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Record W2018407420 · doi:10.1117/12.2056530

The cosmology large angular scale surveyor (CLASS): 38-GHz detector array of bolometric polarimeters

2014· article· en· W2018407420 on OpenAlexaff
John W. Appel, Aamir Ali, M. Amiri, Derek Araujo, Charles Bennet, Fletcher Boone, Manwei Chan, David T. Chuss, Felipe Colazo, E. Crowe, Kevin L. Denis, Rolando Dünner, Joseph R. Eimer, Thomas Essinger-Hileman, D.A. Gothe, M. Halpern, Kathleen Harrington, G. C. Hilton, G. Hinshaw, Caroline D. Huang, K. D. Irwin, Glenn Jones, John Karakula, A. Kogut, David Larson, M. Limon, Lindsay Lowry, Tobias A. Marriage, Nicholas Mehrle, Amber Miller, N. J. Miller, Samuel H. Moseley, Giles Novak, C. D. Reintsema, Karwan Rostem, Thomas R. Stevenson, Deborah Towner, K. U-Yen, Emily Wagner, Duncan J. Watts, Edward J. Wollack, Zhilei Xu, Lingzhen Zeng

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCosmic microwave backgroundBolometerPolarimeterSkyCosmologyPhysicsDetectorPolarization (electrochemistry)AstronomyAstrophysicsOpticsPolarimetryAnisotropy

Abstract

fetched live from OpenAlex

The Cosmology Large Angular Scale Surveyor (CLASS) experiment aims to map the polarization of the Cosmic Microwave Background (CMB) at angular scales larger than a few degrees. Operating from Cerro Toco in the Atacama Desert of Chile, it will observe over 65% of the sky at 38, 93, 148, and 217 GHz. In this paper we discuss the design, construction, and characterization of the CLASS 38 GHz detector focal plane, the first ever Q-band bolometric polarimeter array.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0070.002

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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 designBench or experimental
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

Citations31
Published2014
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicSuperconducting and THz Device TechnologyFrench-language works237,207