publication . Article . 2013

Track finding in silicon trackers with a small number of layers

Moritz Nadler; Robin Glattauer; Rudolf Frühwirth; W. Mitaroff; Jakob Lettenbichler;
Open Access English
  • Published: 01 Jan 2013
  • Publisher: Nucl. Instrum. Methods Phys. Res., A
Abstract We present software based on novel techniques, aiming at track finding in silicon trackers with a small number of layers. The core algorithm is a cellular automaton, followed by a Kalman filter and a Hopfield neural network. The first of two test cases is the forward tracking detector (FTD) of the International Large Detector (ILD) at a future linear collider, which covers the forward and backward regions between beam tube and a TPC. It consists of seven disk-shaped silicon detectors (pixels and strips) on either side. Results presented on simulated events without and with background show that our method performs better than a previous one in terms of e...
arXiv: Physics::Instrumentation and Detectors
free text keywords: Detectors and Experimental Techniques, Common software tools [2], Reconstruction toolkit for HEP [2.3], Nuclear and High Energy Physics, Instrumentation, STRIPS, law.invention, law, Pixel, Silicon, chemistry.chemical_element, chemistry, B-factory, Detector, Physics, Algorithm, Software, business.industry, business, Kalman filter, Collider
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