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Updates on the Array of Long Baseline Antennas for Taking Radio Observations from the Seventy-Ninth Parallel

2025· article· en· W4408199597 on OpenAlexaff
Lawrence A. Herman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsMcGill University
Fundersnot available
KeywordsBaseline (sea)NinthRadio frequencyComputer scienceDirectional antennaTelecommunicationsElectrical engineeringPhysicsEngineeringAntenna (radio)AcousticsGeology

Abstract

fetched live from OpenAlex

The cosmic “dark ages” refers to the period when the universe was filled with neutral hydrogen after recombination and prior to the cosmic dawn. This period can be probed via measurements of redshifted 21 cm emissions of neutral hydrogen at ≲ 30 MHz. To date, the dark ages remains unobserved due to the experimental challenges of overcoming Galactic foreground emissions, ionospheric contamination, and terrestrial radio-frequency interference (RFI). The Array of Long Baseline Antennas for Taking Radio Observations from the Seventy-ninth parallel (ALBATROS) aims to characterize Galactic foregrounds at these low radio frequencies with an order of magnitude resolution improvement over existing data below ~30 MHz, paving the way for future observations of the dark ages. The state of the art among ground-based measurements dates from the 1950s, when Reber and Ellis caught brief glimpses of the 2.1 MHz sky at ~ 5° resolution, using an array of 192 dipoles (Reber & Ellis, 1956). With an operating frequency range of 1.2 - 125 MHz, ALBATROS is an interferometric array consisting of multiple independent stations of dual polarization Long Wavelength Array (LWA) dipole antennas connected to back-end readout electronics.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.012

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 head0.029
GPT teacher head0.258
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2025
Admission routes1
Has abstractyes

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