Preliminary clustering properties of the DESI BGS bright targets using DR9 Legacy Imaging Surveys

Author:

Zarrouk Pauline12,Ruiz-Macias Omar23ORCID,Cole Shaun2,Norberg Peder24,Baugh Carlton23,Brooks David5,Gaztañaga Enrique6,Kitanidis Ellie7,Kehoe Robert8,Landriau Martin9,Moustakas John10,Prada Francisco11,Tarlé Gregory12

Affiliation:

1. Sorbonne Université, Université Paris Diderot, CNRS/IN2P3, Laboratoire de Physique Nucléaire et de Hautes Energies, LPNHE, 4 place Jussieu, F-75252 Paris, France

2. Institute for Computational Cosmology, Department of Physics, Durham University, South Road, Durham DH1 3LE, UK

3. Institute for Data Science, Durham University, South Road, Durham DH1 3LE, UK

4. Centre for Extragalactic Astronomy, Department of Physics, Durham University, South Road, Durham DH1 3LE, UK

5. Department of Physics & Astronomy, University College London, Gower Street, London WC1E 6BT, UK

6. Institute of Space Sciences (ICE, CSIC), Campus UAB, Carrer de Can Magrans, sn, E-08193 Bellaterra, Barcelona, Spain

7. Department of Physics, University of California, 366 LeConte Hall, Berkeley, CA 94720, USA

8. Department of Physics, Southern Methodist University, 3215 Daniel Avenue, Dallas, TX 75205, USA

9. Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA

10. Department of Physics and Astronomy, Siena College, 515 Loudon Road, Loudonville, NY 12211, USA

11. Instituto de Astrofisica de Andalucia (CSIC), Glorieta de la Astronomia, s/n, E-18008 Granada, Spain

12. Department of Physics, University of Michigan, Ann Arbor, MI 48109, USA

Abstract

ABSTRACT We characterize the selection cuts and clustering properties of a magnitude-limited sample of bright galaxies that is part of the Bright Galaxy Survey (BGS) of the Dark Energy Spectroscopic Instrument (DESI) using the ninth data release of the Legacy Imaging Surveys (DR9). We describe changes in the DR9 selection compared to the DR8 one and we also compare the DR9 selection in three distinct regions: BASS/MzLS in the north Galactic Cap (NGC), DECaLS in the NGC, and DECaLS in the south Galactic Cap (SGC). We investigate the systematics associated with the selection and assess its completeness by matching the BGS targets with the Galaxy and Mass Assembly (GAMA) survey. We measure the angular clustering for the overall bright sample (rmag ≤ 19.5) and as function of apparent magnitude and colour. This enables to determine the clustering strength r0 and slope γ by fitting a power-law model that can be used to generate accurate mock catalogues for this tracer. We use a counts-in-cells technique to explore higher order statistics and cross-correlations with external spectroscopic data sets in order to check the evolution of the clustering with redshift and the redshift distribution of the BGS targets using clustering redshifts. While this work validates the properties of the BGS bright targets, the final target selection pipeline and clustering properties of the entire DESI BGS will be fully characterized and validated with the spectroscopic data of Survey Validation.

Funder

Science and Technology Facilities Council

National Council of Science and Technology, Mexico

CONACYT

European Union

Horizon 2020

Marie Sklodowska-Curie

U.S. Department of Energy

Office of Science

High Energy Physics

National Science Foundation

NASA

STFC

Durham University

Division of Astronomical Sciences

NSF

Gordon and Betty Moore Foundation

Heising-Simons Foundation

French Alternative Energies and Atomic Energy Commission

Ministry of Economy

Publisher

Oxford University Press (OUP)

Subject

Space and Planetary Science,Astronomy and Astrophysics

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Validation of the Scientific Program for the Dark Energy Spectroscopic Instrument;The Astronomical Journal;2024-01-15

2. The two-point correlation function covariance with fewer mocks;Monthly Notices of the Royal Astronomical Society;2023-11-27

3. Target Selection and Sample Characterization for the DESI LOW-Z Secondary Target Program;The Astrophysical Journal;2023-09-01

4. The DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation;The Astronomical Journal;2023-05-26

5. Constraining νΛCDM with density-split clustering;Monthly Notices of the Royal Astronomical Society;2023-04-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3