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