3,173 research outputs found
Simple non-Abelian extensions of the standard model gauge group and the diboson excesses at the LHC
The ATLAS collaboration reported excesses at around 2 TeV in the di-boson
production decaying into hadronic final states. We consider the possibility of
explaining the excesses with extra gauge bosons in two simple non-Abelian
extensions of the Standard Model. One is the so-called models with a
symmetry structure of and the other is
the models with an extended symmetry of . The and bosons emerge after the electroweak symmetry is
spontaneously broken. Two patterns of symmetry breaking in the models
are considered in this work: one is , the other is . The symmetry breaking of the model is
. We perform a global
analysis of and phenomenology in ten new physics models,
including all the channels of decay. Our study shows that
the leptonic mode and the dijet mode of decays impose a
very stringent bound on the parameter space in several new physics models. Such
tight bounds provide a useful guide for building new physics models to address
on the diboson anomalies. We also note that the Left-Right and Lepton-Phobic
models can explain the excess if the deviation in
the pair around 2~TeV were confirmed to be a fluctuation of the SM
backgrounds.Comment: Publish version; title changed as suggested by journal Edito
Resolving the Degeneracy in Single Higgs Production with Higgs Pair Production
The Higgs boson production can be affected by several anomalous couplings,
e.g. and anomalous couplings. Precise measurement of
production yields two degenerate parameter spaces of and ; one
parameter space exhibits the SM limit while the other does not. Such a
degeneracy could be resolved by Higgs boson pair production. In this work we
adapt the strategy suggested by the ATLAS collaboration to explore the
potential of distinguishing the degeneracy at the 14 TeV LHC. If the
anomalous coupling is induced only by the operator , then the non-SM-like band could be excluded with an integrated luminosity
of . Making use of the fact that the Higgs boson pair
is mainly produced through an -wave scattering, we propose an analytical
function to describe the fraction of signal events surviving a series of
experimental cuts for a given invariant mass of Higgs boson pair. The function
is model independent and can be applied to estimate the discovery potential of
various NP models
New Class of Two-Loop Neutrino Mass Models with Distinguishable Phenomenology
We discuss a new class of neutrino mass models generated in two loops, and
explore specifically three new physics scenarios: (A) doubly charged scalar,
(B) dark matter, and (C) leptoquark and diquark, which are verifiable at the 14
TeV LHC Run-II. We point out how the different Higgs insertions will
distinguish our two-loop topology with others if the new particles in the loop
are in the simplest representations of the SM gauge group
The Diphoton Excess, Low Energy Theorem and the 331 Model
We interpret the diphoton anomaly as a heavy scalar in the so-called
331 model. The scalar is responsible for breaking the gauge symmetry down to the standard model electroweak
gauge group. It mainly couples to the standard model gluons and photons through
quantum loops involving heavy quarks and leptons. Those quarks and leptons, in
together with the SM quarks and leptons, form the fundamental representation of
the 331 model. We use low energy theorem to calculate effective coupling of
, , , and . The analytical
results can be applied to new physics models satisfying the low energy theorem.
We show that the heavy quark and lepton contribution cannot produce enough
diphoton pairs. It is crucial to include the contribution of charged scalars to
explain the diphoton excess. The extra neutral boson could also
explain the 2 TeV diboson excess observed at the LHC Run-I.Comment: To appear in PR
Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks
In this paper, we consider estimation and inference for both the multi-index
parameters and the link function involved in a class of semiparametric
multi-index models via deep neural networks (DNNs). We contribute to the design
of DNN by i) providing more transparency for practical implementation, ii)
defining different types of sparsity, iii) showing the differentiability, iv)
pointing out the set of effective parameters, and v) offering a new variant of
rectified linear activation function (ReLU), etc. Asymptotic properties for the
joint estimates of both the index parameters and the link functions are
established, and a feasible procedure for the purpose of inference is also
proposed. We conduct extensive numerical studies to examine the finite-sample
performance of the estimation methods, and we also evaluate the empirical
relevance and applicability of the proposed models and estimation methods to
real data
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