pyRingGW 1.1.0

pyRing: Black hole ringdown data-analysis in time-domain

pyRing is a python package for black hole (BH) ringdown analysis, model comparison and parameter estimation. The package is tailored for the analysis of the post-merger phase of Compact Binary Coalescence (CBC) Gravitational-wave (GW) signals using a native time-domain likelihood formulation. It is integrated with standard LIGO-Virgo-Kagra software and supports:

• Ringdown analyses of interferometric or simulated GW data using a variety of ringdown waveform models. All of them are analytical templates, some of them are calibrated to Numerical Relativity (NR).

• Parametrised tests of General Relativity (GR), by adding parametrised deviations to the spectrum frequencies and damping times.

• Quasi-normal modes (QNM) spectrum predictions for emissions alternative to the Kerr solution.

The main usage features of the software have been internally reviewed for scientific usage from the LIGO-Virgo-Kagra (LVK) collaboration and the code is routinely used to produce catalogs of BH ringdown properties and tests of GR in the merger-ringdown regime by the LVK collaboration.

Tutorial slides are available here, see also below for brief instructions on how to run a tutorial.

Disclaimer: since the name pyring had already been taken on pypi (which is not case sensitive), the package has to be pip-installed with the name pyRingGW. However, for all internal purposes and functionalities, the name of the package is pyRing. For example, the help message can be accessed through pyRing --help.