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Title: Vector dark matter at the LHC

Journal Article · · Physical Review. D, Particles, Fields, Gravitation and Cosmology
 [1];  [1];  [2]
  1. Univ. of Hawaii, Honolulu, HI (United States)
  2. Univ. of Arizona, Tucson, AZ (United States); Univ. of Maryland, College Park, MD (United States)

We consider monojet searches at the Large Hadron Collider (LHC) for spin-1 dark matter that interacts with quarks through a contact operator. If the dark matter particles are produced with longitudinal polarizations, then the production matrix element is enhanced by factors of the energy. We show that this particularly effective search strategy can test models for which the energy suppression scale of the operator is as large as 105 TeV. As such, these searches can probe a large class of models for which the contact-operator approximation is valid. We find that for contact operators that permit velocity-independent dark matter-nucleon scattering, LHC monojet searches for spin-1 dark matter are competitive with or far surpass direct-detection searches depending on whether the scattering is spin independent or spin dependent, respectively.

Research Organization:
Univ. of Hawaii, Honolulu, HI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
SC0010504; FG02-13ER-41976; PHY-1250573
OSTI ID:
1598667
Alternate ID(s):
OSTI ID: 1227525
Journal Information:
Physical Review. D, Particles, Fields, Gravitation and Cosmology, Vol. 92, Issue 9; ISSN 1550-7998
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 13 works
Citation information provided by
Web of Science

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Cited By (4)

Decoding the nature of Dark Matter at current and future experiments journal April 2020
Decoding the Nature of Dark Matter at Current and Future Experiments journal June 2019
The waning of the WIMP? A review of models, searches, and constraints journal March 2018
The Waning of the WIMP? A Review of Models, Searches, and Constraints text January 2017

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