Use of the Bayes Factor to Improve the Detection of Binary Black Hole Systems

Document #:

LIGO-T1600254-v1

Document type:

T - Technical notes

Abstract:

Potential gravitational wave strains might be lost in the signal data as they have a low SNR value. This summer (Summer 2016), I will be working with Dr. Rory Smith and Dr. Jonah Kanner to implement a new detection statistic that may be able to rank candidate events in a more robust manner than SNR. This detection statistic might be able to better discern between strains due to noise and strains due to gravitational waves. The detection statistic will involve calculating the Bayes facor, and this study will be focused on binary black hole systems.

Files in Document:

• Final Report (SURF 2016) (AviVajpeyi_finalReport.pdf, file is not accessible)
• Presentation PDF (AviVajpeyi_PresentationLIGO16.pdf, file is not accessible)

Other Files:

• 1st Project Report (AviVajpeyi_Report1_2016Jul5.pdf, file is not accessible)
• Presentation PPT (AviVajpeyi_PresentationLIGO16.pptx, file is not accessible)
• Progress Report 2 (AviVajpeyi_LIGOResearchRept2.pdf, file is not accessible)
• Project Proposal (AviVajpeyi_ResearchProposal.pdf, file is not accessible)

Topics:

• Compact Binaries
• Data Analysis

Author Groups:

• LSC

Keywords:

Glitches Bayesian Statistics Bayes Factor SURF16

Notes and Changes:

Avi Vajpeyi SURF 2016
Research Proposal
Progress reports
Final presentation
Final paper

Referenced by:

• LIGO-T1700002: Final reports from LIGO SURF program, Summer 2016