September 28, 2015 to October 2, 2015
Europe/Zurich timezone

The CMS Level-1 Trigger Barrel Track Finder

Sep 30, 2015, 5:19 PM
Hall of Civil Engineering (Lisbon)

Hall of Civil Engineering


IST (Instituto Superior Técnico ) Alameda Campus Av. Rovisco Pais, 1 1049-001 Lisboa Portugal
Poster Trigger Poster


Nikitas Loukas (University of Ioannina (GR))


The CMS Drift Tube Track Finder (DTTF) is being upgraded to a uTCA system, called Muon Barrel Track Finder (MBTF), so that it can cope with the high backgrounds which are expected at high luminosity and high pile-up. This upgrade which further improves the reliability of the system will be commissioned for the LHC RUN-II. In contrast to the DTTF, the MBTF receives muon super-primitives which are produced from both the DT and RPC detectors of the barrel region. The upgrade program of the barrel involves two stages.


A two stage upgrade of the MBTF is foreseen. In the first stage the barrel track-finding hardware platform is upgraded using twelve MP7 cards employing Xilinx Virtex-7 FPGAs which can receive and transmit data at 10 Gb/s from 72 input and 72 output fibers. In contrast to the legacy DDTF system the trigger primitives for the MBTF are formed using both DT and RPC data (BMTF super-primitives). However, the legacy track finding algorithms are used on the MP7 processors. The new framework results in a far more robust trigger system which is expected to perform better than the legacy system. Most importantly, the hardware capabilities in terms of algorithm capacity and speed have been dramatically enhanced so that this system becomes ready for the algorithm (firmware) upgrade which will come later during the second stage. To study the performance of the MBTF, simulation and real data have been used. Events from Monte Carlo simulation with muon tracks have been injected at the inputs of the MBTF. The results at the output of the MBTF have been compared with those of the C++ emulator model to study the performance of the hardware. Furthermore the new electronics have been implemented to a slice of the RPC and DT detector and cosmic ray and pp data have also been used to study tin detail performance of the new system.
During the second stage, when results from algorithm studies at high luminosity and high pile-up are finalized, the algorithm firmware will be upgraded to enhance the system capabilities. The data-distribution and the design of the algorithms which will handle the super-primitive data will depend on results from studies, which have started.

Primary author

Nikitas Loukas (University of Ioannina (GR))


Andrea Triossi (CERN) Claudia Wulz (Austrian Academy of Sciences (AT)) Costas Fountas (University of Ioannina (GR)) Evangelos Paradas (University of Ioannina (GR)) Giannis Flouris (University of Ioannina (GR)) Ioannis Papadopoulos (University of Ioannina (GR)) Janos Ero (Austrian Academy of Sciences (AT)) Luigi Guiducci (Universita e INFN Bologna (IT)) Nikos Manthos (University of Ioannina (GR))

Presentation materials