simulateIRAS 0.0.0

A python package for simulating Infrared Reflection Absorption Spectroscopy(IRAS) measurements

simulateIRAS

Description

A python package for simulating spectra and determining extinction coefficients for polarization- and azimuth-resolved infrared reflection absorption spectroscopy (IRAS) measurements for non-magnetic substrates. The simulations current utilize a three-layer (vacuum-adsorbate-substrate) model derived according to [1] and implemented in [2].




The three-layer (vacuum-adsorbate-substrate) model for light incident along the xz plane of a substrate in the xy plane gives:
$${\frac{\Delta R}{R}} \vert_{(s-pol)} = 8 \ \pi \ \tilde{\nu} \ d \ \sqrt{\epsilon^{s}_{y}} \ cos(\phi) \ Im(\frac{\epsilon^{s}_{y} \ - \ \tilde{\epsilon}^{a}_{y}}{\epsilon^{s}_{y} \ - \ \epsilon^{v}})$$
$${\frac{\Delta R}{R}} \vert_{(p-pol)} = 8 \ \pi \ \tilde{\nu} \ d \ \sqrt{\epsilon^{s}_{y}} \ cos(\phi) \ Im(\frac{\alpha}{\beta})$$ $$\alpha = (\epsilon^{s}_{x} \ - \ \tilde{\epsilon}^{a}_{x}) - (\frac{\epsilon^{s}_{x}}{\tilde{\epsilon}^{a}_{z}} \ - \ \frac{\tilde{\epsilon}^{a}_{x}}{\epsilon^{s}_{z}}) \ {\epsilon^{v}} \ sin^{2}(\phi)$$ $$\beta = (\epsilon^{s}_{x} \ - \ \epsilon^{v}) - (\frac{\epsilon^{s}_{x}}{\tilde{\epsilon}^{v}} \ - \ \frac{\epsilon^{v}}{\epsilon^{s}_{z}}) \ {\epsilon^{v}} \ sin^{2}(\phi)$$
Where:
$\tilde{\nu} =$ wavenumber
$d =$ adsorbate film thickness (approximate for coverage)
$\phi =$ angle of light incidence with respect to the surface normal direction
$\epsilon^{s}_{x} =$ dielectric constant of the substrate layer along the x-axis (in substrate plane along incident light)
$\epsilon^{s}_{y} =$ dielectric constant of the substrate layer along the y-axis (in substrate plane orthogonal to incident light)
$\epsilon^{s}_{z} =$ dielectric constant of the substrate layer along the z-axis (normal to substrate plane)
$\epsilon^{a}_{x} =$ dielectric constant of the adsorbate film along the x-axis (in substrate plane along incident light)
$\epsilon^{a}_{y} =$ dielectric constant of the adsorbate film along the y-axis (in substrate plane orthogonal to incident light)
$\epsilon^{a}_{z} =$ dielectric constant of the adsorbate film along the z-axis (normal to substrate plane)
$\epsilon^{v} =$ dielectric constant of the vacuum which is isotropic

Installation

The python package can be installed via PyPI (pip):

pip install simulateIRAS

We recommend importing in python as iras.

import simulateIRAS as iras

Examples

Example 1: Simulating polarization- and azimuth-resolved IRAS spectra

This example simulates the 4 polarization- and azimuth-resolved IRAS spectra with given k parameters k(x), k(y), k(z) for an adsorbate film on an isotropic, dielectric substrate. The python code, input files and output files are provided in "simulateIRAS/examples/simpleSimulation". The simulation requires the following inputs:

1. incident angle of light relative to the surface normal
2. complex index of refraction of the subtrate layer which here is wavelength independent for an isotropic substrate modelling anatase TiO₂(101) as $n = 2.3 + 0.0i$
3. k parameters of the adsorbate layer (imaginary part of the complex index of refraction) which here is for a water film
4. real index of refraction of the adsorbate layer in the infinite wavenumber simulation limit which here is taken as $Real(n) = 1.37$ for a water film
5. adsorbate film thickness

The Kramers–Kronig relations are used on the adsorbate k parameters (imaginary part of the complex index of refraction) to get the real part of the complex index of refraction for the adsorbate layer. The simulation then applies the three-layer (substrate-adsorbate-vacuum) model to simulate the 4 polarization- and azimuth-resolved IRAS spectra.
The input adsorbate k parameters and 4 polarization- and azimuth-resolved simulated IRAS spectra are plotted below:

Example 2: Determining extinction coefficients from polarization- and azimuth-resolved IRAS spectra

This example regresses the adsorbate k parameters k(x), k(y), k(y) by comparing the 4 polarization- and azimuth-resolved simulated and experimental IRAS spectra for an adsorbate film on isotropic, dielectric substrate. The python code, input files and output files are provided in "simulateIRAS/examples/dataRegression". The simulation requires the following inputs:

1. 4 polarization- and azimuth-resolved IRAS spectra
2. incident angle of light relative to the surface normal
3. complex index of refraction of the subtrate layer which here is wavelength independent for an isotropic substrate modelling anatase TiO₂(101) as $n = 2.3 + 0.0i$
4. real index of refraction of the adsorbate layer in the infinite wavenumber simulation limit which here is taken as $Real(n) = 1.37$ for a water film
5. adsorbate film thickness

The Kramers–Kronig relations are used on the regressed adsorbate k parameters (imaginary part of the complex index of refraction) to get the real part of the complex index of refraction for the adsorbate layer. The simulation then applies the three-layer (substrate-adsorbate-vacuum) model to simulate the 4 polarization- and azimuth-resolved IRAS spectra. First, the simulation regresses the adsorbate k(y) and k(x) parameters to the s(y) and s(x) experimental IRAS spectra. Second, the simulation regresses the adsorbate k(z) parameters to the p(xz) and p(yz) experimental IRAS spectra. Finally, the simulation regresses the adsorbate k(x), k(y) and k(z) parameters to the s(y), p(xz), s(x), p(yz) experimental IRAS spectra.
The regressed adsorbate k parameters and 4 polarization- and azimuth-resolved (solid) simulated and (dots) experimental IRAS spectra are plotted below:

References

[1] Chabal YJ (1987) Vibrational Properties at Semiconductor Surfaces and Interfaces. In: Le Lay G, Derrien J, Boccara N (eds) Semiconductor Interfaces: Formation and Properties. Springer Berlin Heidelberg, Berlin, Heidelberg
[2] O'Connor et al. In preparation.