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)
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)
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