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Record W4226406285 · doi:10.3847/1538-4357/ac6e65

Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies

2022· article· en· W4226406285 on OpenAlexaff
S. Mau, Ethan O. Nadler, Risa H. Wechsler, A. Drlica-Wagner, K. Bechtol, Gregory Green, Dragan Huterer, Ting S. Li, Yao-Yuan Mao, C. E. Martínez-Vázquez, M. McNanna, Burçı̇n Mutlu-Pakdı̇l, Andrew B. Pace, Annika H. G. Peter, A. H. Riley, Louis E. Strigari, M. S. Wang, M. Aguena, S. Allam, J. Annis, David Bacon, E. Bertin, S. Bocquet, D. Brooks, D. L. Burke, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, M. Costanzi, M. Crocce, M. E. S. Pereira, T. M. Davis, J. De Vicente, S. Desai, P. Doel, I. Ferrero, B. Flaugher, J. Frieman, J. García-Bellido, M. Gatti, G. Giannini, D. Gruen, R. A. Gruendl, J. Gschwend, G. Gutiérrez, S. R. Hinton, K. Honscheid, D. J. James, K. Kuehn, O. Lahav, M. A. G. Maia, J. L. Marshall, R. Miquel, J. J. Mohr, R. Morgan, R. L. C. Ogando, F. Paz-Chinchón, A. Pieres, M. Rodriguez-Monroy, E. Sánchez, V. Scarpine, S. Serrano, I. Sevilla-Noarbe, E. Suchyta, G. Tarlé, C. To, D. L. Tucker, J. Weller

Bibliographic record

VenuearXiv (Cornell University) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicDark Matter and Cosmic Phenomena
Canadian institutionsUniversity of Toronto
FundersSLAC National Accelerator LaboratoryIntegrated Electronics Engineering Center, Binghamton UniversityEuropean Regional Development FundScience and Technology Facilities CouncilEuropean CommissionMinisterio de Ciencia e InnovaciónStanford Research Computing Center, Stanford UniversityOffice of ScienceInstitut de Física d'Altes EnergiesConselho Nacional de Desenvolvimento Científico e TecnológicoGeneralitat de CatalunyaUniversity of Illinois at Urbana-ChampaignLawrence Berkeley National LaboratoryUniversity of PennsylvaniaFinanciadora de Estudos e ProjetosFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroUniversity of SussexU.S. Department of EnergySpace Telescope Science InstituteUniversity of PortsmouthUniversity of ChicagoOhio State UniversityMinistério da Ciência, Tecnologia e InovaçãoNational Aeronautics and Space AdministrationUniversity College LondonHigh Energy PhysicsDeutsche ForschungsgemeinschaftArgonne National LaboratoryCentres de Recerca de CatalunyaFermilabNational Science Foundation
KeywordsPhysicsDark matterSatellite galaxyMilky WayAstrophysicsGalaxyPopulationHaloDwarf galaxy problemLocal GroupAstronomyGalaxy formation and evolutionDark matter halo

Abstract

fetched live from OpenAlex

Artículo escrito por un elevado número de autores, solo se referencian el que aparece en primer lugar, el nombre del grupo de colaboración, si le hubiere, y los autores pertenecientes a la UAM

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)0.003
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 score0.118
Threshold uncertainty score0.234

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.044
GPT teacher head0.183
Teacher spread0.138 · 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

Citations40
Published2022
Admission routes1
Has abstractyes

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