MétaCan
Menu
Back to cohort
Record W4388108741 · doi:10.5539/apr.v15n2p147

Single Parameter Matching of Ordinary and Novel (Dark Matter) Particles From Their Physical Equalities to Their Physical Differences

2023· article· en· W4388108741 on OpenAlexvenueno aff
Josip Šoln

Bibliographic record

VenueApplied Physics Research · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsnot available
Fundersnot available
KeywordsDark matterPhysicsLimitingParticle (ecology)Particle physics

Abstract

fetched live from OpenAlex

Novel (dark matter) particles, while known to exist, refuse to show up explicitly. Theoretical approaches within the Standard Model (SM) as for example, looking for the dark photon with Feynman diagrams, in the process γγ −→ e+e , is still inconclusive (Xu, I. et al., 2022). However, empirical-like methods can give the proof about the existence of dark matter, see for instance (Clowe, D. et al., 2006). Hence it is reasonable trying to understand as to why ordinary and novel (dm) particles differ so much from each other. This we wish to do with solutions of the bicubic equation for particle limiting velocities ( ˇ Soln, J., 2014-2022). Once we have the solutions for novel and ordinary particle limiting velocities from ( ˇ Soln, J. 2021.1.2, 2022), we first establish, with the help of evolutionary congruent parameters, ordinary z1 and novel z2, satisfying z1 ⪯ 1and z2 ⪰ 1,the smooth matching point of equal values for ordinary and novel particles at z1 = z2 = 1. At this point the limiting velocities and other physical quantities of ordinary and novel particles have equal values, which can be also characterized by z1× z2 = 1; this, consistent with Discriminants of ordinary and novel limiting velocity solutions, is extended everywhere, so that z2 = 1/ z1. the novel particle limiting velocity solutions reveal congruent angle α, contained now in z1 and z2, and as such can also serve as another evolutionary parameter. The smooth matching point is now α = π/2. If physically equivalent ordinary and novel particles move away from this point to α ̸= π/2, they will physically be different from each other. In other words, the novel particle is in z2 ⪰ 1 territory, and the ordinary particle is in z1 ⪯ 1 territory and direct interactions are likely impossible. With this formalism, we investigate physical differences between ordinary and novel particles, when moving away from α = π/2. In tis article, we largely are dealing with high energy leptons together with relevant photons with congruent parameter ranges of 0 ≺ α ⪯ π/2, 0 ≺ z1 ⪯ 1,∞≻ z2 ⪰ 1. In fact due to a large interest in photons, here, within this formalism, we evaluate very precisely limiting velocities for the ordinary and novel photons. From these evaluations, we deduce numerically that congruent angles of novel and ordinary photons are related through the quantum jump α(γN) = 2α(γ), which is verified also for other particles. Hence, the general quantum jump between congruent angles of limiting velocities associated with ordinary and novel particles is α(xN) = α(x), where x = γ, e, ν, etc. The congruent angle quantum jump connects every ordinary particle, such as electron e, or neutrino ν,respectively, to novel electron eN and novel neutrino νN. This, definitively is a rather simple way to identify novel particles. All that one needs is to find them.

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)0.005
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.097
GPT teacher head0.352
Teacher spread0.256 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueApplied Physics ResearchSame topicAdvanced Thermodynamics and Statistical MechanicsFrench-language works237,207