Datapath Noise Controller for Lithography Dose Uniformity
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Solution Overview
Problem
Lithographic apparatuses using arrays of individually controllable elements face challenges in maintaining dose uniformity and critical dimension uniformity due to rounding errors from quantization of data streams, which affect the precision of pattern transfer onto substrates.
Innovation Solution
Incorporating a noise controller to introduce a predetermined amount of noise into the setpoint data stream before digitization, which randomizes rounding errors and improves dose and critical dimension uniformity without increasing quantization resolution or datapath bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If quantization is applied to data streams defining setpoints for array elements, then data can be processed and transmitted, but rounding errors occur that reduce dose uniformity and critical dimension uniformity
Solution Approach 1:
The patent converts the harmful quantization rounding errors into beneficial randomized noise by adding dither signal before quantization. This transforms systematic dose uniformity degradation into randomized errors that average out, improving overall dose uniformity while maintaining data processing capability.
Solution Approach 2:
The patent changes the statistical parameters of the error distribution by adding random noise before quantization. This modifies the error characteristics from systematic bias to randomized distribution with zero mean, allowing errors to cancel out through averaging across multiple elements.
2Manufacturing precision
If quantization resolution is increased to reduce rounding errors, then dose uniformity improves, but datapath bandwidth requirements increase
Solution Approach 1:
The patent changes the statistical properties of quantization errors through dither addition, allowing coarser quantization (fewer bits) to achieve the same effective precision. This reduces data bandwidth requirements while maintaining dose uniformity through randomized error distribution that averages out.
Data Source
AI summary
A lithography method and system comprise an array of individually controllable elements, a first datapath section, a second datapath section, and a quantization device. The array of individually controllable elements modulates a beam of radiation. The first datapath section converts data defining a requested dose pattern into a stream of setpoint data defining a desired sequence of setpoints for the array of individually controllable elements. The second datapath section stores and reproduces the stream of setpoint data for the array of individually controllable elements. The quantization device digitizes the stream of setpoint data before it is passed from the first datapath section to the second datapath section. The first datapath section further comprises a noise controller configured to incorporate noise of a predetermined magnitude into the stream of setpoint data before it is digitized by the quantization device.


