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Lorenzo Pica

Publications and source records attributed to Lorenzo Pica.

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Seeding and Matching algorithms for the first GPU-based High Level Trigger of the LHCb experiment

We describe the GPU implementation of the Seeding and Matching algorithms, developed for the first level trigger of the LHCb experiment and key to reconstruct long and very displaced tracks at 40 MHz. The algorithms have been participating in the data taking during the full Run 3 of LHCb with a very high throughput, increasing the physics reach of the experiment. The Seeding is a standalone pattern recognition algorithm aiming at finding charged particle trajectories in the most forward tracker of LHCb. These trajectories are then extrapolated backward by the Matching algorithm which combines them with stubs formed from hits in the first tracker in order to form what we call Long tracks. Hits in the second tracker are then searched for to better define the trajectory and improve the track momentum resolution. This backward approach, complementary to the approach of extrapolating the stubs in the first detector to the forward tracker through the magnetic field, improves the Long track efficiency at low transverse momenta, increasing the potential of key physics decay channels.

physics.ins-det

Selecting long-lived particles in the first trigger level at the LHC

The LHCb experiment is starting to take data in Run 3 with a new DAQ system, capable of performing complete event reconstruction at the full LHC collision rate. One novel opportunity offered by this system is triggering on long-lived particles (LLPs) at the very first stage of the trigger. This could potentially increase trigger efficiency for LLPs, typically suffering from low online detection efficiency at hadron collider experiments, because of their decay signatures. We investigated the feasibility and effectiveness of an early LLP-triggering approach in LHCb with the implementation of two LLP-dedicated selections in the first trigger level (HLT1), targeting the presence of either one, or two, $K^0_S$ decays. Selection tuning is performed on simulation, targeting some benchmark channels with $K^0_S$ particles in the final state, as $D^0 \rightarrow K^0_S K^0_S$ and $B^0 \rightarrow K^0_S K^0_S$. Tests ran on simulated samples predict a large increase in selection efficiency, up to 2.6x for the $D^0 \rightarrow K^0_S K^0_S$ channel, at the price of a very modest increase of HLT1 computational load and trigger rate. These selections were implemented in the GPU-based HLT1 trigger sequence, and took data during the physics data-taking LHCb run in year 2022. In this document, we present results obtained from these first data, yielding good quality $K^0_S$ and $K^0_S$-pair samples even from a very limited integrated luminosity. We conclude with a discussion of the physics prospects opened by these new triggers, and their planned extension to tracks decaying outside the volume of the VELO subdector ("downstream tracks") to further extend their acceptance.

hep-ex

Review of opportunities for new long-lived particle triggers in Run 3 of the Large Hadron Collider

Long-lived particles (LLPs) are highly motivated signals of physics Beyond the Standard Model (BSM) with great discovery potential and unique experimental challenges. The LLP search programme made great advances during Run 2 of the Large Hadron Collider (LHC), but many important regions of signal space remain unexplored. Dedicated triggers are crucial to improve the potential of LLP searches, and their development and expansion is necessary for the full exploitation of the new data. The public discussion of triggers has therefore been a relevant theme in the recent LLP literature, in the meetings of the LLP@LHC Community workshop and in the respective experiments. This paper documents the ideas collected during talks and discussions at these Workshops, benefiting as well from the ideas under development by the trigger community within the experimental collaborations. We summarise the theoretical motivations of various LLP scenarios leading to highly elusive signals, reviewing concrete ideas for triggers that could greatly extend the reach of the LHC experiments. We thus expect this document to encourage further thinking for both the phenomenological and experimental communities, as a stepping stone to further develop the LLP@LHC physics programme.

hep-ex