Search

Author:

Pryal, Matthew

Title:

Utilizing Swift-XRT Data to Identify Source Classes in Fermi Unassociated Objects

Area of Honors:

Astronomy and Astrophysics

Keywords:

Fermi
Swift
X-rays
Gamma-rays
Data Mining
Machine Learning
Astrostatistics

File:

Download matthew_pryal_honors_thesis.pdf

Thesis Supervisors:

Abraham David Falcone, Thesis Supervisor
Alexander Wolszczan, Thesis Honors Advisor