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Ultra-faint galaxy likelihood toolkit.

Project Description

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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]( & [Alex Drlica-Wagner](


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


Examples go here.


### Python packages: * [numpy]( * [scipy]( * [matplotlib]( * [pyfits]( * [healpy]( * [astropy]( * [emcee]( * [pyyaml](

### Mangle: Not a strict dependency. Used to interface with masks produced by the Dark Energy Survey Data Mangement group. Download and documentation available at

### 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 ( * Dartmouth isochrones (


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

### Naming: * package_name * * ClassName * functionName * variable_name


  • IMF: initial mass function
  • CMD: color-magnitude diagram
  • ROI: region of interest
  • PDF: probability distribution function
  • LUT: look-up table
  • LKHD: likelihood

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