Speaker
Dr
Martin Krauss
(CHALMERS UNIVERSITY OF TECHNOLOGY)
Description
We develop a method to forecast the outcome of the LHC Run 3 based on the
hypothetical detection of O(100) signal events at XENONnT. Our method relies on a
systematic classification of renormalisable single-mediator models for dark matter-
quark interactions, and is valid for dark matter candidates of spin less than or equal
to one. Applying our method to simulated data, we find that at the end of the LHC
Run 3 only two mutually exclusive scenarios would be compatible with the detection
of O(100) signal events at XENONnT. We therefore conclude that the observation of
such a direct detection signal combined with the detection, or the lack of detection,
of a mono-jet signal at the LHC Run 3 would significantly narrow the range of
possible dark matter-nucleon interactions. As we will also discuss, it can
furthermore provide key information on the dark matter particle spin.
Primary author
Dr
Martin Krauss
(CHALMERS UNIVERSITY OF TECHNOLOGY)
