Speaker
Description
The upgraded LHCb experiment is pioneering the landscape of real-time data-processing using an heterogeneous computing infrastructure. For the first time at any LHC experiment, bidimensional clusters of active pixels on the silicon vertex detector are reconstructed with a real-time FPGA-based architecture before event-building, directly at detector readout, at a rate of ~30MHz. In addition to saving HLT1 computing resources and reducing the DAQ bandwidth, the availability of particle hits at the readout level opens up the possibility of further processing aimed at reconstructing more complex quantities. We leverage this architecture to measure and track the collider luminosity and the geometrical properties of the luminous region in real time. For such purpose, a set of programmable counters has been implemented in firmware. These counters uses minimal FPGA resources and are analysed to provide luminosity and beam spot position, shape and inclination. These quantities are computed in real time on the LHCb slow control software. This method differs substantially from the usual techniques relying on track and vertex reconstruction, prone to misalignment biases and dependent on the HLT. In this contribution, we describe the technical implementation of such a system and report the results obtained with real data collected in 2024-2025.
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