1.2k citations · 8.4k across the 43 of their papers we have counts for
5 papers · 1 filter
Finding high-redshift strong lenses in DES using convolutional neural networks
C. Jacobs, T. Collett, K. Glazebrook +63
We search Dark Energy Survey (DES) Year 3 imaging data for galaxy-galaxy strong gravitational lenses using convolutional neural networks. We generate 250,000 simulated lenses at re…
Cosmological Constraints from Multiple Probes in the Dark Energy Survey
DES Collaboration, T. M. C. Abbott, A. Alarcon +166
The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Su…
New Science, New Media: An Assessment of the Online Education and Public Outreach Initiatives of The Dark Energy Survey
R. C. Wolf, A. K. Romer, B. Nord +25
As large-scale international collaborations become the standard for astronomy research, a wealth of opportunities have emerged to create innovative education and public outreach (E…
Rapidly evolving transients in the Dark Energy Survey
M. Pursiainen, M. Childress, M. Smith +79
We present the results of a search for rapidly evolving transients in the Dark Energy Survey Supernova Programme. These events are characterized by fast light curve evolution (rise…
The Dark Energy Survey Image Processing Pipeline
E. Morganson, R. A. Gruendl, F. Menanteau +40
The Dark Energy Survey (DES) is a five-year optical imaging campaign with the goal of understanding the origin of cosmic acceleration. DES performs a 5000 square degree survey of t…