19 citations · 30 across the 5 of their papers we have counts for
4 papers · 1 filter
Optimizing Photometric Redshift Training Sets I: Efficient Compression of the Galaxy Color-Redshift Relation with UMAP
Finian Ashmead, Jeffrey A. Newman, Brett H. Andrews +4
Spectroscopic datasets are essential for training and calibrating photometric redshift (photo-) methods. However, spectroscopic redshifts (spec-'s) constitute a biased and sp…
COOL-LAMPS IV: A Sample of Bright Strongly-Lensed Galaxies at
Yunchong Zhang, Viraj Manwadkar, Michael D. Gladders +21
We report the discovery of five bright strong gravitationally lensed galaxies at : COOLJ01012055 (), COOLJ01040757 (), COOLJ01451018 ($z =…
Identification of Galaxy-Galaxy Strong Lens Candidates in the DECam Local Volume Exploration Survey Using Machine Learning
E. A. Zaborowski, A. Drlica-Wagner, F. Ashmead +88
We perform a search for galaxy-galaxy strong lens systems using a convolutional neural network (CNN) applied to imaging data from the first public data release of the DECam Local V…
Multi-Wavelength, Optical (VI) and Near-Infrared (JHK) Calibration of the Tip of the Red Giant Branch Method based on Milky Way Globular Clusters
William Cerny, Wendy L. Freedman, Barry F. Madore +5
Using high precision ground-based photometry for 46 low-reddening Galactic globular clusters, in conjunction with Gaia DR2 proper motions for member star selection, we have calibra…