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, 981.1 kB)

Other Files:

• Abstract (Abstract.docx, 12.5 kB)
• Abstract (Abstract_final.pdf, 29.8 kB)
• Interim Report 1 (interim_report1_draft2.pdf, 250.4 kB)
• Interim Report 2 (interim report 2 - final.pdf, 255.3 kB)
• Interim Report 2 (interim_report2.pdf, 254.3 kB)
• Presentation (Final Talk.key, 8.8 MB)
• Project proposal (utilizing-machine-learning-project-proposal.pdf, 122.0 kB)

Topics:

• Machine Learning
• Detector Characterization
• Compact Binaries

Authors:

• Sarah McCarthy
• Thomas Massinger
• Jess McIver

Keywords:

SURF18

Referenced by:

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