Veto Studies for LIGO Inspiral Triggers

TL;DR

This paper reviews the veto and data quality studies performed during LIGO's third science run (S3) to improve the detection of binary inspiral signals by analyzing detector and environmental data for coincident noise events.

Contribution

It provides a comprehensive summary of the veto strategies and data quality assessments used in the S3 LIGO data analysis for inspiral searches.

Findings

Identification of noise sources affecting inspiral triggers

Implementation of vetoes to reduce false alarms

Enhanced data quality for inspiral detection

Abstract

LIGO recently conducted its third scientific data run, S3. Here we summarize the veto and data quality studies conducted by the LIGO Scientific Collaboration in connection with the search for binary inspiral signals in the S3 data. LIGO's interferometer channels and physical environmental monitors were monitored, and events in these channels coincident with inspiral triggers were examined.