Polypilot product mascot

Introducing PolyPilot:

Our AI-Powered Mentorship Program

Start your trial today

Learn More
Go to Polygence Scholars page
Sriram Loganathan's cover illustration
Polygence Scholar2023
Sriram Loganathan's profile

Sriram Loganathan

Class of 2024Cupertino, CA

About

Hello! My name is Sriram and my project is on the detection of exoplanets using machine learning algorithms. I chose to work on this project because I am interested in outer space and because I also wanted to further my knowledge in AI. After my project is complete, I would like to continue learning about physics and writing more code.

Projects

  • "How can we use decision trees and machine learning models to assist in the discovery of exoplanets?" with mentor Kristen (Aug. 26, 2023)

Project Portfolio

How can we use decision trees and machine learning models to assist in the discovery of exoplanets?

Started June 22, 2023

Abstract or project description

Exoplanets are commonly detected through observations of the brightness and movement of the stars they orbit with the radial velocity and transit methods. In the past, machine learning algorithms have successfully been able to classify possible candidates as confirmed exoplanets and false positives. Machine learning algorithms when implemented can efficiently analyze large samples of data and automate the process of detection. In our research, we train a decision tree algorithm on training sets containing confirmed exoplanets and false positives from the Kepler Mission in the NASA Exoplanet Archive. From our research and training, we obtain a decision tree model with a [insert percentage] accuracy at detecting exoplanets. The decision tree algorithm is a viable option in classifying and detecting exoplanets as it showcases its efficacy and ability to do so. Machine learning algorithms here prove to be effective in astronomy and will continue to do so in the future.