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Record W2466442027 · doi:10.1117/12.2233782

Holographic beam mapping of the CHIME pathfinder array

2016· article· en· W2466442027 on OpenAlexaffabout
Philippe Berger, Laura Newburgh, M. Amiri, Kevin Bandura, Jean-François Cliche, Liam Connor, Meiling Deng, Nolan Denman, M. Dobbs, Mateus Fandino, A. J. Gilbert, Deborah C. Good, M. Halpern, D. Hanna, Adam D. Hincks, G. Hinshaw, C. Höfer, Andre M. Johnson, T. L. Landecker, Kiyoshi W. Masui, Juan Mena Parra, Niels Oppermann, Ue‐Li Pen, J. B. Peterson, Andre Recnik, Timothy Robishaw, J. Richard Shaw, Seth R. Siegel, Kris Sigurdson, Kendrick M. Smith, Émilie Storer, Ian Tretyakov, Kwinten Van Gassen, K. Vanderlinde, Donald Wiebe

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsPerimeter InstituteCanadian Institute for Advanced ResearchDominion Astrophysical ObservatoryMcGill UniversityUniversity of British ColumbiaCanadian Institute for Theoretical AstrophysicsUniversity of Toronto
Fundersnot available
KeywordsPathfinderHolographyComputer scienceBeam (structure)OpticsPhysicsWorld Wide Web

Abstract

fetched live from OpenAlex

The Canadian Hydrogen Intensity Mapping Experiment (CHIME) Pathfinder radio telescope is currently surveying the northern hemisphere between 400 and 800 MHz. By mapping the large scale structure of neutral hydrogen through its redshifted 21 cm line emission between <i>z</i>&sim;0.8-2.5 CHIME will contribute to our understanding of Dark Energy. Bright astrophysical foregrounds must be separated from the neutral hydrogen signal, a task which requires precise characterization of the polarized telescope beams. Using the DRAO John A. Galt 26 m telescope, we have developed a holography instrument and technique for mapping the CHIME Pathfinder beams. We report the status of the instrument and initial results of this effort.

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)0.000
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.009
GPT teacher head0.201
Teacher spread0.192 · 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 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

Citations24
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicRadio Astronomy Observations and TechnologyFrench-language works237,207