Less-simplified models of dark matter for direct detection and the LHC
Arghya Choudhury, Kamila Kowalska, Leszek Roszkowski, Enrico Maria, Sessolo, Andrew J. Williams

TL;DR
This paper develops less-simplified dark matter models that reveal interference effects, showing how combined collider and direct detection searches can better constrain dark matter parameter space.
Contribution
It introduces less-simplified models that incorporate interference effects, demonstrating their impact on the robustness of direct detection limits and collider search strategies.
Findings
Interference effects can suppress direct detection signals in complex models.
LHC searches can outperform direct detection in constraining certain dark matter models.
Combining multiple LHC search channels enhances sensitivity to dark matter mediators.
Abstract
We construct models of dark matter with suppressed spin-independent scattering cross section utilizing the existing simplified model framework. Even simple combinations of simplified models can exhibit interference effects that cause the tree level contribution to the scattering cross section to vanish, thus demonstrating that direct detection limits on simplified models are not robust when embedded in a more complicated and realistic framework. In general for fermionic WIMP masses >10 GeV direct detection limits on the spin-independent scattering cross section are much stronger than those coming from the LHC. However these model combinations, which we call less-simplified models, represent situations where LHC searches become more competitive than direct detection experiments even for moderate dark matter mass. We show that a complementary use of several searches at the LHC can…
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