315 citations · 5.4k across the 69 of their papers we have counts for
70 papers
Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures
S. Zelmer, E. Bulbul, K. Lehman +18
The unprecedented statistical power of galaxy cluster catalogs from the SRG (Spectrum Roentgen Gamma)/eROSITA All-Sky Survey provides a unique opportunity to place stringent constr…
Accurate Galaxy Cluster Shear and Mass Calibration for LSST with AnaCal
Conghao Zhou, Xiangchong Li, Hao-Yi Wu +12
The observed abundance of galaxy clusters as a function of mass and redshift provides a powerful route to precision cosmology; a key challenge for cluster cosmology is to establish…
Constraining Galaxy Cluster Triaxiality via Weak Lensing --- I. Preparation for the Rubin Data Beyond Leading Order
Shenming Fu, Radhakrishnan Srinivasan, Tae-hyeon Shin +13
The 3D mass distributions of galaxy clusters are generally triaxial, a geometry that is difficult to constrain from projected observations. In this work, we measure the projected h…
Photometric Redshift Estimation for Rubin Observatory Data Preview 1 with Redshift Assessment Infrastructure Layers (RAIL)
T. Zhang, E. Charles, J. F. Crenshaw +87
We present the first systematic analysis of photometric redshifts (photo-z) estimated from the Rubin Observatory Data Preview 1 (DP1) data taken with the Legacy Survey of Space and…
The cosmic web's Lyman- glow at ; hydrodynamic models, dust, and wide-field, narrow-band detection
Oleksii Sokoliuk, John K. Webb, Kenneth M. Lanzetta +12
The diffuse Lyman- glow of the cosmic web has long been predicted but has so far eluded direct detection over cosmologically significant volumes. We construct synthetic Lyman-$α…
Catalog-based detection of unrecognized blends in deep optical ground based imaging
Shuang Liang, Prakruth Adari, Anja von der Linden +1
In deep, ground-based imaging, about 15%-30% of object detections are expected to correspond to two or more true objects - these are called ``unrecognized blends''. We use Machine…