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May 8 – 12, 2023
Norfolk Waterside Marriott
US/Eastern timezone

Level-3 Electron trigger with Artificial Intelligence for CLAS12

Not scheduled
1h
Hampton Roads Ballroom and Foyer Area (Norfolk Waterside Marriott)

Hampton Roads Ballroom and Foyer Area

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510
Poster Poster Poster Session

Speaker

Gavalian, Gagik (Jefferson Lab)

Description

With ever increasing data rates in modern physics experiments there is a need to
partially analyze incoming data real time. Increasing data volumes create a need
to filter data to write out only events that are useful for physics analysis.
In this work we present a Level-3 trigger developed using Artificial Intelligence
to select electron trigger events at data acquisition level. Convolutional Neural Network
used combined data from Drift Chambers and Electromagnetic Calorimeter to identify
electron trigger, as a result providing 99.9% accuracy and 94% purity
(compared to 96% accuracy and 40% purity of level-1 trigger). The online version
of the Level three trigger is running on Nvidia Tesla T4 GPUs, and is capable to keep up
with Data Acquisition rate (18 kHz).

Primary authors

Gavalian, Gagik (Jefferson Lab) Mr Tyson, Richard (Glasgow University)

Presentation materials

There are no materials yet.