ml4gw-buoy 0.1.1

Deploy Aframe and AMPLFI models over open data

Installation

This library is pip installable with

pip install ml4gw-buoy

It is recommended that you install buoy in a virtual environment such as conda.

Usage

Note: for now, this tool can be run only on the CIT, LHO, and LLO clusters of the LDG.

The function of this library is to run trained Aframe and AMPLFI models over a gravitaional wave event reported by the LIGO-Virgo-KAGRA collaboration during their third observing run, O3.

To product model outputs, first identify an event of interest (e.g., from GWTC-3), and then run

buoy --events <EVENT_NAME> --outdir <OUTPUT_DIRECTORY>

The output directory is structured as follows will contain a directory matching the name of the event. Inside, there will be a data directory containing data created during the analysis, and a plots directory containing Aframe's response to the event as well as a skymap and corner plot from AMPLFI.

Multiple events can be specified at once, e.g.:

buoy --events '["GW190828_063405", "GW190521"]' --outdir <OUTPUT_DIRECTORY>