Emulating radiation transport on cosmological scale using a denoising Unet
暂无分享,去创建一个
[1] Sultan Hassan,et al. Constraining the reionization history using deep learning from 21-cm tomography with the Square Kilometre Array , 2020, Monthly Notices of the Royal Astronomical Society.
[2] Mohammad Sohel Rahman,et al. MultiResUNet : Rethinking the U-Net Architecture for Multimodal Biomedical Image Segmentation , 2019, Neural Networks.
[3] N. Gillet,et al. Deep learning from 21-cm tomography of the Cosmic Dawn and Reionization , 2018, Monthly Notices of the Royal Astronomical Society.
[4] Paul La Plante,et al. Identifying Reionization Sources from 21cm Maps using Convolutional Neural Networks , 2018, Monthly Notices of the Royal Astronomical Society.
[5] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[6] A. Cooray,et al. SimFast21: Simulation of the Cosmological 21cm Signal , 2010 .
[7] Rainer Beck,et al. Square kilometre array , 2010, Scholarpedia.
[8] S. Zaroubi. Probing the Epoch of Reionization with Low Frequency Arrays , 2010, 1002.2667.
[9] J. R. Bond,et al. Excursion set mass functions for hierarchical Gaussian fluctuations , 1991 .
[10] Y. Zel’dovich. Gravitational instability: An Approximate theory for large density perturbations , 1969 .