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Deep Learning for Spectral Typing and Redshifting of Supernovae

Project 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)
Release History

Release History

This version
History Node

0.1.0

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deepstars-0.1.0-py2.py3-none-any.whl (4.1 kB) Copy SHA256 Checksum SHA256 py2.py3 Wheel Oct 17, 2016
deepstars-0.1.0.tar.gz (2.9 kB) Copy SHA256 Checksum SHA256 Source Oct 17, 2016

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