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Record W2959544730

End-to-End Pipeline Methods for Full-Sky 21 cm Cosmology: Application to the CHIME Pathfinder Array

2019· dissertation· en· W2959544730 on OpenAlexaboutno aff
Philippe Berger

Bibliographic record

VenueTSpace · 2019
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicRadio Astronomy Observations and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPathfinderSkyPipeline (software)CosmologyAstronomyComputer sciencePhysicsLibrary scienceOperating system
DOInot available

Abstract

fetched live from OpenAlex

The technique of 21 cm Line Intensity Mapping (LIM) has emerged as a promising new frontier in the field of observational cosmology, promising fast tomographic mapping of enormous volumes at the angular resolution needed to resolve Universe’s large-scale structure. The Canadian Hydrogen Intensity Mapping Experiment (CHIME) is a new cylindrical transit interferometer that has begun observations at the Dominion Radio Astrophysical Observatory in Penticton, British Columbia. A two cylinder test-bed – the CHIME Pathfinder – has been surveying the Northern hemisphere in 1024 frequency bands between 400 and 800 MHz since the fall of 2015. These telescopes are optimized for 21 cm LIM at redshifts 0.8 − 2.5, targeting a time-resolved detection of the Baryon Acoustic Oscillations. Control of the systematics accompanied by modern interferometers has instituted a new philosophy of “end-to-end modelling” in the field: whereby the underlying signal, astrophysical foregrounds, telescope, and receiving electronics are modelled together in feedback with the data. In this thesis we describe the development of end-to-end analysis and forward modelling techniques for 21 cm LIM. First, we describe a novel subgrid biasing scheme for dark matter halo catalogs and its application to more accurate modelling of the intensity mapping signal component. The systematic focused on in this thesis is the angular response function, or “beam,” of the interferometer. We go on to describe the radio holography technique implemented to measure this function for each of the CHIME Pathfinder’s 256 inputs and develop a data analysis pipeline capable of converting time-ordered data to a beam model for input to the mapmaker. Finally, we present a modification of the m-mode formalism mapmaker, designed explicitly for full-sky 21 cm LIM, which relaxes the usual assumption of statistical isotropy of the signal, allowing it to treat arbitrarily realistic sky models. We then exploit these tools to deconvolve CHIME Pathfinder maps with the beam model constructed from holography, and find a minimum factor of 2 improvement over previous methods. In its entirety, this thesis forms a foundation for the methods necessary extract accurate cosmological information from modern interferometers such as CHIME and its Pathfinder.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.011
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
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 science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.016
GPT teacher head0.354
Teacher spread0.337 · 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 designSimulation or modeling
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

Citations0
Published2019
Admission routes1
Has abstractyes

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