Wafer Thickness Measurement Error Reduction via Cavity Calibration
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Solution Overview
Problem
Existing methods for measuring wafer shape and thickness are unable to effectively reduce errors caused by higher order cavity shape changes, such as those due to temperature or stress variations, which affect the accuracy of measurements.
Innovation Solution
The method involves calibrating the cavity characteristics between reference flats in interferometer channels, synchronizing interferograms using a single wavelength tunable laser, and using high-order polynomials to estimate cavity tilt and determine wafer thickness variations, thereby accounting for cavity shape changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional interferometer methods are used to measure wafer shape and thickness, then measurement capability is provided, but measurement precision deteriorates due to higher order cavity shape changes caused by temperature or stress variations
Solution Approach 1:
The system performs preliminary calibration of the cavity characteristics between reference flats before actual wafer measurement. This preliminary action captures the cavity shape including higher order deformations, which are then used to compensate for measurement errors during subsequent wafer measurements, thereby improving measurement precision under varying temperature and stress conditions
Solution Approach 2:
The invention changes the measurement approach by using high-order polynomial fitting to model cavity shape changes as a function of position and environmental parameters. By parameterizing the cavity deformation and compensating for it mathematically, the system maintains measurement reliability despite temperature and stress variations
2Productivity
If two phase-shifting Fizeau interferometers are combined to measure both sides of wafer simultaneously, then measurement efficiency is improved, but measurement precision deteriorates due to inability to correct higher order cavity shape errors
Solution Approach 1:
The system performs preliminary measurement and characterization of the cavity shape using the same dual interferometer setup before wafer measurement. This preliminary action enables the system to capture higher order cavity deformations and use them for error compensation during actual production measurements, maintaining both high throughput and precision
Solution Approach 2:
The invention implements a feedback mechanism where cavity characteristics measured during or before wafer measurement are used to correct the thickness variation data. The system continuously monitors and compensates for cavity shape changes, ensuring measurement precision is maintained even with high-speed dual-side measurement capability
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly increases the accuracy of wafer shape and thickness measurements by considering high-order cavity shape information, reducing measurement errors caused by temperature and stress variations.
Implementation Method 1
synchronizing the interferograms in the two interferometer channels by supplying the light from a single wavelength tunable laser light source
Implementation Method 2
combines two phase-shifting Fizeau interferometers to simultaneously obtain two single-sided distance map
Implementation Method 3
measuring the surface height on both sides and thickness variation of a wafer
Data Source
AI summary
Methods and systems for reducing wafer shape and thickness measurement errors resulted from cavity shape changes are disclosed. Cavity calibration process is performed immediately before the wafer measurement. Calibrating the cavity characteristics every time the method is executed reduces wafer shape and thickness measurement errors resulted from cavity shape changes. Additionally or alternatively, a polynomial fitting process utilizing a polynomial of at least a second order is utilized for cavity tilt estimation. High order cavity shape information generated using high order polynomials takes into consideration cavity shape changes due to temperature variations, stress or the like, effectively increases accuracy of the wafer shape and thickness information computed.


