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Record W4402194830 · doi:10.33612/diss.1085251579

Angles and B-mons

2024· dissertation· en· W4402194830 on OpenAlexaff
Aleksandra Snoch

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Numerical Analysis Techniques
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Fundamental research in physics aims to answer questions about the nature of the Universe. Particle physics focuses on the fundamental forces and building blocks of matter. The best model to date is the Standard Model (SM) of particle physics. <br/>According to the Standard Model, the Universe is composed of particles that make up matter — quarks and leptons — and particles that carry the interactions between them. One of the quarks, called a beauty quark b, is the focus of this dissertation.<br/><br/>Investigating the decays of the beauty quark can provide an insight into physics beyond the SM. In particular, this research focuses on the b→sll transition. According to the SM, this process is very rare, making it easier to observe potential contributions from new physics, even if they are small.<br/><br/>The decay of interest in this search is B→K*ee. The analysis is performed by fitting an angular function to the distributions of the decay angles and comparing the best-fit parameters with SM predictions. To ensure reliable results, the angular analysis is performed first using a ''control channel'': a decay that results in the same particles but is well known and agrees with the Standard Model predictions. In this analysis, the control decay is B→K*J/ψ(→ee). An angular analysis of this decay is the main topic of this thesis.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.779
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

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

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 head0.003
GPT teacher head0.234
Teacher spread0.231 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2024
Admission routes1
Has abstractyes

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