The Light Curve Collection Server framework
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Updated
Mar 8, 2020 - Python
The Light Curve Collection Server framework
Photometric light curves classification with machine learning
Light curve classification web app
This is a toolbox written in Mathematica, providing basic tools to analyse light curve data from surveys.
The Z2n periodogram is used to find the period of a given time series
Find out if there are new planets using Deep Learning
Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.
Maps a light curve to a transit shape.
A Python package for general astrophysical light curve classification
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.
Python code for working with light curves of variable stars
Programs to obtain planet parameters from phase-folded light curves from the Kepler satellite, run with QMUL
POC dEB ingest pipeline for jktebop with parameter estimation by ML model.
Web interface for viewing asteroid models and generating their corresponding light curves. NASA Space Apps Global Winner 2021 - "Best use of data"
Exoplanet Candidate Detection with Active Learning AI
Stacked random forest ensemble for classifying astronomical light curves in the PLAsTiCC Kaggle competition.
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"
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
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