Journal Article PUBDB-2026-01640

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Global $q$-Dependent Inverse Transforms of Intensity Autocorrelation Data

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2026
ACS Publications Washington, DC

Photon science 1(3), 174 - 183 () [10.1021/photonsci.5c00014]  GO

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Abstract: We present an analysis approach for intensity autocorrelation data, as measured with dynamic light scattering and X-ray photon correlation spectroscopy. Our analysis generalizes the established CONTIN and MULTIQ methods by direct nonlinear modeling of the g$_2$ function, enabling the decomposition of complex dynamics without a priori knowledge of experimental scaling factors. We describe the mathematical formulation, implementation details, and strategies for solution, as well as demonstrate decompositions of soft matter dynamics data into distributions of diffusion rates/velocities. The open-source MATLAB implementation, including example data, is publicly available for adoption and further development.

Classification:

Contributing Institute(s):
  1. DOOR-User (DOOR ; HAS-User)
  2. Spectroscopy of molecular processes (FS-SMP)
  3. Coherent X-ray Scattering (FS-CXS)
Research Program(s):
  1. 633 - Life Sciences – Building Blocks of Life: Structure and Function (POF4-633) (POF4-633)
  2. 6G3 - PETRA III (DESY) (POF4-6G3) (POF4-6G3)
  3. SFB 1552 Q03 - Dynamische Informationen durch Röntgenstreuung (Q03) (524614698) (524614698)
  4. FS-Proposal: I-20180073 (I-20180073) (I-20180073)
  5. FS-Proposal: T-20220749 EC (T-20220749-EC) (T-20220749-EC)
Experiment(s):
  1. PETRA Beamline P10 (PETRA III)

Appears in the scientific report 2026
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Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0 ; OpenAccess
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 Record created 2026-05-27, last modified 2026-07-08


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