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Title: Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement

Abstract

We define and characterise a sample of 1.3 million galaxies extracted from the first year of Dark Energy Survey data, optimised to measure Baryon Acoustic Oscillations in the presence of significant redshift uncertainties. The sample is dominated by luminous red galaxies located at redshifts $$z \gtrsim 0.6$$. We define the exact selection using color and magnitude cuts that balance the need of high number densities and small photometric redshift uncertainties, using the corresponding forecasted BAO distance error as a figure-of-merit in the process. The typical photo-$z$ uncertainty varies from $$2.3\%$$ to $$3.6\%$$ (in units of 1+$z$) from $z=0.6$ to $1$, with number densities from $200$ to $130$ galaxies per deg$^2$ in tomographic bins of width $$\Delta z = 0.1$$. Next we summarise the validation of the photometric redshift estimation. We characterise and mitigate observational systematics including stellar contamination, and show that the clustering on large scales is robust in front of those contaminants. We show that the clustering signal in the auto-correlations and cross-correlations is generally consistent with theoretical models, which serves as an additional test of the redshift distributions.

Authors:
;
Publication Date:
Research Org.:
Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Org.:
DES
OSTI Identifier:
1431579
Report Number(s):
FERMILAB-PUB-17-585; arXiv:1712.06211
1643779
DOE Contract Number:
AC02-07CH11359
Resource Type:
Journal Article
Resource Relation:
Journal Name: Mon.Not.Roy.Astron.Soc.
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS

Citation Formats

Crocce, M., and et al. Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement. United States: N. p., 2017. Web.
Crocce, M., & et al. Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement. United States.
Crocce, M., and et al. Sun . "Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement". United States. doi:. https://www.osti.gov/servlets/purl/1431579.
@article{osti_1431579,
title = {Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement},
author = {Crocce, M. and et al.},
abstractNote = {We define and characterise a sample of 1.3 million galaxies extracted from the first year of Dark Energy Survey data, optimised to measure Baryon Acoustic Oscillations in the presence of significant redshift uncertainties. The sample is dominated by luminous red galaxies located at redshifts $z \gtrsim 0.6$. We define the exact selection using color and magnitude cuts that balance the need of high number densities and small photometric redshift uncertainties, using the corresponding forecasted BAO distance error as a figure-of-merit in the process. The typical photo-$z$ uncertainty varies from $2.3\%$ to $3.6\%$ (in units of 1+$z$) from $z=0.6$ to $1$, with number densities from $200$ to $130$ galaxies per deg$^2$ in tomographic bins of width $\Delta z = 0.1$. Next we summarise the validation of the photometric redshift estimation. We characterise and mitigate observational systematics including stellar contamination, and show that the clustering on large scales is robust in front of those contaminants. We show that the clustering signal in the auto-correlations and cross-correlations is generally consistent with theoretical models, which serves as an additional test of the redshift distributions.},
doi = {},
journal = {Mon.Not.Roy.Astron.Soc.},
number = ,
volume = ,
place = {United States},
year = {Sun Dec 17 00:00:00 EST 2017},
month = {Sun Dec 17 00:00:00 EST 2017}
}