8 citations · 13 across the 6 of their papers we have counts for
6 papers · 1 filter
Optimizing Convolution Direction and Template Selection for Difference Image Analysis
Rodrigo Angulo, Armin Rest, William P. Blair +8
Difference image analysis (DIA) is a powerful tool for studying time-variable phenomena, and has been used by many time-domain surveys. Most DIA algorithms involve matching the spa…
Every Datapoint Counts: Stellar Flares as a Case Study of Atmosphere Aided Studies of Transients in the LSST Era
Riley W. Clarke, James R. A. Davenport, John Gizis +8
Due to their short timescale, stellar flares are a challenging target for the most modern synoptic sky surveys. The upcoming Vera C. Rubin Legacy Survey of Space and Time (LSST), a…
SpectAcLE: An Improved Method for Modeling Light Echo Spectra
Roee Partoush, Armin Rest, Jacob E. Jencson +17
Light echoes give us a unique perspective on the nature of supernovae and non-terminal stellar explosions. Spectroscopy of light echoes can reveal details on the kinematics of the…
Rubin Observatory LSST Transients and Variable Stars Roadmap
Kelly M. Hambleton, Federica B. Bianco, Rachel Street +79
The Vera C. Rubin Legacy Survey of Space and Time holds the potential to revolutionize time domain astrophysics, reaching completely unexplored areas of the Universe and mapping va…
Toward automated detection of light echoes in synoptic surveys: considerations on the application of the Deep Convolutional Neural Networks
Xiaolong Li, Federica B. Bianco, Gregory Dobler +7
Light Echoes (LEs) are the reflections of astrophysical transients off of interstellar dust. They are fascinating astronomical phenomena that enable studies of the scattering dust…
From Data to Software to Science with the Rubin Observatory LSST
Katelyn Breivik, Andrew J. Connolly, K. E. Saavik Ford +97
The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) dataset will dramatically alter our understanding of the Universe, from the origins of the Solar System to the…