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- W2901130321 abstract "Pulse digitation at high rates has opened the way to employ complex, non-standard algorithms to obtain the timestamps of gamma photons arriving to nuclear detectors, beyond the conventional constant fraction discriminator (CFD) option. Detector pulses can be shaped with digital filters by means of DSP hardware, and timestamps can be derived interpolating and/or, extrapolating the samples acquired. Digitized pulses can be stored in a computer for off-line analysis which makes it possible to try many different algorithm variations on the same data. Very soon, the number of filters and parameters to tune in order to optimize the best timing performance becomes too large. In this work we use a genetic algorithm to tune the in-silico digital filter, digital time pickup algorithm and associated parameters. The data set consisted in 500,000 pulses obtained from the last dynode of an ultrafast PMT (model R9779 form Hamamatsu) coupled to large monolithic inorganic BrLa(Ce) scintillators, in both truncated cone 1.5” $times 1 '' times 1.5$” . With finely tuned conventional (CFD +TAC) timing electronics, CRT of 155 ps (FWHM) have been obtained in our group, results that represent the state of the art with detectors this size. Our alternate digital, in-silico implementation of CFD+TAC, fine tuned with the same parameters obtained during manual adjustment of the conventional DAQ, and applied to pulses digitized at 5 GS/s and 12 bits, reproduces the performance of the conventional DAQ. On the other hand, a genetic algorithm (GA) is employed to optimize digital recursive filters with up to 8 parameters, and different time-pickup strategies (upper level tresholding, CFD, time extrapolation). The same 500,000 pulses are employed to test the fitness of the population in the GA. The GA finds several families of filters outperforming by more than 8% the performance of the algorithm tuned manually." @default.
- W2901130321 created "2018-11-29" @default.
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- W2901130321 date "2017-10-01" @default.
- W2901130321 modified "2023-09-29" @default.
- W2901130321 title "Optimizing Time-Pickup Algorithms in Radiation Detectors with a Genetic Algorithm" @default.
- W2901130321 doi "https://doi.org/10.1109/nssmic.2017.8532966" @default.
- W2901130321 hasPublicationYear "2017" @default.
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