LHC signals of triplet scalars as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks

Dey, Atri; Lahiri, Jayita; Mukhopadhyaya, Biswarup

doi:10.1007/jhep06(2020)126

Cited by 16 publications

(11 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The channel H ±± → H ± W ± can be kinematically forbidden by taking m H ±± m H ± . The branching ratio of channel H ±± → ± ± and channel H ±± → W ± W ± depends on the value of triplet Higgs VEV and the H ±± dominantly decays into leptons when the triplet Higgs VEV v ∆ < 10 −5 GeV [34]. With the assumption of m H ± m H m A and v ∆ < 10 −5 GeV, H ± , H and A dominantly decay into ± ν, νν and νν respectively.…”

Section: The Modelmentioning

confidence: 99%

Confronting cosmic ray electron and positron excesses with hybrid triplet Higgs portal dark matter

Chen,

Banik,

Liu

2021

Preprint

View full text Add to dashboard Cite

We perform a detailed study of scalar dark matter with triplet Higgs extensions of the Standard Model in order to explain the cosmic ray electron and positron excesses reported by AMS-02 and DAMPE. A detailed analysis of AMS-02 positron excess reveals that for different orderings (normal, inverted and quasi-degenerate) of neutrino mass, the hybrid triplet Higgs portal framework is more favored with respect to the single triplet Higgs portal for TeV scale dark matter. We also show that the resonant peak and continuous excess in DAMPE cosmic ray data can be well explained with the hybrid triplet Higgs portal dark matter when a dark matter sub-halo nearby is taken into account.

show abstract

Section: The Modelmentioning

confidence: 99%

Confronting cosmic ray electron and positron excesses with hybrid triplet Higgs portal dark matter

Chen,

Banik,

Liu

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…After the cut-based method, we analyze the di-lepton + / E T final state with ANN [119]. ANN has been extremely popular in the recent past [120][121][122][123][124] and it has been proved extremely effective to improve the results of cut-based analyses multi-fold [123,125,126]. In our present analysis where signal yield is poor, the signal and background separation becomes extremely crucial.…”

Section: Improved Analysis With Artificial Neural Network (Ann)mentioning

confidence: 99%

Generalized 2HDM with wrong-sign lepton-Yukawa coupling, in light of $$g_{\mu }-2$$ and lepton flavor violation at the future LHC

Ghosh

Lahiri

2021

Eur. Phys. J. C

Self Cite

View full text Add to dashboard Cite

To explain the observed muon anomaly and simultaneously evade bounds from lepton flavor violation in the same model parameter space is a long-cherished dream. In view of a generalized Two Higgs Doublet Model, with a Yukawa structure as a perturbation of Type-X, we are able to get substantial parameter space satisfying these criteria. In this work, we focus on a region with “wrong-sign” lepton-Yukawa coupling which gives rise to interesting phenomenological consequences. Performing a simple cut-based analysis, we show that at 14 TeV run of the LHC with $$300 \mathrm{{fb}}^{-1}$$ 300 fb - 1 integrated luminosity, part of the model parameter space can be probed with significance "Equation missing" which further improves with Artificial Neural Network analysis.

show abstract

“…After the cut-based analysis is done, we explore the possibility of improvements of our analysis with ANN [107]. ANN has shown marked improvement compared to results pertaining to cut-based analyses [24,[108][109][110][111][112][113]. In the present analysis signal yield is poor in general because of multiple reasons discussed above.…”

Section: Ann Analysismentioning

confidence: 99%

Collider Signatures of Type-X 2HDM + scalar singlet dark matter at HL-LHC

Dey¹,

Lahiri²

2021

Preprint

Self Cite

View full text Add to dashboard Cite

As the 125 GeV Higgs becomes disfavored as a portal to the dark sector, one is motivated to look beyond the SM-Higgs sector, into extended scalar-mediated portal mechanisms. In this work we consider one interesting possibility of such extended scalar sector, namely Type X two Higgs doublet with a scalar singlet dark matter. This model with the advantage of light pseudoscalars also provides the explanation for the observed anomalous magnetic moment of muon. The dark matter phenomenology of this model is unique from the other types of two Higgs doublet models. Therefore, it is quite intriguing to look for signatures specific to this model at the collider experiments. In this work we take up the task of finding suitable final states and regions of parameters space that can be probed at the high-luminosity runs of LHC. We go beyond our rectangular cut-based approach and use Artificial Neural Network which shows remarkable improvement in terms of signal significance.

show abstract

LHC signals of triplet scalars as dark matter portal: cut-based approach and improvement with gradient boosting and neural networks

Cited by 16 publications

References 41 publications

Confronting cosmic ray electron and positron excesses with hybrid triplet Higgs portal dark matter

Confronting cosmic ray electron and positron excesses with hybrid triplet Higgs portal dark matter

Generalized 2HDM with wrong-sign lepton-Yukawa coupling, in light of $$g_{\mu }-2$$ and lepton flavor violation at the future LHC

Collider Signatures of Type-X 2HDM + scalar singlet dark matter at HL-LHC

Contact Info

Product

Resources

About