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Record W7161986520 · doi:10.82308/24875

Development and testing of antenna and subsystems for MIST, a 21-cm global signal experiment to study the cosmic dawn epoch of the universe

2021· dissertation· en· W7161986520 on OpenAlexaboutno aff
Matheus Azevedo Silva Pessoa

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsRedshiftReionizationStarsMilky WayQUIETAntenna (radio)COSMIC cancer databaseUniverse

Abstract

fetched live from OpenAlex

The epoch when the first stars in the Universe were born is an unsolved mystery in cosmology. Observations of this time are possible only through measurements of the redshifted 21-cm neutral hydrogen line, which are fundamental to our understanding of the Universe. The epoch known as the Cosmic Dawn can be probed by making 21--cm brightness temperature measurements averaged spatially across the sky, and the glow of the first stars is expected to cause a spectral absorption feature in this global signal. The EDGES experiment in 2018 reported an absorption feature centered at 78~MHz, with 0.5 K in depth; this absorption feature can be interpreted as being a detection of the global signal. RFI contamination, strong foreground emissions from the Milky Way (~10^3 K), ionospheric effects, and instrumental systematics are the biggest challenges to overcome experimentally, representing the primary limitations in obtaining a high-fidelity detection, and therefore new independent measurements are necessary. This thesis focuses on the development of MIST and Mini-MIST, new experimental efforts for detecting the global signal. These instruments will be installed in northern Chile and at the McGill Arctic Research Station (MARS), two of the most radio quiet sites on Earth. Because the measurement is limited by systematics, rather than statistical error, the primary challenge is precise design and characterization of MIST subsystems. The ultimate goal involves distinguishing the signal from Galactic foreground emission, which requires rigorously calibrating the instrument to approximately 1 part in 10^4. This thesis presents the development of a variety of MIST subsystems, including antenna design, readout electronics characterization, data acquisition, software development, and environmental monitoring of soil conductivity and permittivity. With our efforts, MIST and Mini-MIST will provide invaluable, independent measurements of the Cosmic Dawn signal

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)0.002
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.025
GPT teacher head0.265
Teacher spread0.240 · 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
Published2021
Admission routes1
Has abstractyes

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