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Dynamics from noisy data with extreme timing uncertainty

Author

Listed:
  • R. Fung

    (University of Wisconsin Milwaukee)

  • A. M. Hanna

    (Center for Free-Electron Laser Science, DESY
    The Hamburg Centre for Ultrafast Imaging
    University of Hamburg)

  • O. Vendrell

    (Center for Free-Electron Laser Science, DESY
    The Hamburg Centre for Ultrafast Imaging)

  • S. Ramakrishna

    (Northwestern University)

  • T. Seideman

    (Northwestern University)

  • R. Santra

    (Center for Free-Electron Laser Science, DESY
    The Hamburg Centre for Ultrafast Imaging
    University of Hamburg
    University of Hamburg)

  • A. Ourmazd

    (University of Wisconsin Milwaukee)

Abstract

A data-analytical approach that can extract the history and dynamics of complex systems from noisy snapshots on timescales much shorter than the uncertainty with which the data were recorded is described; the approach is demonstrated by extracting the dynamics on the few-femtosecond timescale from experimental data recorded with 300-femtosecond timing uncertainty.

Suggested Citation

  • R. Fung & A. M. Hanna & O. Vendrell & S. Ramakrishna & T. Seideman & R. Santra & A. Ourmazd, 2016. "Dynamics from noisy data with extreme timing uncertainty," Nature, Nature, vol. 532(7600), pages 471-475, April.
    • Handle: RePEc:nat:nature:v:532:y:2016:i:7600:d:10.1038_nature17627
    DOI: 10.1038/nature17627
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