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Generation and Coherent Control of Pulsed Quantum Frequency Combs
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Homomorphic data compression for real time photon correlation analysis.

Sebastian Strempfer, Zichao Wendy Di, Kazutomo Yoshii

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    Summary
    This summary is machine-generated.

    We developed a homomorphic compression method to address big data challenges in X-ray photon correlation spectroscopy (XPCS). This technique significantly reduces data processing time and storage needs for faster scientific discovery.

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    Area of Science:

    • Coherent X-ray science
    • Materials science
    • Data science

    Background:

    • Advancements in coherent X-ray sources and detectors enable new research but create data challenges.
    • X-ray photon correlation spectroscopy (XPCS) particularly benefits from faster acquisition, enabling study of faster dynamics.
    • Real-time analysis for XPCS requires simultaneous computation on extensive time-series data, posing significant processing and storage hurdles.

    Purpose of the Study:

    • To introduce a novel homomorphic compression scheme for X-ray photon correlation spectroscopy (XPCS) data.
    • To reduce computational time and memory requirements for XPCS analysis.
    • To enable real-time data processing and efficient data storage for advanced X-ray experiments.

    Main Methods:

    • Developed a homomorphic compression scheme leveraging mathematical similarities between matrix compression and correlation calculations.
    • Implemented a method allowing direct computation on compressed data without decompression.
    • Designed both offline compression for storage and online compression for real-time processing.

    Main Results:

    • Offline compression achieved a 40x increase in storage capacity while preserving essential data features.
    • Online compression reduced computational time to below 1 millisecond, enabling kHz framerate correlation function calculations.
    • Demonstrated effective reduction of computational and storage burdens for XPCS analysis.

    Conclusions:

    • The homomorphic compression scheme offers an effective solution to the big data challenges at coherent light sources.
    • This framework facilitates real-time operations directly on compressed data streams, applicable beyond XPCS.
    • The method enhances the feasibility of studying faster dynamics in materials using advanced X-ray techniques.