1k citations · 8.8k across the 68 of their papers we have counts for
68 papers
Joint cluster reconstructions: Combining free-form lensing and X-rays
Korbinian Huber, Celine Tchernin, Julian Merten +2
Galaxy clusters provide a multitude of observational data across wavelengths and their structure and morphology are of considerable interest in cosmology as well as astrophysics. W…
Distinguishing standard and modified gravity cosmologies with machine learning
Austin Peel, Florian Lalande, Jean-Luc Starck +5
We present a convolutional neural network to classify distinct cosmological scenarios based on the statistically similar weak-lensing maps they generate. Modified gravity (MG) mode…
On the dissection of degenerate cosmologies with machine learning
Julian Merten, Carlo Giocoli, Marco Baldi +5
Based on the DUSTGRAIN-pathfinder suite of simulations, we investigate observational degeneracies between nine models of modified gravity and massive neutrinos. Three types of mach…
Weak lensing shear estimation beyond the shape-noise limit: a machine learning approach
Ofer M. Springer, Eran O. Ofek, Yair Weiss +1
Weak lensing shear estimation typically results in per galaxy statistical errors significantly larger than the sought after gravitational signal of only a few percent. These statis…
CLUMP-3D: Three-dimensional Shape and Structure of 20 CLASH Galaxy Clusters from Combined Weak and Strong Lensing
I-Non Chiu, Keiichi Umetsu, Mauro Sereno +5
We perform a three-dimensional triaxial analysis of 16 X-ray regular and 4 high-magnification galaxy clusters selected from the CLASH survey by combining two-dimensional weak-lensi…
The Projected Dark and Baryonic Ellipsoidal Structure of 20 CLASH Galaxy Clusters
Keiichi Umetsu, Mauro Sereno, Sut-Ieng Tam +24
We reconstruct the two-dimensional (2D) matter distributions in 20 high-mass galaxy clusters selected from the CLASH survey by using the new approach of performing a joint weak len…