Conveners
DM VII
- Pouya Asadi (Massachusetts Institute of Technology)
The Belle II experiment at the asymmetric $e^+e^-$ collider, SuperKEKB, is a substantial upgrade of the Belle/KEKB experiment. Belle II aims to record 50 ab$^{-1}$ of data over the course of the project. During the first physics runs in 2018-2020, around 100 fb$^{-1}$ of data were collected. These early data include specifically-designed low-multiplicity triggers which allow a variety of...
We study the prospects for probing models of inelastic dark matter (iDM) at the Fermilab-based Short Baseline Neutrino (SBN) experiments. In iDM models, elastic scattering of dark matter is suppressed, but the dark matter has an inelastic interaction with a slightly heavier excited dark sector state. The high-intensity Booster and NuMI proton beams can produce dark sector states in the MeV to...
Accelerator-based searches for dark matter provide a unique opportunity to expand the search for particle dark matter to the sub-GeV mass regime.
In this region, there are exiting opportunities to search for dark sector signatures, mediators and the dark matter itself, that are unconstrained.
DarkQuest is a proton fixed-target experiment that would use a high-intensity beam of 120 GeV...
The constituents of dark matter are still unknown, and the viable possibilities span a very large mass range. Specific scenarios for the origin of dark matter sharpen the focus on a narrower range of masses: the natural scenario where dark matter originates from thermal contact with familiar matter in the early Universe requires the DM mass to lie within about an MeV to 100 TeV. Considerable...
We present exoplanets as new targets to discover Dark Matter (DM). Throughout the Milky Way, DM can scatter, become captured, deposit annihilation energy, and increase the heat flow within exoplanets. We estimate upcoming infrared telescope sensitivity to this scenario, finding actionable discovery or exclusion searches. Supporting evidence of a DM...
The Gaia satellite will observe the positions and velocities of over a billion Milky Way stars. In the early data releases, the majority of observed stars do not have complete 6D phase-space information. We demonstrate the ability to infer the missing line-of-sight velocities until more spectroscopic observations become available. We utilize a novel neural network architecture that, after...
