This project deals with the application of ML in Gravitational wave astronomy. Using a mixture of Exopnential Regression and Random Forests we work on Gravitational wave strain data to be able to extrapolate scenarios of black holes to other celestial bodies such as Exoplanets. We recreate strain data for Exoplanets and classify them according to their designated Mass Class with 89% Accuracy.
rahul-aedula95/Gravitational_waves_classification
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
This repository contains Gravitational Wave numerical relativity based classification for Planets. It uses a few basic Machine Learning Algorithms in Python to get the Job done
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published