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Record W3200006305 · doi:10.1142/s2251171722500015

Radio Antenna Design for Sky-Averaged 21cm Cosmology Experiments: The REACH Case

2021· article· en· W3200006305 on OpenAlexaff
John Cumner, Eloy de Lera Acedo, Dirk I. L. de Villiers, Dominic Anstey, C. I. Kolitsidas, B. Gurdon, Nicolas Fagnoni, Paul Alexander, G. Bernardi, H. T. J. Bevins, S. Carey, Jean Cavillot, Riccardo Chiello, Christophe Craeye, W. Croukamp, J. A. Ely, Anastasia Fialkov, Thomas Gessey-Jones, Quentin Gueuning, Will Handley, R. E. Hills, Alec Josaitis, Girish Kulkarni, Alessio Magro, R. Maiolino, P. Daniel Meerburg, Shikhar Mittal, Jonathan R. Pritchard, Ewald Puchwein, N. Razavi‐Ghods, I. L. V. Roque, Anchal Saxena, K. H. Scheutwinkel, Emma Shen, Peter Sims, O. Smirnov, Marta Spinelli, Kristian Zarb Adami

Bibliographic record

VenueJournal of Astronomical Instrumentation · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsMcGill University
FundersScience and Technology Facilities CouncilEngineering and Physical Sciences Research CouncilNederlandse Organisatie voor Wetenschappelijk OnderzoekDepartment of Atomic Energy, Government of IndiaKavli Foundation
KeywordsSkyAntenna (radio)SkywaveDipole antennaComputer scienceBandwidth (computing)PhysicsElectronic engineeringRemote sensingTelecommunicationsAstrophysicsEngineeringRadarGeology

Abstract

fetched live from OpenAlex

Following the reported detection of an absorption profile associated with the 21[Formula: see text]cm sky-averaged signal from the Cosmic Dawn by the EDGES experiment in 2018, a number of experiments have been set up to verify this result. This paper discusses the design process used for global 21[Formula: see text]cm experiments, focusing specifically on the Radio Experiment for the Analysis of Cosmic Hydrogen (REACH). This experiment will seek to understand and compensate for systematic errors present using detailed modeling and characterization of the instrumentation. Detailed quantitative figures of merit and numerical modeling are used to assist the design process of the REACH dipole antenna (one of the two antenna designs for REACH Phase I). This design process produced a 2.5:1 frequency bandwidth dipole. The aim of this design was to balance spectral smoothness and low impedance reflections with the ability to describe and understand the antenna response to the sky signal to inform the critically important calibration during observation and data analysis.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.289
Teacher spread0.252 · 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
GenreMethods

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

Citations37
Published2021
Admission routes1
Has abstractyes

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