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Abstract |
LHCb has introduced a novel real-time detector alignment and calibration strategy for LHC Run 2.
Data collected at the start of the fill is processed in a few minutes and used to update the alignment,
while the calibration constants are evaluated for each run. This procedure will improve the quality
of the online alignment. Critically, this new real-time alignment and calibration procedure allows
identical constants to be used in the online and offline reconstruction, thus improving the correlation
between triggered and offline selected events. This offers the opportunity to optimise the event
selection in the trigger by applying stronger constraints. The required computing time constraints
are met thanks to a new dedicated framework using the multi-core farm infrastructure for the trigger.
This combined to the improved tracking sequence allows to run in the software trigger the same
reconstruction with the same performance as offline. Specific challenges of this novel configuration
are discussed, as well as the working procedures of the framework and its performance. A similar
scheme is planned to be used in the LHCb upgrade foreseen for 2020. At that time LHCb will run
at an instantaneous luminosity of 2x10ˆ33 cmˆ-2 sˆ-1 with a fully software based trigger with a
read-out of the detector at a rate of 40 MHz. A full new tracking system is being developed: a vertex
detector based on silicon pixel sensors, a new silicon micro-strip detector with a high granularity and
the scintillating fibre tracker. The new tighter time constraint in the trigger, where only about 13ms
are available per event, combined with a higher luminosity by a factor 5 represent a big challenge for
the tracking. A new track finding strategy has been considered and new algorithms, partly based on
GPUs, and using SIMD instructions are under study. We will present the new strategy and the new
fast track reconstruction, including the performance and the highlights of the improvements with
respect to the current tracking system of LHCb.
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