MIDS Capstone Project Fall 2020

Exoplanet Discovery

ExoPlanet Discovery uses machine learning techniques to help astronomers and scientists understand the different algorithms used to detect exoplanets. Using data from NASA’s Kepler and TESS satellite missions, which contain graphical views of star brightness over time called threshold crossing events, we are applying known existing planet validation algorithms and comparing these results on a user-friendly website. In addition, we have built our own detection algorithm model that slightly improves the accuracy of exoplanet validation.

Last updated:

December 2, 2020