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Record W2227274187 · doi:10.1093/mnras/stw641

The Dark Energy Survey: more than dark energy – an overview

2016· article· en· W2227274187 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGalaxies: Formation, Evolution, Phenomena
Canadian institutionsNGC Aerospace (Canada)
FundersSLAC National Accelerator LaboratoryUniversity of PennsylvaniaFinanciadora de Estudos e ProjetosLawrence Berkeley National LaboratoryNational Science FoundationFermilabInstitut de Física d'Altes EnergiesConselho Nacional de Desenvolvimento Científico e TecnológicoDeutsche ForschungsgemeinschaftUniversity of EdinburghIntegrated Electronics Engineering Center, Binghamton UniversityUniversity of Illinois at Urbana-ChampaignUniversity of SussexArgonne National LaboratoryU.S. Department of EnergyEuropean CommissionUniversity of PortsmouthUniversity of NottinghamScience and Technology Facilities CouncilUniversity College LondonUniversity of MichiganOhio State UniversityUniversity of ChicagoUniversity of Cambridge
KeywordsPhysicsDark energyAstrophysicsDark matterAstronomyGalaxyWeak gravitational lensingCold dark matterGravitational lensRedshiftMilky WayGalaxy clusterQuasarCosmology

Abstract

fetched live from OpenAlex

This overview paper describes the legacy prospect and discovery potential of the Dark Energy Survey (DES) beyond cosmological studies, illustrating it with examples from the DES early data. DES is using a wide-field camera (DECam) on the 4 m Blanco Telescope in Chile to image 5000 sq deg of the sky in five filters (grizY).

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.

Full frame distilled prediction

Teacher imitation

Not 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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.015
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.216
Teacher spread0.204 · 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