READ ME File For 'Dataset supporting University of Southampton Doctoral Thesis " Optimization of waveguide enhanced Raman spectroscopy systems"'

Dataset DOI: 10.5258/SOTON/D2771

ReadMe Author: Zhen Liu, University of Southampton 

This dataset supports the thesis entitled: Optimization of waveguide enhanced Raman spectroscopy systems
AWARDED BY: Univeristy of Southampton
DATE OF AWARD: [2023]

DESCRIPTION OF THE DATA

The data includes source code and accumulated data in a compressed file.

This dataset contains:


File structure of the working space
├─slab--->//folder for WGC and waveguide 
│  ├─gratingSim--->//Numerical results for WGC simulation, loaded in gratingScript.py 
│  ├─tmm
│  │  ├─tmm_core_sub.py--->//Implementation of transfer matrix method
│  ├─ grating.py--->//modelling of WGCs
│    	├─grtLossEff(…): --->// Sychugov et al’s model for WGC
│    	├─dipGrtLoss(…):--->// Dipole model for WGC
│    	├─jointLoss(… ):--->// joint loss computation
│    	├─mml_beta(…): --->// propagation constant calculation
│  ├─ gratingScript.py--->//test script and figure plotting script of modelling of WGCs
│  ├─ slabfuncs.py--->//modelling of waveguides
│  	├─ class slabCal(): base class for waveguide modelling, for scattering loss, surface field etc.
│  		├─ lossFunc_intv(..): Schmid et al’s model on scattering loss
│  		├─ lossFunc(…):Payne’s model on scattering loss 
│  		├─ power(…): electric field and surface intensity 
│		├─ class TeCal(slabCal): derived from slabCal, class for TE modes
│		├─ class TmCal(slabCal): derived from slabCal, class for TM modes
│		├─ class AllFig: FOM and SBR calulaiton
│  └─ slabScript.py--->//test script and figure plotting script of modelling of WGCs
└─specProc
    ├─background
│  ├─denoise.py--->//implementation of denoising algorithms
│  	├─nlm1D(…): multilayer nonlocal means implementation
    │  ├─rbfbase.py--->//implementation of radial basis functions interpolation 
    ├─deconv
│  └─wiener.py --->//implementation of blind deconvolution
│  	├─iterCls(…):non-negative constrained blind deconvolution 
│  	├─bdc(…): blind deconvolution
├─spectra
│  └─specReadGUI.py ─>
│			//Graphic user interface (GUI) implementation of the processing
    ├─ procRmScr4.py ─>//Test script of the algorithms with GUI 
└─ specgen.py ─>//Simulated dataset generation and indicators calculation 



Date that the file was created: October, 2023