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

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Schlagwörter: General Relativity and Quantum Cosmology, gr-qc, Astrophysics, Instrumentation and Methods for Astrophysics, astro-ph.IM
 Zusammenfassung: 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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 Datum: 2021-01-262021
 Publikationsstatus: Erschienen
 Seiten: 4 pages. Submitted to the Journal of Open Source Software. Software repository: https://github.com/PyFstat/PyFstat/
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: arXiv: 2101.10915
DOI: 10.21105/joss.03000
 Art des Abschluß: -

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Titel: Journal of Open Source Software
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 6 (60) Artikelnummer: 3000 Start- / Endseite: - Identifikator: -