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Thermochemical Laser-Induced Periodic Surface Structures Formation by Femtosecond Laser on Hf Thin Films in Air and Vacuum.

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Diffractive Sensor Elements for Registration of Long-Term Instability at Writing of Computer-Generated Holograms.

Ruslan V Shimansky1, Dmitrij A Belousov1, Victor P Korolkov1

  • 1Institute of Automation and Electrometry SB RAS, 630090 Novosibirsk, Russia.

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Summary

This study introduces diffractive microstructure sensors for computer-generated holograms (CGH). These sensors detect and quantify CGH fabrication errors using diffraction-based overlay, improving hologram accuracy.

Keywords:
asphere testingcomputer-generated hologramscomputer-generated holograms certificationdiffraction-based overlaydiffractive microstructure sensorslaser writing systems

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Area of Science:

  • Optics and Photonics
  • Metrology
  • Nanofabrication

Background:

  • Computer-generated holograms (CGH) are crucial for optical systems.
  • Accurate fabrication of CGHs is essential for their performance.
  • Existing methods for detecting CGH fabrication errors can be complex and time-consuming.

Purpose of the Study:

  • To develop and validate a novel method for in-situ estimation of CGH fabrication errors.
  • To introduce specialized diffractive microstructure sensors for CGH manufacturing.
  • To assess the efficiency of these sensors in quantifying writing errors.

Main Methods:

  • Integration of two-part diffractive microstructure sensors within CGH patterns.
  • Utilizing diffraction-based overlay principles for error detection.
  • Employing circular and X-Y laser writing systems for sensor fabrication.
  • Mathematical modeling and experimental validation of the sensor performance.

Main Results:

  • Demonstrated the ability of diffractive microstructure sensors to detect shifts caused by writing errors.
  • Quantified fabrication errors along orthogonal coordinates based on microstructure shifts.
  • Validated the effectiveness of the developed method through experimental tests.
  • Showcased the efficiency of built-in sensors for CGH writing error estimation.

Conclusions:

  • The developed diffractive microstructure sensors provide an efficient and accurate method for estimating CGH fabrication errors.
  • This technique enables precise control and improvement of CGH manufacturing processes.
  • The built-in sensor approach offers a significant advancement in holographic fabrication quality assurance.