Dark dresses in python, accelerated with jax.

A dark dress is an intermediate/extreme mass-ratio compact object binary where the heavy object is surrounded by a dense dark matter halo. This repository contains code for computing the waveforms for dark dresses that approximate those produced by HaloFeedback. You can use the scripts to run nested sampling to derive posteriors for observations of these systems assuming a dark dress or GR-in-vacuum waveform models, and compute the Bayes factor between the two.

The code uses the jax package to accelerate the calculations.

First install the dependencies:

• jax: pip install jax jaxlib.
• jaxinterp2d: clone the repo and install with pip install ..

Then install pydd by cloning this repo and installing with pip install .. Add -e to make the install editable.