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Published July 30, 2020 | Version v1.5.1
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PyFstat/PyFstat v1.5.1

  • 1. Monash University
  • 2. Universitat de les Illes Balears
  • 3. Albert Einstein Institute

Description

This is the v1.5.1 release of PyFstat, a python package for gravitational wave analysis with the F-statistic, dated 30/07/2020.

This release requires at least python 3.6.

Note that v1.5.0 was not available from PyPI due to a typo in the release tag. Hence, v1.5.1 is the first "proper" release of the 1.5.x series. The only change in v1.5.1 over v1.5.0 is that the citation guidance in the README has been updated to point to the new Zenodo DOI 10.5281/zenodo.3967045 (which became necessary to automate uploads to that repository).

From the changelog for v1.5.0 since the previous version (v1.4.2):

  • new default coverage band behaviour for all search classes:
    • estimate from search ranges (GridSearch) or prior (MCMCSearch) unless minCoverFreq, maxCoverFreq set
    • negative values can be used to reproduce old default of setting from SFT width
    • explicit option estimate_covering_band deprecated
  • semicoherent searches:
    • sped up by only calling ComputeTransientFstatMap once per point
    • BSGL now computed from summed F-stats, not for each segment
    • per-segment results now stored in attribute twoF_per_segment instead of det_stat_per_segment
  • MCMC searches: save twoF for each sample to .dat file
  • Writer:
    • options minStartTime, maxStartTime deprecated
    • always use tstart, duration for actual data range
    • and use transientStartTime, transientTau for transients
  • transient-on-GPU output file writing fix
  • examples:
    • all output now goes to a directory "PyFstat_example_data"
    • added mcmc_vs_grid_simple_example

Notes

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

Files

PyFstat/PyFstat-v1.5.1.zip

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Additional details

Related works

Is derived from
Software: https://github.com/PyFstat/PyFstat/tree/v1.5.1 (URL)
Is new version of
Software: 10.5281/zenodo.1243930 (DOI)