no code implementations • 28 Aug 2019 • Shuyang Pan, Miaoxin Liu, Jaime Forero-Romero, Cristiano G. Sabiu, Zhigang Li, Haitao Miao, Xiao-Dong Li
We propose a light-weight deep convolutional neural network to estimate the cosmological parameters from simulated 3-dimensional dark matter distributions with high accuracy.
Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology
