Abstract
The LHCb experiment is dedicated to the study of the c- and b-hadron decays, including long-lived particles such as Ks and strange baryons . These kind of particles are difficult to reconstruct by the LHCb tracking system since they escape detection in the first tracker. A new method to evaluate the performance of the different tracking algorithms for long-lived particles using real data samples has been developed. Special emphasis is laid on particles hitting only part of the tracking system of the new LHCb upgrade detector.
Highlights
1.1 Importance of Long-lived particlesLong-lived particles (LLPs) produced in proton-proton collisions at LHC are key for both the study of the Standard Model (SM) of particle physics and to search for new physics beyond it
The algorithms used to reconstruct both track types are different: long tracks derive from VELO seeds which are extended with hits in the T-stations [5], and the downstream tracks proceed from seeds in the T-stations [6][7] which are matched to hits in the TT [8]
A new method has been developed to evaluate the performance of downstream tracking algorithms at LHCb using real data as well as simulated one
Summary
Long-lived particles (LLPs) produced in proton-proton collisions at LHC are key for both the study of the Standard Model (SM) of particle physics and to search for new physics beyond it. Exotic LLP are predicted in many new theoretical models. Examples of these are rare radiative decays of Λ0b baryons [1] and decays of new Higgs-like bosons into πV [2]. The selection and reconstruction of LLPs at the LHCb experiment is a challenge. These particles can decay far from the primary interaction vertex and are hard to identify. Monitoring the performance of the present tracking algorithms for LLPs is key for the understanding of many physics analyses, and to be able to develop new techniques to improve the algorithms. After introducing the LHCb detector, a novel method to determine the performance of the dedicated tracking algorithms for LLPs at LHCb is explained
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