Journal article
LIGO detector characterization in the second and third observing runs
D Davis, JS Areeda, BK Berger, R Bruntz, A Effler, RC Essick, RP Fisher, P Godwin, E Goetz, AF Helmling-Cornell, B Hughey, E Katsavounidis, AP Lundgren, DM Macleod, Z Marka, TJ Massinger, A Matas, J McIver, G Mo, K Mogushi Show all
CLASSICAL AND QUANTUM GRAVITY | IOP PUBLISHING LTD | Published : 2021
Abstract
The characterization of the Advanced LIGO detectors in the second and third observing runs has increased the sensitivity of the instruments, allowing for a higher number of detectable gravitational-wave signals, and provided confirmation of all observed gravitational-wave events. In this work, we present the methods used to characterize the LIGO detectors and curate the publicly available datasets, including the LIGO strain data and data quality products. We describe the essential role of these datasets in LIGO–Virgo Collaboration analyses of gravitational-waves from both transient and persistent sources and include details on the provenance of these datasets in order to support analyses of ..
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Awarded by National Science Foundation
Funding Acknowledgements
The authors would like to thank members of the Virgo and KAGRA detector characterization groups who have contributed to an environment of open collaboration that enabled this work. The authors gratefully acknowledge the support of the United States National Science Foundation (NSF) for the construction and operation of the LIGO Laboratory and Advanced LIGO as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, and the Max-Planck-Society (MPS) for support of the construction of Advanced LIGO. Additional support for Advanced LIGO was provided by the Australian Research Council. LIGO was constructed by the California Institute of Technology and Massachusetts Institute of Technology with funding from the National Science Foundation, and operates under cooperative agreement PHY-1764464. Advanced LIGO was built under award PHY-0823459. The authors are grateful for computational resources provided by the LIGO Laboratory and supported by National Science Foundation Grants PHY-0757058 and PHY-0823459. This work carries LIGO Document number P2000495. We would like to thank all of the essential workers who put their health at risk during the COVID-19 pandemic, without whom we would not have been able to complete this work.