Looking Mass: Detecting and Analyzing Gravitational Lensing

Loading...
Thumbnail Image

Authors

Park, Ethan M.

Issue Date

2020-05-01

Type

Thesis

Language

en_US

Keywords

Research Projects

Organizational Units

Journal Issue

Alternative Title

Abstract

Gravitational lensing occurs when light is distorted by gravity and its presence can cause distortions in images of space. Manual calculations to detect gravitational lensing can be slow and cumbersome, and the use of machine learning methods such as CNNs are impeded by the fact that there are not enough images containing gravitational lensing to create large datasets. Looking Mass is an open-source software application that modifies source images to produce new images that realistically simulate gravitational lensing. The team intends for datasets generated from Looking Mass to be used for gravitational lensing detection methods.

Description

The University of Nevada, Reno Libraries will promptly respond to removal requests related to content that violates intellectual property laws, data protections, or has been uploaded without creator consent. Takedown notices should be directed to our ScholarWolf team (scholarwolf@library.unr.edu) with information about the object, including its full URL and the nature of your complaint.

Citation

Publisher

License

Creative Commons Attribution 4.0 United States

Journal

Volume

Issue

PubMed ID

DOI

ISSN

EISSN