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Kaonic atoms measurements at the DAΦNE collider: the SIDDHARTA experiment

2012· article· en· W2059490591 on OpenAlexaff
A. Rizzo, M. Bazzi, G. Beer, C. Berucci, L. Bombelli, A.M. Bragadireanu, M. Cargnelli, C. Curceanu, A. D’Uffizi, C. Fiorini, T. Frizzi, F. Ghio, C. Guaraldo, R. Hayano, M. Iliescu, T. Ishiwatari, M. Iwasaki, P. Kienle, P. Levi Sandri, A. Longoni, J. Márton, S. Okada, D. Pietreanu, T. Ponta, A. Romero Vidal, E. Sbardella, A. Scordo, H. Shi, D. Sirghi, F. Sirghi, H. Tatsuno, A. Tudorache, V. Tudorache, O. Vázquez Doce, E. Widmann, B. Wünschek, J. Zmeskal

Bibliographic record

VenueJournal of Physics Conference Series · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPhysicsChiral perturbation theoryQuantum chromodynamicsRealisationExotic atomHeliumPerturbation theory (quantum mechanics)Nuclear physicsParticle physicsHydrogenAtomic physicsQuantum mechanics

Abstract

fetched live from OpenAlex

This work presents the SIDDHARTA experimental results on the kaonic hydrogen and helium atoms, reviewing some fundamental aspects of the physics case. After an introduction about the fundamental role played by these bound systems and their X-ray transitions measurements in testing the reliability of the Chiral Perturbation Theory as a realisation of Quantum Chromodynamics at low energies, a short review of the light kaonic atoms physics is given. The review, highlighting the experimental challenges, aims to better understand the SIDDHARTA performances to obtain the most precise spectroscopic X-ray measurements of these light kaonic atoms. A description of the SIDDHARTA apparatus is followed by the presentation of the results on kaonic hydrogen and helium, nowadays the most precise available in literature.

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)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.074
GPT teacher head0.321
Teacher spread0.247 · 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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