Details
| Original language | English |
|---|---|
| Article number | 109310 |
| Number of pages | 27 |
| Journal | Journal of Quantitative Spectroscopy and Radiative Transfer |
| Volume | 333 |
| Early online date | 19 Dec 2024 |
| Publication status | Published - Mar 2025 |
Abstract
The transition matrix, frequently abbreviated as T-matrix, contains the complete information in a linear approximation of how a spatially localized object scatters an incident field. The T-matrix is used to study the scattering response of an isolated object and describes the optical response of complex photonic materials made from ensembles of individual objects. T-matrices of certain common structures, potentially, have been repeatedly calculated all over the world again and again. This is not necessary and constitutes a major challenge for various reasons. First, the resources spent on their computation represent an unsustainable financial and ecological burden. Second, with the onset of machine learning, data is the gold of our era, and it should be freely available to everybody to address novel scientific challenges. Finally, the possibility of reproducing simulations could tremendously improve if the considered T-matrices could be shared. To address these challenges, we found it important to agree on a common data format for T-matrices and to enable their collection from different sources and distribution. This document aims to develop the specifications for storing T-matrices and associated metadata. The specifications should allow maximum freedom to accommodate as many use cases as possible without introducing any ambiguity in the stored data. The common format will assist in setting up a public database of T-matrices.
Keywords
- Data format, Data Science, Data storage and management, Multipolar representations, Scattering, T-matrix
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Radiation
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Chemistry(all)
- Spectroscopy
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In: Journal of Quantitative Spectroscopy and Radiative Transfer, Vol. 333, 109310, 03.2025.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - T-matrix representation of optical scattering response
T2 - Suggestion for a data format
AU - Asadova, Nigar
AU - Achouri, Karim
AU - Arjas, Kristian
AU - Auguié, Baptiste
AU - Aydin, Roland
AU - Baron, Alexandre
AU - Beutel, Dominik
AU - Bodermann, Bernd
AU - Boussaoud, Kaoutar
AU - Burger, Sven
AU - Choi, Minseok
AU - Czajkowski, Krzysztof M.
AU - Evlyukhin, Andrey B.
AU - Fazel-Najafabadi, Atefeh
AU - Fernandez-Corbaton, Ivan
AU - Garg, Puneet
AU - Globosits, David
AU - Hohenester, Ulrich
AU - Kim, Hongyoon
AU - Kim, Seokwoo
AU - Lalanne, Philippe
AU - Le Ru, Eric C.
AU - Meyer, Jörg
AU - Mun, Jungho
AU - Pattelli, Lorenzo
AU - Pflug, Lukas
AU - Rockstuhl, Carsten
AU - Rho, Junsuk
AU - Rotter, Stefan
AU - Stout, Brian
AU - Törmä, Päivi
AU - Trigo, Jorge Olmos
AU - Tristram, Frank
AU - Tsitsas, Nikolaos L.
AU - Vallée, Renaud
AU - Vynck, Kevin
AU - Weiss, Thomas
AU - Wiecha, Peter
AU - Wriedt, Thomas
AU - Yannopapas, Vassilios
AU - Yurkin, Maxim A.
AU - Zouros, Grigorios P.
N1 - Publisher Copyright: © 2024 The Author(s)
PY - 2025/3
Y1 - 2025/3
N2 - The transition matrix, frequently abbreviated as T-matrix, contains the complete information in a linear approximation of how a spatially localized object scatters an incident field. The T-matrix is used to study the scattering response of an isolated object and describes the optical response of complex photonic materials made from ensembles of individual objects. T-matrices of certain common structures, potentially, have been repeatedly calculated all over the world again and again. This is not necessary and constitutes a major challenge for various reasons. First, the resources spent on their computation represent an unsustainable financial and ecological burden. Second, with the onset of machine learning, data is the gold of our era, and it should be freely available to everybody to address novel scientific challenges. Finally, the possibility of reproducing simulations could tremendously improve if the considered T-matrices could be shared. To address these challenges, we found it important to agree on a common data format for T-matrices and to enable their collection from different sources and distribution. This document aims to develop the specifications for storing T-matrices and associated metadata. The specifications should allow maximum freedom to accommodate as many use cases as possible without introducing any ambiguity in the stored data. The common format will assist in setting up a public database of T-matrices.
AB - The transition matrix, frequently abbreviated as T-matrix, contains the complete information in a linear approximation of how a spatially localized object scatters an incident field. The T-matrix is used to study the scattering response of an isolated object and describes the optical response of complex photonic materials made from ensembles of individual objects. T-matrices of certain common structures, potentially, have been repeatedly calculated all over the world again and again. This is not necessary and constitutes a major challenge for various reasons. First, the resources spent on their computation represent an unsustainable financial and ecological burden. Second, with the onset of machine learning, data is the gold of our era, and it should be freely available to everybody to address novel scientific challenges. Finally, the possibility of reproducing simulations could tremendously improve if the considered T-matrices could be shared. To address these challenges, we found it important to agree on a common data format for T-matrices and to enable their collection from different sources and distribution. This document aims to develop the specifications for storing T-matrices and associated metadata. The specifications should allow maximum freedom to accommodate as many use cases as possible without introducing any ambiguity in the stored data. The common format will assist in setting up a public database of T-matrices.
KW - Data format
KW - Data Science
KW - Data storage and management
KW - Multipolar representations
KW - Scattering
KW - T-matrix
UR - http://www.scopus.com/inward/record.url?scp=85213056602&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2408.10727
DO - 10.48550/arXiv.2408.10727
M3 - Article
AN - SCOPUS:85213056602
VL - 333
JO - Journal of Quantitative Spectroscopy and Radiative Transfer
JF - Journal of Quantitative Spectroscopy and Radiative Transfer
SN - 0022-4073
M1 - 109310
ER -