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Time-resolved XPCS analysis across broad time-scales using multi-tau two-time correlations.

Fabio Brugnara1, Marco Cammarata2, Yuriy Chushkin2

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Summary
This summary is machine-generated.

We developed a new multi-tau two-time correlation (MT-2TC) analysis for X-ray photon correlation spectroscopy (XPCS). This method efficiently processes large datasets from modern synchrotrons, extending analysis to broader timescales.

Keywords:
X-ray photon correlation spectroscopymulti-tau algorithmsynchrotron data analysis

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Spectroscopy

Background:

  • X-ray Photon Correlation Spectroscopy (XPCS) is crucial for studying dynamics in materials.
  • Modern synchrotrons generate large, high-frame-rate datasets that challenge conventional analysis methods.
  • Existing techniques struggle with computational complexity and limited accessible timescales.

Purpose of the Study:

  • To introduce an efficient and scalable analysis method for XPCS data.
  • To extend the accessible correlation time range for dynamic material studies.
  • To enable analysis of large datasets from high-speed detectors at advanced synchrotron facilities.

Main Methods:

  • Developed a multi-tau two-time correlation (MT-2TC) algorithm.
  • Combined multi-tau autocorrelation and two-time correlation principles.
  • Implemented MT-2TC for both dense and sparse data representations, supporting ultra-fast detectors.

Main Results:

  • MT-2TC reduces computational complexity from quadratic to linear scaling with the number of frames.
  • Extended the accessible correlation time range by nearly two orders of magnitude.
  • Demonstrated agreement with standard methods on GeO2 glass and v-Ta2O5 thin films, improving signal-to-noise at long lag times.

Conclusions:

  • MT-2TC offers a computationally efficient and scalable solution for XPCS data analysis.
  • The method is suitable for current and future synchrotron light sources, including fourth-generation facilities.
  • MT-2TC enables the study of non-stationary dynamics over unprecedented timescales.