Электронный каталог

Статья

Lapkin, A.
Development of Clustering Algorithm for Pixel Detectors for FPGA : XXVII International Scientific Conference of Young Scientists and Specialists (AYSS-2023), Dubna, Russia, October 30 – November 3, 2023 : Materials / A.Lapkin, G.Lavrov, V.Makarova, R.Sotenskii, H.B.P.Truong // Физика элементарных частиц и атомного ядра. Письма. – 2024. – Т. 21, № 4. – C. 756. – URL: http://www1.jinr.ru/Pepan_letters/panl_2024_4/42_Lapkin_ann.pdf.

Modern pixel particle detectors allow determining coordinates of hit with high accuracy. Some of them, for example, Medipix series detectors, provide possibilities to evaluate particle energy deposit. However, pixel detectors have a difficult problem of dividing the charge, which appeared from interaction with hitting particle, into neighbor pixels. To compensate this effect, the clustering procedure is used. The clustering procedure is the process of union of neighbor non-zero pixels. A cluster is a group of pixels with common borders. Sum of energy deposit in pixels of a cluster provides estimation of particle energy with higher accuracy. The clustering procedure usually operates with ready data saved on a computer, which requires a long time and large amount of memory. The clustering algorithm for the field-programmable gate array (FPGA) to be included in DAQ systems of pixel detectors is presented. The inclusion of the clustering procedure in DAQ reduces the amount of memory and the time required for data processing.



Спец.(статьи,препринты) = С 344.1м - Полупроводниковые детекторы
ОИЯИ = ОИЯИ (JINR)2024