Shifted equivalent sources and FFT acceleration for periodic scattering problems, including Wood anomalies
- Creators
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Bruno, Oscar P.
- Maas, Martín
Abstract
This paper introduces a fast algorithm, applicable throughout the electromagnetic spectrum, for the numerical solution of problems of scattering by periodic surfaces in two-dimensional space. The proposed algorithm remains highly accurate and efficient for challenging configurations including randomly rough surfaces, deep corrugations, large periods, near grazing incidences, and, importantly, Wood-anomaly resonant frequencies. The proposed approach is based on use of certain "shifted equivalent sources" which enable FFT acceleration of a Wood-anomaly-capable quasi-periodic Green function introduced recently (Bruno and Delourme (2014) [4]). The Green-function strategy additionally incorporates an exponentially convergent shifted version of the classical spectral series for the Green function. While the computing-cost asymptotics depend on the asymptotic configuration assumed, the computing costs rise at most linearly with the size of the problem for a number of important rough-surface cases we consider. In practice, single-core runs in computing times ranging from a fraction of a second to a few seconds suffice for the proposed algorithm to produce highly-accurate solutions in some of the most challenging contexts arising in applications.
Additional Information
© 2018 Elsevier. Received 23 May 2018, Revised 26 October 2018, Accepted 27 October 2018, Available online 1 November 2018. OB gratefully acknowledges support by NSF and AFOSR and DARPA through contracts DMS-1411876 and FA9550-15-1-0043 and HR00111720035, and the NSSEFF Vannevar Bush Fellowship under contract number N00014-16-1-2808. MM work was supported from a PhD fellowship of CONICET and the Bec.AR-Fullbright Argentine Presidential Fellowship in Science and Technology.Attached Files
Accepted Version - Shifted_equivalent_sources_and_FFT_acceleration_for_periodic_scattering_problems,_including_Wood_anomalies.pdf
Submitted - 1707.04950
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Additional details
- Eprint ID
- 90584
- Resolver ID
- CaltechAUTHORS:20181101-141916128
- NSF
- DMS-1411876
- Air Force Office of Scientific Research (AFOSR)
- FA9550-15-1-0043
- Defense Advanced Research Projects Agency (DARPA)
- HR0011-17-2-0035
- National Security Science and Engineering Faculty Fellowship
- N00014-16-1-2808
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET)
- Comisión Fulbright Argentina
- Created
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2018-11-01Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field