29 October 2023 to 3 November 2023
DLNP, JINR
Europe/Moscow timezone

Development of clusterization algorithm for pixel detectors for FPGA Abstract

31 Oct 2023, 16:50
15m
Bogolyubov Hall (2nd floor), BLTP

Bogolyubov Hall (2nd floor), BLTP

Oral Mathematical Modeling and Computational Physics Mathematical Modeling and Computational Physics

Speaker

Александр Лапкин (ЛЯП НЭОВП)

Description

Modern pixel particle detectors allow possibility to determine 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 a dividing of the charge, appeared by interaction with hitting particle, into neighbor pixels.
To compensate this effect the clusterization procedure is used. The clusterization 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 provide estimation of particle energy with higher accuracy. The clusterization procedure usually operates with ready data saved on a computer what required a long time and big amount of memory. Here the clusterisation algorithm for FPGA to include in DAQ systems of pixel detectors is presented. The including clusterization procedure in DAQ reduces amount of memory and time required for data processing.

Primary author

Александр Лапкин (ЛЯП НЭОВП)

Presentation materials

Peer reviewing

Paper