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Record W2284415670 · doi:10.1038/nature16491

An improved limit on the charge of antihydrogen from stochastic acceleration

2016· article· en· W2284415670 on OpenAlexafffund
Mostafa Ahmadi, M. Baquero-Ruiz, W. Bertsche, E. Butler, A. Capra, C. Carruth, C. L. Cesar, M. Charlton, Andrew Charman, S. Eriksson, L. T. Evans, N. Evetts, J. Fajans, T. Friesen, M. Fujiwara, D. R. Gill, A. Gutiérrez, J. S. Hangst, W. N. Hardy, M. E. Hayden, C. A. Isaac, Akira Ishida, Stephen A. Jones, S. Jonsell, L. L. Kurchaninov, N. Madsen, D. Maxwell, J. T. K. McKenna, S. Menary, J. M. Michan, Takamasa Momose, J. J. Munich, P. Nolan, K. Olchanski, Å. Olin, A. Povilus, P. Pusa, C. Ø. Rasmussen, F. Robicheaux, R. L. Sacramento, M. Sameed, E. Sarid, D. M. Silveira, C. So, T. D. Tharp, R. I. Thompson, D. P. van der Werf, J. S. Wurtele, Andrey Zhmoginov

Bibliographic record

VenueNature · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSolar and Space Plasma Dynamics
Canadian institutionsUniversity of CalgaryUniversity of VictoriaSimon Fraser UniversityYork UniversityUniversity of British ColumbiaTRIUMF
FundersNatural Sciences and Engineering Research Council of CanadaJapan Society for the Promotion of ScienceIsrael Science FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoNational Science FoundationTRIUMFRoyal SocietyLeverhulme TrustFinanciadora de Estudos e ProjetosEngineering and Physical Sciences Research CouncilAlberta Innovates - Technology FuturesCERNScience and Technology Facilities CouncilFonds Québécois de la Recherche sur la Nature et les TechnologiesU.S. Department of Energy
KeywordsAntihydrogenLimit (mathematics)AccelerationPhysicsCharge (physics)Quantum electrodynamicsNuclear physicsStatistical physicsQuantum mechanicsAntimatterMathematicsElectronMathematical analysis

Abstract

fetched live from OpenAlex

Stochastic acceleration applied to 1,000 trapped antihydrogen atoms yields a 20-fold reduction of the experimental upper bound on the magnitude of the charge of antihydrogen, which is expected to be charge neutral. One of the most puzzling current questions in physics is why we see so much more matter than antimatter in the Universe. Studying the properties of antimatter might give hints about the reasons for this imbalance. According to the Standard Model of particle physics, the charge of antihydrogen should be neutral, but it is challenging to test this experimentally as it is difficult to produce antimatter and to measure its properties. Now a team from the ALPHA collaboration at CERN has measured the charge of antihydrogen, confirming charge neutrality to a precision of a factor of 20 greater than that achieved previously. As the charge of the antiproton is known to similar precision, this result also delivers an improved limit on the positron charge anomaly. Antimatter continues to intrigue physicists because of its apparent absence in the observable Universe. Current theory requires that matter and antimatter appeared in equal quantities after the Big Bang, but the Standard Model of particle physics offers no quantitative explanation for the apparent disappearance of half the Universe. It has recently become possible to study trapped atoms1–4 of antihydrogen to search for possible, as yet unobserved, differences in the physical behaviour of matter and antimatter. Here we consider the charge neutrality of the antihydrogen atom. By applying stochastic acceleration to trapped antihydrogen atoms, we determine an experimental bound on the antihydrogen charge, Qe, of |Q| < 0.71 parts per billion (one standard deviation), in which e is the elementary charge. This bound is a factor of 20 less than that determined from the best previous measurement5 of the antihydrogen charge. The electrical charge of atoms and molecules of normal matter is known6 to be no greater than about 10−21e for a diverse range of species including H2, He and SF6. Charge–parity–time symmetry and quantum anomaly cancellation7 demand that the charge of antihydrogen be similarly small. Thus, our measurement constitutes an improved limit and a test of fundamental aspects of the Standard Model. If we assume charge superposition and use the best measured value of the antiproton charge8, then we can place a new limit on the positron charge anomaly (the relative difference between the positron and elementary charge) of about one part per billion (one standard deviation), a 25-fold reduction compared to the current best measurement8,9.

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)0.002
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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.006
GPT teacher head0.232
Teacher spread0.226 · 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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Citations59
Published2016
Admission routes2
Has abstractyes

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