cshallue / recon-cnn

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Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks

This repository contains the code used to generate results for the paper:

Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks.

Christopher J. Shallue & Daniel J. Eisenstein (2022).

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Corresponding author: cshallue <at> cfa <dot> harvard <dot> edu

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License:BSD 3-Clause "New" or "Revised" License


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Language:Python 100.0%