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Record W2762877509 · doi:10.3847/1538-4365/aaa3e2

The DECam Plane Survey: Optical Photometry of Two Billion Objects in the Southern Galactic Plane

2018· article· en· W2762877509 on OpenAlexafffund

Bibliographic record

VenueThe Astrophysical Journal Supplement Series · 2018
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGamma-ray bursts and supernovae
Canadian institutionsUniversity of TorontoUniversity of Waterloo
FundersArgonne National LaboratoryPlanetary Science DivisionIntegrated Electronics Engineering Center, Binghamton UniversityScience and Technology Facilities CouncilScience Mission DirectorateSmithsonian Astrophysical ObservatoryUniversity of Illinois at Urbana-ChampaignOffice of ScienceMax-Planck-Institut für AstronomieInstitut de Física d'Altes EnergiesMax-Planck-GesellschaftConselho Nacional de Desenvolvimento Científico e TecnológicoDeutsche ForschungsgemeinschaftGordon and Betty Moore FoundationQueen's University BelfastNational Aeronautics and Space AdministrationUniversity College LondonSpace Telescope Science InstituteUniversity of PortsmouthLos Alamos National LaboratoryJohns Hopkins UniversityUniversity of ChicagoSLAC National Accelerator LaboratoryQueen's UniversityOhio State UniversityEötvös Loránd TudományegyetemSmithsonian InstitutionU.S. Department of EnergyUniversity of SussexNational Central UniversityLawrence Berkeley National LaboratoryUniversity of PennsylvaniaFinanciadora de Estudos e ProjetosFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroDurham UniversityFermilabNational Science Foundation
KeywordsGalactic planeMilky WayPhotometry (optics)StarsGalaxyGalactic CenterGalactic tide

Abstract

fetched live from OpenAlex

Abstract The DECam Plane Survey is a five-band optical and near-infrared survey of the southern Galactic plane with the Dark Energy Camera at Cerro Tololo. The survey is designed to reach past the main-sequence turn-off of old populations at the distance of the Galactic center through a reddening of 1.5 mag. Typical single-exposure depths are 23.7, 22.8, 22.3, 21.9, and 21.0 mag (AB) in the grizY bands, with seeing around . The footprint covers the Galactic plane with , . The survey pipeline simultaneously solves for the positions and fluxes of tens of thousands of sources in each image, delivering positions and fluxes of roughly two billion stars with better than 10 mmag precision. Most of these objects are highly reddened and deep in the Galactic disk, probing the structure and properties of the Milky Way and its interstellar medium. The fully-processed images and derived catalogs are publicly available.

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 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 score0.023
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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 teacher head, 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

Citations153
Published2018
Admission routes2
Has abstractyes

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