A low material budget silicon demonstrator has been tested by the SLIMS collaboration with 12 GeV/c protons at the PS-T9 beam line at CERN. Two devices were placed inside a reference telescope and their characteristics were measured. The first was a 4k-Pixel Matrix of Deep N Well MAPS, developed in a 130 nm CMOS technology, providing digital sparsified readout. The other one was a high resistivity double-sided silicon detector, with short strips at a 45 degrees angle to the detector's edge, read out by the FSSR2 chip. In this paper we describe the main features of both sensors. The primary goal of the test was to measure the efficiency and the resolution of the DUTs under different conditions of threshold setting and incident angle of the impinging particles. The data-driven approach of the readout chips has been fully exploited by the DAQ system to take data with a track-based level-1 trigger provided by a pattern matching algorithm with very low latency. (C) 2010 Elsevier B.V. All rights reserved.

The SLIM5 low mass silicon tracker demonstrator RID C-9883-2009 RID H-3035-2011

LUSIANI, Alberto;
2010

Abstract

A low material budget silicon demonstrator has been tested by the SLIMS collaboration with 12 GeV/c protons at the PS-T9 beam line at CERN. Two devices were placed inside a reference telescope and their characteristics were measured. The first was a 4k-Pixel Matrix of Deep N Well MAPS, developed in a 130 nm CMOS technology, providing digital sparsified readout. The other one was a high resistivity double-sided silicon detector, with short strips at a 45 degrees angle to the detector's edge, read out by the FSSR2 chip. In this paper we describe the main features of both sensors. The primary goal of the test was to measure the efficiency and the resolution of the DUTs under different conditions of threshold setting and incident angle of the impinging particles. The data-driven approach of the readout chips has been fully exploited by the DAQ system to take data with a track-based level-1 trigger provided by a pattern matching algorithm with very low latency. (C) 2010 Elsevier B.V. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11384/5715
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