| Original language | English |
|---|---|
| Article number | 245013 |
| Journal | Classical and Quantum Gravity |
| Volume | 39 |
| Issue number | 24 |
| DOIs | |
| Publication status | Published - 24 Nov 2022 |
Keywords
- data analysis methods
- glitch subtraction
- gravitational waves
- interferometer
- noise subtraction
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In: Classical and Quantum Gravity, Vol. 39, No. 24, 245013, 24.11.2022.
Research output: Contribution to journal › Article › peer-review
TY - JOUR
T1 - Subtracting glitches from gravitational-wave detector data during the third LIGO-Virgo observing run
AU - Davis, D.
AU - Littenberg, T. B.
AU - Romero-Shaw, I. M.
AU - Millhouse, M.
AU - McIver, J.
AU - Di Renzo, F.
AU - Ashton, G.
N1 - Funding Information: The authors thank the LIGO-Virgo-KAGRA Detector Characterization and Parameter Estimation groups for their input and suggestions during the development of this work. We thank Sophie Hourihane and Katerina Chatziioannou for discussions about BayesWave . We also thank Ronaldas Macas for their comments during internal review of this paper. D D is supported by the NSF as a part of the LIGO Laboratory. I M R-S acknowledges support received from the Herchel Smith Postdoctoral Fellowship Fund. Funding Information: This material is based upon work supported by NSF’s LIGO Laboratory which is a major facility fully funded by the National Science Foundation. 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 P2200192. Funding Information: Parts of this research are supported by the Australian Research Council (ARC) Centre of Excellence for Gravitational Wave Discovery (OzGrav) (Project Number CE170100004) and ARC Discovery Project DP170103625. Publisher Copyright: © 2022 IOP Publishing Ltd.
PY - 2022/11/24
Y1 - 2022/11/24
KW - data analysis methods
KW - glitch subtraction
KW - gravitational waves
KW - interferometer
KW - noise subtraction
UR - http://www.scopus.com/inward/record.url?scp=85143125893&partnerID=8YFLogxK
U2 - 10.1088/1361-6382/aca238
DO - 10.1088/1361-6382/aca238
M3 - Article
AN - SCOPUS:85143125893
SN - 0264-9381
VL - 39
JO - Classical and Quantum Gravity
JF - Classical and Quantum Gravity
IS - 24
M1 - 245013
ER -