Statistical Data Quality Information of LIGO Detectors and Incorporation into the Low-Latency GstLAL Analysis

ORAL

Abstract

We present updates to iDQ, a statistical data quality pipeline which monitors the auxiliary states of gravitational-wave interferometers to predict the presence of transient noise in the data. We discuss the impact of incorporation of iDQ into the low-latency GstLAL analysis, a matched filter gravitational-wave search pipeline used in LIGO's third observing run.

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Publication: Statistical Data Quality Information of LIGO Detectors and Incorporation into the Low-Latency GstLAL Analysis during LIGO's fourth observing run (planned)

Presenters

  • Rachael Huxford

    Pennsylvania State University

Authors

  • Rachael Huxford

    Pennsylvania State University

  • Patrick Godwin

    Caltech

  • Chad R Hanna

    Pennsylvania State University