Robust and accurate Ronchi lateral shearing interferometry with hybrid optimization

Ronchi lateral shearing interferometry (LSI) is widely used in wavefront measurements for advanced lithography tools. However, its accuracy is limited by interference from higher-order diffraction beams. This paper proposes a novel, to the best of our knowledge, hybrid optimization algorithm (HOA) to achieve robust and accurate Ronchi LSI measurements. A robust error function is constructed, which flexibly incorporates at least two interferograms. The proposed HOA employs particle swarm optimization (PSO) to perform a global search and generate effective initial value estimates. Subsequently, an advanced nonlinear optimizer iteratively refines these estimates to obtain the final demodulation results. Extensive validation demonstrates that the proposed algorithm outperforms existing methods, achieving superior accuracy and robustness.

Authors

Publication Details

Journal
Applied Optics
Published
2026-01-30
DOI
https://doi.org/10.1364/ao.583288
Primary Topic
Advancements in Photolithography Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust and accurate Ronchi lateral shearing interferometry with hybrid optimization

Yicheng Zhu, Runzhou Shi, Huiwen Liu, Jian Bai et al.
Applied Optics
Advancements in Photolithography Techniques
article

Robust and accurate Ronchi lateral shearing interferometry with hybrid optimization

Yicheng Zhu, Runzhou Shi, Huiwen Liu, Jian Bai, Haoran Zhu, Xiangzhao Wang
article en

Abstract

Ronchi lateral shearing interferometry (LSI) is widely used in wavefront measurements for advanced lithography tools. However, its accuracy is limited by interference from higher-order diffraction beams. This paper proposes a novel, to the best of our knowledge, hybrid optimization algorithm (HOA) to achieve robust and accurate Ronchi LSI measurements. A robust error function is constructed, which flexibly incorporates at least two interferograms. The proposed HOA employs particle swarm optimization (PSO) to perform a global search and generate effective initial value estimates. Subsequently, an advanced nonlinear optimizer iteratively refines these estimates to obtain the final demodulation results. Extensive validation demonstrates that the proposed algorithm outperforms existing methods, achieving superior accuracy and robustness.

Applied OpticsVol. 65(6)
Openalex Percentile: Top 72%
Advancements in Photolithography Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.