model-free extraction of refractive index from measured optical data
DESCRIPTION
Model-free extraction of refractive index from measured optical data A Tool for Ref ractive In Dex Simulation. Martina Schmid, Guanchao Yin, Phillip Manley Helmholtz-Zentrum Berlin, Nanooptical concepts for photovoltaics. Motivation. Thin film optics - PowerPoint PPT PresentationTRANSCRIPT
Model-free extraction of refractive index from measured optical data
A Tool for Refractive InDex Simulation
Martina Schmid, Guanchao Yin, Phillip Manley
Helmholtz-Zentrum Berlin, Nanooptical concepts for
photovoltaics
Motivation
Thin film optics
having to deal with multiple reflections
and requiring refractive indices
often only rely on optical
measurements.
Contents
β’ Basic Principles
β’ Transfer Matrix Method
β’ Multilayer Stack
β’ Comparison to Experiment
β’ Advanced Features
β’ Surface Roughness
β’ Inhomogeneous Layers
β’ Effective Medium
β’ User Interface
β’ Outlook
3
Basic Principles β Transfer Matrix Method
Superposition of electric fieldone wave with positive direction(E+)
one wave with negative direction(E-)
Propagating through an interface:
=-=, = , =;
are, respectively, the complex amplitude reflection and transmission Fresnel coefficients; is the complex refractive index of the layer
=
Propagating within a layer:
= Ξ¦=Where d is the thickness of medium, Ο is the frequency of the propagating light and c is the speed of light
Propagation through mediums at normal incidence 4
Basic Principles: Transfer Matrix Method Advanced Features User Interface
Oblique incidence
π±ππ±π
π± π
P polarization:
π π , π=π π πππ π±πβπ ππππ π± π
π ππππ π±π+π ππππ π± π
π‘π , π=2π ππππ π±π
π ππππ π±π+π ππππ π± π
S polarization:
π π , π=π ππππ π± πβπ π πππ π± π
π ππππ π±π+π ππππ π± π
π‘π , π=2π ππππ π±π
π ππππ π± π+π ππππ π± π
Medium i
Medium j
At interface Within the layer
Ξ¦=
5
Basic Principles: Transfer Matrix Method Advanced Features User Interface
Fresnel coefficiencts for oblique incidence
Coherent Layers β Interference Effects
6
<< 1
πΏ=( 2ππ )2ππcosπ
nΞΈ
Validity condition:
Phase difference between transmission orders:
When there will be constructive interference in T
Basic Principles: Multilayer Stack Advanced Features User Interface
Incoherent Layers & Substrate Layers
7
>> 1
Phase relationships between interior reflections is destroyed β therefore there is no interference
To removed coherency, calculate the Intensity instead of the Electric Field
=
phase information
Basic Principles: Multilayer Stack Advanced Features User Interface
Multilayer Stack
8
Coherent Stackβ’ Includes interferenceβ’ Typical thickness 0 ~ 2000 nm
Incoherent Layerβ’ Interference βturned offββ’ Typical thickness 1 mm
β’ 9 Total layers implemented in RefDex
β’ Combine coherent and incoherent layers in any order
β’ For R,T calculation, d, n and k must be known for all layers
Basic Principles: Multilayer Stack Advanced Features User Interface
Input Spectrum β R and T
Absorbing Region
β’ Reflection loses coherency peaks
β’ Transmission drops to zero due to absorption
Transparent Region
β’ R and T both show coherency peaks
β’ R does not drop to 0 due to reflection from glass substrate
Basic Principles: Comparison to Experiment Advanced Features User Interface
9
Comparison to Experiment
An example:
thin filmon substrate
10
Basic Principles: Comparison to Experiment Advanced Features User Interface
Problem of Uniqueness
Choose the n, k values which minimise the difference between our model and experiment
11
πΉ [π β² ,π β² ]=πΉ [πβ² β² ,π β² β² ]=0
Adding these equations together we get a function which takes n and k as input
Problems arise because two different n,k input pairs can both equal zero!
One Physically Meaningful Solution
Many Unphysical Solutions
|π πππ (π ( Ξ» ) ,π ( Ξ» ) )βπ ππ₯π ( Ξ» )|=0
|π πππ (π ( Ξ» ) ,π ( Ξ» ) )βπ ππ₯π ( Ξ» )|=0
Basic Principles: Comparison to Experiment Advanced Features User Interface
Problem of Uniqueness β Physical Picture
12
Results need to be interpreted β More on this Later!
