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  PyFstat: a Python package for continuous gravitational-wave data analysis

Keitel, D., Tenorio, R., Ashton, G., & Prix, R. (2021). PyFstat: a Python package for continuous gravitational-wave data analysis. Journal of Open Source Software, 6(60): 3000. doi:10.21105/joss.03000.

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 Creators:
Keitel, David, Author
Tenorio, Rodrigo, Author
Ashton, Gregory, Author
Prix, Reinhard1, Author           
Affiliations:
1Searching for Continuous Gravitational Waves, AEI-Hannover, MPI for Gravitational Physics, Max Planck Society, ou_2630691              

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Free keywords: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 Abstract: Gravitational waves in the sensitivity band of ground-based detectors can be
emitted by a number of astrophysical sources, including not only binary
coalescences, but also individual spinning neutron stars. The most promising
signals from such sources, although not yet detected, are long-lasting,
quasi-monochromatic Continuous Waves (CWs). The PyFstat package provides tools
to perform a range of CW data-analysis tasks. It revolves around the
F-statistic, a matched-filter detection statistic for CW signals that has been
one of the standard methods for LIGO-Virgo CW searches for two decades. PyFstat
is built on top of established routines in LALSuite but through its more modern
Python interface it enables a flexible approach to designing new search
strategies. Hence, it serves a dual function of (i) making LALSuite CW
functionality more easily accessible through a Python interface, thus
facilitating the new user experience and, for developers, the exploratory
implementation of novel methods; and (ii) providing a set of production-ready
search classes for use cases not yet covered by LALSuite itself, most notably
for MCMC-based followup of promising candidates from wide-parameter-space
searches.

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 Dates: 2021-01-262021
 Publication Status: Issued
 Pages: 4 pages. Submitted to the Journal of Open Source Software. Software repository: https://github.com/PyFstat/PyFstat/
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: arXiv: 2101.10915
DOI: 10.21105/joss.03000
 Degree: -

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Title: Journal of Open Source Software
Source Genre: Journal
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Pages: - Volume / Issue: 6 (60) Sequence Number: 3000 Start / End Page: - Identifier: -