An accurate prediction of LHCb's Vertex Locator pixel noise

Vos, Max (2021) An accurate prediction of LHCb's Vertex Locator pixel noise. Bachelor's Thesis, Physics.

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Abstract

The new silicon pixel Vertex Locator used by the LHCb experiment at CERN has thousands of pixels. Each pixel uses a current to detect a passing particle. At low currency, the pixels have noise. Each pixel has its noise at a slightly different location. The single threshold used to differentiate between noise and particles is therefore not suitable for all pixels. The pixels must first be equalized by the use of sixteen different trim levels. The trim levels can be set on each pixel and shift the noise location. Before the right trim level can be applied the noise location on each trim level must be predicted. At this moment, the noise on the outermost trim levels is measured, and the rest is linearly interpolated between them. In this thesis, I find out that this approximation is not optimal and that it misses important complexity. I explore better approximation methods and find that the approximation is much improved when four trim levels are measured instead of two.

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:	29 Jun 2021 11:19
Last Modified:	29 Jun 2021 11:19
URI:	https://fse.studenttheses.ub.rug.nl/id/eprint/24770

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