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Title: Identifying dark matter interactions in monojet searches

Journal Article · · Journal of High Energy Physics (Online)
 [1];  [2]
  1. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  2. Michigan State Univ., East Lansing, MI (United States)

We study the discrimination of quark-initiated jets from gluon-initiated jets in monojet searches for dark matter using the technique of averaged jet energy profiles. We demonstrate our results in the context of effective field theories of dark matter interactions with quarks and gluons, but our methods apply more generally to a wide class of models. Different effective theories of dark matter and the standard model backgrounds each have a characteristic quark/gluon fraction for the leading jet. When used in conjunction with the traditional cut-and-count monojet search, the jet energy profile can be used to set stronger bounds on contact interactions of dark matter. In the event of a discovery of a monojet excess at the 14 TeV LHC, contact interactions between dark matter with quarks or with gluons can be differentiated at the 95% confidence level. For a given rate at the LHC, signal predictions at direct detection experiments for different dark matter interactions can span five orders of magnitude. Lastly, the ability to identify these interactions allows us to make a tighter connection between LHC searches and direct detection experiments.

Research Organization:
Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1155853
Report Number(s):
MSU--16122013; arXiv eprint number arXiv:1312.5325
Journal Information:
Journal of High Energy Physics (Online), Journal Name: Journal of High Energy Physics (Online) Journal Issue: 5 Vol. 2014; ISSN 1029-8479
Publisher:
Springer BerlinCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (10)

Non-standard neutrino interactions and low energy experiments journal September 2019
Dirac-fermionic dark matter in U(1)X models journal October 2015
Distinguishing dijet resonances at the LHC journal March 2015
Probing the Higgs boson-gluon coupling via the jet energy profile at e + e − colliders journal October 2018
Quark-gluon tagging: Machine learning vs detector journal January 2019
Probing the Higgs boson-gluon coupling via the jet energy profile at $e^+e^-$ colliders text January 2018
Distinguishing Di-jet Resonances at the LHC text January 2014
Dirac-Fermionic Dark Matter in $U(1)_X$ Models preprint January 2015
Non-standard neutrino interactions and low energy experiments text January 2018
Quark-Gluon Tagging: Machine Learning vs Detector text January 2018

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