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Record W4385359939 · doi:10.5539/apr.v15n2p1

Applied Physics of Extended (or Gamma) Sine and Cosine Functions

2023· article· en· W4385359939 on OpenAlexvenueno aff
Luis Teia

Bibliographic record

VenueApplied Physics Research · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicScientific Research and Discoveries
Canadian institutionsnot available
Fundersnot available
KeywordsSineTrigonometric functionsPhysicsComputer scienceElectrical engineeringMathematicsEngineeringGeometry

Abstract

fetched live from OpenAlex

Evolution of fundamental mathematical tools (such as trigonometric functions sin(α) and cos(α)) has inherent repercusions on how we solve problems in applied physics. Recently published extended or gamma sine function sin∗(α, γ) and cosine function cos∗(α, γ) — along with their upgraded identity angle sum and subtraction rules sin∗(A ± B, γ) and cos∗(A ± B, γ) — have enabled a new approach on how to tackle practical problems using mathematics (a published example is the energy-coupled mass-spring oscilatory system). The usefullness of a theory is measured by both the insight it generates, and the solution it produces, when applied to physical problems with pertinent applications. Its acceptance amongst peers depends on the availability of such examples, as way-showers of how the theory can be applied in practice, and how useful results can be derived by employing it in similar or related examples/problems. This article has the purpose of providing this bridge between the above theories and its application in some common scientific fields. Several exercises are solved employing these new formulae, and new potential applications are identified that cover various topics in physics such as civil engineering (i.e., measuring distances in bridges), aerospace and aeronautics (i.e., turbine velocity triangles and optimum orbital deployment for a satellite constellation) and telecommunications (i.e., antenna array beamforming and steering, as well as new modulations based on quadrature phase-shift keying). These problems (and solutions) are designed to indicate the usefullness of these new expanded functions, and can become practical classroom exercises applicable to both academic and professional environments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.287
Threshold uncertainty score0.696

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.099
GPT teacher head0.378
Teacher spread0.279 · 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.

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

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