First detection of the BAO signal from early DESI data
Full list of the authors: Moon, Jeongin; Valcin, David; Rashkovetskyi, Michael; Saulder, Christoph; Aguilar, Jessica Nicole; Ahlen, Steven; Alam, Shadab; Bailey, Stephen; Baltay, Charles; Blum, Robert; Brooks, David; Burtin, Etienne; Chaussidon, Edmond; Dawson, Kyle; de la Macorra, Axel; de M attia,...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/356888 |
| Acceso en línea: | http://hdl.handle.net/10261/356888 |
| Access Level: | acceso abierto |
| Palabra clave: | Cosmology: large-scale structure of Universe, observations, dark energy Galaxies: statistics Methods: data analysis, statistical |
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First detection of the BAO signal from early DESI data |
| title |
First detection of the BAO signal from early DESI data |
| spellingShingle |
First detection of the BAO signal from early DESI data Moon, Jeongin Cosmology: large-scale structure of Universe, observations, dark energy Galaxies: statistics Methods: data analysis, statistical |
| title_short |
First detection of the BAO signal from early DESI data |
| title_full |
First detection of the BAO signal from early DESI data |
| title_fullStr |
First detection of the BAO signal from early DESI data |
| title_full_unstemmed |
First detection of the BAO signal from early DESI data |
| title_sort |
First detection of the BAO signal from early DESI data |
| dc.creator.none.fl_str_mv |
Moon, Jeongin Prada, Francisco |
| author |
Moon, Jeongin |
| author_facet |
Moon, Jeongin Prada, Francisco |
| author_role |
author |
| author2 |
Prada, Francisco |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
National Research Foundation of Korea Ministry of Education (South Korea) Department of Energy (US) National Science Foundation (US) National Optical Astronomy Observatory (US) Gordon and Betty Moore Foundation Heising Simons Foundation Ministerio de Ciencia e Innovación (España) National Natural Science Foundation of China Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Cosmology: large-scale structure of Universe, observations, dark energy Galaxies: statistics Methods: data analysis, statistical |
| topic |
Cosmology: large-scale structure of Universe, observations, dark energy Galaxies: statistics Methods: data analysis, statistical |
| description |
Full list of the authors: Moon, Jeongin; Valcin, David; Rashkovetskyi, Michael; Saulder, Christoph; Aguilar, Jessica Nicole; Ahlen, Steven; Alam, Shadab; Bailey, Stephen; Baltay, Charles; Blum, Robert; Brooks, David; Burtin, Etienne; Chaussidon, Edmond; Dawson, Kyle; de la Macorra, Axel; de M attia, Arnaud; Dhungana, Govinda; Eisenstein, Daniel; Flaugher, Brenna; Font-Ribera, Andreu; Forero-Romero, Jaime E.; Garcia-Quintero, Cristhian; Gontcho A Gontcho, Satya; Guy, Julien; Hanif, Malik Muhammad Sikandar; Honscheid, Klaus; Ishak, Mustapha; Kehoe, Robert; Kim, Sumi; Kisner, Theodore; Kremin, Anthony; Landriau, Martin; Le Guillou, Laurent; Levi, Michael; Manera, Marc; Martini, Paul; McDonald, Patrick; Meisner, Aaron; Miquel, Ramon; Moustakas, John; Myers, Adam; Nadathur, Seshadri; Neveux, Richard; Newman, Jeffrey A.; Nie, Jundan; Padmanabhan, Nikhil; Palanque-Delabrouille, Nathalie; Percival, Will; Pérez Fernández, Alejandro; Poppett, Claire; Prada, Francisco; Raichoor, Anand; Ross, Ashley J.; Rossi, Graziano; Samushia, Lado; Schlegel, David; Seo, Hee-Jong; Tarlé, Gregory; Vargas Magana, Mariana; Variu, Andrei; Weaver, Benjamin Alan; White, Martin J.; Yèche, Christophe; Yuan, Sihan; Zhao, Cheng; Zhou, Rongpu; Zhou, Zhimin; Zou, Hu |
| publishDate |
2023 |
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2023 2024 2024 2024 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/356888 |
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http://hdl.handle.net/10261/356888 |
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Inglés |
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Inglés |
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http://dx.doi.org/10.1093/mnras/stad2618 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Oxford University Press |
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Oxford University Press |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869423118376763392 |
