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A python package to predict halo concentration and shape parameter.

Project description

CASPER (Concentration And Shape Parameter Estimation Routine)

Casper is a python package aimed at predicting the concentration and shape parameter of dark matter haloes as a function of mass and redshift for a specified cosmology.

Requirements

The module requires the following:

  • python3.6 or higher

Installation

The easiest way to install Casper is using pip:

pip install py-casper [--user]

The --user flag may be required if you do not have root privileges. Alternatively for a more involved 'installation' that is also editable you can simply clone the github repository:

git clone https://github.com/Shaun-T-Brown/CASPER.git

and add the folder (specifically src) to your python path. This method will also require scipy and numpy to be installed. Using pip will automatically install all dependencies.

To use the main functionality of the package (i.e. to predict c and alpha) you will need to be able to generate the linear power spectra for a given cosmology. In principle this can be done using any reliable method. However, we recommend installing and using CAMB.

Usage

The best way to demonstrate how Casper can be used is with a few examples. An interactive jupyter notebook with all necessary modules available can be found on Binder. A static version of the same notebook can be found at the following github repository, specifically in the file example_script.ipynb.

The functionality of the package is relatively straightforward and is essentially a collection of useful functions centered around the density profiles of dark matter haloes. Basic documentation can be generated using pydoc.

import casper

help(casper)

Acknowledging the code

If the results of this code, particularly the predictions for halo concentration and the shape parameter then please acknowledge and cite the original paper appropriately.

The following bibtex entry may be used:

For any questions and enquires please contact me via email at S.T.Brown@2018.ljmu.ac.uk

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