Bayesian Pixel Domain shear estimation based on automatically differentiable cell-based coadd modeling.
This repository contains functions to run HMC (Hamiltonian Monte Carlo) using JAX-Galsim as a forward model to perform shear inference.
# fresh conda env
pip install --upgrade pip
conda create -n bpd python=3.12
conda activate bpd
# Install JAX (cuda)
pip install -U "jax[cuda12]"
# Install JAX-Galsim
pip install git+https://github.com/GalSim-developers/JAX-GalSim.git
# Install package and depedencies
git clone [email protected]:LSSTDESC/BPD.git
cd BPD
python -m pip install . -e
python -m pip install .[dev]
