| CMS Note | |
| Report number | CMS-CR-2024-198 |
| Title | Identification of Lorentz-boosted jets in the CMS experiment |
| Author(s) | Troiano, Donato (INFN, Bari ; Bari U.) |
| Publication | 2024 |
| Collaboration | CMS Collaboration |
| Imprint | 16 Sep 2024 |
| Number of pages | 4 |
| Presented at | 42nd International Conference on High Energy Physics (ICHEP 2024), Prague, Czech Republic, 18 - 24 Jul 2024 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Keywords | Physics |
| Abstract | A focus of the CMS research involves identifying jets originated from quarks and gluons produced in high-energy proton-proton collisions. At the electroweak scale, resonances like the Z and W bosons, as well as the Higgs boson, are often produced with a significant Lorentz boost, causing their decay products to form large and massive jets, typically reconstructed as AK8 jets. Identifying the particle that initiates these jets is essential for distinguishing boosted bosons from the QCD background. This proceeding provides an overview of the use of boosted jet taggers in CMS, emphasizing new machine learning techniques. Additionally, it presents the validation of ML-based taggers for AK8 jets from boosted resonances decaying into b$\Bar{\text{b}}$, comparing CMS data with simulations. |
Record created 2024-09-30, last modified 2024-09-30