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Record W2981340772 · doi:10.48550/arxiv.1910.12002

The DRAO Synthesis Telescope

2019· preprint· en· W2981340772 on OpenAlexaboutno aff
T. L. Landecker, Leonid Belostotski, James Brown, Brent Carlson, Xuan Du, T. Foster, Alex S. Hill, T. J. Johnson, R. Kothes, M. P. Rupen, Samar Safí-Harb, K. Vanderlinde, B. Veidt, Jennifer West

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAstronomy and Astrophysical Research
Canadian institutionsnot available
Fundersnot available
KeywordsTelescopePhysicsAstronomy

Abstract

fetched live from OpenAlex

The DRAO Synthesis Telescope (ST) is a forefront telescope for imaging large-scale neutral hydrogen and polarized radio continuum emission at arcminute resolution. Equipped for observations at 1420 and 408 MHz, the ST completed the Canadian Galactic Plane Survey, providing pioneering measurements of arcminute-scale structure in HI emission and self-absorption and of the diffuse polarized emission, using a fine grid of Rotation Measures to chart the large-scale Galactic magnetic field, and advancing the knowledge of the Galactic rotation curve. In this paper we describe a plan for renewal of the Synthesis Telescope that will create a forefront scientific instrument, a testbed for new radio astronomy technologies, and a training ground for the next generation of Canadian radio astronomers and radio telescope engineers. The renewed telescope will operate across the entire range 400 to 1800 MHz. Collaborations between DRAO and university partners have already demonstrated a novel feed antenna to cover this range, low-noise amplifiers, and a new GPU-based correlator of bandwidth 400 MHz. The renewed ST will provide excellent sensitivity to extended HI, covering the Galactic disk and halo, spectro-polarimetry with unprecedented resolution in angle and in Faraday depth, the ability to search for OH masers in all four 18-cm lines simultaneously, and sensitive recombination-line observations stacked over as many as forty transitions. As a testbed the renewed ST will evaluate low-cost digital clocking and sampling techniques of wide significance for the ngVLA, SKA, and other future telescopes, and a prototype of the digital correlator developed at DRAO for SKA-mid.

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)0.002
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.058
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0580.050

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 head0.043
GPT teacher head0.194
Teacher spread0.151 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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