Probing Higgs boson exotic decays at the LHC with machine learning

Jung, Sunghoon; Liu, Zhen; Wang, Lian-Tao; Xie, Ke-Pan

doi:10.1103/physrevd.105.035008

Cited by 9 publications

(8 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Current studies have been focusing on the Higgs decays into a pair of twin glueballs [331,332,328,333], but this is only a subclass of the generic Higgs decays into these final states. This dark shower channel is also motivated by the class of models with large number of light scalars [334], e.g., NNaturalness [335], EW scale as a trigger [336], and delayed or non-restored electroweak symmetry [337,338,339,340]. The phenomenological study of this general class of models is complex, and this is especially true at the LHC due to the challenges of triggers and backgrounds.…”

Section: Hl-lhcmentioning

confidence: 99%

The International Linear Collider (Report to Snowmass 2021)

Aryshev¹,

Behnke²,

Berggren³

et al. 2022

View full text Add to dashboard Cite

The International Linear Collider (ILC) is on the table now as a new global energyfrontier accelerator laboratory taking data in the 2030's. The ILC addresses key questions for our current understanding of particle physics. It is based on a proven accelerator technology. Its experiments will challenge the Standard Model of particle physics and will provide a new window to look beyond it. This document brings the story of the ILC up to date, emphasizing its strong physics motivation, its readiness for construction, and the opportunity it presents to the US and the global particle physics community.

show abstract

Section: Hl-lhcmentioning

confidence: 99%

The International Linear Collider (Report to Snowmass 2021)

Aryshev¹,

Behnke²,

Berggren³

et al. 2022

View full text Add to dashboard Cite

show abstract

“…[37] and find similar projections. There are room for further improvement, e.g., usings Machine Learning to deal with complex signals and backgrounds for Higgs exotic decays [38].…”

Section: �� mentioning

confidence: 99%

Probing the Electroweak Phase Transition with Exotic Higgs Decays

Carena¹,

Kozaczuk²,

Liu³

et al. 2022

Preprint

Self Cite

View full text Add to dashboard Cite

An essential goal of the Higgs physics program at the LHC and beyond is to explore the nature of the Higgs potential and shed light on the mechanism of electroweak symmetry breaking. An important class of models defining the strength and order of the electroweak phase transition is driven by the Higgs boson coupling to a light new state. This Snowmass white paper points out the existence of a region of parameter space where a strongly first order electroweak phase transition is compatible with exotic decays of the SM-like Higgs boson. A dedicated search for exotic Higgs decays can actively explore this framework at the Large Hadron Collider (LHC), while future exotic Higgs decay searches at the highluminosity LHC and future Higgs factories will be vital to conclusively probe the scenario.

show abstract

“…[45,46], it is found that the four-momentum information of the particles inside the jets can be converted into a two-dimensional (2D) image. To deal with the jet images, the convolutional neural network (CNN) and its variants have been often adopted in the analyses [47][48][49][50][51][52][53][54][55][56][57][58]. For example, in Ref.…”

Section: Referencesmentioning

confidence: 99%

Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the LHC

Lv,

Wang,

2022

Preprint

View full text Add to dashboard Cite

Higgsino in supersymmetric standard models can play the role of dark matter particle. In conjunction with the naturalness criterion, the higgsino mass parameter is expected to be around the electroweak scale. In this work, we explore the potential of probing the nearly degenerate light higgsinos with machine learning at the LHC. By representing the jets as 2D images, we use the convolutional neural network (CNN) to enhance the signal significance. We find that our deep learning jet image method can improve the previous result based on the conventional cut-flow by about a factor of two at the High-Luminosity LHC.

show abstract

Probing Higgs boson exotic decays at the LHC with machine learning

Cited by 9 publications

References 50 publications

The International Linear Collider (Report to Snowmass 2021)

The International Linear Collider (Report to Snowmass 2021)

Probing the Electroweak Phase Transition with Exotic Higgs Decays

Deep Learning Jet Image as a Probe of Light Higgsino Dark Matter at the LHC

Contact Info

Product

Resources

About