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Title: Weak lensing magnification in the Dark Energy Survey Science Verification data

Journal Article · · Monthly Notices of the Royal Astronomical Society
DOI:https://doi.org/10.1093/mnras/sty282· OSTI ID:1434674
ORCiD logo [1]
  1. Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas (CIEMAT), Madrid (Spain). et al.

In this paper, the effect of weak lensing magnification on galaxy number counts is studied by cross-correlating the positions of two galaxy samples, separated by redshift, using the Dark Energy Survey Science Verification data set. This analysis is carried out for galaxies that are selected only by its photometric redshift. An extensive analysis of the systematic effects, using new methods based on simulations is performed, including a Monte Carlo sampling of the selection function of the survey.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Contributing Organization:
The DES Collaboration
Grant/Contract Number:
AC02-76SF00515; AST-1138766; AYA2012-39559; ESP2013-48274; FPA2015-68048; SEV-2012-0234; MDM-2015-0509; FP7/2007-2013; 240672; 291329; 306478; AC02-07CH11359; AC05-00OR22725
OSTI ID:
1434674
Alternate ID(s):
OSTI ID: 1362052; OSTI ID: 1435207
Report Number(s):
DES-2016-0203; FERMILAB-PUB-16-567-AE; arXiv:1611.10326; TRN: US1802686
Journal Information:
Monthly Notices of the Royal Astronomical Society, Vol. 476, Issue 1; ISSN 0035-8711
Publisher:
Royal Astronomical SocietyCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

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The Blanco Cosmology Survey: Data Acquisition, Processing, Calibration, Quality Diagnostics and Data Release text January 2012
TPZ : Photometric redshift PDFs and ancillary information by using prediction trees and random forests text January 2013
Cluster Magnification & the Mass-Richness Relation in CFHTLenS text January 2013
The MICE Grand Challenge Lightcone Simulation I: Dark matter clustering text January 2013
The MICE Grand Challenge Lightcone Simulation II: Halo and Galaxy catalogues text January 2013
A Prescription for Galaxy Biasing Evolution as a Nuisance Parameter text January 2014
Planck 2015 results. XIII. Cosmological parameters text January 2015
CMB lensing tomography with the DES Science Verification galaxies text January 2015
Mitigating Systematic Errors in Angular Correlation Function Measurements from Wide Field Surveys text January 2015
Galaxy clustering with photometric surveys using PDF redshift information text January 2016
Galaxy bias from the Dark Energy Survey Science Verification data: combining galaxy density maps and weak lensing maps text January 2016
Clustering-based redshift estimation: application to VIPERS/CFHTLS text January 2016
Cosmological Information from Quasar-Galaxy Correlations induced by Weak Lensing text January 2002
Improving the Accuracy of Cosmic Magnification Statistics text January 2002
HEALPix -- a Framework for High Resolution Discretization, and Fast Analysis of Data Distributed on the Sphere text January 2004
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Cited By (6)

Measuring linear and non-linear galaxy bias using counts-in-cells in the Dark Energy Survey Science Verification data journal October 2018
New Estimator for Gravitational Lensing Using Galaxy and Intensity Mapping Surveys journal January 2020
Probing Time-dependent Dark Energy with the Flux Power Spectrum of the Ly α Forest journal March 2019
Measuring Linear and Non-linear Galaxy Bias Using Counts-in-Cells in the Dark Energy Survey Science Verification Data text January 2018
A new estimator for gravitational lensing using galaxy and intensity mapping surveys text January 2019
Gravitation And the Universe from large Scale-Structures: The GAUSS mission concept text January 2021