output
19982026
most citedBig Bang Nucleosynthesis (in "The Review of Particle Properties" 2004)

6.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2015 · astro-ph.IMShow all

8 papers · 2 filters

astro-ph.IM2015

On the upper limits for dipole anisotropies in cosmic-ray positrons

J. Berdugo, J. Casaus, C. Mana +1

The excess of cosmic-ray positrons in the energy range from 10 GeV to few hundred GeV reported by PAMELA and AMS experiments is not consistent with a pure secondary origin and requ…

astro-ph.IM2015★ 6 cited

NectarCAM : a camera for the medium size telescopes of the Cherenkov Telescope Array

J-F. Glicenstein, O. Abril, J-A. Barrio +63

NectarCAM is a camera proposed for the medium-sized telescopes of the Cherenkov Telescope Array (CTA) covering the central energy range of ~100 GeV to ~30 TeV. It has a modular des…

astro-ph.IM2015★ 208 cited

redMaGiC: Selecting Luminous Red Galaxies from the DES Science Verification Data

E. Rozo, E. S. Rykoff, A. Abate +84

We introduce redMaGiC, an automated algorithm for selecting Luminous Red Galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in…

astro-ph.IM2015★ 189 cited

The DES Science Verification Weak Lensing Shear Catalogues

M. Jarvis, E. Sheldon, J. Zuntz +92

We present weak lensing shear catalogues for 139 square degrees of data taken during the Science Verification (SV) time for the new Dark Energy Camera (DECam) being used for the Da…

astro-ph.IM2015★ 169 cited

The Difference Imaging Pipeline for the Transient Search in the Dark Energy Survey

R. Kessler, J. Marriner, M. Childress +60

We describe the difference imaging pipeline (DiffImg) used to detect transients in deep images from the Dark Energy Survey Supernova program (DES-SN) in its first observing season…

astro-ph.IM2015★ 26 cited

Effect of training characteristics on object classification: an application using Boosted Decision Trees

Ignacio Sevilla-Noarbe, Penélope Etayo-Sotos

We present an application of a particular machine-learning method (Boosted Decision Trees, BDTs using AdaBoost) to separate stars and galaxies in photometric images using their cat…

astro-ph.IM2015★ 1.1k cited

The Dark Energy Camera

B. Flaugher, H. T. Diehl, K. Honscheid +115

The Dark Energy Camera is a new imager with a 2.2-degree diameter field of view mounted at the prime focus of the Victor M. Blanco 4-meter telescope on Cerro Tololo near La Serena,…

astro-ph.IM2015★ 155 cited

Automated Transient Identification in the Dark Energy Survey

D. A. Goldstein, C. B. D'Andrea, J. A. Fischer +64

We describe an algorithm for identifying point-source transients and moving objects on reference-subtracted optical images containing artifacts of processing and instrumentation. T…