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Record W2501864044 · doi:10.1093/mnras/stx721

The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample

2017· article· en· W2501864044 on OpenAlexfundno aff
Shadab Alam, M. Ata, S. Bailey, Florian Beutler, Dmitry Bizyaev, J. Blazek, A. Bolton, Joel R. Brownstein, A. Burden, Chia-Hsun Chuang, Johan Comparat, Antonio J. Cuesta, Kyle Dawson, Daniel J. Eisenstein, S. Escoffier, Héctor Gil-Marín, Jan Niklas Grieb, Nick Hand, Shirley Ho, Karen Kinemuchi, D. Kirkby, Francisco-Shu Kitaura, Elena Malanushenko, Viktor Malanushenko, Claudia Maraston, Cameron K. McBride, Robert C. Nichol, Matthew D. Olmstead, Daniel Oravetz, Nikhil Padmanabhan, N. Palanque‐Delabrouille, Kaike Pan, Marcos Pellejero-Ibáñez, Will J. Percival, Patrick Petitjean, Francisco Prada, Adrian M. Price-Whelan, Beth Reid, Sergio Rodríguez-Torres, Natalie A. Roe, Ashley J. Ross, Nicholas P. Ross, Graziano Rossi, J. A. Rubiño-Martín, Shun Saito, Salvador Salazar-Albornoz, Lado Samushia, Ariel G. Sánchez, Siddharth Satpathy, David J. Schlegel, Donald P. Schneider, Claudia G. Scóccola, Hee‐Jong Seo, E. S. Sheldon, Audrey Simmons, Anže Slosar, Michael A. Strauss, Molly E. C. Swanson, D. Thomas, Jeremy L. Tinker, Rita Tojeiro, M. Vargas-Magaña, J. Alberto Vázquez, Licia Verde, David A. Wake, Yuting Wang, David H. Weinberg, Martin White, W. M. Wood‐Vasey, Christophe Yèche, Idit Zehavi, Zhongxu Zhai, Gong‐Bo Zhao

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsnot available
FundersBrookhaven National LaboratoryLawrence Berkeley National LaboratoryInstitut de Ciències del CosmosScience and Technology Facilities CouncilAgence Nationale de la RechercheHigh Energy PhysicsDeutsche ForschungsgemeinschaftYork UniversitySejong UniversityOhio State UniversityNational Research FoundationCarnegie Mellon UniversityUniversity of ArizonaOffice of ScienceCollege of Engineering, Michigan State UniversityPrinceton UniversityAlfred P. Sloan FoundationUniversity of WashingtonJohns Hopkins UniversityHarvard UniversityNational Research Foundation of KoreaNew Mexico State UniversityUniversity of PortsmouthYale UniversityVanderbilt UniversityNational Science FoundationMinistry of Education, Science and TechnologyNational Aeronautics and Space AdministrationU.S. Department of Energy
KeywordsPhysicsCosmic microwave backgroundDark energyAstrophysicsBaryon acoustic oscillationsGalaxyRedshiftRedshift-space distortionsHubble's lawBaryonPlanckRedshift surveyCosmologyAstronomyAnisotropy

Abstract

fetched live from OpenAlex

We present cosmological results from the final galaxy clustering data set of the Baryon Oscillation Spectroscopic Survey, part of the Sloan Digital Sky Survey III. Our combined galaxy sample comprises 1.2 million massive galaxies over an effective area of 9329 deg 2 and volume of 18.7 Gpc 3 , divided into three partially overlapping redshift slices centred at effective redshifts 0.38, 0.51 and 0.61. We measure the angular diameter distance D M and Hubble parameter H from the baryon acoustic oscillation (BAO) method, in combination with a cosmic microwave background prior on the sound horizon scale, after applying reconstruction to reduce non-linear effects on the BAO feature. Using the anisotropic clustering of the

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.235
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3,128
Published2017
Admission routes1
Has abstractyes

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