# Data and plotting code for "Optical constants of several multilayer transition metal dichalcogenides measured by spectroscopic ellipsometry in the 300-1700 nm range: high-index, anisotropy, and hyperbolicity" by Battulga Munkhbat, Piotr Wróbel, Tomasz J. Antosiewicz, and Timur O. Shegai, ACS Photonics (2022); https://doi.org/10.1021/acsphotonics.2c00433 ## Contents * : directories with raw and derived data for all 10 TMDs * f3_dataset_*_nm_ex1_ex2_ey1_ey2_ez1_ez2.txt: obtained permittivities * plot_*_v1.m: Matlab scripts for plotting data ## Description of the data The raw and derived data stored in directories contain the following files: * /-.SEsnap: binary data file with collected data, CompleteEASE format * /--E*.mat: ascii text file with permittivity data separated into individual components as exported from CompleteEASE software * /--full.mat: ascii text file with fitted model parameters as exported from CompleteEASE software * /-data/*.txt: selected raw data and fits for all considered samples (Mueller Matrix or Delta/Psi/depolarization). The structure of the data file names is as follows: -s-.txt for general ellipsometry (delta, psi, depolarization) or -s-o-mm.txt for Mueller Matrix measurements. The following two scripts can be used to plot the raw measured data (solig lines) along with corresponding fits (black dotted lines): * plot_mm_v1.m: Matlab script for plotting Mueller Matrix data for WTe2 and ReS2 * plot_psi_delta_depol_v1.m: Matlab script for plotting psi, delta, and depolarization data for other TMDs The diagonal permittivity tensor data are saved in the f3_dataset_*_nm_ex1_ex2_ey1_ey2_ez1_ez2.txt files which can be plotted using the plot_permittivity_v1.m Matlab script. The format of this file is as follows: wavelength in nanometers; real part of epsilon_xx; imaginary part of epsilon_xx; real part of epsilon_yy; imaginary part of epsilon_yy; real part of epsilon_zz; imaginary part of epsilon_zz;

We acknowledge support from the Polish National Science Center for support via the project 2019/34/E/ST3/00359, Swedish Research Council (under VR Milj\:o project, grant No: 2016-06059), the Knut and Alice Wallenberg Foundation (grant No: 2019.0140), 2D-TECH VINNOVA competence center (Ref. 2019-00068), and the European Research Council (ERC-CoG ``Unity'', grant No: 865230).