A parallel Monte Carlo method for solving electromagnetic scattering in clusters of dielectric objects
Autor: | Hector Lopez-Menchon, Eduard Ubeda, Alexander Heldring, Juan M. Rius |
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Přispěvatelé: | Universitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions, Universitat Politècnica de Catalunya. ANTENNALAB - Grup d'Antenes i Sistemes Radio |
Jazyk: | angličtina |
Rok vydání: | 2022 |
Předmět: |
Parallel computing
Numerical Analysis Physics and Astronomy (miscellaneous) Applied Mathematics Ones electromagnètiques--Dispersió Monte Carlo methods Ordinadors paral·lels Parallel computers Born series Computer Science Applications Conformal mapping Computational Mathematics Modeling and Simulation Convergence acceleration Electromagnetic waves--Scattering Electromagnetic scattering Enginyeria de la telecomunicació::Processament del senyal::Processament del senyal en les telecomunicacions [Àrees temàtiques de la UPC] |
Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
Popis: | In this work, we develop a novel Monte Carlo method for solving the electromagnetic scattering problem for clusters of photonic particles. The method is based on a formal solution of the scattering problem as a modified Born series whose coefficients are found by a conformal transformation. The terms of the Born series are approximated by sampling random elements of its matrix representation, computed by the Method of Moments. Unlike other techniques like the Fast Multiple Method, this Monte Carlo method does not require communication between processors, which makes it suitable for large parallel executions. This work was partly funded by the Ministerio de Ciencia e Innovacion (MICINN) under projects PID2019- 107885GB-C31 / AEI / 10.13039/501100011033, PID2020-113832RB-C21 / AEI / 10.13039/501100011033 and TEC2017-84817-C2-2-R / AEI / 10.13039/501100011033 and the Unidad de Excelencia Maria de Maeztu MDM- 2016-0600/AEI/10.13039/501100011033, which is financed by the Agencia Estatal de Investigación, Spain, and Catalan Research Group 2017 SGR 219 and grant 2021 FI B2 00096. |
Databáze: | OpenAIRE |
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