| 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 |
Corresponding record in: Inspire
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