3.5k citations · 15.9k across the 114 of their papers we have counts for
5 papers · 2 filters
Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Wide-Fast-Deep Survey
Michelle Lochner, Daniel M. Scolnic, Humna Awan +33
Cosmology is one of the four science pillars of LSST, which promises to be transformative for our understanding of dark energy and dark matter. The LSST Dark Energy Science Collabo…
A Big Sky Approach to Cadence Diplomacy
Knut Olsen, Marcella Di Criscienzo, R. Lynne Jones +7
The LSST survey was designed to deliver transformative results for four primary objectives: constraining dark energy and dark matter, taking an inventory of the Solar System, explo…
Optimizing the LSST Observing Strategy for Dark Energy Science: DESC Recommendations for the Deep Drilling Fields and other Special Programs
Daniel M. Scolnic, Michelle Lochner, Phillipe Gris +21
We review the measurements of dark energy enabled by observations of the Deep Drilling Fields and the optimization of survey design for cosmological measurements. This white paper…
Analyzing interferometric observations of strong gravitational lenses with recurrent and convolutional neural networks
Warren R. Morningstar, Yashar D. Hezaveh, Laurence Perreault Levasseur +4
We use convolutional neural networks (CNNs) and recurrent neural networks (RNNs) to estimate the parameters of strong gravitational lenses from interferometric observations. We exp…
Approximating photo- PDFs for large surveys
A. I. Malz, P. J. Marshall, S. J. Schmidt +3
Modern galaxy surveys produce redshift probability density functions (PDFs) in addition to traditional photometric redshift (photo-) point estimates. However, the storage of pho…