Published January 2, 2023 | Version 2

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

Description

Trained models and evaluation data for the revised submitted paper "Reconstructing Cosmological Initial Conditions from Late-Time Structure with Convolutional Neural Networks," Christopher J. Shallue & Daniel J. Eisenstein (2022)

Files

recon-cnn-data.zip

Files (23.7 MB)

Name Size Download all
md5:877c8cbfc514523861296f20f3b0255b
23.7 MB Preview Download