2024/12/19 by Nigar Asadova, Karim Achouri, Kristian Arjas +39 · 1 voice · 1 citation
Engineering · Physics and Astronomy · #Optical Polarization and Ellipsometry #Photonic Crystals and Applications #Random lasers and scattering media
paper · doi:10.1016/j.jqsrt.2024.109310
openalex publication_date 2024/12/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
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. • We suggest storing T-matrices in a well-defined format with clear guidelines. • Advanced tools are provided to generate and store T-matrices with metadata. • A standard format supports T-matrix sharing, enhancing reproducibility and sustainability.