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Published March 7, 2019 | public
Journal Article Open

Improving the sensitivity of Advanced LIGO using noise subtraction


This paper presents an adaptable, parallelizable method for subtracting linearly coupled noise from Advanced LIGO data. We explain the features developed to ensure that the process is robust enough to handle the variability present in Advanced LIGO data. In this work, we target subtraction of noise due to beam jitter, detector calibration lines, and mains power lines. We demonstrate noise subtraction over the entirety of the second observing run, resulting in increases in sensitivity comparable to those reported in previous targeted efforts. Over the course of the second observing run, we see a 30% increase in Advanced LIGO sensitivity to gravitational waves from a broad range of compact binary systems. We expect the use of this method to result in a higher rate of detected gravitational-wave signals in Advanced LIGO data.

Additional Information

© 2019 IOP Publishing Ltd. Received 14 September 2018, revised 23 December 2018; Accepted for publication 24 January 2019; Published 13 February 2019. We would like to thank the aLIGO commissioners and the Detector Characterization group for identifying and characterizing the noise sources addressed, as well as the PyCBC search group for devselopment of the injection sets used in this work. We also thank review team members Gabriele Vajente and Francesco Salemi for helpful discussions during development, along with Jess McIver and Marissa Walker for their comments during the during the internal review process. Computing support for this project was provided by the LDAS computing cluster at the California Institute of Technology. DD acknowledges support from NSF award PHY-1607169. LKN received funding from the European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 663830. TJM acknowledges support from the LIGO Laboratory. 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-0757058. This paper carries LIGO Document Number LIGO-P1800169. The authors thank the LIGO Scientific Collaboration for access to the data and 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.

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August 19, 2023
August 19, 2023