2. Materials and Methods
20 cm diameter SiO2 on Si samples of nominally 40, 60 and 100 nm thickness were used for calibration of angle-of-incidence and rho correction and another nominally 80 nm thickness SiO2/Si sample was used as independent check.
Note that, silicon dioxide is one of the most studied materials and widely used in semiconductor industry, due to its huge abundance, affordability and technological importance. The homogeneity of the SiO
2 film was proved to be maximum 5 nm across the samples qualifying it as patterned large-area reference sample for film thickness [
6].
Our optical mapping tool consists of a polarization sensitive camera (The Imaging Source Company’s DYK 33UX250 USB 3.0 Polarsens camera, a 2/3 inch Sony CMOS Pregius Polarsens sensor of model IMX250MZR Integrated with 4-Directional Wire Grid Polarizer Array) with a pinhole of sub-mm size in front of it, a Sample holder and an LCD monitor (Dell UltraSharp™ U2412M, GB-LED) as a light source for illumination of the selected sample. See
Figure 2 below, for the Schematics of the experimental setup diagram, where
1) Light source 2) Vertical polarizer 3) Liquid crystal cell 4) Horizontal polarizer
5) Sample 6) Sample holder 7) Pinhole and 8) Camera sensor.
Notice that, our optical mapping ellipsometer uses a non-collimated beam (coming from the monitor screen) as a source of light, despite most conventional ellipsometers usage of collimated light beams with a well-defined angle of incidence. Our arrangement shows similarity to the solution of Bakker et al [
7], using a computer screen as a light source and a webcam as a detector in an imaging off-null ellipsometer. The basis of the work is a patent from our Institute: Horváth Z Gy, Juhász G, Fried M, Major C, Petrik P: Imaging optical inspection device with a pinhole camera; EP2160591B1, Submission Number: PCT/HU2008/000058, NSZO: G01N21/8422, Country of patent: Europe.
The non-collimated beam ellipsometer set up is shown in Fig. 2. A LED-LCD monitor serves the polarized RGB colored light (see the built-in polarizer sheet, number 4 in Fig. 2 and a polarization sensitive camera behind a pinhole (7&8) together. The LCD monitor (Dell UltraSharp™ U2412M, GB-LED) is used in a 45-degree rotated position, measured by a digital angle gauge with 0.1 deg precision. In straight-through position, we can detect the extinction of the polarization sensitive camera better than 10-2.
The polarization sensitive camera sensor (The Imaging Source Company’s DYK 33UX250 USB 3.0 Polarsens camera), serves the polarization state data, from 0, 45, 90, 135-degree rotation positions (plus 3 RGB colors in each position). This arrangement is equal to a conventional static photometric rotating analyzer ellipsometer.
The sample is illuminated by a non-collimated light through a fixed polarizer at an azimuth of 45 degrees to the plane of incidence. The reflected light passes through a virtual “rotating analyzer” and the intensity is captured by a two-dimensional position sensitive photodetector system at four different angular positions of the analyzer.
Minimum 3 different analyzer positions are required. These four polarization states (intensity) data (at 0, 45, 90, 135-degree rotation positions) are enough (the fourth date is good to reduce the error) to determine the ellipsometric angles: ψ and Δ. Our camera serves the data for 3 colors, so we have 3x2 measured ψ and Δ.
Theoretically, perfect linearly polarized light is coming from the monitor at 3 different (red, green, blue) light-bands. If this is true, then we should measure 1 and 1 for tan ψ and cos Δ, if we measure without a sample, but we direct the camera to the monitor. The result of such measurement can be seen below in
Figure 4. This measurement shows the fact that a point-by-point ρ-correction calibration is needed.
Three SiO2 sample with different thicknesses (nominally 40 nm, 60 nm and 100 nm) on Silicon substrates were used for the calibration process:
Monitor-correction are calculated using the following equation:
where ρ
opt is the measured value with perfect light source, ρ
meas is the actually measured value and ρ
monitor is the ρ-correction. We measure three SiO2/Si samples with different thicknesses. We determine 3*N*2 ψ and Δ (where N is the number of different wavelengths, presently 3) and we should calculate (fit) 2*N+3+1 unknown calibration values for a full calibration: N*real(ρ
monitor) and N*im(ρ
monitor) + 3 thicknesses + 1 actual angle of incidence in each points and each wavelengths. The thicknesses and angle-of-incidences are only place-dependents, but the ρ-corrections (ρ
monitor) are place- and wavelength-dependents.
The basic equations for theses evaluations are the Fresnel equations. Below are the equations for the optical interference in an ambient/thin film/substrate optical model.
Where,
N=n-ik, the comples refractive index.
r and t are the complex reflection coefficient and complex transmission coefficient for p- and s-polarized lights respectively.
Ɵ
j and Ɵ
k are the angle of incidence and transmission respectively, and are related by the Snell`s law
Ellipsometry is an indirect measurement method, generally the measured values (ellipsometric angles) cannot be converted directly into the physical parameters, i.e. thicknesses and optical constants of the sample. Normally, an optical model is supposed and a fitting procedure is used to evaluate the variable parameters. Finding the best match between the model and the experiment is typically achieved through regression, where the computer-program calculates the ellipsometric angles (based on the optical model) and compare them with the measured ones. An estimator, such as the Mean Squared Error (MSE), is used to quantify the difference between the calculated and measured ellipsometric angles. The lower MSE indicates a better fit and better optical model. In our calibration process, we fit the angle-of-incidence (wavelength independent), the 3 thicknesses (wavelength independent), and the ρmonitor (wavelength dependent), point-by-point.
A special software or program is required to perform this complicated calibration process, because we should fit the results in a complicated manner, fitting all the 10 unknown parameters in the same time using the measurements of the 3 different oxides. Mainly, a MatLab program with some other complementary softwares have been used in our case to analyze and interpret the experimental results.
Each 20 cm diameter oxide sample was placed at six different positions on the 30x30 cm holder, see
Figure 3. After the fitting procedure, we get the thickness values, the angle-of-incidence values, the ρ
monitor values, and the MSE (mean square error, the goodness of the fit), which is the squared difference between the measured and calculated ψ and Δ values. The fitted thickness, the angle and ρ values were collected according to the low MSE values, see
Figure 5. As each oxide sample is put at a specific position on the substrate, significant errors can be seen several places due to the edges or the insufficient illumination from the monitor. We merged the maps according to the lower MSE, and checking that what parts of the maps (angle of incidence, thicknesses and ρ
monitor values) are “smooth” enough. As a result, the pixels in the mapping figures were truncated, where the MSE is not low enough, and where values changes step-like manner. At last, we diagnosed that we can use reliably only the central 20x15 cm part.
Figure 3.
Position order of a SiO2 sample, on six different positions at different places. (a) Sample position order model (b) Sample at 3rd position.
Figure 3.
Position order of a SiO2 sample, on six different positions at different places. (a) Sample position order model (b) Sample at 3rd position.