Abstract
The three-dimensional correlation function offers an effective way to summarize the correlation of the large-scale structure even for imaging galaxy surveys. We have applied the projected three-dimensional correlation function, ζp to measure the baryonic acoustic oscillations (BAO) scale on the first-three years Dark Energy Survey data. The sample consists of about 7 million galaxies in the redshift range 0.6<zp<1.1 over a footprint of 4108 deg2. Our theory modeling includes the impact of realistic true redshift distributions beyond Gaussian photo-z approximation. ζp is obtained by projecting the three-dimensional correlation to the transverse direction. To increase the signal-to-noise of the measurements, we have considered a Gaussian stacking window function in place of the commonly used top-hat. ζp is sensitive to DM(zeff)/rs, the ratio between the comoving angular diameter distance and the sound horizon. Using the full sample, DM(zeff)/rs is constrained to be 19.00±0.67 (top-hat) and 19.15±0.58 (Gaussian) at zeff=0.835. The constraint is weaker than the angular correlation w constraint (18.84±0.50), and we trace this to the fact that the BAO signals are heterogeneous across redshift. While ζp responds to the heterogeneous signals by enlarging the error bar, w can still give a tight bound on DM/rs in this case. When a homogeneous BAO-signal subsample in the range 0.7<zp<1.0 (zeff=0.845) is considered, ζp yields 19.80±0.67 (top-hat) and 19.84±0.53 (Gaussian). The latter is mildly stronger than the w constraint (19.86±0.55). We find that the ζp results are more sensitive to photo-z errors than w because ζp keeps the three-dimensional clustering information causing it to be more prone to photo-z noise. The Gaussian window gives more robust results than the top-hat as the former is designed to suppress the low signal modes. ζp and the angular statistics such as w have their own pros and cons, and they serve an important crosscheck with each other.
| Original language | English |
|---|---|
| Article number | 123502 |
| Journal | Physical Review D |
| Volume | 106 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 15 2022 |
Funding
K. C. C. acknowledges the support from the National Science Foundation of China under the Grants No. 11873102 and No. 12273121, the science research grants from the China Manned Space Project with No. CMS-CSST-2021-B01, and the Science and Technology Program of Guangzhou, China (Grant No. 202002030360). S. A. is supported by the Spanish Agencia Estatal de Investigacion through the grant “IFT Centro de Excelencia Severo Ochoa by CEX2020-001007-S” and “EU-HORIZON-2020-776247 Enabling Weak Lensing Cosmology (EWC)”, and was also supported by Atraccion de Talento Program No. 2019-T1/TIC-12702 granted by the Comunidad de Madrid in Spain. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, NSF’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under Grants No. ESP2017-89838, No. PGC2018-094773, No. PGC2018-102021, No. SEV-2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (No. FP7/2007-2013) including ERC Grant Agreements No. 240672, No. 291329, and No. 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq Grant No. 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
| Funders | Funder number |
|---|---|
| Atraccion de Talento Program | 2019-T1/TIC-12702 |
| Brazilian Instituto Nacional de Ciência e Tecnologia | |
| Collaborating Institutions in the Dark Energy Survey | 2012B-0001 |
| Fermi Research Alliance, LLC | DE-AC02-07CH11359 |
| IFT Centro de Excelencia Severo Ochoa | EU-HORIZON-2020-776247 |
| Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University | |
| Science and Technology Facilities Council of the United Kingdom | |
| National Science Foundation | AST-1138766, AST-1536171 |
| National Science Foundation | |
| U.S. Department of Energy | |
| Office of Science | |
| High Energy Physics | |
| Ohio State University | |
| University of Chicago | |
| National Centre for Supercomputing Applications | |
| Seventh Framework Programme | FP7/2007-2013 |
| Seventh Framework Programme | |
| Higher Education Funding Council for England | |
| Comunidad de Madrid | |
| European Commission | |
| European Research Council | 240672, 306478, 291329 |
| European Research Council | |
| Deutsche Forschungsgemeinschaft | |
| National Natural Science Foundation of China | 12273121, CMS-CSST-2021-B01, 11873102 |
| National Natural Science Foundation of China | |
| Generalitat de Catalunya | |
| Ministério da Ciência, Tecnologia e Inovação | |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico | 465376/2014-2 |
| Conselho Nacional de Desenvolvimento Científico e Tecnológico | |
| Guangzhou Science and Technology Program key projects | 202002030360 |
| Guangzhou Science and Technology Program key projects | |
| Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro | |
| Financiadora de Estudos e Projetos | |
| Ministerio de Ciencia e Innovación | SEV-2016-0588, SEV-2016-0597, MDM-2015-0509, PGC2018-094773, PGC2018-102021, ESP2017-89838 |
| Ministerio de Ciencia e Innovación | |
| Instituto Nacional de Ciência e Tecnologia para Excitotoxicidade e Neuroproteção | |
| Ministry of Education and Science of Ukraine | |
| European Regional Development Fund | |
| Agencia Estatal de Investigación |