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Record W4406546861 · doi:10.1007/s10686-024-09975-3

Receiver design for the REACH global 21-cm signal experiment

2025· article· en· W4406546861 on OpenAlexaff
I. L. V. Roque, N. Razavi‐Ghods, Steven Carey, J. A. Ely, Will Handley, Alessio Magro, Riccardo Chiello, Tian Huang, Paul Alexander, Dominic Anstey, G. Bernardi, H. T. J. Bevins, Jean Cavillot, W. Croukamp, John Cumner, Eloy de Lera Acedo, Dirk I. L. de Villiers, Anastasia Fialkov, T. Gessey-Jones, Quentin Gueuning, Alec Josaitis, G. Kulkarni, S. A. K. Leeney, R. Maiolino, P. Daniel Meerburg, Shikhar Mittal, Michael Pagano, Saurabh Pegwal, C. Pieterse, Jonathan R. Pritchard, Anchal Saxena, K. H. Scheutwinkel, Paul F. Scott, Emma Shen, Peter Sims, O. Smirnov, M. Spinelli, Kristian Zarb Adami

Bibliographic record

VenueExperimental Astronomy · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsMcGill University
FundersScience and Technology Facilities CouncilUniversiteit StellenboschNational Research FoundationRoyal Society
KeywordsSIGNAL (programming language)Remote sensingComputer scienceTelecommunicationsOpticsPhysicsElectrical engineeringGeologyEngineering

Abstract

fetched live from OpenAlex

We detail the REACH radiometric system designed to enable measurements of the 21-cm neutral hydrogen line. Included is the radiometer architecture and end-to-end system simulations as well as a discussion of the challenges intrinsic to highly-calibratable system development. Following this, we share laboratory results based on the calculation of noise wave parameters utilising an over-constrained least squares approach. For five hours of integration on a custom-made source with comparable impedance to that of the antenna used in the field, we demonstrate a calibration RMSE of 80 mK. This paper therefore documents the state of the calibrator and data analysis in December 2022 in Cambridge before shipping to South Africa.

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 score0.015
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0150.013

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 head0.018
GPT teacher head0.283
Teacher spread0.264 · 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

Citations7
Published2025
Admission routes1
Has abstractyes

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