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Record W4324046276 · doi:10.4006/0836-1398-36.1.1

Summing up the Feynman diagrams: Toward quantum gluonodynamics

2023· article· en· W4324046276 on OpenAlexvenueno aff
Borros Arneth

Bibliographic record

VenuePhysics Essays · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsnot available
Fundersnot available
KeywordsFeynman diagramPhysicsElementary particlePlanck massFine-structure constantMass formulaElectromagnetic massQuantum mechanicsConstant (computer programming)Interpretation (philosophy)Planck constantCoupling constantQuantumTheoretical physicsParticle physicsElectron

Abstract

fetched live from OpenAlex

Summing up all Feynman diagrams describing an elementary particle can provide a measure of the energy and, with it, the mass of that particle. Moreover, a single mass quantum can be used to convert the Feynman sum into the particle mass. In the following, a mass formula for the calculation of the baryon and meson masses is introduced and explained. This formula involves calculating the number of possible Feynman diagrams and multiplying it by an elementary mass quantum. The mass formula results from a generalization of the connection between the electromagnetic coupling constant alpha ( Sommerfelds constant) and the Rydberg constant . This mass formula adds an energy parametrization to the standard model, an important component that has been missing to date. Afterward, this mass formula is interpreted, leading to an interpretation of the elementary particles that is similar to the way in which molecules are interpreted. In this interpretation, gluons take the place of electrons in the case of elementary particles.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score1.000

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)0.0000.001

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 head0.030
GPT teacher head0.284
Teacher spread0.254 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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