A repository for a cosmology tool dark_emulator to emulate halo clustering statistics. The code is developed based on Dark Quest simulation suite (https://darkquestcosmology.github.io/). The current version supports the halo mass function and two point correlation function (both halo-halo and halo-matter cross).
In order to install dark emulator package, use pip:
pip install dark_emulator
or use conda:
conda install -c nishimichi dark_emulator
Please note that updates on conda are currently halted due to an unresolved issue in conda build. Therefore, we recommend using the version in pip or installing from the source using the following command.
(19 Dec. 2023) v1.1.2 is now successfully built in anaconda. Conda users can install the latest version via the command above.
If the above does not work for you, you may download the source files from this repository and install via
python -m pip install -e .
after moving to the top directory of the source tree.
In that case, you need to install george (a software package for the Gaussian process) and colossus
conda install -c conda-forge george
pip install colossus
From version 1.1.0, dark_emulator uses FFTLog implementation by Fang et al (2019); arXiv:1911.11947.
You can then check how Dark Emulator works by running a tutorial notebook at
docs/tutorial.ipynb
docs/tutorial-hod.ipynb
See also the documentation on readthedocs.
The main reference for our halo emulation strategy is: "Dark Quest. I. Fast and Accurate Emulation of Halo Clustering Statistics and Its Application to Galaxy Clustering", by T. Nishimichi et al., ApJ 884, 29 (2019), arXiv:1811.09504. Please also refer to the paper "Cosmological inference from emulator based halo model I: Validation tests with HSC and SDSS mock catalogs", by H. Miyatake et al., arXiv:2101.00113 for the implementation and performance of the halo-galaxy connection routines.