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Record W2073163146 · doi:10.1051/0004-6361/201423413

Improved cosmological constraints from a joint analysis of the SDSS-II and SNLS supernova samples

2014· article· en· W2073163146 on OpenAlexaff
M. Betoule, R. Keßler, J. Guy, J. Mosher, D. Hardin, Rahul Biswas, P. Astier, P. El-Hage, Michael König, S. E. Kuhlmann, J. Marriner, R. Pain, N. Regnault, C. Balland, Bruce A. Bassett, P. J. Brown, H. Campbell, R. G. Carlberg, F. Cellier-Holzem, D. Cinabro, A. Conley, C. B. D’Andrea, D. L. DePoy, Mamoru Doi, Richard S. Ellis, S. Fabbro, A. V. Filippenko, R. J. Foley, J. Frieman, D. Fouchez, L. Galbany, A. Goobar, R. Gupta, Gary J. Hill, Renée Hložek, Craig J. Hogan, I. Hook, D. A. Howell, Saurabh W. Jha, L. Le Guillou, G. Leloudas, C. Lidman, J. L. Marshall, A. Möller, A. Mourão, J. Neveu, R. C. Nichol, Matthew D. Olmstead, N. Palanque‐Delabrouille, S. Perlmutter, J. L. Prieto, C. J. Pritchet, M. Richmond, Adam G. Riess, V. Ruhlmann-Kleider, M. Šako, K. Schahmanèche, Donald P. Schneider, M. Smith, J. Sollerman, M. Sullivan, N. A. Walton, C. Wheeler

Bibliographic record

VenueAstronomy and Astrophysics · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsUniversity of VictoriaUniversity of Toronto
FundersMax-Planck-Institut für AstronomieUniversidad Nacional Autónoma de MéxicoCentre National de la Recherche ScientifiqueRoyal SocietyMax-Planck-GesellschaftGeorg-August-Universität GöttingenChinese Academy of SciencesNational Aeronautics and Space AdministrationDanmarks GrundforskningsfondUniversity of PittsburghUniversity of CambridgeNational Astronomical Observatory of JapanNew Mexico State UniversityUniversity of PortsmouthOhio State UniversityUniversity of Texas at AustinPennsylvania State UniversityLos Alamos National LaboratoryAlfred P. Sloan FoundationUniversity of WashingtonPrinceton UniversityJohns Hopkins UniversityInstitut National de Physique Nucléaire et de Physique des ParticulesScience and Technology Facilities CouncilUniversität BaselDrexel UniversityUniversity of ChicagoU.S. Naval ObservatoryVetenskapsrådetU.S. Department of EnergyFermilabNational Science FoundationCase Western Reserve University
KeywordsPhysicsAstrophysicsSupernovaCosmologyCosmological modelAstronomy

Abstract

fetched live from OpenAlex

Aims. We present cosmological constraints from a joint analysis of type Ia supernova (SN Ia) observations obtained by the SDSS-II and SNLS collaborations. The dataset includes several low-redshift samples (z< 0.1), all three seasons from the SDSS-II (0.05 <z< 0.4), and three years from SNLS (0.2 <z< 1), and it totals 740 spectroscopically confirmed type Ia supernovae with high-quality light curves.

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)0.006
metaresearch head score (Gemma)0.013
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 score0.012
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.013
GPT teacher head0.207
Teacher spread0.193 · 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

Citations1,927
Published2014
Admission routes1
Has abstractyes

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