Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements...
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Transcript of Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements...
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20061
Bayesian Analysis of Ellipsometry Measurements
Udo v. Toussaint and Thomas Schwarz-Selinger
• Ellipsometry
• Example
• Bayesian Analysis
• Results and Conclusion
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20062
immer noch komplexer Teilchenzoo!
Detection of the change of polarization of linearly polarized light due to the reflection at the sample surface
shutter
Principles of Ellipsometry
here: single wavelength rotating analyzer ellipsometer
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20063
Camera
Laser
polarizer
analyzer
controller ellipsometer
powersupplies
highpressure
lampmonochromator
sample stage
Jobin Yvon PZ 2000 Ellipsometer
wavelength: 632 nm (400 -800 nm)
spot size: 10 x 30 m (10 m)
motorized xyz sample stage
positioning accuracy: 30 m
sample thickness: 2 mm
measurement range: Å - 30 m
measurement accuracy: > 0. 1 Å (1 nm)
Principles of Ellipsometry
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20064
Principles of Ellipsometry: Reflection of light I
solid sample: Fresnel equations
.cosˆcosˆ
cosˆ2
,cosˆcosˆ
cosˆ2
,cosˆcosˆ
cosˆcosˆ
,cosˆcosˆ
cosˆcosˆ
2211
11
012,
1221
11
012,
2211
2211
012,
2112
2112
012,
nnn
E
Et
nnn
EE
t
nnnn
EE
r
nnnn
EE
r
s
ts
p
tp
s
rs
p
rp
inn ˆcomplex index of refraction:n
ncphasevdefined by:
: extinction coefficient
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20065
Principles of Ellipsometry: Reflection of light II
multilayer system:
123*
123123222312
2312123 ,cosˆ
2,
)2iexp(1)2iexp(
rrRdnrrrr
r
Snell’s law: 2211 cosˆcosˆ nn
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20066
Principles of Ellipsometry
.tans
p ier
r
Measured data:
detection of the change of polarization of linearly polarized light due to the reflection at the sample surface
in fact we measure and (ellipsometric angles):
each measurement delivers only 2 pieces of information
but depends on: incident angle ni and i and di of each medium is
p
r
r
for a single measurement result is ambiguous if neither ni nor i is known!
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20067
immer noch komplexer Teilchenzoo!
Principles of Ellipsometry
the plane:,
Use of empirical models:
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20068
Duoplasmatron (Ivan Bizyukov): a-C:H flux probe (bombardment by 1 keV D+)
But sometimes…
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20069
Duoplasmatron (Ivan Bizyukov): a-C:H flux probe (bombardment by 1 keV D+)
But sometimes…
?
?
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200610
Duoplasmatron (Ivan Bizyukov): a-C:H flux probe (erosion by 1 keV D+)
But sometimes…
measurement
model for the plasma deposited a-C:H film
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200611
Surface reconstruction from interference images
Interference images from ellipsometry:
2 data values (angles) per measurement point
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200612
Bayesian Model
Likelihood: Gaussian likelihood
2
2
2
2
2
,,exp
2
,,exp
1,,,|,
dngdnf
ZIdnp
Ill-posed problem: no. of parameters larger than no. of data
Use prior-information: optical properties vary on a different length scale
Two-scale approach: Nested grids for d and n,
Prior: Bounded, flat :
MinMax xx
Ixp
1
|
dnx
,,
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200613
Bayesian Model• Posterior: Bayes theorem
Ip
IdnpIdnpIndp
|,
,,,|,|,,,,,,|
******
• Model specifications: 4 layers, 6 unknowns (in 2 layers)
domain size inner grid: 3x3 -5x5
• Optimization with respect to the parameters: Results were disappointing
• Why?
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200614
Surface reconstruction from interference images
Ambigous solutions possible Important: Stay on correct branch of solution
Virtually indistinguishable
solutions: identical 2
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200615
Surface reconstruction from interference images
Interference images from ellipsometry
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200616
Surface reconstruction from interference images
And what about the edge?
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200617
Conclusions & Outlook
• Ellipsometry is a great non-perturbing surface analytical tool - but
• ML - evaluation of data may not be straightforward or even misleading
• Prior information is essential
• Derived parameter estimation algorithm works reliable
Outlook:
• Model comparison for number of layers• Improved consideration of correlations
Conclusions:
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200618
experimental setup ICP
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200619
20 30 40 50
1,6
1,8
2,0
2,2
2,4 U
SB=-200 V
USB
=- 30 V U
SB=floating
USB
=floating, a-C:D
Bre
chu
ng
sin
de
x n
p
H/(H+C) (at %)
film properties like- hydrogen content- density- refractive index
are closely correlated
T.Schwarz-Selinger, A. von Keudell, W.Jacob, J.Appl. Phys. 86, 3988 (1999)
quantification of ellipsometry data
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200620
tender spot in general
detection of atomic hydrogen in the plasma environment
needed: hydrogen sensor
12 scans
and measuring the erosion depth with ex-situ-ellipsometry
is complicted in the plasma environment
erosion of a dense a-C:H-film at 650 K
T. Schwarz-Selinger, W. Jacob, A. von Keudell, JVST A. 18 (3), 995 (2000)
udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200621
Profilometry versus Ellipsometry/Reflectometry
Profilometry: mechanical contact with the sample topography
Ellipsometry/Reflectometry: optical response of the sample
thickness x refractive index
general take home message: