English

Remarkable Predictive Power of the Modified Long Wavelength Approximation

Optics 2021-01-29 v2

Abstract

The modified long-wavelength approximation (MLWA), a next order approximation beyond the Rayleigh limit, has been applied usually only to the dipole =1\ell=1 contribution and for the range of size parameters xx not exceeding x1x\lesssim 1 to estimate far- and near-field electromagnetic properties of plasmonic nanoparticles. Provided that the MLWA functional form for the TT-matrix in a given channel \ell is limited to the ratio TiR/(F+DiR)T\sim iR/(F+D-iR), where FF is the familiar size-independent Fr\"ohlich term and RO(x2+1)R\sim {\cal O}(x^{2\ell+1}) is a radiative reaction term, there is a one-parameter freedom in selecting the dynamic depolarization term DO(x2)D\sim {\cal O}(x^2) which preserves the fundamental feature of the MLWA that its predictions coincide with those of the Mie theory up to the order O(x2){\cal O}(x^2). By exploiting this untapped design freedom, we demonstrate on a number of different metals (Ag, Al, Au, Mg), and using real material data, that the MLWA may surprisingly yield very accurate results for plasmonic spheres both for (i) xx up to 1\gtrsim 1 and beyond, and (ii) higher order multipoles (>1\ell>1), essentially doubling its expected range of validity. Because the MLWA obviates the need of using spherical Bessel and Hankel functions and allows for an intuitive description of (nano)particle properties in terms of a driven damped harmonic oscillator parameters, a significantly improved analysis and understanding of nanoparticle scattering and near-field properties can be achieved.

Keywords

Cite

@article{arxiv.2010.04189,
  title  = {Remarkable Predictive Power of the Modified Long Wavelength Approximation},
  author = {Ilia L. Rasskazov and Vadim I. Zakomirnyi and Anton D. Utyushev and P. Scott Carney and Alexander Moroz},
  journal= {arXiv preprint arXiv:2010.04189},
  year   = {2021}
}

Comments

article: 27 pages, 7 figures; supplimentary materials: 18 pages, 3 figures

R2 v1 2026-06-23T19:11:08.830Z