no code implementations • 24 Feb 2020 • Tian-Xiang Mao, Jie Wang, Baojiu Li, Yan-Chuan Cai, Bridget Falck, Mark Neyrinck, Alex Szalay
We propose a new scheme to reconstruct the baryon acoustic oscillations (BAO) signal, which contains key cosmological information, based on deep convolutional neural networks (CNN).
no code implementations • 4 Oct 2017 • Marius Cautun, Enrique Paillas, Yan-Chuan Cai, Sownak Bose, Joaquin Armijo, Baojiu Li, Nelson Padilla
We present a systematic comparison of several existing and new void finding algorithms, focusing on their potential power to test a particular class of modified gravity models - chameleon $f(R)$ gravity.
Cosmology and Nongalactic Astrophysics
no code implementations • 16 Mar 2016 • Yan-Chuan Cai, Andy Taylor, John A. Peacock, Nelson Padilla
By extracting the monopole and quadrupole from the cross-correlation function, we measure the linear growth rate without prior knowledge of the void profile or velocity dispersion.
Cosmology and Nongalactic Astrophysics
