diffmah 0.6.1

Differentiable model of dark matter halo assembly

diffmah

Installation

The latest release of diffmah is available for installation with pip or conda-forge:

$ conda install -c conda-forge diffmah

To install diffmah into your environment from the source code:

$ cd /path/to/root/diffmah
$ pip install .

Environment configuration

For a typical development environment in conda-forge:

$ conda create -c conda-forge -n diffit python=3.9 numpy jax pytest ipython jupyter matplotlib scipy h5py diffmah

Project data

Data for this project can be found at this URL.

Documentation

Online documentation for Diffmah is available diffmah.readthedocs.io.

Scripts and demo notebooks

The diffmah_fitter_demo.ipynb notebook demonstrates how to fit the MAH of a simulated halo with a diffmah approximation. See history_fitting_script.py for an example of how to fit the MAHs of a large number of simulated halos in parallel with mpi4py.

Citing diffmah

The diffmah paper has been published by the Open Journal of Astrophysics. Citation information for the paper can be found at this ADS link, copied below for convenience:

@ARTICLE{2021OJAp....4E...7H,
       author = {{Hearin}, Andrew P. and {Chaves-Montero}, Jon{\'a}s and {Becker}, Mathew R. and {Alarcon}, Alex},
        title = "{A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos}",
      journal = {The Open Journal of Astrophysics},
     keywords = {Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies},
         year = 2021,
        month = jul,
       volume = {4},
       number = {1},
          eid = {7},
        pages = {7},
          doi = {10.21105/astro.2105.05859},
archivePrefix = {arXiv},
       eprint = {2105.05859},
 primaryClass = {astro-ph.CO},
       adsurl = {https://ui.adsabs.harvard.edu/abs/2021OJAp....4E...7H},
      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}