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First detection of the BAO signal from early DESI dataMoon, JeonginPrada, FranciscoCosmology: large-scale structure of Universe, observations, dark energyGalaxies: statisticsMethods: data analysis, statisticalFull list of the authors: Moon, Jeongin; Valcin, David; Rashkovetskyi, Michael; Saulder, Christoph; Aguilar, Jessica Nicole; Ahlen, Steven; Alam, Shadab; Bailey, Stephen; Baltay, Charles; Blum, Robert; Brooks, David; Burtin, Etienne; Chaussidon, Edmond; Dawson, Kyle; de la Macorra, Axel; de M attia, Arnaud; Dhungana, Govinda; Eisenstein, Daniel; Flaugher, Brenna; Font-Ribera, Andreu; Forero-Romero, Jaime E.; Garcia-Quintero, Cristhian; Gontcho A Gontcho, Satya; Guy, Julien; Hanif, Malik Muhammad Sikandar; Honscheid, Klaus; Ishak, Mustapha; Kehoe, Robert; Kim, Sumi; Kisner, Theodore; Kremin, Anthony; Landriau, Martin; Le Guillou, Laurent; Levi, Michael; Manera, Marc; Martini, Paul; McDonald, Patrick; Meisner, Aaron; Miquel, Ramon; Moustakas, John; Myers, Adam; Nadathur, Seshadri; Neveux, Richard; Newman, Jeffrey A.; Nie, Jundan; Padmanabhan, Nikhil; Palanque-Delabrouille, Nathalie; Percival, Will; Pérez Fernández, Alejandro; Poppett, Claire; Prada, Francisco; Raichoor, Anand; Ross, Ashley J.; Rossi, Graziano; Samushia, Lado; Schlegel, David; Seo, Hee-Jong; Tarlé, Gregory; Vargas Magana, Mariana; Variu, Andrei; Weaver, Benjamin Alan; White, Martin J.; Yèche, Christophe; Yuan, Sihan; Zhao, Cheng; Zhou, Rongpu; Zhou, Zhimin; Zou, HuWe present the first detection of the baryon acoustic oscillations (BAOs) signal obtained using unblinded data collected during the initial 2 months of operations of the Stage-IV ground-based Dark Energy Spectroscopic Instrument (DESI). From a selected sample of 261 291 luminous red galaxies spanning the redshift interval 0.4 < z < 1.1 and covering 1651 square degrees with a 57.9 per cent completeness level, we report a ∼5σ level BAO detection and the measurement of the BAO location at a precision of 1.7 per cent. Using a bright galaxy sample of 109 523 galaxies in the redshift range 0.1 < z < 0.5, over 3677 square degrees with a 50.0 per cent completeness, we also detect the BAO feature at ∼3σ significance with a 2.6 per cent precision. These first BAO measurements represent an important milestone, acting as a quality control on the optimal performance of the complex robotically actuated, fibre-fed DESI spectrograph, as well as an early validation of the DESI spectroscopic pipeline and data management system. Based on these first promising results, we forecast that DESI is on target to achieve a high-significance BAO detection at sub-per cent precision with the completed 5-yr survey data, meeting the top-level science requirements on BAO measurements. This exquisite level of precision will set new standards in cosmology and confirm DESI as the most competitive BAO experiment for the remainder of this decade. © 2023 The Author(s).JM and GR acknowledge support from the National Research Foundation of Korea (NRF) through grant No. 2020R1A2C1005655 funded by the Korean Ministry of Education, Science and Technology (MoEST) and from the faculty research fund of Sejong University in 2022/2023. DV acknowledges support from the U.S. Department of Energy, Office of Science, Office of High Energy Physics under grant nos. DE-SC0019091 and DE-SC0023241. MR is supported by U.S. Department of Energy grant DE-SC0007881 and by the Simons Foundation Investigator program. CS acknowledges support from the National Research Foundation of Korea (NRF) through grant no. 2021R1A2C101302413 funded by the Korean Ministry of Education, Science and Technology (MoEST). CS was also supported by the high-performance computing cluster Seondeok at the Korea Astronomy and Space Science Institute. This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; additional support for DESI is provided by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to the NSF's National Optical-Infrared Astronomy Research Laboratory; the Science and Technologies Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the HeisingSimons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Science and Technology of Mexico (CONACYT); the Ministry of Science and Innovation of Spain (MICINN), and by the DESI Member Institutions: https://www.desi.lbl.gov/collaborating-institutions. This work was led under the supervision of the DESI Y1 catalogue generation Key Project conveners (Arnaud de Mattia and Ashley Ross) and the DESI Y1 BAO Key Project conveners (Nikhil Padmanabhan and Hee-Jong Seo). We thank Antonella Palmese, Eric Linder, and Benjamin Weaver for constructive comments and useful feedback. The authors are honoured to be permitted to conduct scientific research on Iolkam Du'ag (Kitt Peak), a mountain with particular significance to the Tohono O'odham Nation.Oxford University PressNational Research Foundation of KoreaMinistry of Education (South Korea)Department of Energy (US)National Science Foundation (US)National Optical Astronomy Observatory (US)Gordon and Betty Moore FoundationHeising Simons FoundationMinisterio de Ciencia e Innovación (España)National Natural Science Foundation of ChinaConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2024202420232024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/356888reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1093/mnras/stad2618Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3568882026-05-22T06:33:51Z |
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15,81155 |