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Record W2130004173 · doi:10.1063/1.1457714

BLAST—a balloon-borne large aperture submillimeter telescope

2002· article· en· W2130004173 on OpenAlexaff
Joshua O. Gundersen, P. A. R. Ade, Jamie Bock, P. de Bernardis, Matt Griffin, M. Halpern, David W. Hughes, Jeff Klein, S. Masi, P. Mauskopf, Barth Netterfield, L. Olmi, D. Scott, Greg Tucker

Bibliographic record

VenueAIP conference proceedings · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsUniversity of TorontoUniversity of British Columbia
Fundersnot available
KeywordsBolometerPhysicsTelescopeMillimeterAstronomyAperture (computer memory)GalaxyBalloonDetectorAstrophysicsRemote sensingOpticsGeology

Abstract

fetched live from OpenAlex

The Balloon-borne Large Aperture Sub-millimeter Telescope (BLAST) incorporates a two meter primary mirror with large-format bolometer arrays consisting of 149, 88, and 43 elements operating at 250, 350 and 500 μm, respectively. The combination of the dramatically increased atmospheric transmission at balloon altitudes and the extended observing time (10–20 days) afforded by a long duration balloon flight will enable the first sensitive, large-area (≫10 deg2) sub-mm surveys at these wavelengths. These surveys will address some of the most important galactic and cosmological questions regarding the formation and evolution of stars, galaxies, and clusters as well as the source(s) of the cosmic infrared background. The BLAST focal plane will consist of arrays of silicon nitride micromesh, “spider-web” bolometric detectors operating at 300 mK coupled to 2 fλ feedhorn arrays. The first overnight test flight of BLAST is scheduled for autumn of 2002, and the first long duration balloon flight is scheduled to be from McMurdo, Antarctica in 2003–2004.

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: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.021
GPT teacher head0.231
Teacher spread0.210 · 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

Citations3
Published2002
Admission routes1
Has abstractyes

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