ugali 1.6.0

Ultra-faint galaxy likelihood toolkit.

[](https://travis-ci.org/DarkEnergySurvey/ugali) [](../../releases) [](../../)

OVERVIEW

The ultra-faint galaxy likelihood (UGaLi) toolkit provides a set of python classes and functions developed for maximum-likelihood-based studies of Milky Way satellite galaxies. The primary inputs are stellar object catalogs derived from optical photometric surveys and the coverage masks of those surveys.

[Keith Bechtol](https://github.com/bechtol) & [Alex Drlica-Wagner](https://github.com/kadrlica)

INSTALLATION

The ugali codebase can be installed by downloading from github and using the setup.py script. ` git clone https://github.com/DarkEnergySurvey/ugali.git cd ugali python setup.py install ` In addition to the code, if you plan on working with isochrones you probably want to install the ancillary isochrone information: ` python setup.py isochrones ` By default, the isochrone files (~100MB) will be installed in $HOME/.ugali/isochrones; however, this can be changed on the command line: ` python setup.py isochrones --isochrone-path <INSTALL_PATH> ` If you place the isochrones in a different directory be sure that ugali knows where to find them: ` export UGALIDIR=$<INSTALL_PATH>/isochrones `

USAGE EXAMPLES

Examples go here.

CODE REPOSITORY

• https://bitbucket.org/bechtol/ugali/

• https://github.com/kadrlica/ugali/

DEPENDENCIES

### Python packages: * [numpy](http://www.numpy.org/) * [scipy](https://www.scipy.org/) * [matplotlib](http://matplotlib.org/) * [pyfits](http://www.stsci.edu/institute/software_hardware/pyfits) * [healpy](https://github.com/healpy/healpy) * [astropy](http://www.astropy.org/) * [emcee](http://dan.iel.fm/emcee/current/) * [pyyaml](http://pyyaml.org/)

### Mangle: Not a strict dependency. Used to interface with masks produced by the Dark Energy Survey Data Mangement group. Download and documentation available at http://space.mit.edu/~molly/mangle/

### Isochrones: The ugali tools make use of a large library of stellar isochrones. These isochrones are derived from two different groups and are distributed as binary tarballs with releases of ugali. * Padova isochrones (http://stev.oapd.inaf.it/cgi-bin/cmd) * Dartmouth isochrones (http://stellar.dartmouth.edu/models/isolf_new.html)

CONVENTIONS

### Indexing: array[index_z][index_y][index_x]

### Naming: * package_name * module_name.py * ClassName * functionName * variable_name

ABBREVIATIONS

• IMF: initial mass function

• CMD: color-magnitude diagram

• ROI: region of interest

• PDF: probability distribution function

• LUT: look-up table

• LKHD: likelihood