Abstract
The CMS experiment Level-1 trigger system is undergoing an upgrade. In the barrel-endcap transition region, it is necessary to merge data from 3 types of muon detectors—RPC, DT and CSC. The Overlap Muon Track Finder (OMTF) uses the novel approach to concentrate and process those data in a uniform manner to identify muons and their transversal momentum. The paper presents the algorithm and FPGA firmware implementation of the OMTF and its data transmission system in CMS. It is foreseen that the OMTF will be subject to significant changes resulting from optimization which will be done with the aid of physics simulations. Therefore, a special, high-level, parameterized HDL implementation is necessary.
Highlights
The CMS experiment is currently undergoing upgrade of its trigger, including the Level-1 muon trigger
It is foreseen that the Overlap Muon Track Finder (OMTF) will be subject to significant changes resulting from optimization which will be done with the aid of physics simulations
Each Golden Patterns (GPs) is an object intended to represent a muon tracks with defined transverse momentum range and sign. It contains information about average track bending in the CMS magnetic field4 between consecutive detector layers and possible track deviations, represented in associated probability density functions (PDF)
Summary
The trigger design used during the LHC Run-1 utilized detector-specific muon identification algorithms: PACT Pattern Comparator for RPC [8], Drift Tube Track Finder for DT [9] and Cathode Strip Chamber Track Finder [10] for CSC. When the charged particle crosses a chamber in one of the detectors, the chamber generates a signal that must be converted to the uniform format containing the azimuthal angular position (Φ) at which the particle crossed the chamber This signal will be called a hit. Each GP is an object intended to represent a muon tracks with defined transverse momentum range and sign It contains information about average track bending in the CMS magnetic field between consecutive detector layers and possible track deviations (due to stochastic effects), represented in associated probability density functions (PDF). Within these candidates duplicates (one physical muon may result in several candidates) are removed and best candidates in terms of reconstruction quality are selected as a result of algorithm reconstruction
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