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Automated alignment of XFEL nanofocusing mirrors via wavefront optimization.

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An automated alignment system precisely tunes X-ray nanofocusing mirrors using wavefront measurement. This method rapidly achieves optimal X-ray free-electron laser (XFEL) focus, enhancing experimental efficiency.

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Area of Science:

  • Optics and Photonics
  • X-ray Science
  • Instrumentation

Background:

  • Precise alignment of Kirkpatrick-Baez mirrors is crucial for nanofocusing X-ray free-electron laser (XFEL) beams.
  • Aberrations and misalignment degrade focal spot size and intensity, impacting experimental results.

Purpose of the Study:

  • To develop an automated alignment procedure for Kirkpatrick-Baez nanofocusing mirrors.
  • To optimize focus size, maximize peak intensity, and minimize aberrations for XFEL applications.

Main Methods:

  • Wavefront measurement using a single-grating interferometer.
  • Quantitative correlation of wavefront errors with alignment deviations (incidence angle, perpendicularity, astigmatism) via Legendre polynomial analysis.
  • Automated correction of alignment errors through an optimization process.

Main Results:

  • The automated system consistently achieves reproducible XFEL foci below 150 nm × 200 nm.
  • Optimal nanofocusing conditions are restored within 10 minutes.
  • Legendre polynomial analysis effectively quantifies alignment errors.

Conclusions:

  • The developed automated alignment procedure is reliable and efficient for XFEL nanofocusing mirrors.
  • This method enables rapid restoration of optimal experimental conditions.
  • The system demonstrates practical utility in routine operation at facilities like SACLA.