592 44 10288 2 30552 document 10288 Plotting_scripts.zip application/zip 4f13fd037e3732952e727f646555793e MD5 20602 2019-02-13 10:06:07 https://researchdata.bath.ac.uk/592/1/Plotting_scripts.zip 592 1 1 application/zip other en public cc_mit

Plotting_scripts.zip

code 10289 2 30554 document 10289 Data.zip application/zip 19ad033300019c87eb5123c96edd5eb5 MD5 250995374 2019-02-13 10:06:21 https://researchdata.bath.ac.uk/592/2/Data.zip 592 2 2 application/zip other en public cc_by

Data.zip

data archive 6528 disk0/00/00/05/92 2019-05-23 14:46:19 2024-07-18 12:31:48 2019-05-23 14:46:19 data_collection show Kuppe Christian C.Kuppe@bath.ac.uk 0000-0002-7562-8789 University of Bath TRUE Gordeev Sergey S.Gordeev@bath.ac.uk University of Bath FALSE Williams Calum 0000-0002-6432-6515 University of Cambridge FALSE Zheng Xuezhi Xuezhi.Zheng@esat.kuleuven.be 0000-0002-5301-2908 KU Leuven; SAT-TELEMIC; Malaviya National Institute of Technology Jaipur FALSE Vandenbosch Guy 0000-0002-5878-3285 KU Leuven; SAT-TELEMIC; Malaviya National Institute of Technology Jaipur FALSE Supervisor Valev Ventsislav V.K.Valev@bath.ac.uk 0000-0001-9951-1836 University of Bath Other Collins Joel J.Collins@bath.ac.uk 0000-0002-9382-7511 University of Bath BS0040 BS0050 HH0020 HH0030 HH0040 dept_physics This dataset contains data on gold plasmonic nanogratings used for diffraction circular intensity difference spectroscopy. The data was collected to first characterise the various nanogratings studied using atomic force microscopy - the nanogratings show a lattice constant of 1.2 (square-ring and S-shaped) and 2.4 micrometres (L-shaped) respectively. All nanogratings are about 35 nm thick and have an arm width of 200 nm. Second, circular intensity difference spectroscopy was used to study the chiroptical response of those nanogratings. Strong chiroptical responses were measured from the S- and L-shaped nanogratings. The experimental results were supported by rigorous numerical simulations carried out in Lumerical as well as a Fourier modal analysis. The users who would like to find out more in depth can then refer to the Documentation section 2019-05-10 University of Bath public RightsHolder University of Bath Royal Society https://doi.org/10.13039/501100000288 CHG\R1\170067 Identifying the Chemical Composition of Air Pollution Particles Royal Society https://doi.org/10.13039/501100000288 PEF1\170015 I could be a scientist Royal Society https://doi.org/10.13039/501100000288 RGF\EA\180228 Fellowship - Chirality in the 21st century: enantiomorphing chiral plasmonic meta/nano-materials Science and Technology Facilities Council https://doi.org/10.13039/501100000271 ST/R005842/1 Look into my eyes Engineering and Physical Sciences Research Council https://doi.org/10.13039/501100000266 EP/L015544/1 EPSRC Centre for Doctoral Training in Condensed Matter Physics Cancer Research UK https://doi.org/10.13039/501100000289 C55962/A24669 Pioneer Award cent_nan cent_photon cent_cmpcdt The atomic force microscopy micrograph in Figure 1d was acquired with a Multimode Scanning Probe Microscope (VEECO) operating in contact mode. The data was exported as a text file. The experimental setup consisted of a Fianium SC400-2 2 W laser source with a 1064 nm output wavelength and 20 MHz repetition rate and a 5 ps pulse spliced to an in-house fabricated supercontinuum fibre providing a spectrum between 450 and 1050 nm. Two achromatic linear Glan-Laser polarizers were used to control the power output and a remotely controlled quarter-waveplate (QWP) to selectively produce LCP and RCP light. The sample was mounted on an alignment disk, which in turn was mounted on x-y-translation stage placed in the centre of an optical breadboard. The breadboard was mounted on a remotely controlled rotation stage. The diffracted light from the sample was collected via a 200 µm core diameter multimode fibre (0.22 NA) mounted on a fibre launch system mounted on the breadboard at a distance of 15 cm and measured with an Ocean Optics QE Pro spectrometer. The light coupling into the fibre was optimized with a 20x microscope objective with 0.4 NA and 9 mm focal length. The automated setup used a step size of 0.5 °, the spectrometer used an integration time of 30 ms and was averaged over 50 scans. The data was saved as csv files, which were processed using the procedure described in "data processing". The full-wave simulations were conducted by an FDTD solver, Lumerical. In the simulations, the incident LCP and RCP plane waves are generated by superposing two 90 degrees phased plane waves which are linearly polarized along the x- and y-directions. All layers in the sample have been taken into account. In detail, the Au layer is modelled by the material data from Johnson and Christy, the Cr layer and the Si layer is modelled by the material data from Palik and the reflective index of the SiO2 layer is assumed to be 1.5. It should be noted that instead of using the nominal thickness, the Au layer is assumed to be 50 nm. Two simulation regions are used. On the one hand, the FDTD simulation region is assumed to have periodic boundary conditions along the x- and y-directions and perfect matching layers (48 layers) along the z-direction. On the other hand, a mesh refinement region including both the Au and Cr layers is imposed to the S-shape structures, the L-shape structures, and the square-rings. The mesh steps along x, y and z directions are 10 nm, 10 nm and 1.5 nm, respectively. The data was saved as .mat files and the data processing of the data is described in the "data processing". The data processing scripts have been included in the "plotting_scripts" folder. Move the individual scripts into the folders containing the data. The scripts are for the processing and plotting. For the experimental scripts to work, create a folder called "data" and move the individual data folders into it. Change the name of the global variable "MY_FOLDER" (line 31) to the target data folder and adjust the "LATTICE_CONSTANT" (line 23) - 2.4E-6 for L-shaped and 1.2E-6 for square-ring and S-shaped. The script was written with Python 3.6. At the end of the script, various plotting options can be chosen (by commenting out / removing commenting of the required code-blocks) The AFM data was plotted with Python 3.6 in a Jupyternotebook. The Simulation data was plotted in MATLAB2016b. en 1 10.15125/BATH-00592 https://doi.org/10.1039/C9NH00067D pub open