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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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]
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
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[1] Placeholder for future references