There are 1 repository under light-curves topic.
Python modules for light curve work and variable star astronomy
A general photodynamical code for exoplanet light curves
Fulu is a python library of supernova light curves approximation methods based on machine learning.
Package for machine learning of astronomical objects such as light curves
Python module for estimation of cross-correlation function of astronomical time-series based on the ZDCF method.
Create and manipulate stellar light curves!
VStar is a visualisation and analysis tool for variable star data brought to you by AAVSO
PANOPTES Data Processing Pipeline
Programs to obtain planet parameters from phase-folded light curves from the Kepler satellite, run with QMUL
Maps a light curve to a transit shape.
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 objects, and will be tested on LSST Data Previews, as well as on other datasets through NOIRLab services.
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
The Light Curve Collection Server framework
Python package for retrieval of properties of exoplanets by model-fitting their transit light curves using MCMC with additional features such as detrending of light curves, GP regression, and continuous monitoring of the retrieval process.
Python3 tools for time series analysis.
Photometric light curves classification with machine learning
This is a toolbox written in Mathematica, providing basic tools to analyse light curve data from surveys.
Web interface for viewing asteroid models and generating their corresponding light curves. NASA Space Apps Global Winner 2021 - "Best use of data"
Stacked random forest ensemble for classifying astronomical light curves in the PLAsTiCC Kaggle competition.
Find out if there are new planets using Deep Learning
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"
Unsupervised deep learning for exoplanet detection
The Z2n periodogram is used to find the period of a given time series
Python code for working with light curves of variable stars
Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.
Exoplanet Candidate Detection with Active Learning AI
A simple pure-python web browser application using Bokeh to visualize, inspect and label periodic astronomical time series
Spike-train kernel for astronomical X-ray time series