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Dark energy survey year 3 results: Cosmological constraints from cluster abundances, weak lensing, and galaxy clustering
M. Aguena, A. Alarcon, A. Amon, Dhayaa Anbajagane, F. Andrade-Oliveira, S. Àvila, S. S. Allam, D. Bacon, M. R. Becker, S. Bhargava, J. Blazek, S. Bocquet, D. Brooks, A. Carnero Rosell, J. Carretero, F. J. Castander, C. Chang, A. Choi, Christopher J. Conselice, M. Costanzi, M. Crocce, L. N. da Costa, M. E. S. Pereira, C. Doux, T. M. Davis, S Desai, H. T. Diehl, Scott Dodelson, P. Doel, J. Elvin-Poole, J. Esteves, S. Everett, A. Farahi, A. Ferté, B Flaugher, J. García-Bellido, M. Gatti, G. Giannini, Paul Giles, S. Grandis, D. Gruen, R. A. Gruendl, G. Gutierrez, I. Harrison, S. R. Hinton, Klaus Honscheid, N Jeffrey, T. Jeltema, E. Krause, O. Lahav, S Lee, C. Lidman, M. Lima, H. Lin, J. J. Mohr, J. L. Marshall, J. McCullough, J. Mena-Fernández, R. Miquel, J. Muir, J. Myles, R. L. C. Ogando, A. Palmese, M. Paterno, A. Porredon, J. Prat, A. K. Romer, A. Roodman, Eduardo Rozo, E. S. Rykoff, R. Rosenfeld, E. Sánchez, D. Sanchez Cid, I. Sevilla-Noarbe, M. Smith, E. Suchyta, T. Shin, G. Tarlé, D. Thomas, C. To, M. A. Troxel, V. Vikram, A. R. Walker, David H. Weinberg, N. Weaverdyck, R. H. Wechsler, J. Weller, Hao‐Yi Wu, M. Yamamoto, B. Yanny, Y Zhang, Conghao Zhou
Bibliographic record
VenuePhysical review. D/Physical review. D. · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsInstitute of Particle PhysicsPerimeter InstituteUniversity of Waterloo
FundersSLAC National Accelerator LaboratoryArgonne National LaboratoryEuropean Regional Development FundScience and Technology Facilities CouncilKavli Institute for Cosmological Physics, University of ChicagoUniversity of Illinois at Urbana-ChampaignLudwig-Maximilians-Universität MünchenFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroCentro de Investigaciones Energéticas, Medioambientales y TecnológicasInstituto Nacional de Ciência e Tecnologia: Física Nuclear e AplicaçõesConselho Nacional de Desenvolvimento Científico e TecnológicoHigh Energy PhysicsDeutsche ForschungsgemeinschaftGeneralitat de CatalunyaOffice of ScienceUniversity of EdinburghCenter for Cosmology and Astroparticle Physics, Ohio State UniversityUniversity of SussexUniversity of CambridgeUniversity of PortsmouthUniversity of ChicagoTexas A and M UniversityInstitut de Física d'Altes EnergiesNational Centre for Supercomputing ApplicationsEidgenössische Technische Hochschule ZürichUniversity College LondonMitchell InstituteUniversity of MichiganUniversity of California, Santa CruzOhio State UniversityMinistério da Ciência, Tecnologia e InovaçãoHigher Education Funding Council for EnglandLawrence Berkeley National LaboratoryFinanciadora de Estudos e ProjetosUniversity of PennsylvaniaMinisterio de Ciencia e InnovaciónEuropean CommissionU.S. Department of EnergyUniversity of NottinghamStanford UniversityFermilabNational Science Foundation
KeywordsDark energyAstrophysicsWeak gravitational lensingPhysicsCluster analysisGalaxy clusterGalaxyCluster (spacecraft)AstronomyCosmologyComputer scienceRedshiftStatisticsMathematics
Abstract
DES Collaboration: Abbott, T.M.C. et al.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.020
GPT teacher head0.396
Teacher spread0.376 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
Study designOther design
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
Citations12
Published2025
Admission routes1
Has abstractyes