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Record W4283168730 · doi:10.3847/1538-4357/ac6b9f

Using the Sun to Measure the Primary Beam Response of the Canadian Hydrogen Intensity Mapping Experiment

2022· article· en· W4283168730 on OpenAlexafffundabout
M. Amiri, Kevin Bandura, Anja Boskovic, Jean-François Cliche, Meiling Deng, M. Dobbs, Mateus Fandino, Simon Foreman, M. Halpern, Alex S. Hill, G. Hinshaw, C. Höfer, Joseph Kania, T. L. Landecker, Joshua MacEachern, Kiyoshi W. Masui, Juan Mena-Parra, Laura Newburgh, Anna Ordog, Tristan Pinsonneault-Marotte, Ava Polzin, Alex Reda, J. Richard Shaw, Seth R. Siegel, Saurabh Singh, K. Vanderlinde, Haochen Wang, James S. Willis, Dallas Wulf

Bibliographic record

VenueThe Astrophysical Journal · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsCanadian Institute for Theoretical AstrophysicsUniversity of TorontoOkanagan University CollegePerimeter InstituteUniversity of British Columbia, Okanagan CampusHerzberg Institute of AstrophysicsThompson Rivers UniversityMcGill UniversityUniversity of British Columbia
FundersNational Research Council CanadaUniversity of TorontoNatural Sciences and Engineering Research Council of CanadaInstitut Périmètre de physique théoriqueCanadian Institute for Advanced ResearchSmithsonian Astrophysical ObservatoryWestern Canada Research GridIndustry CanadaCanada Foundation for InnovationNational Science FoundationCompute CanadaMcGill UniversityGovernment of Canada
KeywordsPhysicsBrightnessSkyBeam (structure)TelescopeIntensity (physics)CalibrationBrightness temperatureAstronomyRadio telescopeAstrophysicsRange (aeronautics)OpticsRemote sensingGeography

Abstract

fetched live from OpenAlex

Abstract We present a beam pattern measurement of the Canadian Hydrogen Intensity Mapping Experiment (CHIME) made using the Sun as a calibration source. As CHIME is a pure drift-scan instrument, we rely on the seasonal north–south motion of the Sun to probe the beam at different elevations. This semiannual range in elevation, combined with the radio brightness of the Sun, enables a beam measurement that spans ∼7200 square degrees on the sky without the need to move the telescope. We take advantage of observations made near solar minimum to minimize the impact of solar variability, which is observed to be <10% in intensity over the observation period. The resulting data set is highly complementary to other CHIME beam measurements—both in terms of angular coverage and systematics—and plays an important role in the ongoing program to characterize the CHIME primary beam.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.657
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 science0.0010.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.234
Teacher spread0.204 · 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 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

Citations19
Published2022
Admission routes3
Has abstractyes

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