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Long-lived particles (LLPs) are very challenging to search for with current detectors and computing requirements due to their very displaced vertices. This study evaluates the ability of the trigger algorithms used in the Large Hadron Collider beauty (LHCb) experiment to detect long-lived particles and attempts to adapt them to enhance the sensitivity of this experiment to undiscovered long-lived particles. One of the challenges in the track reconstruction is to deal with the large amount of combinatorics of hits. A dedicated algorithm has been developed to cope with the large data output. When fully implemented, this algorithm would greatly increase the efficiency for any long-lived particle reconstruction in the forward region, for the Standard Model of particle physics and beyond.
Olivier Schneider, Aurelio Bay, Guido Haefeli, Tatsuya Nakada, Frédéric Blanc, Lesya Shchutska, Elena Graverini, Donal Patrick Hill, Marie Theres Christin Bachmayer, Sebastian Schulte, Aravindhan Venkateswaran, Luis Miguel Garcia Martin, Vitalii Lisovskyi, Serhii Cholak, Federico Ronchetti, Anni Matilda Kauniskangas, Raphaël van Laak, Ettore Zaffaroni, Elisabeth Maria Niel, Pierre Paul Louis Mayencourt, Brianna Leililani Thielen, Arnaud Merlin Gauthey, Gianluca Zunica, Abdul-Kerim Guseinov, Esteban Curras Rivera, Radoslav Marchevski, Roberto Ribatti, Alexandre Brea Rodriguez, Dimitrios Kaminaris, Rita De Sousa Ataíde Da Silva
Jan Steggemann, Konstantin Androsov, Anna Mascellani, Joanna Malgorzata Wanczyk
Jan Steggemann, Konstantin Androsov, Anna Mascellani, Joanna Malgorzata Wanczyk