| CMS Note | |
| Report number | CMS-NOTE-2024-009 ; CERN-CMS-NOTE-2024-009 |
| Title | Lepton energy scale and resolution corrections based on an analytical likelihood approach |
| Author(s) | Couderc, Fabrice (IRFU, Saclay) ; Gaigne, Paul (IRFU, Saclay) ; Sahin, Ozge (Cukurova U.) |
| Publication | 2024 |
| Imprint | 12 Jul 2024 |
| Number of pages | 14 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Keywords | ECAL ; Physics ; Physics Performance and Dataset |
| Abstract | In this document, we describe a new approach to obtain the energy scale and resolution correction based on the minimization of an analytical likelihood. The energy resolution effect is incorporated with an analytical approach. This allows to carry out the minimization using the Tensorflow library and in particular its automatic differentiation capabilities. We review the description of the analytical likelihood, the validation of the tool, the potential biases and solutions when the scale and resolution are measured versus the energy itself. |
Записът е създаден на 2024-12-16, последна промяна на 2024-12-17