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July 30, 2022 to August 6, 2022
Cliff Lodge
US/Mountain timezone

Online machine learning based event selection for COMET Phase-I

Aug 5, 2022, 5:10 PM
30m
Ballroom 3

Ballroom 3

Talk WG6: Detectors Joint Session

Speaker

Yuki Fujii (Monash University)

Description

The COMET experiment aims to search for a muon to electron conversion with a single event sensitivity of $3\times10^{-15}$ in its Phase-I in order to explore new physics beyond the Standard Model. In the experiment, a high multiplicity environment is expected around the detector. Many accidental hits may cause a high fake trigger rate that cannot meet the DAQ capability, less than 13 kHz.
To overcome this issue, we are developing the machine learning algorithms implemented onto Field Programmable Gate Arrays (FPGAs) to efficiently select signal like events within an order of a microsecond. We have developed the hardware electronics to meet the timing requirement and confirmed that the simple machine learning algorithms could be populated inside the commercially available FPGAs. In this presentation, we will report the current status of the development and future prospects.

Attendance type In-person presentation

Primary author

Yuki Fujii (Monash University)

Co-authors

Dr Hisataka Yoshida (Osaka University) Dr Kazuki Ueno (Osaka University) Liam Pinchbeck (Monash University) Mr Masaki Miyataki (Osaka University) Dr MyeongJae Lee (Sungkyunkwan University) Dr Yu Nakazawa (High Energy Accelerator Research Organization)

Presentation materials