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A fast, differentiable, and extensible CMB code
Autodifferentiable Boltzmann solver for the CMB (ABCMB) is a Python+JAX package for differentiable computation of the Cosmic Microwave Background. ABCMB is complete to linear order in $\Lambda\rm{CDM}$ cosmology. It computes the matter and CMB power spectra and includes effects like lensing, massive neutrinos, and a state-of-the-art treatment of the physics of recombination through the companion code HyRex.
ABCMB is pip installable! Just run
pip install ABCMB
We recommend always doing so in a conda environment, preferably even a clean one.
If you'd like to clone the repo instead, after cloning you can run
pip install .
from the code directory.
Note that both methods of installing will automatically attempt to install JAX for CPU; to install for GPU, refer to the JAX documentation for a quick JAX installation guide.
We have included several pedagogical jupyter notebooks to walk you through how to get started with ABCMB in our example_notebooks folder. We suggest you start with ABCMB_basics to get a sense of how to run the code. If you'd like to add new physics to ABCMB, check out ABCMB_Fluids. If you'd like to run ABCMB with the Big Bang Nucleosynthesis (BBN) code LINX to do BBN+CMB joint analyses, check out ABCMB_with_LINX.
Please feel free to open an issue if something is amiss in ABCMB!
ABCMB's HALOFIT implementation (abcmb/halofit.py) is adapted from jax-cosmo (MIT License, Copyright (c) 2022 Differentiable Universe Initiative); see LICENSE-jax_cosmo. If you use the non-linear matter power spectrum, we suggest you cite jax-cosmo (Campagne et al. 2023) and the HALOFIT papers, Smith et al. 2003 and Takahashi et al. 2012.
If you use ABCMB to publish scientific research, we suggest you cite
@article{abcmb,
title={{ABCMB: A Python+JAX Package for the Cosmic Microwave Background Power Spectrum}},
volume={2026},
ISSN={1475-7516},
url={http://dx.doi.org/10.1088/1475-7516/2026/08/078},
DOI={10.1088/1475-7516/2026/08/078},
number={08},
journal={Journal of Cosmology and Astroparticle Physics},
publisher={IOP Publishing},
author={Zhou, Zilu and Giovanetti, Cara and Liu, Hongwan},
year={2026},
month=Aug, pages={078} }
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.4.0 | 15 Oct 2026 | 9 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 17:15 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:72724394cce38254ea47bfecbf5aab81d67a959d570d06dbadd31a9c4f0d9356