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PyFstat

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    • gregory.ashton's avatar
    Improves pruning method
    Gregory Ashton authored 
    If an initialisation step is callled, the sampler runs the simulations
for nsteps and selects the point with the highest lnprobability from
which to restart the simulations. Previously, only the last step was
used. In this update all steps are used and a message is printed to
allow the user to determine if the selected point is appropriate.
    a94d215e
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    gregory.ashton's avatar a94d215e
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    Name Last commit Last update
    docs
    examples
    .gitlab-ci.yml
    LICENSE
    README.md
    pyfstat.py
    setup.py
    tests.py
    README.md

    PyFstat

    This is a python package containing basic wrappers of the lalpulsar module with capabilities to perform a variety of searches, primarily focussing on semi-coherent glitch searches.

    Examples

    All examples can be run from their source scripts in examples, or for each example there is descriptive documentation:

    Installation

    The script can be installed system wide via

    python setup.py install

    or simply add this directroy to your python path

    Ephemeris installation

    The scripts require a path to ephemeris files in order to use the lalpulsar.ComputeFstat module. This can either be specified when initialsing each search, or more simply by playing a file ~/pyfstat.conf in your home directory which looks like

    earth_ephem = '/home/<USER>/lalsuite-install/share/lalpulsar/earth00-19-DE421.dat.gz'
sun_ephem = '/home/<USER>/lalsuite-install/share/lalpulsar/sun00-19-DE421.dat.gz'

    where this uses the default ephemeris files provided with lalsuite.

    Dependencies

    • swig-enabled lalpulsar, a minimal configuration is given by
    ./configure --prefix=${HOME}/lalsuite-install --disable-all-lal --enable-lalpulsar --enable-lalapps --enable-swig

    1. Most easily installed using either conda or pip ↩ ↩2 ↩3

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