Metric assisted stochastic sampling search for gravitational waves from binary black hole mergers
- Creators
- Hanna, Chad
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Joshi, Prathamesh
- Huxford, Rachael
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Cannon, Kipp
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Caudill, Sarah
- Chan, Chiwai
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Cousins, Bryce
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Creighton, Jolien D. E.
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Ewing, Becca
- Fernandez, Miguel
- Fong, Heather
- Godwin, Patrick
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Magee, Ryan
- Meacher, Duncan
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Messick, Cody
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Morisaki, Soichiro
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Mukherjee, Debnandini
- Ohta, Hiroaki
- Pace, Alexander
- Privitera, Stephen
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Sachdev, Surabhi
- Sakon, Shio
- Singh, Divya
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Tapia, Ron
- Tsukada, Leo
- Tsuna, Daichi
- Tsutsui, Takuya
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Ueno, Koh
- Viets, Aaron
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Wade, Leslie
- Wade, Madeline
- Wang, Jonathan
Abstract
We present a novel gravitational-wave detection algorithm that conducts a matched-filter search stochastically across the compact binary parameter space rather than relying on a fixed bank of template waveforms. This technique is competitive with standard template-bank-driven pipelines in both computational cost and sensitivity. However, the complexity of the analysis is simpler, allowing for easy configuration and horizontal scaling across heterogeneous grids of computers. To demonstrate the method we analyze approximately one month of public LIGO data from July 27 00:00 2017 UTC–Aug 25 22:00 2017 UTC and recover eight known confident gravitational-wave candidates. We also inject simulated binary black hole signals to demonstrate the sensitivity.
Additional Information
© 2022 American Physical Society. This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center, a service of LIGO Laboratory, the LIGO Scientific Collaboration and the Virgo Collaboration. LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, and Spain. This work was supported by National Science Foundation Grants No. OAC-1841480, No. PHY-2011865, and No. OAC-2103662. Computations for this research were performed on Pennsylvania State University's Institute for Computational and Data Sciences gravitational-wave cluster. C. H. acknowledges generous support from the Eberly College of Science, the Department of Physics, the Institute for Gravitation and the Cosmos, the Institute for Computational and Data Sciences, and the Freed Early Career Professorship.Attached Files
Published - PhysRevD.106.084033.pdf
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Additional details
- Eprint ID
- 118215
- Resolver ID
- CaltechAUTHORS:20221202-907217500.12
- OAC-1841480
- NSF
- PHY-2011865
- NSF
- OAC-2103662
- NSF
- Science and Technology Facilities Council (STFC)
- Max-Planck-Society
- State of Niedersachsen/Germany
- Australian Research Council
- European Gravitational Observatory
- Centre National de la Recherche Scientifique (CNRS)
- Istituto Nazionale di Fisica Nucleare (INFN)
- Nikhef
- Eberly College of Science
- Pennsylvania State University
- Created
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2023-01-05Created from EPrint's datestamp field
- Updated
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2023-06-01Created from EPrint's last_modified field
- Caltech groups
- LIGO