2.5k citations · 21k across the 97 of their papers we have counts for
98 papers
Galactic Archaeology with the Subaru `Ōnohi`ula Prime Focus Spectrograph Strategic Program
Masashi Chiba, Rosemary F. G. Wyse, Evan N. Kirby +48
The recently commissioned Subaru `Ōnohi`ula Prime Focus Spectrograph (PFS) will obtain spectra from nearly 2,400 fibers that cover 1.24 square degrees. The 360 night Subaru Strateg…
Uncertainty of line-of-sight velocity measurement of faint stars from low and medium resolution optical spectra
László Dobos, Alexander S. Szalay, Tamás Budavári +3
Massively multiplexed spectrographs will soon gather large statistical samples of stellar spectra. The accurate estimation of uncertainties on derived parameters, such as line-of-s…
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…
A Light-weight Interpretable Compositional Model for Nuclei Detection and Weakly-Supervised Segmentation
Yixiao Zhang, Adam Kortylewski, Qing Liu +9
The field of computational pathology has witnessed great advancements since deep neural networks have been widely applied. These networks usually require large numbers of annotated…
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)…
The Effect of Corner Modes in the Initial Conditions of Cosmological Simulations
B. Falck, N. McCullagh, M. C. Neyrinck +2
In view of future high-precision large-scale structure surveys, it is important to quantify the percent and subpercent level effects in cosmological -body simulations from which…