2020
DOI: 10.1088/1361-6471/ab772f
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Loop induced singlet scalar production through the vector like top quark at future lepton colliders

Abstract: In this paper, we explore the signature of a simplified model which includes a new singlet scalar state and a vector like quark at future lepton colliders. In particular, we study the production of the new singlet scalar in association with a photon, which proceeds through loop level diagrams involving vector like top quark partner, at future e − e + colliders with different center-of-mass energies from 500 GeV to 3 TeV. To show the sensitivity of the process, the exclusion limits on the parameter space of the… Show more

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Cited by 4 publications
(4 citation statements)
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“…The fundamental mathematical formulation of physical laws, such as conservation laws and differential equations, can be automatically deduced from data. [284][285][286] Methods based on compressed sensing [215,216] provide a systematic way of identifying the algebraic form of the descriptors that capture the underlying mechanisms behind material properties, providing a more natural basis for human interpretation. These methods have been successful in identifying physically meaningful descriptors that control the stability of perovskites [287] and monolayer metal oxides coatings.…”
Section: Applicationsmentioning
confidence: 99%
“…The fundamental mathematical formulation of physical laws, such as conservation laws and differential equations, can be automatically deduced from data. [284][285][286] Methods based on compressed sensing [215,216] provide a systematic way of identifying the algebraic form of the descriptors that capture the underlying mechanisms behind material properties, providing a more natural basis for human interpretation. These methods have been successful in identifying physically meaningful descriptors that control the stability of perovskites [287] and monolayer metal oxides coatings.…”
Section: Applicationsmentioning
confidence: 99%
“…[94][95][96]. There are also some works on this process in many new physics models, for example, the MSSM [96][97][98][99], extended scalar sector models [100,101], VLQ models [102], effective field theory framework [103][104][105][106], and simplified scenarios [107]. Besides, we can also probe the FCNY couplings through direct production processes pp → Tth; Tt; ThW; Thj.…”
Section: Numerical Results and Constraint Prospectsmentioning
confidence: 99%
“…Leaving aside the most aggressive instances of big data [220], which can be readily commented away, [221][222][223], it is undeniable that data science, and notably Physics-Aware Machine Learning (PAML), bears major potential to enhance the LBPD scenario. By PAML we refer to the machine-learning scenario whereby neural networks are designed in such a way as to incorporate physical constraints directly into their architecture, see [224,225] and references therein.…”
Section: Pcb Modeling Versus Big Data Sciencementioning
confidence: 99%