Metadata-Version: 2.0
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
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
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: specutils

# 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)




