422 citations · 1.6k across the 23 of their papers we have counts for
21 papers · 1 filter
Estimation of line-of-sight velocities of individual galaxies using neural networks I. Modelling redshift-space distortions at large scales
Hongxiang Chen, Jie Wang, Tianxiang Mao +7
We present a scheme based on artificial neural networks (ANN) to estimate the line-of-sight velocities of individual galaxies from an observed redshift-space galaxy distribution. W…
Indra: a Public Computationally Accessible Suite of Cosmological -body Simulations
Bridget Falck, Jie Wang, Adrian Jenkins +4
Indra is a suite of large-volume cosmological -body simulations with the goal of providing excellent statistics of the large-scale features of the distribution of dark matter. E…
Baryon acoustic oscillations reconstruction using convolutional neural networks
Tian-Xiang Mao, Jie Wang, Baojiu Li +4
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)…
Halo Spin from Primordial Inner Motions
Mark C. Neyrinck, Miguel A. Aragon-Calvo, Bridget Falck +2
The standard explanation for galaxy spin starts with the tidal-torque theory (TTT), in which an ellipsoidal dark-matter protohalo, which comes to host the galaxy, is torqued up by…
Probing modified gravity in cosmic filaments
Alex Ho, Max Gronke, Bridget Falck +1
Multiple modifications of general relativity (GR) have been proposed in the literature in order to understand the nature of the accelerated expansion of the Universe. However, thus…
Degeneracies between Modified Gravity and Baryonic Physics
Thor A. S. Ellewsen, Bridget Falck, David F. Mota
In order to determine the observable signatures of modified gravity theories, it is important to consider the effect of baryonic physics. We use a modified version of the ISIS code…