Python modules for light curve work and variable star astronomy
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Updated
Mar 22, 2022 - Python
Python modules for light curve work and variable star astronomy
Periodic time series analysis tools based on information theory
PANOPTES Data Processing Pipeline
A cosmological GRB light curve simulator. Because, why not?
Package for machine learning of astronomical objects such as light curves
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…
VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO
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
SuperNova Analysis Package
Fulu is a python library of supernova light curves approximation methods based on machine learning.
Create light curves from UVIT data.
Create and manipulate stellar light curves!
Spike-train kernel for astronomical X-ray time series
A simple pure-python web browser application using Bokeh to visualize, inspect and label periodic astronomical time series
Unsupervised deep learning for exoplanet detection
Public repository of our works in Exoplanet analysis with Deep Learning
A general photodynamical code for exoplanet light curves
MATIC stands for Multiband Astronomical TIme-series Classifier
Python3 tools for time series analysis.
Python module for estimation of cross-correlation function of astronomical time-series based on the ZDCF method.
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