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Performing parameter estimation on gravitational wave data with machine learning

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AMPLFI

Accelerated Multi-messenger Parameter estimation with Likelihood Free Inference

Framework for performing rapid parameter estimation of gravitational wave events using likelihood free inference

Getting Started

Note: this repository is a WIP. Please open up an issue if you encounter bugs, quirks, or any undesired behavior

Note: Running AMPLFI out-of-the-box requires access to an enterprise-grade GPU(s) (e.g. P100, V100, T4, A[30,40,100], etc.). There are several nodes on the LIGO Data Grid which meet these requirements.

Please see the ml4gw quickstart for help on setting up your environment on the LIGO Data Grid (LDG) and for configuring access to Weights and Biases, and the Nautilus hypercluster. This quickstart includes a Makefile and instructions for setting up all of the necessary software, environment variables, and credentials required to run AMPLFI.

Once setup, create a fork of this repository, and clone it.

Note: Ensure that you have added a github ssh key to your account

git clone git@github.com:albert-einstein/pe.git

AMPLFI utilizes git submodules. Make sure to initialize and update those

git submodule update --init

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