| Preprint | |
| Report number | CERN-TH-2024-200 ; IPPP/24/73 ; arXiv:2411.11651 |
| Title | A Cell Resampler study of Negative Weights in Multi-jet Merged Samples |
| Author(s) | Andersen, Jeppe R. (Durham U. (main) ; CERN) ; Cueto, Ana (U. Autonoma, Madrid (main)) ; Jones, Stephen P. (Durham U. (main)) ; Maier, Andreas (Barcelona, IFAE ; Barcelona, Autonoma U.) |
| Document contact | Contact: arXiv |
| Imprint | 2024-11-18 |
| Number of pages | 11 |
| Subject category | hep-ex ; Particle Physics - Experiment ; hep-ph ; Particle Physics - Phenomenology |
| Abstract | We study the use of cell resampling to reduce the fraction of negatively weighted Monte Carlo events in a generated sample typical of that used in experimental analyses. To this end, we apply the Cell Resampler to a set of $pp \rightarrow \gamma \gamma + \mathrm{jets}$ shower-merged NLO matched events, describing the diphoton background to Higgs boson production, generated using the FxFx and MEPS@NLO merging procedures and showered using the Pythia and Sherpa parton shower algorithms. We discuss the impact on various kinematic distributions. |
| Other source | Inspire |
| Copyright/License | preprint: (License: CC BY 4.0) |
Record creato 2024-11-20, modificato l'ultima volta il 2024-11-22