The CMS Silicon Strip Tracker is the largest detector of its kind ever operated, with a silicon surface area of about 200 m 2 . The Silicon Strip Tracker is the sub-detector with the highest number ...of detector modules within the CMS experiment. Given the complexity of the device, a variety of tools were developed and are used to determine the status of the detector in real time and allow for data qualification and corrective actions when needed. In this paper we describe the monitoring techniques that are used to safely operate the detector and assess the state of its calibration.
We performed a study of charge collection distance (CCD) on medium to high-quality prototypes of diamond sensors prepared by Chemical Vapor Deposition (CVD). We studied the Charge Collection ...Efficiency in these materials supposing that it is limited by the presence of a recombination level and a distribution of trap levels centered at
1.7
eV
from the band-edge. We also supposed that the exposition to ionizing radiation can make the trap levels ineffective (
pumping effect). We have shown that these assumptions are valid by correlating the CCD to the pumping efficiency. Moreover, we have shown that the pumping efficiency is bias-dependent. We have explained our experimental results assuming that trapped carriers generate an electric field inside the diamond bulk.
The CMS silicon strip tracker, providing a sensitive area of approximately 200 m2 and comprising 10 million readout channels, has recently been completed at the tracker integration facility at CERN. ...The strip tracker community is currently working to develop and integrate the online and offline software frameworks, known as XDAQ and CMSSW respectively, for the purposes of data acquisition and detector commissioning and monitoring. Recent developments have seen the integration of many new services and tools within the online data acquisition system, such as event building, online distributed analysis, an online monitoring framework, and data storage management. We review the various software components that comprise the strip tracker data acquisition system, the software architectures used for stand-alone and global data-taking modes. Our experiences in commissioning and operating one of the largest ever silicon micro-strip tracking systems are also reviewed.
The CMS Silicon Strip Tracker at the LHC comprises a sensitive area of approximately 200 m2 and 10 million readout channels. Its data acquisition system is based around a custom analogue front-end ...chip. Both the control and the readout of the front-end electronics are performed by off-detector VME boards in the counting room, which digitise the raw event data and perform zero-suppression and formatting. The data acquisition system uses the CMS online software framework to configure, control and monitor the hardware components and steer the data acquisition. The first data analysis is performed online within the official CMS reconstruction framework, which provides many services, such as distributed analysis, access to geometry and conditions data, and a Data Quality Monitoring tool based on the online physics reconstruction. The data acquisition monitoring of the Strip Tracker uses both the data acquisition and the reconstruction software frameworks in order to provide real-time feedback to shifters on the operational state of the detector, archiving for later analysis and possibly trigger automatic recovery actions in case of errors. Here we review the proposed architecture of the monitoring system and we describe its software components, which are already in place, the various monitoring streams available, and our experiences of operating and monitoring a large-scale system.
Due to its excellent electrical and physical properties, silicon carbide can represent a good alternative to Si in applications like the inner tracking detectors of particle physics experiments ...(RD50, LHCC 2002–2003, 15 February 2002, CERN, Ginevra). In this work p
+/n SiC diodes realised on a medium-doped (1×10
15
cm
−3), 40
μm thick epitaxial layer are exploited as detectors and measurements of their charge collection properties under β particle radiation from a
90Sr source are presented. Preliminary results up to 900
V reverse bias voltage show a good collection efficiency of 1700e
− and a collection length (ratio between collected charge and generated e–h pairs/μm) equal to the estimated width of the depleted region. Preliminary simulations on Schottky diodes have been carried out using the ISE-TCAD DESSIS simulation tool. Experimental results were reproduced well.
The consolidation and upgrade of the LHC accelerators complex is expected to yield a progressive increase in peak luminosity L, exceeding the value of L = 1034 cm−2 s−1 (original design figure) after ...about 5 years of operation, to eventually reach values close to L = 1035 cm−2 s−1 (the so-called Super-LHC). All the experiments will have to make some upgrades to be able to operate at Super-LHC. This article makes a short review of the CMS tracker sub-detector research activities in this direction: we will show the time framework of the evolution plan of LHC, what are the limiting factors of the present-day detector and which requirements come from the luminosity upgrade. We will also describe the main results of the research activities already in place in the field of: sensors, power supply, cooling, layout design and simulations.
The CMS Silicon Strip Tracker is the largest detector of its kind ever operated, with about 200 m 2 of silicon surface. The Silicon Strip Tracker it is the sub-detector with the highest number of ...detector modules within CMS. Given the complexity of the device, a variety of tools was developed and is used to measure the status of the detector in real time and allow for data qualification and corrective actions when needed. In this paper we describe the monitoring techniques that are used to safely operate the detector and assess the state of its calibration.
The CMS experiment at LHC features the largest Silicon Strip Tracker (SST) ever built. This detector is composed of about 15000 modules, thus the potential problems of the system comes from its ...complexity. This article covers the tests performed during the tracker integration, describing their motivations in terms of process quality assurance.
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