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Record W7028658026

Exploratory study of ECL backgrounds arising from charged hadrons at belle II

2024· dissertation· en· W7028658026 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2024
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsExploratory researchHadronElectron–positron annihilationSpectral lineDetector
DOInot available

Abstract

fetched live from OpenAlex

The Belle II experiment is making ultra precise measurements of B meson decay chains to search for deviations from the Standard Model, the leading theory of particle physics.Many physics analyses at Belle II analyze residual electromagnetic calorimeter (ECL) energy to significantly improve their signal decay purity.Spurious ECL clusters decrease the separation power of residual ECL energy, thereby reducing precision of physics measurements.Therefore, it is important to remove the spurious ECL clusters from the residual ECL energy measurement while keeping any residual energy from true sources.To improve the discrimination between true and spurious ECL clusters, characterization studies of the sources for spurious clusters were performed.It was found that the majority of spurious clusters (not arising from beam background or bremsstrahlung radiation) were due to processes called hadronic split off and low transverse momentum clustering.These processes were characterized by the momentum and type of the particles that cause them.Relations between the spurious cluster and the track associated to the charged particle causing the spurious cluster were found to be promising discriminators that have not yet been used in the discrimination of spurious ECL clusters.i

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
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 score0.242
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.000
Scholarly communication0.0000.001
Open science0.0010.002
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.027
GPT teacher head0.283
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 teacher head, not a consensus.

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
Published2024
Admission routes1
Has abstractyes

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