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The Invariant Imbedding T Matrix Approach

Doicu, Adrian and Wriedt, Thomas (2018) The Invariant Imbedding T Matrix Approach. In: The Generalized Multipole Technique for Light Scattering Springer Series on Atomic, Optical, and Plasma Physics, 99. Springer. pp. 35-47. ISBN 978-3-319-74889-4. ISSN 1615-5653

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Official URL: https://www.springer.com/de/book/9783319748894

Abstract

The theoretical foundation of the invariant imbeeding T-matrix method is revised. We present a consistent analysis of the method, show the connection with the superposition T-matrix method, and derive new recurrence relations for T-matrix calculations. The first recurrence is a numerical method for integrating the Riccati equations by using the Pade approximation to the matrix exponential, while the second one relies on an integral-matrix approach.

Item URL in elib:https://elib.dlr.de/125114/
Document Type:Book Section
Title:The Invariant Imbedding T Matrix Approach
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Doicu, AdrianAdrian.Doicu (at) dlr.deUNSPECIFIED
Wriedt, ThomasUniversity of BremenUNSPECIFIED
Date:2018
Journal or Publication Title:The Generalized Multipole Technique for Light Scattering
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Volume:99
DOI :10.1007/978-3-319-74890-0
Page Range:pp. 35-47
Editors:
EditorsEmail
Wriedt, ThomasUNSPECIFIED
Eremin, YuriUNSPECIFIED
Publisher:Springer
Series Name:Springer Series on Atomic, Optical, and Plasma Physics
ISSN:1615-5653
ISBN:978-3-319-74889-4
Status:Published
Keywords:electromagnetic scattering, T-matrix method, invariant imbeeding medthod
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:20 Dec 2018 16:22
Last Modified:31 Jul 2019 20:23

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