publication . Article . Preprint . Other literature type . 2017

Simplified models for dark matter face their consistent completions.

Jose Miguel No; Dorival Gonçalves; Pedro A. N. Machado;
Open Access
  • Published: 30 Mar 2017 Journal: Physical Review D, volume 95 (issn: 2470-0010, eissn: 2470-0029, Copyright policy)
  • Publisher: American Physical Society (APS)
  • Country: United Kingdom
Simplified dark matter models have been recently advocated as a powerful tool to exploit the complementarity between dark matter direct detection, indirect detection and LHC experimental probes. Focusing on pseudoscalar mediators between the dark and visible sectors, we show that the simplified dark matter model phenomenology departs significantly from that of consistent ${SU(2)_{\mathrm{L}} \times U(1)_{\mathrm{Y}}}$ gauge invariant completions. We discuss the key physics simplified models fail to capture, and its impact on LHC searches. Notably, we show that resonant mono-Z searches provide competitive sensitivities to standard mono-jet analyses at $13$ TeV LH...
arXiv: High Energy Physics::Phenomenology
free text keywords: High Energy Physics - Phenomenology, High Energy Physics - Experiment, Large Hadron Collider, Complementarity (molecular biology), Particle physics, Invariant (mathematics), Dark matter, Pseudoscalar, Gauge (firearms), Physics, Physics beyond the Standard Model
Funded by
Dark Matter and the Early Universe in the LHC Era
  • Funder: European Commission (EC)
  • Project Code: 648680
  • Funding stream: H2020 | ERC | ERC-COG
NSF| Investigations in High Energy Physics
  • Funder: National Science Foundation (NSF)
  • Project Code: 1519175
Electroweak Baryogenesis in the Era of the LHC
  • Funder: European Commission (EC)
  • Project Code: 625809
  • Funding stream: FP7 | SP3 | PEOPLE
The Elusives Enterprise: Asymmetries of the Invisible Universe
  • Funder: European Commission (EC)
  • Project Code: 674896
  • Funding stream: H2020 | MSCA-ITN-ETN
EC| InvisiblesPlus
  • Funder: European Commission (EC)
  • Project Code: 690575
  • Funding stream: H2020 | MSCA-RISE
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