Physically meaningful solution
Spurius solution branches
Basic Principles: Comparison to Experiment Advanced Features User Interface
Determination of optical constants in multiple-layer configuration
Take the configuration of CIGSe/TCO/glass substrate as an example:
G. Yin et al., Influence of substrate and its temperature on the optical constants of CuIn1-xGaxSe2 thin films, accepted for Journal of Physics D: Applied Physics 13
Basic Principles: Comparison to Experiment Advanced Features User Interface
Surface Roughness β Effect on R and T
14
Absorbing Region
β’ Reflection Strongly Reduced
β’ Transmission Slightly Reduced
Transparent Region
β’ R and T reduced prefferentially at coherency peaks
Basic Principles Advanced Features: Surface Roughness User Interface
Modified Transfer Matrix Method β Scalar Scattering Theory
Rough InterfaceScalar Scattering Theory
π π , πβ² =π π , πππ₯π [β2(2ππ /π)2ππ2 ]
π π ,πβ² =π π ,πππ₯π [β2(2ππ /π)2π π
2 ]
π‘ π ,πβ² =π‘ π , πππ₯π [β( 2πππ )
2
(π πβππ)2/2 ]
π‘π , πβ² =π‘ π , πππ₯π[β( 2πππ )
2
(ππβπ π)2/2 ]
Medium a
Medium b
Modified
Fresnel coefficients
β’ is the interface roughnessβ’ Gives us the loss of specular beam
intensity due to interface roughness
15
Basic Principles Advanced Features: Surface Roughness User Interface
Modified Transfer Matrix Method - Examples
Determination of optical constants
16
G. Yin et al.,The effect of surface roughness on the determination of optical constants of CuInSe2 and CuGaSe2 thin films, J. Appl. Phys., 133, 213510 (2013)
Basic Principles Advanced Features: Surface Roughness User Interface
Ο = 9nm Ο = 20nm
Inhomogeneous Layers β Effect on R and T
17
Absorbing Region
β’ Small reduction in R and T
Transparent Region
β’ Coherency reduced for both R and T
β’ Transmission strongly reduced
Basic Principles Advanced Features: Inhomogeneous Layers User Interface
Inhomogeneous Layers β Coherent / Incoherent Decomposition
18
a) 2D slice through the 3D inhomogeneous filmb) Overlay a rectangular gridc) The resulting discretised representation of the filmd) Layers containing voids can be modelled incoherently allowing the use of
average layer thicknesses e) This reduces the number of transfer matrix calculations to 4
a)
b)
c)
d)
e)
Basic Principles Advanced Features: Inhomogeneous Layers User Interface
Inhomogeneous Layers β Coherent / Incoherent Decomposition
19
Standard Calculation
Replace propagation operator inside inhomogeneous layer with:
, π (π )={π (0 ) ,π=ππ£ππ ,πβ 0Β¬π (0 ) ,π=πππ
or
(Same equations for T not shown here)
β’ Void scattering as from a rough surface. (Slide 13) β’ Requires statistical knowledge of 3D void distribution as input
Basic Principles Advanced Features: Inhomogeneous Layers User Interface
Inhomogeneous Layers β Modelling Distribution of Voids
20
β’ Measurement of real 2D surface used to generate 3D distribution
β’ From 3D distribution we obtain inputs for the RefDex calculation
Basic Principles Advanced Features: Inhomogeneous Layers User Interface
Inhomogeneous Layers β Recalculating n and k
21
n k data from an inhomogeneous CISe2 film is in good agreement to the n k data from a homogeneous film using the inhomogeneous layer feature.
P. Manley et al.,A method for calculating the complex refractive index of inhomogeneous thin films, (submitted)
Basic Principles Advanced Features: Inhomogeneous Layers User Interface
Effective Medium Approximation - Background
22
Volume Fraction Approximationβ’ Direct mixing of the two materials via
the volume fractionβ’ Does not consider polarisation
effects arrising due to mixing
( ππππβπhππππ +2πh )=π€π( ππβπhππ+2 πh )Maxwell Garnett Approximationβ’ Based on elementary electrostaticsβ’ Assumes spatially separated
polarisable particles
Bruggeman Approximationβ’ Assumes two kinds of spherical
particles randomly arranged.β’ Spatial separation between
particles should be small (i.e. is large)
π€h ( πhβπππππh+2 ππππ )=βπ€π( ππβππππππ+2ππππ )
Basic Principles Advanced Features: Effective Medium User Interface
ELLIPSOMETRY MODE
ππ
π π=πππ§πΏ ππβ
23
ππ
π π=πππ§πΏ ππβ
β’ Ellipsometric parameters Ξ¨ and Ξ simulated by RefDexβ’ Useful for highly absorbing substratesβ’ Currently incompatable with roughness and
inhomogeneity advanced features
n k Data from Ellipsometry β Example of Mo film
24
Main Interface
25
Basic Principles Advanced Features User Interface
Advanced options
26
Basic Principles Advanced Features User Interface
Data Extraction Process
27
β’ Interactive fitting process
β’ Place nodes which are automatically connected by a smooth function
β’ User selects physically meaningful solutions from multiply degenerate solution space
Basic Principles Advanced Features User Interface
Summary and Outlook
ππ
π π=πππ§πΏ ππβ
28
RefDexβ’ calculates T, R (n,k) for a multilayer stack
β extracts n,k from T, R
β’ considers surface roughness
β’ applies to inhomogeneous layers
β’ has also basic features for ellipsometry
. . .
β’ is freely available from
http://
www.helmholtz-berlin.de/forschung/oe/enma/nanooptix/index_en.html
Impulse and Networking Fond: VH-NG-928