGN) light-curves (LCs), which are directly related to the scientific objectives of the LSST Exploring transient optical sky. Developed DLEs Jupyter notebooks might be adaptable for modeling of light-curves of other obje…
PANOPTES Data Processing Pipeline
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