Parks et al. 2018, MNRAS, 476, 1151
http://adsabs.harvard.edu/abs/2017arXiv170904962P
This code utilizes convolutional neural network models to classify, locate, and measure Dampened Lyman Alpha emission lines in SDSS and BOSS sightlines found in the DR7 and DR12 surveys.
Full data products are available here: https://tinyurl.com/cnn-dlas This repository also contains the absorption measurements in simple JSON files.
Current use of the code is demonstrated in the Jupyter notebooks (python 2.7). Pre-trained models are provided in the source here under /models.
The current state of this code is a fully working beta v0.1.
Development is underway for the DESI experiment.
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###Licensing and Contact This package is maintained by David Parks, UCSC -- Contact: dfparks@ucsc.edu
The MIT License (MIT)
Copyright (c) [2016] [David Freeman Parks - dfparks@ucsc.edu]
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###References [1] Placeholder for future references