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Record W2591019326 · doi:10.3847/1538-3881/aa72d9

The First Data Release of the Beijing-Arizona Sky Survey

2017· article· en· W2591019326 on OpenAlexafffund
Hu Zou, Tianmeng Zhang, Zhimin Zhou, Jundan Nie, Xiyan Peng, Zhou Xu, Linhua Jiang, Zheng Cai, Arjun Dey, Xiaohui Fan, Dongwei Fan, Yucheng Guo, Boliang He, Dustin Lang, Michael P. Lesser, Zefeng Li, Jun Ma, Shude Mao, Ian D. McGreer, David J. Schlegel, Yali Shao, Jiali Wang, Shu Wang, Xiaohan Wu, Qian Yang, Minghao Yue

Bibliographic record

VenueThe Astronomical Journal · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
FundersLawrence Berkeley National LaboratoryPlanetary Science DivisionSmithsonian Astrophysical ObservatoryMax-Planck-Institut für AstronomieMax-Planck-GesellschaftGordon and Betty Moore FoundationQueen's University BelfastDurham UniversityYork UniversitySpace Telescope Science InstituteLos Alamos National LaboratoryPrinceton UniversityUniversity of WashingtonJohns Hopkins UniversityNational Science FoundationQueen's UniversityOhio State UniversityNational Central UniversityNew Mexico State UniversityUniversity of PortsmouthVanderbilt UniversityScience Mission DirectorateYale UniversityEötvös Loránd TudományegyetemCalifornia Institute of TechnologyNational Aeronautics and Space AdministrationSmithsonian Institution
KeywordsSkyBeijingTelescopeAstrophysicsExtinction (optical mineralogy)Bass (fish)GeographyPhysicsRemote sensingGeologyAstronomyArchaeologyOceanographyPaleontology

Abstract

fetched live from OpenAlex

Abstract The Beijing-Arizona Sky Survey (BASS) is a new wide-field legacy imaging survey in the northern Galactic cap using the 2.3 m Bok telescope. The survey will cover about 5400 deg 2 in the g and r bands, and the expected 5 σ depths (corrected for the Galactic extinction) in these two bands are g = 24.0 and r = 23.4 mag (AB magnitude). BASS started observations in 2015 January and had completed about 41% of the area as of 2016 July. The first data release contains calibrated images obtained in 2015 and 2016 and their corresponding single-epoch and co-added catalogs. The actual depths of the single-epoch images are g ∼ 23.4 and r ∼ 22.9 mag. The full depths of the three epochs are g ∼ 24.1 and r ∼ 23.5 mag.

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 categoriesScience and technology studies
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 score0.999

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 studies0.0030.000
Scholarly communication0.0000.000
Open science0.0030.001
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 head0.038
GPT teacher head0.264
Teacher spread0.226 · 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.

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

Citations27
Published2017
Admission routes2
Has abstractyes

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