Sensitivity of Proton Fixed-Target Experiments to Light Dark Matter
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Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Programme
Model builders
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Abstract
Despite its remarkable success, the Standard Model of particle physics falls short of
being a completely satisfactory theory. One prominent shortcoming is its inability
to account for all the matter in the Universe, a discrepancy best explained by
the presence of dark matter. Astrophysical and cosmological observations strongly
indicate its existence, yet no non-gravitational interactions have been observed. The
persistent null result may be attributed to dark matter being lighter than previously
hypothesised, allowing it to have gone unnoticed in previous searches. This has
driven growing interest in accelerator-based experiments, particularly fixed-target
experiments. In this thesis, light dark matter (LDM) is investigated at proton
fixed-target experiments, focusing on a minimal dark sector model with complex
scalar dark matter and a dark vector mediator. Using the MadDump plugin to
the MadGraph5_aMC@NLO framework, the sensitivity of the primary dark matter
production channels is studied for the forthcoming experiments SHiP and DUNE
ND, as well as the operational NOνA ND. In particular, the newly approved SHiP
design and different operational modes of DUNE ND are considered. Additionally,
a new secondary production channel in the form of photoproduced vector meson
decay is considered, with the analysis performed largely analytically. This channel
has recently been shown to enhance sensitivity in electron beam experiments. Here,
no such enhancement is observed. The origin of this difference is not yet fully
understood, with possible explanations including an insufficient flux of high-energy
photons in the processes considered and a potential overestimation of dark photon
production in the primary channel.
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Keywords
Light Dark Matter (LDM), Dark Photon (DP), Proton Beam Experiment, Photoproduction, SHiP, DUNE ND, NOνA ND, MadDump, Beyond the Standard Model (BSM).
