High Quality Resolution in Photon Counting
Researchers at Purdue University have addressed these problems by developing a novel technology that maximizes the resolution between events in particle counting. The technology includes an approach to deconvolution that uses an evaluation based on digital filters derived from linear discriminate analysis (LDA). LDA is a supervised approach for separating high-dimensional data into distinct classes, and a digital filter targets recovery of a sharp impulse for a detector impulse response function. Although the application of the technology is photon and ion counting, the technology can be extrapolated to broader applications in high-speed data transmission.
Increases accuracy of photon and ion countingDecreases error of paralysis counting caused by time-delay and voltage recovery
Photon and ion countingHigh-speed data transmission
Garth SimpsonSimpson Laboratory for Nonlinear OpticsPurdue Chemistry
United States
None
USA
