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Record W2118886827 · doi:10.5539/jmr.v7n4p12

Investigation of Superluminal Motion of Free Spin-half Particles in Spacetime

2015· article· en· W2118886827 on OpenAlexvenueno aff
Emmanuel Gazoya, Francis T. Oduro, Edward Prempeh

Bibliographic record

VenueJournal of Mathematics Research · 2015
Typearticle
Languageen
FieldMathematics
TopicAlgebraic and Geometric Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSpinorPhysicsSpin (aerodynamics)Lorentz transformationDirac equationDirac (video compression format)Angular momentumMathematical physicsSuperluminal motionSpacetimeQuantum mechanicsWave function

Abstract

fetched live from OpenAlex

The possibility of free spin-1/2 particles (also called Dirac particles)superluminal motion in spacetime, is investigated. The universal coverof the entire Lorentz group $\mathcal{L}$ consists of $SL\left(2,\mathbb{C}\right)$and the spinor map so that to obtain a relativistically invariantdescription of the state of an electron, one looks to the representationsof $SL\left(2,\mathbb{C}\right),$ that is, to the 2-valued representationof $\mathcal{L},$ known as spinors. We restrict our approach to realisticone-particle systems along with the ``positive energy'' and utilizethe free Dirac waves propagating in the $z-$direction. The Diracwave function $\psi\left(x,t\right)$ is considered as a ``classicalfield'' and the corresponding wave equation is derived from a Lagrangefunction. Using the symmetrized Dirac Lagrange density, it is observedthat variation in spin angular momentum (in the light cone) leadsto causality violation, whereas variation in orbital angular momentumdoes not. Consequently, it is shown that the expectation value of the relative translational velocitycomponent of the spinning free electron exceeds light speed.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.298
GPT teacher head0.426
Teacher spread0.128 · 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 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
Published2015
Admission routes1
Has abstractyes

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