TY  - JOUR
AU  - Calefice, L.
AU  - Hennequin, A.
AU  - Henry, L.
AU  - Jashal, B. K.
AU  - Mendoza, D.
AU  - Oyanguren, A.
AU  - Sanderswood, I.
AU  - Sierra, C. V.
AU  - Zhuo, J. H.
PY  - 2022
DA  - 2022//
TI  - Effect of the high-level trigger for detecting long-lived particles at LHCb
T2  - Front. Big Data
JO  - Frontiers in Big Data
SP  - 1008737
EP  - 13pp
VL  - 5
PB  - Frontiers Media Sa
KW  - LHCb
KW  - trigger
KW  - real time analysis
KW  - long-lived particles
KW  - GPU
KW  - SciFi
KW  - beyond standard physics
AB  - Long-lived particles (LLPs) show up in many extensions of the Standard Model, but they are challenging to search for with current detectors, due to their very displaced vertices. This study evaluated the ability of the trigger algorithms used in the Large Hadron Collider beauty (LHCb) experiment to detect long-lived particles and attempted to adapt them to enhance the sensitivity of this experiment to undiscovered long-lived particles. A model with a Higgs portal to a dark sector is tested, and the sensitivity reach is discussed. In the LHCb tracking system, the farthest tracking station from the collision point is the scintillating fiber tracker, the SciFi detector. One of the challenges in the track reconstruction is to deal with the large amount of and combinatorics of hits in the LHCb detector. A dedicated algorithm has been developed to cope with the large data output. When fully implemented, this algorithm would greatly increase the available statistics for any long-lived particle search in the forward region and would additionally improve the sensitivity of analyses dealing with Standard Model particles of large lifetime, such as KS0 or Lambda (0) hadrons.
UR  - https://doi.org/10.3389/fdata.2022.1008737
DO  - 10.3389/fdata.2022.1008737
LA  - English
N1  - WOS:000889005000001
ID  - Calefice_etal2022
ER  -