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Record W7028466449

Exact solution of surface-volume-surface electric field integral equation and analysis of its spectral properties

2023· dissertation· en· W7028466449 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsExact solutions in general relativityElectric-field integral equationIntegral equationBasis functionHelmholtz equationMethod of moments (probability theory)Conservative vector fieldImpedance parametersSeries (stratigraphy)Electric field
DOInot available

Abstract

fetched live from OpenAlex

Exact solution of the Surface-Volume-Surface Electric Field Integral Equation (SVS-EFIE) is presented for the problem of radiation in the vicinity of homogeneous dielectric sphere. The solution is obtained via Galerkin Method of Moments (MoM) utilizing rotational and irrotational complete sets of orthogonal vector spherical har- monics as basis and test functions according to the Helmholtz decomposition. In this work, two types of formulations derived from single-source integral equation rep- resentation namely, SVS-EFIE-J and SVS-EFIE-M have been analyzed and solved with the MoM discretization. Excitation in the form of radial and tangential electric dipole situated above the spherical scatterer and the electric field throughout the sphere evaluated via ana- lytic MoM solution of the SVS-EFIE is compared against the exact classical Mie series solution. The two are shown to agree to 12 digits of accuracy upon suffi- cient number of basis/test functions taken in the MoM solution and the Mie series expansion. The exact solution confirms and validates the rigorous nature of the SVS-EFIE formulation. It also reveals the spectral properties of its individual op- erators, their products and their linear combination, as well as the spectrum of the MoM impedance matrix. It is shown that upon choosing basis and test functions in Sobolev space H1/2(S) for SVS-EFIE-J and L2(S) for SVS-EFIE-M, while perform- div ing the testing in the spaces H−1/2(S) and L2(S), respectively, S being the surface of the sphere, the MoM impedance matrix features bounded condition number simi- lar with analogous exact MoM solution of the surface EFIE on perfectly electrically conducting (PEC) sphere and the solution involving MoM of the surface EFIE on perfectly magnetic conductor (PMC). The selection of the proper functional spaces makes proposed SVS-EFIE formulation free of oversampling breakdown. Moreover, both the spectrum of the continuous integral operators of this new magnetic current based SVS-EFIE-M and the spectrum of its MoM impedance matrix are bounded at low frequencies for simply connected smooth dielectric scatterers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.206
Teacher spread0.191 · 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 designObservational
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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