• Photonics Research
  • Vol. 6, Issue 11, 1008 (2018)
Yufei Xing1、2、*, Jiaxing Dong1、2, Sarvagya Dwivedi3, Umar Khan1、2, and Wim Bogaerts1、2
Author Affiliations
  • 1Photonics Research Group, Ghent University-IMEC, Ghent, Belgium
  • 2Center of Nano and Biophotonics, Ghent, Belgium
  • 3Electrical and Computer Engineering Department, University of California Santa Barbara, Santa Barbara, California 93106-9560, USA
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    DOI: 10.1364/PRJ.6.001008 Cite this Article Set citation alerts
    Yufei Xing, Jiaxing Dong, Sarvagya Dwivedi, Umar Khan, Wim Bogaerts. Accurate extraction of fabricated geometry using optical measurement[J]. Photonics Research, 2018, 6(11): 1008 Copy Citation Text show less
    Work flow of extracting behavior parameters and fabricated geometry using optical measurements.
    Fig. 1. Work flow of extracting behavior parameters and fabricated geometry using optical measurements.
    (a) Cross-section schematic of an oxide-clad SOI strip waveguide with a 85° sidewall angle; (b) width and thickness grid of strip waveguides; (c) effective and group indices of strip waveguides on the geometry grid using the COMSOL FEM simulation, and the first-, the second-, or the third-order polynomial mapping model.
    Fig. 2. (a) Cross-section schematic of an oxide-clad SOI strip waveguide with a 85° sidewall angle; (b) width and thickness grid of strip waveguides; (c) effective and group indices of strip waveguides on the geometry grid using the COMSOL FEM simulation, and the first-, the second-, or the third-order polynomial mapping model.
    Error contour plot of the proposed third-order polynomial model where w ranges from 440 to 500 nm and thickness ranges from 195 to 235 nm. Left, width extraction error; right, thickness extraction error.
    Fig. 3. Error contour plot of the proposed third-order polynomial model where w ranges from 440 to 500 nm and thickness ranges from 195 to 235 nm. Left, width extraction error; right, thickness extraction error.
    (a) Layout of the MZI under test. (b) Circuit schematic of the MZI.
    Fig. 4. (a) Layout of the MZI under test. (b) Circuit schematic of the MZI.
    We removed the GC envelope using a reference GC near the DUT. Fabrication variation caused the measured spectrum after GC removal to be far from ideal (as shown by the spectrum simulated by the circuit model), as ideally the peaks in the spectrum should have the same amplitude. After GC removal, we fitted the measured spectrum with the circuit model (Fig. 4), not including the GC. Red solid curve, measured transmission spectrum after removing the GC envelope using a reference GC. Blue dotted curve, fitted spectrum using the circuit model. Left, the low-order MZI. Right, the high-order MZI.
    Fig. 5. We removed the GC envelope using a reference GC near the DUT. Fabrication variation caused the measured spectrum after GC removal to be far from ideal (as shown by the spectrum simulated by the circuit model), as ideally the peaks in the spectrum should have the same amplitude. After GC removal, we fitted the measured spectrum with the circuit model (Fig. 4), not including the GC. Red solid curve, measured transmission spectrum after removing the GC envelope using a reference GC. Blue dotted curve, fitted spectrum using the circuit model. Left, the low-order MZI. Right, the high-order MZI.
    This figure shows the measured transmission spectrum (red solid curve) and fitted spectrum (blue dotted curve) using the circuit model including the polynomial GC model. Also, valleys of the spectrum (green cross) are found by the peak detection method. Left, the low-order MZI. Right, the high-order MZI.
    Fig. 6. This figure shows the measured transmission spectrum (red solid curve) and fitted spectrum (blue dotted curve) using the circuit model including the polynomial GC model. Also, valleys of the spectrum (green cross) are found by the peak detection method. Left, the low-order MZI. Right, the high-order MZI.
    Bounds of the extraction. (a) The bound of width and thickness. (b) Rectangle bound [11] parallelogram, reduced bounds by linear transformation of geometry bounds. (c) Rectangle bounds cannot separate three groups of solutions (red, blue, and green circles). The parallelogram cleanly isolates the correct solutions (blue circles).
