scispace - formally typeset
A

A. Sypniewski

Researcher at University of Michigan

Publications -  12
Citations -  2058

A. Sypniewski is an academic researcher from University of Michigan. The author has contributed to research in topics: Redshift & Photometric redshift. The author has an hindex of 7, co-authored 12 publications receiving 1754 citations.

Papers
More filters
Journal ArticleDOI

The dark energy camera

B. Flaugher, +121 more
TL;DR: The Dark Energy Camera as mentioned in this paper was designed and constructed by the Dark Energy Survey Collaboration, and meets or exceeds the stringent requirements designed for the wide-field and supernova surveys for which the collaboration uses it.
Journal ArticleDOI

The Dark Energy Camera

B. Flaugher, +117 more
TL;DR: The Dark Energy Camera as discussed by the authors was designed and constructed by the Dark Energy Survey Collaboration, and meets or exceeds the stringent requirements designed for the wide-field and supernova surveys for which the collaboration uses it.
Journal ArticleDOI

Photometric redshift analysis in the Dark Energy Survey Science Verification data

Carles Sanchez, +87 more
TL;DR: In this paper, a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification (SV) period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq.deg.
Journal ArticleDOI

ArborZ: Photometric Redshifts Using Boosted Decision Trees

TL;DR: In this article, a boosted decision tree (BDF) is used to estimate the photometric redshift of each galaxy, not only a single best estimate and error, but also a photo-z quality figure of merit for each galaxy that can be used to reject outliers.
Journal ArticleDOI

Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data

Peter Melchior, +102 more
TL;DR: In this paper, the weak-lensing masses and galaxy distributions of four massive galaxy clusters observed during the Science Verification phase of the Dark Energy Survey were measured using DECam.