Metadata-Version: 1.1
Name: deepstars
Version: 0.1.0
Summary: Using Deep learning for Automated identification of Supernovae and Hosts
Home-page: https://github.com/daniel-muthukrishna/SNClassifying_Pre-alpha
Author: Daniel Muthukrishna
Author-email: daniel.muthukrishna@gmail.com
License: MIT
Description: # SNClassifying_Pre-alpha
        Supernovae classifying and redshifting software: development stage
        
        
        1. How to install:
        
            Install tensorflow (https://www.tensorflow.org/versions/r0.11/get_started/os_setup.html#download-and-setup).
            Run GUI/main.py
            Once open, type in a known redshift
            Browse for any single spectrum FITS, ASCII, dat, or two-column text file.
            Click any of the best matches to view the continuum-subtracted binned spectra.
            If the input spectrum is too noisy, increase the smoothing level, and click 'Re-fit with priors'
        
        
        2. Dependencies:
            python2.7 (unconfirmed python3)
            numpy
            scipy
            PyQt4
            tensorflow
        
        3. How to raise issues:
        
        4. Examples
        
        5. API Usage
        Notes:
            Current version requires an input redshift (inaccurate results if redshift is unknown)
        
        
        
Keywords: supernova spectral classification deep learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
