We present updates to GstLAL, a matched filter gravitational-wave search pipeline, in Advanced LIGO and Virgo's third observing run. We discuss the incorporation of statistical data quality information into GstLAL's multi-dimensional likelihood ratio ranking statistic and additional improvements to search for gravitational wave candidates found in only one detector. Statistical data quality information is provided by iDQ, a data quality pipeline that infers the presence of short-duration transient noise in gravitational-wave data using the interferometer's auxiliary state, which has operated in near real-time since before LIGO's first observing run in 2015. We look at the performance and impact on noise rejection by the inclusion of iDQ information in GstLAL's ranking statistic, and discuss GstLAL results in the GWTC-2 catalog, focusing on two case studies; GW190424A, a single-detector gravitational-wave event found by GstLAL and a period of time in Livingston impacted by a thunderstorm.
@article{arxiv.2010.15282,
title = {Incorporation of Statistical Data Quality Information into the GstLAL Search Analysis},
author = {Patrick Godwin and Reed Essick and Chad Hanna and Kipp Cannon and Sarah Caudill and Chiwai Chan and Jolien D. E. Creighton and Heather Fong and Erik Katsavounidis and Ryan Magee and Duncan Meacher and Cody Messick and Soichiro Morisaki and Debnandini Mukherjee and Hiroaki Ohta and Alexander Pace and Iris de Ruiter and Surabhi Sachdev and Leo Tsukada and Takuya Tsutsui and Koh Ueno and Leslie Wade and Madeline Wade},
journal= {arXiv preprint arXiv:2010.15282},
year = {2020}
}