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The work described in this PhD thesis is a study of a real
implementation of a track-finder system which could provide
reconstructed high transverse momentum tracks to the first-level
trigger of the High Luminosity LHC upgrade of the CMS experiment.
This is vital for the future success of CMS, since otherwise it
will be impossible to achieve the trigger selectivity needed to
contain the very high event rates. The unique and extremely
challenging requirement of the system is to utilise the enormous
volume of tracker data within a few microseconds to arrive at a
trigger decision. The track-finder demonstrator described proved
unequivocally, using existing hardware, that a real-time
track-finder could be built using present-generation FPGA-based
technology which would meet the latency and performance
requirements of the future tracker. This means that more advanced
hardware customised for the new CMS tracker should be even more
capable, and will deliver very significant gains for the future
physics returns from the LHC.
The work described in this PhD thesis is a study of a real
implementation of a track-finder system which could provide
reconstructed high transverse momentum tracks to the first-level
trigger of the High Luminosity LHC upgrade of the CMS experiment.
This is vital for the future success of CMS, since otherwise it
will be impossible to achieve the trigger selectivity needed to
contain the very high event rates. The unique and extremely
challenging requirement of the system is to utilise the enormous
volume of tracker data within a few microseconds to arrive at a
trigger decision. The track-finder demonstrator described proved
unequivocally, using existing hardware, that a real-time
track-finder could be built using present-generation FPGA-based
technology which would meet the latency and performance
requirements of the future tracker. This means that more advanced
hardware customised for the new CMS tracker should be even more
capable, and will deliver very significant gains for the future
physics returns from the LHC.
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