1.7k citations · 5.7k across the 64 of their papers we have counts for
35 papers · 1 filter
Cosmology with supernova Encore in the strong lensing cluster MACS J01382155: photometry, cluster members, and lens mass model
S. Ertl, S. H. Suyu, S. Schuldt +23
The strongly lensed Supernova (SN) Encore at a redshift of , discovered behind the galaxy cluster MACS J01382155 at , provides a rare opportunity for time-de…
Weak-lensing mass bias in merging galaxy clusters
Wonki Lee, Sangjun Cha, M. James Jee +6
Although weak lensing (WL) is a powerful method to estimate a galaxy cluster mass without any dynamical assumptions, a model bias can arise when the cluster density profile departs…
MARS: A New Maximum Entropy-Regularized Strong Lensing Mass Reconstruction Method
Sangjun Cha, M. James Jee
Free-form strong-lensing (SL) mass reconstructions typically suffer from overfitting, which manifest itself as false-positive small-scale fluctuations. We present a new free-form M…
Head-to-Toe Measurement of El Gordo: Improved Analysis of the Galaxy Cluster ACT-CL J0102-4915 with New Wide-field Hubble Space Telescope Imaging Data
Jinhyub Kim, M. James Jee, John P. Hughes +6
We present an improved weak-lensing (WL) study of the high merging galaxy cluster ACT-CL J0102-4915 (El Gordo) based on new wide-field Hubble Space Telescope (HST) i…
The HST See Change Program: I. Survey Design, Pipeline, and Supernova Discoveries
Brian Hayden, David Rubin, Kyle Boone +53
The See Change survey was designed to make cosmological measurements by efficiently discovering high-redshift Type Ia supernovae (SNe Ia) and improving cluster mass measureme…
Weak-lensing Mass Reconstruction of Galaxy Clusters with Convolutional Neural Network
Sungwook E. Hong, Sangnam Park, M. James Jee +2
We introduce a novel method for reconstructing the projected matter distributions of galaxy clusters with weak-lensing (WL) data based on convolutional neural network (CNN). Traini…