The VeloPix upgrade for the LHCb experiment: The automation and extension of the equalisation process for the pixel noise matrix

Bakker, Senne (2021) The VeloPix upgrade for the LHCb experiment: The automation and extension of the equalisation process for the pixel noise matrix. Bachelor's Thesis, Physics.

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Abstract

The Large Hadron Collider (LHCb) experiment investigates the beauty quark, with as ultimate purpose to understand the small differences in matter and anti-matter. The LHCb project is getting a new detector that is able to more accurately identify particles produced in collision events. This new silicon pixel detector (VELO) needs to be calibrated to avoid background noise. This can be done by adjusting a certain fine-tuning parameter, which is adjustable for every single pixel. The fine-tuning parameter can take an integer value between 0 and 15 and thus allows us to adjust the amount of signal amplification and thus also the threshold at which the electronics noise of the pixel becomes measurable. Normally, the procedure is as follows: two scans are performed of the operational threshold to measure the pixel noise, typically with the fine-tuning parameters set to 0 and 15. Based on this information, the optimal value for the fine-tuning parameter of each pixel is calculated to equalise the noise responses of the whole pixel matrix as much as possible. However, it is not known how the pixel noise behaves when different values are taken as the input. The goal of this research project is to adjust and extend the algorithm that calculates the ideal value for the fine-tuning parameter. This algorithm takes a scan and its corresponding fine-tuning parameter values as input and returns the optimal value for the fine structure parameter, based on that information.

Item Type:	Thesis (Bachelor's Thesis)
Supervisor name:	De Bruyn, K.A.M. and Onderwater, C.J.G.
Degree programme:	Physics
Thesis type:	Bachelor's Thesis
Language:	English
Date Deposited:	30 Jun 2021 09:23
Last Modified:	30 Jun 2021 09:23
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/24830

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