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A neural network clustering algorithm for the ATLAS silicon pixel detector

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Figure 1. Geometry of the ATLAS pixel detector. There are three concentric cylindrical barrel layers and three discs on each side, all are equipped with identical pixel modules.
Figure 2. Illustration of cluster sizes in the transverse direction for selected scenarios: (a) a single charged particle traversing the silicon sensor with incident angle, φ , producing a cluster with a width of two pixels.
Figure 4 shows the average separation in the transverse (hδ x min i) and longitudinal (hδ y min i) direction of the two closest stable charged particles in jets, at the radius of the innermost pixel layer in the barrel
Figure 4. Average separation between the two closest charged particles in a jet in the transverse (< δ x min >, open squares) and longitudinal (< δ y min >, full circles) direction at the innermost layer of the pixel barrel.
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The contribution is the result of a study carried out at the Department of Architecture of the Polytechnic School of the University of Palermo, aimed at identifying, reviewing