Metadata-Version: 1.2
Name: hazma
Version: 1.0.0
Summary: Package for computing FSR and decay spectra for light       particles
Home-page: http://hazma.readthedocs.io/en/latest/
Author: Logan Morrison and Adam Coogan
Author-email: loanmorr@ucsc.edu
Maintainer: Logan Morrison
Maintainer-email: loanmorr@ucsc.edu
License: gpl-3.0
Download-URL: https://github.com/LoganAMorrison/Hazma
Description: ![Logo](docs/source/_static/img/hazma_logo_large.png)
        
        
        [![CircleCI](https://circleci.com/gh/LoganAMorrison/Hazma.svg?style=svg)](https://circleci.com/gh/LoganAMorrison/Hazma)
        
        [![Build Status](https://travis-ci.org/LoganAMorrison/Hazma.svg?branch=master)](https://travis-ci.org/LoganAMorrison/Hazma)
        
        # Hazma
        
        `hazma` is a tool for analyzing theories of sub-GeV dark matter. It can compute gamma-ray spectra from dark matter annihilations, set limits using current gamma-ray data and make projects for future gamma-ray detectors. It can generate positron spectra as well, and derive accurate CMB constraints. `hazma` includes several pre-implemented sub-GeV dark matter models, and provides the infrastructure to add custom ones.
        
        ## Installation
        
        `hazma` is currently still in development. If you would like to try it anyways, you can install it using the command:
        
            pip install --index-url https://test.pypi.org/simple/ hazma
        
        Alternatively, you can download `hazma` directly from this page, navigate to the package directory using the command line and run
        
            pip install .
        
        or
        
            python setup.py install
        
        Since `hazma` utilizes C to rapidly compute gamma ray, electron and positron spectra, you will need to have the `cython` package installed.
        
        Another way to run `hazma` is by using `docker`. If you have docker installed on your machine, clone the `hazma` repository and in the `hazma` directory, run:
        
            docker build --rm -t jupyter/hazma .
        
        This will build the docker image called `jupyter/hazma`. Then to start a jupyter notebook, run:
        
            docker run -it -p 8888:8888 -v /path/to/hazma/tutorials:/home/jovyan/work --rm --name jupyter jupyter/hazma
        
        This will start a jupyter kernel.
        
        ## Other information
        
        Logo design: David Reiman and Adam Coogan; icon from Freepik from [flaticon.com](flaticon.com).
        
Keywords: dark-matter mev-dark-matter gamma-ray-spectra
Platform: MacOS and Linux
Classifier: Programming Language :: Python
