Autor: |
Florent Robinet, Nicolas Arnaud, Nicolas Leroy, Andrew Lundgren, Duncan Macleod, Jessica McIver |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
SoftwareX, Vol 12, Iss , Pp 100620- (2020) |
Druh dokumentu: |
article |
ISSN: |
2352-7110 |
DOI: |
10.1016/j.softx.2020.100620 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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