Conveners
W3-1 New Physics and Dark Sector (DTP/PPD) | Nouvelle physique et secteur sombre (DPT/PPD)
- Evan McDonough
- Matthias Danninger (Simon Fraser University (CA))
The nature of Dark Matter is an ongoing and relevant object of study in astroparticle physics. Despite our best efforts to identify its possible particle properties, the results have been null, which has led to a plethora of models describing viable connections to the Standard Model. In particular, loop models of Dark Matter, for example the scotogenic model, have received attention in the...
Detectors with low thresholds for electron recoil open a new window to direct searches of sub-GeV dark matter (DM) candidates. In the past decade, many strong limits on DM-electron interactions have been set, but most on the one which is spin-independent (SI) of both dark matter and electron spins. In this work, we study DM-atom scattering through a spin-dependent (SD) interaction at leading...
Augmenting MSSM by an Abelian $U(1)^\prime$ gauge symmetry offers a viable solution to the $\mu$ problem in supersymmetry. Unfortunately, in most instances, collider phenomenology of such models is limited by stringent limits on the $Z^\prime$ boson mass from the ATLAS and CMS collaborations. Here we investigate possibilities of lowering the mass in either leptophobic models, by employing...
Experiments using proton beams at high luminosity colliders and fixed-target facilities provide impressive sensitivity to new light weakly coupled degrees of freedom. With these experiments in mind, we revisit the production of dark vectors and scalars via proton bremsstrahlung, making use of a model that describes the underlying nucleon scattering cross-section in the forward direction due to...
The MoEDAL Apparatus for Penetrating Particles (MAPP) Experiment is designed to extend the searches for new physics at the LHC carried out by the baseline Monopole and Exotics Detector at the LHC (MoEDAL) Experiment. The recently approved Phase-I MAPP detector (MAPP-mCP) is on schedule for deployment this year and set to begin data taking in spring 2023. This independent detector system,...
