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Record W7132863642

Instrument Design and Analysis Techniques for Low-Redshift 21 cm Cosmology and Transient Detection with CHORD and CHIME

2023· dissertation· W7132863642 on OpenAlexaboutno aff
Vincent MacKay

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsDetectorObservatoryChord (peer-to-peer)InterferometryTransient (computer programming)Intensity mappingWaveformSensitivity (control systems)Coupling (piping)
DOInot available

Abstract

fetched live from OpenAlex

The Canadian Hydrogen Observatory and Radio-transient Detector (CHORD) is a compact, innovative “large-$N$ , small-$D$” radio interferometric array set for construction in British Columbianext to its older sibling, the Canadian Hydrogen Intensity Mapping Experiment (CHIME). With its 0.3–1.5 GHz band, sub-30 K system temperature, sub-millimeter precision dish surfaces, nearly 15,000 m$^2$ collecting area, and very broad field of view, it is designed to map the Universe’s matter distribution up to redshifts of $$ = 3.7 and boost fast radio burst (FRB) detection rate. This work emphasizes that CHORD’s array elements be located as close as possible to enhance sensitivity to lower k-modes of the matter power spectrum and minimize transient search cost. It also introduces arguments for using very deep dishes ($f/D = 0.21$) based on coupling and ground illumination considerations. Preliminary calibration results from the Deep Dish Development Array (D3A6) suggest that the signal chain’s system temperature matches specifications at lower frequencies ($\nu$ < 0.8 GHz), while further testing is required for higher frequencies. The CHORD feed, designed for the array, is inexpensive and quick to assemble, while maintaining a 30 K system temperature using ambient-temperature analog receiver hardware across the band. The design’s major novelty is an oversized backshort on an exponentially tapered (“Vivaldi”) design, adaptable to an observatory’s impedance and beam shape requirements via a simple optimization algorithm, particularly suitable for very deep dishes ($f/D ≤ 0.25$). In those dishes, the aperture efficiency remains above 50% over the band. Cosmological measurements are complicated by instrumental coupling and foregrounds. We show that coupling can be estimated from electromagnetic (EM) simulations of the array elements using a combination of their S-parameters, time-domain response, and beam shapes. Lowering the focal ratio of the dishes emerged as a powerful method to reduce coupling power. Foregrounds are typically removed from data using their spectral smoothness via a Fourier decomposition along the frequency axis; this can also be done with a singular value decomposition, and we successfully demonstrate this approach on CHIME data.

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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.004

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 head0.014
GPT teacher head0.270
Teacher spread0.256 · 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
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

Citations0
Published2023
Admission routes1
Has abstractyes

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