Skip to main content

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)

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
deepstars-0.1.0-py2.py3-none-any.whl (4.1 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Oct 17, 2016
deepstars-0.1.0.tar.gz (2.9 kB) Copy SHA256 hash SHA256 Source None Oct 17, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page