Low mass neutralino dark matter in mSUGRA and more general models in the light of LHC data
Nabanita Bhattacharyya, Arghya Choudhury, Amitava Datta

TL;DR
This paper investigates the compatibility of low mass neutralino dark matter with LHC data, showing that generic models can reconcile both, unlike the constrained mSUGRA model which faces conflicts.
Contribution
It demonstrates that less constrained SUSY models can accommodate low mass neutralino dark matter consistent with LHC and WMAP data, unlike traditional mSUGRA.
Findings
mSUGRA strongly disfavours LMNDM due to LHC constraints
Generic phenomenological models can reconcile LMNDM with LHC data
Proposed models predict observable signals and are testable by dark matter experiments
Abstract
The signal at the ongoing LHC experiments is simulated with Pythia in the mSUGRA and other models of SUSY breaking. Special attention is given on the compatibility of this signature with the low mass neutralino dark matter (LMNDM) scenario consistent with WMAP data. In the mSUGRA model the above signal as well as the LMNDM scenario are strongly disfavoured due to the constraints from the on going SUSY searches at the LHC. This tension, however, originates from the model dependent correlations among the parameters in the strong and electroweak sectors of mSUGRA. That there is no serious conflict between the LMNDM scenario and the LHC data is demonstrated by constructing generic phenomenological models such that the strong sector is unconstrained or mildly constrained by the existing LHC data and parameters in the electroweak sector, unrelated to the strong sector,yield…
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