A collection of Machine Learning models that detect if a star system contains exoplanets.
-
Updated
Mar 5, 2022 - Jupyter Notebook
A collection of Machine Learning models that detect if a star system contains exoplanets.
PlanetFinder is a Python-based tool designed for the detection and analysis of exoplanets using light curve data from the TESS mission. Leveraging the Lightkurve library, it allows users to search for, visualize, and analyze potential exoplanet transits, making it an ideal resource for both citizen scientists and professional astronomers.
Used Python 3.9, used packageUsed NASA’s MAST Archive for Space Telescopes data to provide the AI with accurate results to determine if the planet is an exoplanet.
Python Example Code to use the lightkurve lib to analyse variable stars
This repository contains submission for the intra-college astronomy hackathon
My personal codes using Lightkurve package to download, treating and analysis TESS light curves
Add a description, image, and links to the lightkurve topic page so that developers can more easily learn about it.
To associate your repository with the lightkurve topic, visit your repo's landing page and select "manage topics."