Python modules for light curve work and variable star astronomy
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Updated
Jul 15, 2024 - Python
Python modules for light curve work and variable star astronomy
Periodic time series analysis tools based on information theory
A general photodynamical code for exoplanet light curves
Package for machine learning of astronomical objects such as light curves
Create light curves from UVIT data.
A cosmological GRB light curve simulator. Because, why not?
PANOPTES Data Processing Pipeline
A Python package for general astrophysical light curve classification
Programs to obtain planet parameters from phase-folded light curves from the Kepler satellite, run with QMUL
Find out if there are new planets using Deep Learning
The Light Curve Collection Server framework
Python3 tools for time series analysis.
SuperNova Analysis Package
Python code for working with light curves of variable stars
Photometric light curves classification with machine learning
TVET is a CLI tool for analyzing 3D asteroid models in OBJ format. It computes mesh geometry, photometric cosines, fluxes, and light curves using selectable scattering laws. The tool also supports plotting light curves and interactive visualization of asteroid geometry and photometric data.
The Z2n periodogram is used to find the period of a given time series
A simple pure-python web browser application using Bokeh to visualize, inspect and label periodic astronomical time series
Light curve plotter in Python - visualizes TESS, Kepler etc. data from FITS files.
This Streamlit app allows you to visualize Gamma-Ray Burst (GRB) light curves.
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