Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements...

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udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger • Ellipsometry • Example • Bayesian Analysis • Results and Conclusion

Transcript of Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements...

Page 1: Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger Ellipsometry.

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

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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

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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

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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

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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

Page 6: Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger Ellipsometry.

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!

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udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20067

immer noch komplexer Teilchenzoo!

Principles of Ellipsometry

the plane:,

Use of empirical models:

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udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20068

Duoplasmatron (Ivan Bizyukov): a-C:H flux probe (bombardment by 1 keV D+)

But sometimes…

Page 9: Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger Ellipsometry.

udo_ME2006.ppt, © Udo v. Toussaint, 11. July 20069

Duoplasmatron (Ivan Bizyukov): a-C:H flux probe (bombardment by 1 keV D+)

But sometimes…

?

?

Page 10: Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger Ellipsometry.

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

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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

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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

,,

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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?

Page 14: Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger Ellipsometry.

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

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udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200615

Surface reconstruction from interference images

Interference images from ellipsometry

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udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200616

Surface reconstruction from interference images

And what about the edge?

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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:

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udo_ME2006.ppt, © Udo v. Toussaint, 11. July 200618

experimental setup ICP

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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

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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)

Page 21: Udo_ME2006.ppt, © Udo v. Toussaint, 11. July 2006 1 Bayesian Analysis of Ellipsometry Measurements Udo v. Toussaint and Thomas Schwarz-Selinger Ellipsometry.

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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: