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An overview of methods for deriving recurrence relations for T-matrix calculations

Doicu, Adrian and Wriedt, Thomas and Khebbache, Naima (2019) An overview of methods for deriving recurrence relations for T-matrix calculations. Journal of Quantitative Spectroscopy & Radiative Transfer, 224, pp. 289-302. Elsevier. DOI: 10.1016/j.jqsrt.2018.11.029 ISSN 0022-4073

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Official URL: https://www.sciencedirect.com/science/article/pii/S0022407318304898

Abstract

In this paper, we present a consistent analysis of the methods dealing with the derivation of recurrence relations for calculation of the T-matrix. Central and forward recurrence relations are obtained in the framework of the invariant embedding T-matrix method, the matrix Riccati equation method, and the superposition T-matrix method. The accuracies and efficiencies of the central and forward recurrence schemes are analyzed, and some implementation issues related to the improvement of the numerical accuracy and to the problem of overcoming of overflow errors are discussed.

Item URL in elib:https://elib.dlr.de/125121/
Document Type:Article
Title:An overview of methods for deriving recurrence relations for T-matrix calculations
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Wriedt, ThomasUniversity of BremenUNSPECIFIED
Khebbache, NaimaUniversity of BremenUNSPECIFIED
Date:February 2019
Journal or Publication Title:Journal of Quantitative Spectroscopy & Radiative Transfer
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:224
DOI :10.1016/j.jqsrt.2018.11.029
Page Range:pp. 289-302
Publisher:Elsevier
ISSN:0022-4073
Status:Published
Keywords:electromagnetic scattering, T-matrix method
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Atmospheric Processors
Deposited By: Doicu, Adrian
Deposited On:17 Dec 2018 11:21
Last Modified:01 Jan 2020 03:00

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