Vetoes for Inspiral Triggers in LIGO Data

TL;DR

This paper discusses the development and evaluation of veto strategies to improve the reliability of inspiral trigger detections in LIGO's gravitational wave data, based on analysis of environmental and control signals from initial science runs.

Contribution

It introduces specific veto methods for LIGO's inspiral data analysis, enhancing the accuracy of gravitational wave detection during early science runs.

Findings

Vetoes effectively reduced false triggers in LIGO data.

Environmental and control channels help identify non-astrophysical signals.

Veto strategies improved the confidence in inspiral trigger results.

Abstract

Presented is a summary of studies by the LIGO Scientific Collaboration's Inspiral Analysis Group on the development of possible vetoes to be used in evaluation of data from the first two LIGO science data runs. Numerous environmental monitor signals and interferometer control channels have been analyzed in order to characterize the interferometers' performance. The results of studies on selected data segments are provided in this paper. The vetoes used in the compact binary inspiral analyses of LIGO's S1 and S2 science data runs are presented and discussed.