Početna stranica > Perturbative benchmark models for a dark shower search program |
Article | |
Report number | arXiv:2103.01238 |
Title | Perturbative benchmark models for a dark shower search program |
Author(s) | Knapen, Simon (CERN) ; Shelton, Jessie (Illinois U., Urbana) ; Xu, Dong (Illinois U., Urbana) |
Publication | 2021-06-12 |
Imprint | 2021-03-01 |
Number of pages | 20 |
Note | 17 pages, 10 figures, python code available at https://gitlab.com/simonknapen/dark_showers_tool Journal version. Compared to v1, a conceptual error was corrected related to the interpretation of the pythia hadronization module. Conclusions unchanged |
In: | Phys. Rev. D 103 (2021) 115013 |
DOI | 10.1103/PhysRevD.103.115013 |
Subject category | hep-ph ; Particle Physics - Phenomenology |
Abstract | We provide five benchmark hidden valley models with perturbative parton showers, which span a wide range of dark shower phenomenology. We consider production through an $s$-channel, heavy mediator, which can be identified with the SM Higgs. By assuming a set of well-motivated decay portals, one can moreover fix both the branching ratios of the dark mesons and set a lower bound on their lifetime. We provide a public python tool which can be used to generate self-consistent PYTHIA 8 cards for our benchmark models. |
Copyright/License | preprint: (License: CC-BY-4.0) publication: © 2021-2024 authors (License: CC-BY-4.0), sponsored by SCOAP³ |