7 citations · 9 across the 4 of their papers we have counts for
4 papers
Main belt asteroids taxonomical information from Dark Energy Survey data
Valerio Carruba, Júlio I. B. Camargo, Safwan Aljbaae +2
While proper orbital elements are currently available for more than 1 million asteroids, taxonomical information is still lagging behind. Surveys like SDSS-MOC4 provided preliminar…
Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects
B. Henghes, O. Lahav, D. W. Gerdes +56
In this paper we investigate how implementing machine learning could improve the efficiency of the search for Trans-Neptunian Objects (TNOs) within Dark Energy Survey (DES) data wh…
The Diverse Science Return from a Wide-Area Survey of the Galactic Plane
R. A. Street, M. B. Lund, S. Khakpash +19
The overwhelming majority of objects visible to LSST lie within the Galactic Plane. Though many previous surveys have avoided this region for fear of stellar crowding, LSST's spati…
The SED Machine: A Spectrograph to Efficiently Classify Transient Events Discovered by PTF
Chow-Choong Ngeow, Nick Konidaris, Robert Quimby +4
The Palomar Transient Factory (PTF) is a project aimed to discover transients in the Universe, including Type Ia supernovae, core-collapse supernovae, and other exotic and rare tra…