Omicron: a tool to characterize transient noise in gravitational-wave detectors

Florent Robinet; Nicolas Arnaud; Nicolas Leroy; Andrew Lundgren; Duncan Macleod; Jessica McIver

doi:10.1016/j.softx.2020.100620

Omicron: a tool to characterize transient noise in gravitational-wave detectors

Florent Robinet^*, Nicolas Arnaud, Nicolas Leroy, Andrew Lundgren, Duncan Macleod, Jessica McIver

^*Corresponding author for this work

Institute of Cosmology & Gravitation

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Abstract

The Omicron software is a tool developed to perform a multi-resolution time–frequency analysis of data from gravitational-wave detectors: the LIGO, Virgo, and KAGRA detectors. Omicron generates spectrograms from whitened data streams, offering a visual representation of transient detector noises and gravitational-wave events. In addition, these events can be parameterized with an optimized resolution. They can be written to disk to conduct offline noise characterization and gravitational-wave event validation studies. Omicron is optimized to process, in parallel, thousands of data streams recorded by gravitational-wave detectors. The Omicron software plays an important role in vetting gravitational-wave detection candidates and characterization of transient noise.

Original language	English
Article number	100620
Number of pages	6
Journal	SoftwareX
Volume	12
Early online date	13 Nov 2020
DOIs	https://doi.org/10.1016/j.softx.2020.100620
Publication status	Published - 1 Dec 2020

Keywords

Gravitational waves
LIGO–Virgo
Spectrogram
Transient noise
RCUK
STFC
ST/N000668/1

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10.1016/j.softx.2020.100620

1-s2.0-S2352711020303332-mainFinal published version, 1.45 MBLicence: CC BY-NC-ND

Data availability statement for 'Omicron: a tool to characterize transient noise in gravitational-wave detectors'.
Robinet, F. (Creator), Arnaud, N. (Creator), Leroy, N. (Creator), Lundgren, A. (Creator), Macleod, D. (Creator) & McIver, J. (Creator), Elsevier BV, 1 Dec 2020
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Cite this

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title = "Omicron: a tool to characterize transient noise in gravitational-wave detectors",

abstract = "The Omicron software is a tool developed to perform a multi-resolution time–frequency analysis of data from gravitational-wave detectors: the LIGO, Virgo, and KAGRA detectors. Omicron generates spectrograms from whitened data streams, offering a visual representation of transient detector noises and gravitational-wave events. In addition, these events can be parameterized with an optimized resolution. They can be written to disk to conduct offline noise characterization and gravitational-wave event validation studies. Omicron is optimized to process, in parallel, thousands of data streams recorded by gravitational-wave detectors. The Omicron software plays an important role in vetting gravitational-wave detection candidates and characterization of transient noise.",

keywords = "Gravitational waves, LIGO–Virgo, Spectrogram, Transient noise, RCUK, STFC, ST/N000668/1",

author = "Florent Robinet and Nicolas Arnaud and Nicolas Leroy and Andrew Lundgren and Duncan Macleod and Jessica McIver",

note = "Funding Information: Andrew Lundgren is supported by STFC, UK grant ST/N000668/1 . Duncan Macleod is supported by the European Union Horizon 2020 Framework Programme under grant agreement no. 663380-CU073 . This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center ( https://www.gw-openscience.org/ ), 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 della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. Publisher Copyright: {\textcopyright} 2020 Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",

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AU - Leroy, Nicolas

AU - Lundgren, Andrew

AU - Macleod, Duncan

AU - McIver, Jessica

N1 - Funding Information: Andrew Lundgren is supported by STFC, UK grant ST/N000668/1 . Duncan Macleod is supported by the European Union Horizon 2020 Framework Programme under grant agreement no. 663380-CU073 . This research has made use of data, software and/or web tools obtained from the Gravitational Wave Open Science Center ( https://www.gw-openscience.org/ ), 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 della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. Publisher Copyright: © 2020 Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/12/1

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N2 - The Omicron software is a tool developed to perform a multi-resolution time–frequency analysis of data from gravitational-wave detectors: the LIGO, Virgo, and KAGRA detectors. Omicron generates spectrograms from whitened data streams, offering a visual representation of transient detector noises and gravitational-wave events. In addition, these events can be parameterized with an optimized resolution. They can be written to disk to conduct offline noise characterization and gravitational-wave event validation studies. Omicron is optimized to process, in parallel, thousands of data streams recorded by gravitational-wave detectors. The Omicron software plays an important role in vetting gravitational-wave detection candidates and characterization of transient noise.

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SN - 2352-7110

VL - 12

JO - SoftwareX

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ER -

Omicron: a tool to characterize transient noise in gravitational-wave detectors

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Keywords

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Data availability statement for 'Omicron: a tool to characterize transient noise in gravitational-wave detectors'.

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