TY - JOUR
T1 - Virgo detector characterization and data quality: results from the O3 run
AU - Virgo Detector Characterization and Data Quality Group
AU - Cabourn Davies, Gareth Stephen
AU - Mozzon, Simone
AU - Tolley, Arthur Ellis
AU - Williamson, Andrew Robert
N1 - 40 pages + acknowledgements, author information and references, 19 figures
PY - 2023/8/14
Y1 - 2023/8/14
N2 - The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected GW signals in the past few years, alongside the two Advanced LIGO instruments. First during the last month of the Observation Run 2 (O2) in August 2017 (with, most notably, the compact binary mergers GW170814 and GW170817), and then during the full Observation Run 3 (O3): an 11 months data taking period, between April 2019 and March 2020, that led to the addition of 79 events to the catalog of transient GW sources maintained by LIGO, Virgo and now KAGRA. These discoveries and the manifold exploitation of the detected waveforms benefit from an accurate characterization of the quality of the data, such as continuous study and monitoring of the detector noise sources. These activities, collectively named detector characterization and data quality or DetChar, span the whole workflow of the Virgo data, from the instrument front-end hardware to the final analyses. They are described in detail in the following article, with a focus on the results achieved by the Virgo DetChar group during the O3 run. Concurrently, a companion article describes the tools that have been used by the Virgo DetChar group to perform this work.
AB - The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected GW signals in the past few years, alongside the two Advanced LIGO instruments. First during the last month of the Observation Run 2 (O2) in August 2017 (with, most notably, the compact binary mergers GW170814 and GW170817), and then during the full Observation Run 3 (O3): an 11 months data taking period, between April 2019 and March 2020, that led to the addition of 79 events to the catalog of transient GW sources maintained by LIGO, Virgo and now KAGRA. These discoveries and the manifold exploitation of the detected waveforms benefit from an accurate characterization of the quality of the data, such as continuous study and monitoring of the detector noise sources. These activities, collectively named detector characterization and data quality or DetChar, span the whole workflow of the Virgo data, from the instrument front-end hardware to the final analyses. They are described in detail in the following article, with a focus on the results achieved by the Virgo DetChar group during the O3 run. Concurrently, a companion article describes the tools that have been used by the Virgo DetChar group to perform this work.
KW - Gravitational waves
KW - detector characterization
KW - Virgo
KW - STFC
KW - UKRI
UR - https://doi.org/10.48550/arXiv.2205.01555
U2 - 10.1088/1361-6382/acd92d
DO - 10.1088/1361-6382/acd92d
M3 - Article
SN - 0264-9381
VL - 40
JO - Classical and Quantum Gravity
JF - Classical and Quantum Gravity
IS - 18
M1 - 185006
ER -