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Published June 21, 2019 | Submitted
Report Open

Simplified Models for Dark Matter and Missing Energy Searches at the LHC

Abstract

The study of collision events with missing energy as searches for the dark matter (DM) component of the Universe are an essential part of the extensive program looking for new physics at the LHC. Given the unknown nature of DM, the interpretation of such searches should be made broad and inclusive. This report reviews the usage of simplified models in the interpretation of missing energy searches. We begin with a brief discussion of the utility and limitation of the effective field theory approach to this problem. The bulk of the report is then devoted to several different simplified models and their signatures, including s-channel and t-channel processes. A common feature of simplified models for DM is the presence of additional particles that mediate the interactions between the Standard Model and the particle that makes up DM. We consider these in detail and emphasize the importance of their inclusion as final states in any coherent interpretation. We also review some of the experimental progress in the field, new signatures, and other aspects of the searches themselves. We conclude with comments and recommendations regarding the use of simplified models in Run-II of the LHC.

Additional Information

TGR work was funded under the Department of Energy, Contract DE-AC02-76SF00515. SS is supported by funds from the Natural Sciences and Engineering Research Council (NSERC) of Canada and by the W. Garfield Weston Foundation. TV and EE are supported in part by the Israel Science Foundation, the US-Israel Binational Science Foundation, and by the I-CORE Program of the Planning Budgeting Committee and the Israel Science Foundation (grant NO 1937/12). TV is also supported by the EU-FP7 Marie Curie, CIG fellowship. IY is supported in part by funds from the NSERC of Canada. This research was supported in part by Perimeter Institute for Theoretical Physics.

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Created:
August 20, 2023
Modified:
October 20, 2023