A fundamental aspect of the CMS experiment’s research concerns the identification of jets produced in high energy proton-proton collisions. W and Z bosons and the Higgs boson can be produced with a high Lorentz boost and, under such conditions, their decay products can be reconstructed as large radius jets, i.e., anti-kt jets of radius 0.8 (AK8). The identification of the particle, which initiates the large radius jet, therefore plays a crucial role in distinguishing boosted particles from the dominant QCD background. Several AK8 identification algorithms, based on sophisticated machine learning techniques, have been developed by the CMS collaboration. Here an overview of them in terms of their performance and use within the collaboration will be provided.
Boosted jet identification at the CMS experiment
Troiano, D.
2025-01-01
Abstract
A fundamental aspect of the CMS experiment’s research concerns the identification of jets produced in high energy proton-proton collisions. W and Z bosons and the Higgs boson can be produced with a high Lorentz boost and, under such conditions, their decay products can be reconstructed as large radius jets, i.e., anti-kt jets of radius 0.8 (AK8). The identification of the particle, which initiates the large radius jet, therefore plays a crucial role in distinguishing boosted particles from the dominant QCD background. Several AK8 identification algorithms, based on sophisticated machine learning techniques, have been developed by the CMS collaboration. Here an overview of them in terms of their performance and use within the collaboration will be provided.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
