Dataset supporting the publication 'Far-field optical classification of subwavelength objects'

Abstract

This dataset supports the publication: "Far-field optical classification of subwavelength objects" by S. Kurdiumov, N. Papasimakis, J.-Y. Ou and N. I. Zheludev in Optics Express 2025. ========= CONTENTS: ========= The dataset contains a zip archive, comprising two folders: "Main_text" and "Supplementary". =========== "Main_Text" =========== The folder "Main_text" contains 4 folders with data used for 4 figures in the main text of the paper: Fig1, Fig2, Fig3, Fig4. ++++++++++++ Folder Fig1: contains raw data used for plotting scattering patterns presented in Fig 1 (b-f), in particular: --> Fig_1b_data.mat - normalised scattering pattern, presented in Fig. 1b --> Fig_1c_data.mat - normalised scattering pattern, presented in Fig. 1c --> Fig_1d_data.mat - normalised scattering pattern, presented in Fig. 1c --> Fig_1e_data.mat - difference between data from Fig. 1c and Fig. 1b --> Fig_1f_data.mat - difference between data from Fig. 1d and Fig. 1b ++++++++++++ Folder Fig2: Contains data used for plotting Fig. 2, in particular: --> Fig_2a_data.csv - matrix 8x8 presented in Fig. 2a --> Fig_2b_data.csv - 2 columns 8x1 presented in Fig. 2b: top row of Fig. 2b corresponds to the 1st column, bottom row of Fig. 2b corresponds to 2nd column --> Fig_2c_data.csv - 4x2 array with the data presented in Fig. 2c: the first column corresponds to the x-axis, the 2nd column - to the y-axis --> Fig_2d_data.csv - 5x2 array with the data presented in Fig. 2d: the first column corresponds to the x-axis, the 2nd column - to the y-axis ++++++++++++ Folder Fig3: Contains data used for plotting Fig. 3, in particular: --> Fig_3a_data.csv - matrix 8x8 presented in Fig. 3a --> Fig_3b_data.csv - 6x2 array with the data presented in Fig. 2d: the first column corresponds to the x-axis, the 2nd column - to the y-axis ++++++++++++ Folder Fig4: Contains data used for plotting Fig. 4, in particular: --> Fig_4b_data_triangle.mat - experimental image corresponding to the inset with triangle --> Fig_4b_data_circle.mat - experimental image corresponding to the inset with circle --> Fig_4b_data_Y.mat - experimental image corresponding to the inset with Y --> Fig_4b_data_unseen.mat - experimental image corresponding to the one on the left to the AI artistic symbol --> Fig_4c_data.csv - matrix 5x5 presented in Fig. 4c --> Fig_4d_data.csv - matrix 5x5 presented in Fig. 4d =============== "Supplementary" =============== The folder "Supplementary" contains 7 folders with data used for 4 figures in the main text of the paper: Fig_S2, Fig_S3, Fig_S5, Fig_S6, Fig_S9, Fig_S11, Fig_S12. ++++++++++++ Folder Fig_S2: contains raw data used for plotting scattering patterns presented in Fig S2 (a-h), in particular: --> Fig_S2a_data.mat - normalised scattering pattern, presented in Fig. S2a --> Fig_S2b_data.mat - normalised scattering pattern, presented in Fig. S2b --> Fig_S2c_data.mat - normalised scattering pattern, presented in Fig. S2c --> Fig_S2d_data.mat - normalised scattering pattern, presented in Fig. S2d --> Fig_S2e_data.mat - normalised scattering pattern, presented in Fig. S2e --> Fig_S2f_data.mat - normalised scattering pattern, presented in Fig. S2f --> Fig_S2g_data.mat - normalised scattering pattern, presented in Fig. S2g --> Fig_S2h_data.mat - normalised scattering pattern, presented in Fig. S2h ++++++++++++ Folder Fig_S3: contains data used for plotting scattering patterns presented in Fig S3 (a-h), in particular: --> Fig_S3a_data.mat - difference between data from Fig. S2a and Fig. S2a --> Fig_S3b_data.mat - difference between data from Fig. S2b and Fig. S2a --> Fig_S3c_data.mat - difference between data from Fig. S2c and Fig. S2a --> Fig_S3d_data.mat - difference between data from Fig. S2d and Fig. S2a --> Fig_S3e_data.mat - difference between data from Fig. S2e and Fig. S2a --> Fig_S3f_data.mat - difference between data from Fig. S2f and Fig. S2a --> Fig_S3g_data.mat - difference between data from Fig. S2g and Fig. S2a --> Fig_S3h_data.mat - difference between data from Fig. S2h and Fig. S2a ++++++++++++ Folder Fig_S5: Contains data used for plotting Fig. S5, in particular: --> Fig_S5_data.csv - 7x4 array with the data presented in Fig. S5: the first column corresponds to the x-axis, the 2nd column - to the y-axis of the blue graph, the 3rd column - to the y-axis of the red graph, the 4th column - to the y-axis of the black graph ++++++++++++ Folder Fig_S6: Contains data used for plotting Fig. S6, in particular: --> Fig_S6_data.csv - 6x2 array with the data presented in Fig. S6: the first column corresponds to the x-axis, the 2nd column - to the y-axis ++++++++++++ Folder Fig_S9: Contains data used for plotting Fig. S9, in particular: --> Fig_S9a_data.csv - matrix 5x5 presented in Fig. S9a --> Fig_S9b_data.csv - matrix 5x5 presented in Fig. S9b --> Fig_S9c_data.csv - nx3 array with the data presented in Fig. S9c: the first column corresponds to the x-axis, the 2nd column - to the y-axis, the 3rd column - to the color ++++++++++++ Folder Fig_S12: Contains data used for plotting Fig. S9, in particular: --> Fig_S12a_data.csv - matrix 5x5 presented in Fig. S12a --> Fig_S12b_data.csv - matrix 5x5 presented in Fig. S12b ++++++++++++ Folder Fig_S13: Contains data used for plotting Fig. S9, in particular: --> Fig_S13a_data.csv - matrix 5x5 presented in Fig. S13a --> Fig_S13b_data.csv - matrix 5x5 presented in Fig. S13b --> Fig_S13c_data.csv - matrix 5x5 presented in Fig. S13c --> Fig_S13d_data.csv - matrix 5x5 presented in Fig. S13d =========================== METHODOLOGICAL INFORMATION: =========================== ++++++++++ Main text: Data for Fig. 1 was generated from numerical simulations based on Angular Spectrum Propagation method Data for Figs. 2, 3 was generated from the neural network predictions Data for Fig. 4b was recorded in an optical experiment; data from Fig 4(c, d) was generated from the neural network predictions ++++++++++++++ Supplementary: Data for Fig. S2 and Fig. S3 was generated from numerical simulations based on Angular Spectrum Propagation method Data for Fig. S5, Fig. S6, Fig. S9, Fig. S11 and Fig.S12 was generated from the neural network predictions ========================================================================================================================================================= For enquiries contact: Sergei Kurdiumov se.kurdjumov@gmail.com

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