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Record W3105212329

Parity Violation in pp and np Experiments

2008· article· en· W3105212329 on OpenAlexaff
W. D. Ramsay

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicStatistical Methods in Clinical Trials
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsParity (physics)Computer sciencePhysicsParticle physics
DOInot available

Abstract

fetched live from OpenAlex

Parity violation experiments involving only two nucleons provide a way to study the non-leptonic, strangeness-conserving part of the weak interaction in a clean measurement free of nuclear structure uncertainties. Such measurements are particularly appropriate for discussion at this conference as their success depends critically on the ability to accurately control and measure spin. Although simple in principle, the experiments are technically very demanding and great pains must be taken both in the preparation of the incident polarized beams and the measurement of the resultant parity violating asymmetries, which may be masked by a multitude of systematic effects. At low and intermediate energies, ⃗pp experiments are sensitive to the medium range part of the parity violating nucleon-nucleon force, usually parameterized in terms of rho and omega meson exchange. The pion does not contribute to parity violation in the pp experiments, as the π0 is its own antiparticle and parity violation would also imply CP violation. I review existing pp measurements with particular emphasis on the recent 221 MeV ⃗pp measurement at TRIUMF which and hpp ω to be determined separately for the first time. The ⃗np experiments, on the other hand, are used to extract the weak pion nucleon coupling, fπ, describing the longest range part of the parity violating nucleonnucleon force. The np system is the only two nucleon system that is sensitive to fπ. I also review these experiments, with specific details of the ⃗np → dγ experiment now under preparation at Los Alamos National Laboratory. permitted the weak meson-nucleon coupling constants h pp ρ 1 p detector target detector

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)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.540
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.021
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 head0.766
GPT teacher head0.616
Teacher spread0.149 · 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 designTheoretical or conceptual
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

Citations1
Published2008
Admission routes1
Has abstractyes

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