Feasibility study of the CMS first-level muon trigger track finder

Wildschek, T.

doi:10.1016/s0168-9002(00)00447-2

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…The application of FPGA circuits in TRIDAQ systems has recently become very common. There are examples of practical implementations in the data: acquisition, triggering, fast distribution and processing [22][23][24][25][26][27][28][29][30][31][32]. The FPGA matrices replace the application specific integrated circuit (ASIC) in the regions of increased radiation, like the front-end electronics and the TRIDAQ modules situated directly on the detectors.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic layer integration in FPGA-based pipeline measurement systems for HEP experiments

Poźniak¹

2007

Meas. Sci. Technol.

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Integrated triggering and data acquisition systems for high energy physics experiments may be considered as fast, multichannel, synchronous, distributed, pipeline measurement systems. A considerable extension of functional, technological and monitoring demands, which has recently been imposed on them, forced a common usage of large field-programmable gate array (FPGA), digital signal processing-enhanced matrices and fast optical transmission for their realization. This paper discusses modelling, design, realization and testing of pipeline measurement systems. A distribution of synchronous data stream flows is considered in the network. A general functional structure of a single network node is presented. A suggested, novel block structure of the node model facilitates full implementation in the FPGA chip, circuit standardization and parametrization, as well as integration of functional and diagnostic layers. A general method for pipeline system design was derived. This method is based on a unified model of the synchronous data network node. A few examples of practically realized, FPGA-based, pipeline measurement systems were presented. The described systems were applied in ZEUS and CMS.

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Section: Introductionmentioning

confidence: 99%

Diagnostic layer integration in FPGA-based pipeline measurement systems for HEP experiments

Poźniak¹

2007

Meas. Sci. Technol.

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Development and test of a prototype regional track-finder for the Level-1 trigger of the cathode strip chamber muon system of CMS

Acosta

Adams

Atamanchouk

et al. 2003

Nuclear Instruments and Methods in Physics Research Section A:

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Feasibility of the hardware muon trigger track finder processor in CMS

Wildschek

1999

IEEE Trans. Nucl. Sci.

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Abstract-This paper describes a feasibility study for the design of the muon trigger track finder processor in the high-energy physics experiment compact muon solenoid (CMS), planned for 2005, at CERN. It covers the specification, proposed method, and a prototype implementation. Comparison between several other measurement methods and the proposed one are carried out. The task of the processor is to identify muons and measure their transverse momenta and locations within 350 ns. It uses data from almost 200 000 detector cells of drift tube muon chambers. The processor searches for muon tracks originating from the interaction point by joining the track segments provided by the drift tube muon chamber electronics to full tracks. It assigns transverse momentum to each reconstructed track using the track's bend angle.Index Terms-Muon trigger, track finder, transverse momentum, VHDL hardware simulation. I. TRACK FINDER PROCESSOR ENVIRONMENTT HE detector compact muon solenoid (CMS) [1] will work at the hadron collider LHC. Protons will collide with a center of mass energy of 14 TeV. Every 25 ns a bunch crossing occurs.The detector CMS will be built around a high-field superconducting solenoid leading to a compact design for the muon spectrometer, hence the name compact muon solenoid (CMS). The solenoid has an inner radius of 3 m generating a uniform magnetic field of 4 T parallel to the beam axis. The magnetic flux is returned through a 1.8-m-thick iron yoke instrumented with muon chambers. The magnetic field in the return yoke is 1.8 T. The overall dimensions of the detector are a length of about 20 m and a diameter of 14 m.The muon detector fulfills three basic tasks: muon identification, trigger, and momentum measurement. The muon detector is placed behind the calorimeters and the magnet coil. It consists of four muon stations interleaved with the iron return yoke plates. The stations are numbered from 1 to 4 from inside out. A system of drift tubes (DT) [2] is applied in the barrel region, while cathode strip chambers (CSC) cover the forward region. In addition, resistive plate chambers (RPC) cover the entire muon detector [1]. Fig. 1 shows the -view of the detector and a muon traversing the tracker, the calorimeters, magnet coil, and muon system. The track finder processor described in this paper processes data from the drift tube system. The DT-trigger primitive generator (TPG) [2] first processes the information of the The TPG provides a position resolution of 1.25 mm in station one and two and 2.5 mm in stations three and four [3]- [7]. The choice of this input resolution to the track finder processor is motivated as follows: 1.25 mm is the finest resolution that can be provided by the TPG at reasonable expense. The track finder processor should have a fine momentum resolution at high momenta, where the complimentary RPC-based trigger suffers from a poor position resolution. The relevant quantity for momentum measurement is not the linear position, but rather the azimuthal angle. The choice of resolution give...

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Feasibility study of the CMS first-level muon trigger track finder

Cited by 3 publications

References 2 publications

Diagnostic layer integration in FPGA-based pipeline measurement systems for HEP experiments

Diagnostic layer integration in FPGA-based pipeline measurement systems for HEP experiments

Development and test of a prototype regional track-finder for the Level-1 trigger of the cathode strip chamber muon system of CMS

Feasibility of the hardware muon trigger track finder processor in CMS

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