21cmDeepLearning: Matter density map extractor
Abstract
21cmDeepLearning extracts the underlying matter density map from a 21 cm intensity field by making use of a convolutional neural network (CNN) with the U-Net architecture; the software is implemented in Pytorch. The astrophysical parameters of the simulations can be predicted with a secondary CNN. The simulations of matter density and 21 cm maps are performed with the code 21cmFAST (ascl:1102.023).
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- March 2021
- Bibcode:
- 2021ascl.soft03001V
- Keywords:
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- Software