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Record W2007469772 · doi:10.1007/s10751-011-0552-9

Kaonic 3He and 4He X-ray measurements in SIDDHARTA

2012· article· en· W2007469772 on OpenAlexaff
T. Ishiwatari, M. Bazzi, G. Beer, C. Berucci, L. Bombelli, A.M. Bragadireanu, M. Cargnelli, A. Clozza, G. Corradi, C. Curceanu, A. D’Uffizi, C. Fiorini, F. Ghio, B. Girolami, C. Guaraldo, R. Hayano, M. Iliescu, M. Iwasaki, P. Kienle, P. Levi Sandri, V. Lucherini, J. Márton, S. Okada, D. Pietreanu, K. Piscicchia, M. Poli Lener, T. Ponta, R. Quaglia, A. Rizzo, 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

VenueHyperfine Interactions · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Victoria
FundersAutoritatea Natională pentru Cercetare StiintificăAustrian Science FundBundesministerium für Wissenschaft und ForschungBundesministerium für Bildung, Wissenschaft und KulturMinistry of Education, Culture, Sports, Science and Technology
KeywordsPhysicsHeliumNuclear physicsAtomic physics

Abstract

fetched live from OpenAlex

The SIDDHARTA experiment measured the kaonic 3He and 4He 3d →2p X-ray transitions using gaseous targets for the first time. The strong-interaction shift both of the kaonic 3He and 4He 2p states was determined with a precision of a few eV. The shift of kaonic 4He is much smaller than the values obtained in the experiments performed in 70’s and 80’s, while it is consistent with the recent result of the KEK E570 experiment, as well as the theoretical calculated values. Therefore, the problem on kaonic helium (the “kaonic helium puzzle”) was definitely solved. The first observation of the kaonic 3He X-rays was also achieved in the SIDDHARTA experiment. The shift both of kaonic 3He and 4He was found to be as small as a few eV.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.997

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)0.0040.001

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 head0.044
GPT teacher head0.254
Teacher spread0.210 · 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 designObservational
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
Published2012
Admission routes1
Has abstractyes

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