2011
DOI: 10.1103/physrevd.84.115003
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Discrimination of new physics models with the International Linear Collider

Abstract: The large hadron collider (LHC) is anticipated to provide signals of new physics at the TeV scale, which are likely to involve production of a WIMP dark matter candidate. The international linear collider (ILC) is to sort out these signals and lead us to some viable model of the new physics at the TeV scale. In this article, we discuss how the ILC can discriminate new physics models, taking the following three examples: the inert Higgs model, the supersymmetric model, and the littlest Higgs model with T-parity… Show more

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Cited by 15 publications
(25 citation statements)
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“…(14) with Wilson-coefficient values given by normalizations times the fiducial values listed in Table 6. The number of expected events for these benchmarks and these experiments is given in Table 7.…”
Section: Effective Operatorsmentioning
confidence: 99%
“…(14) with Wilson-coefficient values given by normalizations times the fiducial values listed in Table 6. The number of expected events for these benchmarks and these experiments is given in Table 7.…”
Section: Effective Operatorsmentioning
confidence: 99%
“…For larger mass splittings ∆ ± 10 GeV, the mono-photon requirement can be dropped and searches can be performed for leptons (or jets) and missing energy as described in Refs. [119,120].…”
Section: High-energy Lepton Collidermentioning
confidence: 99%
“…This work and the estimates of the range where masses and spins can be determined with reasonable accuracy will be the subject of the forthcoming paper. [5] [6]. However, the individual jet energies and consequently, effective masses of dijets cannot be measured with a high precision.…”
Section: Distortion Of the Obtained Resultsmentioning
confidence: 99%
“…Measuring positions of these singularities will allow, in principle, to determine masses D M and M + with good precision (Sections 2.3 and 2.4). In contrast to [5]- [6] [11]- [13], our description is suitable for different models.…”
Section: The Problemmentioning
confidence: 99%