Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Covariance mapping: a correlation method applied to multiphoton multiple ionization.

L J Frasinski, K Codling, P A Hatherly

    Science (New York, N.Y.)
    |November 24, 1989
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    The Absorption Spectra of Krypton and Xenon in the Wavelength Range 330-600 Å.

    Journal of research of the National Bureau of Standards. Section A, Physics and chemistry·2021
    Same author

    Accurate prediction of X-ray pulse properties from a free-electron laser using machine learning.

    Nature communications·2017
    Same author

    Femtosecond X-ray-induced explosion of C60 at extreme intensity.

    Nature communications·2014
    Same author

    Dynamics of hollow atom formation in intense x-ray pulses probed by partial covariance mapping.

    Physical review letters·2013
    Same author

    Comparison of an ionization chamber and a thermopile as absolute detectors in the extreme ultraviolet.

    Applied optics·2010
    Same author

    Instrumental aspects of synchrotron XUV spectroscopy.

    Applied optics·2010
    Same journal

    Erratum for the Research Article "Detecting supramolecular organic nanoparticles during heat wave".

    Science (New York, N.Y.)·2026
    Same journal

    Local signals, systemic decline.

    Science (New York, N.Y.)·2026
    Same journal

    The mechanics of liver regeneration.

    Science (New York, N.Y.)·2026
    Same journal

    Computing in a memory with physics.

    Science (New York, N.Y.)·2026
    Same journal

    Retraction.

    Science (New York, N.Y.)·2026
    Same journal

    Making time.

    Science (New York, N.Y.)·2026
    See all related articles

    Covariance mapping reveals hidden correlations in fluctuating signals, unlike conventional averaging. This technique was applied to analyze molecular fragmentation dynamics after intense laser ionization.

    Area of Science:

    • * Physics
    • * Physical Chemistry
    • * Spectroscopy

    Background:

    • * Conventional signal processing methods, such as averaging, can obscure subtle correlations within highly fluctuating data.
    • * Identifying these hidden correlations is crucial for understanding complex dynamic processes.

    Purpose of the Study:

    • * To introduce and demonstrate the utility of covariance mapping as a method for uncovering hidden correlations in fluctuating signals.
    • * To analyze the dynamics of molecular fragmentation following ionization by an intense picosecond laser.

    Main Methods:

    • * Development and application of covariance mapping technique.
    • * Analysis of data from molecular fragmentation experiments induced by intense picosecond laser pulses.

    Main Results:

    Related Experiment Videos

    • * Covariance mapping successfully revealed previously obscured correlations in the fluctuating signal.
    • * The technique provided unambiguous insights into the dynamics of molecular fragmentation.

    Conclusions:

    • * Covariance mapping is a powerful tool for analyzing complex fluctuating signals and uncovering hidden correlations.
    • * The method offers significant advantages over conventional averaging for studying dynamic processes like laser-induced molecular fragmentation.