Utilizing Machine Learning to Improve Searches for LIGO Sources

Document #:

LIGO-T1800282-v1

Document type:

T - Technical notes

Abstract:

Documents for summer 2018 SURF student Sarah McCarthy - Grinnell College

Files in Document:

• Final Paper (Sarah_McCarthy_final-paper.pdf, file is not accessible)

Other Files:

• Abstract (Abstract.docx, file is not accessible)
• Abstract (Abstract_final.pdf, file is not accessible)
• Interim Report 1 (interim_report1_draft2.pdf, file is not accessible)
• Interim Report 2 (interim report 2 - final.pdf, file is not accessible)
• Interim Report 2 (interim_report2.pdf, file is not accessible)
• Presentation (Final Talk.key, file is not accessible)
• Project proposal (utilizing-machine-learning-project-proposal.pdf, file is not accessible)

Topics:

• Compact Binaries
• Machine Learning
• Detector Characterization

Authors:

• Sarah McCarthy
• Thomas Massinger
• Jess McIver

Keywords:

SURF18

Referenced by:

• LIGO-T1900127: Final reports from LIGO SURF program, Summer 2018