bilby antiglitch

This Python package extends the functionality in the bilby to additionally sample over glitch realisations

Installation

bilby_antiglitch is currently available via PyPI and can be installed with:

$ pip install bilby_antiglitch

Once bilby_antiglitch has been installed, a custom version of bilby_pipe needs to be installed with:

$ pip install 'bilby_pipe @ git+https://git.ligo.org/charlie.hoy/bilby_pipe.git@input_class'

This version needs to be installed because we are waiting for required code to be merged into the main bilby_pipe code base. Please see the following merge request for details:

* `bilby_pipe!583 <https://git.ligo.org/lscsoft/bilby_pipe/-/merge_requests/583>`_

For full installation instructions, see our documentation.

Usage in bilby_pipe

The functionality in bilby_antiglitch can be used with bilby_pipe as you would with any other frequency domain source model. It simply requires the following options to be specified in your configuration file:

analysis_executable_parser=bilby_antiglitch.bilby_pipe.create_parser
likelihood-type=GravitationalWaveTransientPlusGlitch
glitch-frequency-domain-source-model = bilby_antiglitch.source.antiglitch
detectors-glitch = ['L1']

If you wish to perform an injection with a specific glitch model, this can be done with the following option in your configuration file:

injection-glitch-frequency-domain-source-model = bilby_antiglitch.source.antiglitch

Citing

If you find bilby_antiglitch useful in your work please cite the following papers:

@article{Hoy:2026dkr,
    author = "Hoy, Charlie and Bondarescu, Ruxandra and Lundgren, Andrew and Nuttall, Laura K.",
    title = "{A parametric signal plus noise inference framework for short duration non-Gaussian noise transients}",
    eprint = "2606.31304",
    archivePrefix = "arXiv",
    primaryClass = "gr-qc",
    reportNumber = "LIGO-P2600325",
    month = "6",
    year = "2026"
}