10-15 July 2022
Collegium Maius & Theranostics Center
Europe/Warsaw timezone

Unsupervised learning for pixel mask clustering and cluster tracking in LHCb’s Velopix sensor calibration

14 Jul 2022, 15:55
15m
Collegium Novodvorscianum

Collegium Novodvorscianum

St Anna 12 Street, Kraków

Speaker

Maciej Majewski; AGH University of Science and Technology, Poland

Description

The VELO detector is one of the core elements of the LHCb spectrometer. Its1
upcoming upgrade will consist of a new type of Velopix sensor. It branches from a2
Medipix family of silicon pixel matrix sensors. One of its operational challenges3
with future data taking at the Large Hadron Collider will be the ability to detect4
faulty (masked) pixels and monitor them. In this work, we propose a method for5
clustering the faulty pixels and tracking the progression of the clusters in time. We6
compare two methods of clustering (DBSCAN and OPTICS) and their influence7
on the proposed tracking method, using a simulated dataset of masked pixels.

Presentation Materials