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PyCBC: Gravitational-wave data analysis toolkit

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Ada Coda
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PyCBC: Gravitational-wave data analysis toolkit

Postby Ada Coda » Thu May 31, 2018 6:09 pm

PyCBC: Gravitational-wave data analysis toolkit

Abstract: PyCBC analyzes data from gravitational-wave laser interferometer detectors, finds signals, and studies their parameters. It contains algorithms that can detect coalescing compact binaries and measure the astrophysical parameters of detected sources. PyCBC was used in the first direct detection of gravitational waves by LIGO and is used in the ongoing analysis of LIGO and Virgo data.

Credit: The PyCBC team

Site: https://pycbc.org/
http://adsabs.harvard.edu/abs/2014PhRvD..90h2004D

Bibcode: 2018ascl.soft05030T

Preferred citation method: Please see citation information here: http://pycbc.org/pycbc/latest/html/credit.html

ID: ascl:1805.030
Last edited by Ada Coda on Sun Jun 10, 2018 7:47 pm, edited 1 time in total.
Reason: Updated code entry.

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