Litcius/Paper detail

Probing dark matter freeze-in with long-lived particle signatures: MATHUSLA, HL-LHC and FCC-hh

J.M. No, P. Tunney, B. Zaldivar

2020Journal of High Energy Physics32 citationsDOIOpen Access PDF

Abstract

A bstract Collider searches for long-lived particles yield a promising avenue to probe the freeze-in production of Dark Matter via the decay of a parent particle. We analyze the prospects of probing the parameter space of Dark Matter freeze-in from the decay of neutral parent particles at the LHC and beyond, taking as a case study a freeze-in Dark Matter scenario via the Standard Model Higgs. We obtain the projected sensitivity of the proposed MATHUSLA surface detector (for MATHUSLA100 and MATHUSLA200 configurations) for long-lived particle searches to the freeze-in Dark Matter parameter space, and study its complementarity to searches by ATLAS and CMS at HL-LHC, as well as the interplay with constraints from Cosmology: Big-Bang Nucleosynthesis and Lyman- α forest observations. We then analyze the improvement in sensitivity that would come from a forward detector within a future 100 TeV pp -collider. In addition, we discuss several technical aspects of the present Dark Matter freeze-in scenario: the role of the electroweak phase transition; the inclusion of thermal masses, which have been previously disregarded in freeze-in from decay studies; the impact of 2 → 2 scattering processes on the Dark Matter relic abundance; and the interplay between freeze-in and super-WIMP Dark Matter production mechanisms.

Topics & Concepts

PhysicsDark matterParticle physicsElectroweak interactionScalar field dark matterWeakly interacting massive particlesLight dark matterParameter spacePhysics beyond the Standard ModelWarm dark matterLarge Hadron ColliderHot dark matterStandard Model (mathematical formulation)Massive particleNuclear physicsDetectorDark fluidAstrophysicsWIMPThermalBaryonic dark matterSensitivity (control systems)ScatteringMixed dark matterElementary particleBig Bang nucleosynthesisDark Matter and Cosmic PhenomenaParticle physics theoretical and experimental studiesComputational Physics and Python Applications