422 citations · 1.6k across the 23 of their papers we have counts for
23 papers
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…
Contemporary Philosophical Perspectives on the Cosmological Constant
Adam Koberinski, Bridget Falck, Chris Smeenk
The (re)introduction of into cosmology has spurred debates that touch on central questions in philosophy of science, as well as the foundations of general relativity and partic…
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…
Exploring Connections Between Cosmos & Mind Through Six Interactive Art Installations in "As Above As Below"
Mark Neyrinck, Tamira Elul, Michael Silver +21
Are there parallels between the furthest reaches of our universe, and the foundations of thought, awareness, perception, and emotion? What are the connections between the webs and…
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…