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PyFstat/PyFstat: v1.14.0.rc1

Authors: Ashton, Gregory; Keitel, David; Prix, Reinhard; Tenorio, Rodrigo;

PyFstat/PyFstat: v1.14.0.rc1

Abstract

This is the v1.14.0rc1 release of PyFstat, a python package for gravitational-wave data analysis with the F-statistic, dated 29/03/2022. This is a test release (release candidate) to test updates to our dependencies and tests setup. This release supports python versions from 3.7 to 3.10. From the changelog: new dependencies: attr (core), flaky (for tests only) removed deprecated option to use $LALPULSAR_DATADIR for ephemerides added SignalToNoiseRatio class (equivalent to lalapps_PredictFstat) and DetectorStates helper class in new snr module InjectionParametersGenerator and its children moved to separate module injection_parameters Writer (and its children) now accepts timestamps as a list, dict over detectors, or comma-separated string of files per detector (timestampsFiles input is now deprecated) some simplifications to Writer internal methods for developers: test suite now split up by module, full suite can now be run with pytest tests/ flaky MCMC tests will be rerun 3 times if needed now enforcing isort import ordering style and some other simple pre-commit-hook rules 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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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.
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influence
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