181 citations · 418 across the 6 of their papers we have counts for
6 papers
Machine-learning classification of astronomical sources: estimating F1-score in the absence of ground truth
A. Humphrey, W. Kuberski, J. Bialek +5
Machine-learning based classifiers have become indispensable in the field of astrophysics, allowing separation of astronomical sources into various classes, with computational effi…
Hydrodynamic simulations of correlation and scatter in galaxy cluster maps
A. Finoguenov, A. J. R. Sanderson, J. J. Mohr +2
The two dimensional structure of hot gas in galaxy clusters contains information about the hydrodynamical state of the cluster, which can be used to understand the origin of scatte…
Effects of Mergers and Core Structure on the Bulk Properties of Nearby Galaxy Clusters
Timothy B. O'Hara, Joseph J. Mohr, John J. Bialek +1
We use morphological measurements and the scatter of clusters about observed and simulated scaling relations to examine the impact of merging and core-related phenomena on the stru…
Studying Dark Energy with Galaxy Cluster Surveys
Joseph J. Mohr, Brian OShea, August E. Evrard +2
Galaxy cluster surveys provide a powerful means of studying the density and nature of the dark energy. The redshift distribution of detected clusters in a deep, large solid angle S…
A Cold Front in a Preheated Galaxy Cluster
John J. Bialek, August E. Evrard, Joseph J. Mohr
We present a simulated cluster of galaxies, modeled with a pre-heated intracluster medium, that exhibits X-ray features similar to the `cold fronts' seen in Chandra observations. M…
Effects of Preheating on X-ray Scaling Relations in Galaxy Clusters
John J. Bialek, August E. Evrard, Joseph J. Mohr
The failure of purely gravitational models of X-ray cluster formation to reproduce basic observed properties of the local cluster population suggests the need for one or more addit…