Metadata-Version: 2.1
Name: pyipn
Version: 0.1.1
Summary: A population synthesis code for testing
Home-page: https://github.com/grburgessp/pyipn
Author: J. Michael Burgess
Author-email: jmichaelburgess@gmail.com
License: GPL-2+
Project-URL: Bug Tracker, https://github.com/grburgessp/pyipn/issues
Project-URL: Source Code, https://github.com/grburgessp/pyipn
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        [![PyPi Downloads](http://pepy.tech/badge/pyipn)](http://pepy.tech/project/pyipn)
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        # pyipn
        
        ![alt text](https://raw.githubusercontent.com/grburgess/pyipn/master/logo.png)
        
        PyIPN is a tool for simulating GRB light curves observed by gamma-ray detectors dispersed throughout the Universe. Additionally, it provides fitting routines for fitting these light curves via random Fourier features to tringulate the location of the simulated GRB. 
        
        This work is a build upon the classical [InterPlanetary Network (IPN)](http://www.ssl.berkeley.edu/ipn3/) developed to do source tringulation via cross-corelation of the observed light curves. 
        
        ---
        
        This work is a joint effort by:
        
        J. Michael Burgess
        Ewan Cameron
        Dmitry Svinkin
        
        ---
        
        If you find this work useful, please cite XXXXXX
        
        ## Install
        
        ```bash
        $> pip install pyipn
        ```
        
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v2 or later (GPLv2+)
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