    Fig. 7. Bounds of the extraction. (a) The bound of width and thickness. (b) Rectangle bound [11] parallelogram, reduced bounds by linear transformation of geometry bounds. (c) Rectangle bounds cannot separate three groups of solutions (red, blue, and green circles). The parallelogram cleanly isolates the correct solutions (blue circles).
    Top left, low-order and high-order MZIs we used for geometry extraction. Bottom left, locations of two devices on a die. Right, locations of dies on the wafer. Red grid indicates dies on the wafer. The black circle is the boundary of the wafer.
    Fig. 8. Top left, low-order and high-order MZIs we used for geometry extraction. Bottom left, locations of two devices on a die. Right, locations of dies on the wafer. Red grid indicates dies on the wafer. The black circle is the boundary of the wafer.
    Extracted neff and ng of the high-order MZI. Left, die (X=0, Y=0); right, die (X=−2, Y=2).
    Fig. 9. Extracted neff and ng of the high-order MZI. Left, die (X=0, Y=0); right, die (X=2, Y=2).
    x and y coordinates give the locations of the MZIs on two dies. Blue solid dot, extracted value. Green grid, fitted map of extracted values using a bivariate polynomial. (a) Extracted width map of die (X=0, Y=0) (in the center of the wafer). (b) Extracted thickness map of die (X=0, Y=0). (c) Extracted width map of die (X=−2, Y=2) (near the edge of the wafer). (d) Extracted thickness map of die (X=−2, Y=2).
    Fig. 10. x and y coordinates give the locations of the MZIs on two dies. Blue solid dot, extracted value. Green grid, fitted map of extracted values using a bivariate polynomial. (a) Extracted width map of die (X=0, Y=0) (in the center of the wafer). (b) Extracted thickness map of die (X=0, Y=0). (c) Extracted width map of die (X=2, Y=2) (near the edge of the wafer). (d) Extracted thickness map of die (X=2, Y=2).
    We extracted the linewidth and thickness on the same device over 21 dies on the wafer. Top left, systematic linewidth variation; bottom left, random linewidth variation; top right, systematic thickness variation; bottom right, random thickness variation.
    Fig. 11. We extracted the linewidth and thickness on the same device over 21 dies on the wafer. Top left, systematic linewidth variation; bottom left, random linewidth variation; top right, systematic thickness variation; bottom right, random thickness variation.
     Error Δw [nm]Error Δt [nm]
    First order5.104.57
    Second order0.140.18
    Third order0.060.08
    Table 1. Error of Polynomial Models
     neffngWidth [nm]Thickness [nm]
    Curve fitting using a GC model2.3194.291466.0211.8
    Peak detection2.3184.302462.0213.8
    Difference between two methods0.0010.0094.02.0
    Table 2. Comparison between the Peak Detection Method and the Curve Fitting Methoda
    Orderneffngw [nm]t [nm]ErrorneffErrorngErrorwErrort
    152.3362644.280000472.6998212.71820.0147050.718928270.355700137.651600
    502.3407474.290649469.3341215.60512.18×1050.0013660.5116910.270922
    1002.3395614.288268470.0631214.91681.07×1050.0006630.2483670.130336
    1502.3397294.288448470.0189214.98297.39×1060.0004600.1724990.090586
    Table 3. Fitting Error versus Interference Order
     Width w [nm]Thickness t [nm]
    Die Number(X=0, Y=0)(X=2, Y=2)(X=0, Y=0)(X=2, Y=2)
    Mean, μ469.34463.88211.58212.86
    Standard deviation, σ1.261.180.300.42
    Extraction error0.370.26
    Table 4. Statistical Results for the Manufacturing Variations of a 200 mm Wafer Fabricated through a 193 nm DUV Lithography Process
    Yufei Xing, Jiaxing Dong, Sarvagya Dwivedi, Umar Khan, Wim Bogaerts. Accurate extraction of fabricated geometry using optical measurement[J]. Photonics Research, 2018, 6(11): 1008
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