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PyFstat/PyFstat: v2.2.0

Authors: Ashton, Gregory; Keitel, David; Prix, Reinhard; Tenorio, Rodrigo; Ferrer, Maria-Antonia;

PyFstat/PyFstat: v2.2.0

Abstract

This is the v2.2.0 release of PyFstat, a python package for gravitational-wave data analysis with the F-statistic, dated 08/01/2025. This release supports python versions from 3.9 to 3.12. Python 3.13 support is pending on our key dependency LALSuite adopting it. From the changelog: Changed the core F-stat functions to alternatively take parameter-space points as dictionaries. The old individual arguments are still supported, but deprecated and will be removed in a future version. Added new function utils.plot_spectrogram. Added support for spindown orders >3 in Writer and search classes (up to lalpulsar.PULSAR_MAX_SPINS). Added SearchOverGridFile class that can read a grid file following the format of lalpulsar_ComputeFStatistic_v2. Some internal refactoring of code between mcmc, grid and core classes. Updated various dependencies, mostly for developers. Pinned chainconsumer dependency to <1.0. Added codespell to pre-commit hooks. Fixed some deprecations and code-formatting issues. Extended tests. Changed tutorial notebooks plotting from pcolorfast to pcolormesh. For a list of known issues, or to report any problems, please see: https://github.com/PyFstat/PyFstat/issues

See record https://doi.org/10.5281/zenodo.1243930 for previous versions of PyFstat up to v1.4.1.

Keywords

virgo, astrophysics, gravitational waves, python3, data analysis, ligo, pycuda, neutron stars, gravity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
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