11/8/2000 1 sensitivity of spectroscopic scatterometry: sub-100nm technology sfr workshop november...
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11/8/2000
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Sensitivity of Spectroscopic Scatterometry: Sub-100nm Technology
SFR WorkshopNovember 8, 2000
Ralph Foong, Costas SpanosBerkeley, CA
2001 GOAL: To fully characterize the capabilities of scatterometry in fulfilling the metrology needs of the 100nm
technology node.
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Motivation• Capabilities of scatterometry and required equipment specifications
need to be formalized for 100nm metrology.– Commercial ellipsometers have been identified as being able to perform
spectroscopic scatterometry. Hence, the focus of this study is on these equipment.
– Precision of current generation commercial ellipsometers in measuring profiles consistent with 100nm technology node has to be confirmed.
• Scalability of scatterometry towards 70nm and 50nm metrology has to be explored.– Minimum commercial ellipsometer specifications necessary to successfully
implement 70nm and 50nm metrology need to be determined.
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Overall Framework of Sensitivity Analysis
Commercial Equipment Analysis
Profile Parameters
Simulations for variation in parameter X
[X(-),X(Nominal), X(+)]Cos
Lambda
Tan
Lambda
Determine Noise Contributions
Tan , Cos Noise Spectrum
Are Variations Detectable?
NoYes
EM Response Variations
Which part of the spectrum contains the
most information?
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Methodology• Electromagnetic simulations
are conducted for small changes in profile parameters to measure variations in EM response.
• Noise analysis of commercial ellipsometers is carried out to determine detectability of EM response variations.
d(Beam Divergence)
d(ISource)
d(Polarizer)
d(Analyzer)
d(IDetector)
Sample
PR
ARC
Poly-Si
RoundingSlopeAngle
Height CDFooting
Si
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Signal-to-Noise Ratio for SOPRA EllipsometerSignal-to-Noise Ratio vs Lambda
1
10
100
1000
10000
100000
1000000
10000000
100000000
0.19
0.23
0.27
0.31
0.35
0.39
0.43
0.47
0.51
0.55
0.59
0.63
0.67
0.71
0.75
lambda (nm)
Cts
/s (
Sig
nal
, N
ois
e),
SN
R
Intensity (cts/s)
Noise (cts/s)
S.N.R
• Signal averaged over 30 measurements
• Noise represents 1 standard deviation for each wavelength
• Empirical formula for signal-to-noise ratio:
Noise = 0.412(Intensity)0.632
(R2 Value = 0.937)
• Intensity fluctuation is the main contributor of measurement noise in ellipsometers.
• Monte-Carlo simulations incorporating intensity fluctuations are used to determine the final distributions of Tan and Cos
• The ‘Minimum Detectable Variation’ lines represent the sum of the 3 errors of each of the 2 profiles measured to obtain the variation.
• The graphs demonstrate a trend toward significant information contained in a narrow band in the lower wavelength spectrum.
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100nm Technology Simulations
Variation of Tan Psi for CD Variation vs Lambda
0.0001
0.001
0.01
0.1
1
10
100
Lambda(nm)
Tan
Psi
Var
iati
on Variation(-)
Variation(+)
Minimum DetectableVariation
Undetectable (Below yellow
line)
Detectable (Above yellow
line)
Variation of Cos Del for CD Variation vs Lambda
0.00001
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Co
s D
el V
aria
tio
n Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Tan Psi for CD Variation vs Lambda
0.001
0.01
0.1
1
10
Lambda(nm)
Tan
Psi
Var
iati
on Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Cos Del for CD Variation vs Lambda
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Co
s D
el V
aria
tio
n Variation(-)
Variation(+)
Minimum DetectableVariation
Detectable (Above yellow
line)
Undetectable (Below yellow
line)
100nm Dense Lines (ASIC) 65nm Isolated Lines (MPU)
spectrum of information
content
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70nm Technology Simulations70nm Dense Lines (ASIC) 45nm Isolated Lines (MPU)
Variation of Tan Psi for CD Variation vs Lambda
0.0001
0.001
0.01
0.1
1
10
Lambda(nm)
Tan
Psi
Var
iati
on Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Cos Del for CD Variation vs Lambda
0.00001
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Co
s D
el V
aria
tio
n Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Tan Psi for CD Variation vs Lambda
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Tan
Psi
Var
iati
on Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Cos Del for CD Variation vs Lambda
0.00001
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Co
s D
el V
aria
tio
n Variation(-)
Variation(+)
Minimum DetectableVariation
Detectable (Above yellow
line)
Undetectable (Below yellow
line)
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Variation of Tan Psi for CD Variation vs Lambda
0.00001
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Tan
Psi
Var
iati
on Variation(-)
Variation(+)
Minimum DetectableVariation
50nm Technology Simulations50nm Dense Lines (ASIC) 30nm Isolated Lines (MPU)
Detectable (Above yellow
line)
Undetectable (Below yellow
line)
Variation of Tan Psi for CD Variation vs Lambda
0.001
0.01
0.1
1
10
Lambda(nm)
Tan
Psi
Var
iati
on Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Cos Del for CD Variation vs Lambda
0.000001
0.00001
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Co
s D
el V
aria
tio
n Variation(-)
Variation(+)
Minimum DetectableVariation
Variation of Cos Del for CD Variation vs Lambda
0.000001
0.00001
0.0001
0.001
0.01
0.1
1
Lambda(nm)
Co
s D
el V
aria
tio
n Variation(-)
Variation(+)
Minimum DetectableVariation
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2002 & 2003 Goals• Study the feasibility of building 100nm capable profile
extraction using small footprint, in-line spectroscopic ellipsometry, by 9/30/2002
• Implement lithography controller that merges full profile in-line information with available metrology, by 9/30/2003
Profile Diagnostics
DUV Photolithograph
yPR Deposition,
Focus, Exposure, Bake Time,
Development Time, etc
Process Flow
In-Line Scatterometr
y
Process Flow
Wafers
Feedback Control Loop