Higgs boson decays into {\gamma}{\gamma} and Z{\gamma} in the MSSM and BLSSM

We calculate Higgs decay rates into {\gamma}{\gamma} and Z{\gamma} in the Minimal Supersymmetric Standard Model (MSSM) and (B-L) Supersymmetric Standard Model (BLSSM) by allowing for contributions from light staus and charginos. We show that sizable departures are possible from the SM predictions for the 125 GeV state and that they are testable during run 2 at the Large Hadron Collider. Furthermore, we illustrate how a second light scalar Higgs signal in either or both these decay modes can be accessed at the CERN machine rather promptly within the BLSSM, a possibility instead precluded to the MSSM owing to the much larger mass of its heavy scalar state.Comment: Plots slightly modified, no significant chang

On a Hybrid Technique to Handle Analytical and Approximate Solutions of Linear and Nonlinear Fractional Order Partial Differential Equations

This manuscript is devoted to consider Natural transform (NT) coupled with homotopy perturbation method (HPM) for obtaining series solutions to some linear and nonlinear fractional partial differential equations (FPDEs). By means of NT, we obtain the transformed problem which is then solved by using HPM. By means of Stehfest’s numerical algorithm and using the dual relationship of NT and Laplace transform, we calculate inverse NT for approximate solutions. The series solutions we obtain using the proposed method are in close agreement with the exact solutions. We apply the proposed method to some interesting problems to illustrate our main results

Search for Mono-Higgs Signals in bbˉb\bar b Final States Using Deep Neural Networks

We study mono-Higgs signatures emerging in an illustrative new physics scenario involving Standard Model Higgs boson decays to bottom quark pairs using Hybrid Deep Neural Networks. We use a Multi-Layer Perceptron to analyze the kinematic observables and optimize the signal-to-background discrimination. The global color flow structure of hard jets emerging from the decay of heavy particles with different color charges is crucial to single out the mono-Higgs signature. Upon embedding the different color flow structures for signal and backgrounds into constructed images, we use a Convolution Neural Network to analyze the latter. Specifically, the approach takes initially a mono-type data as input, frittering away invaluable multi-source and multi-scale information. We then discuss a general architecture of Hybrid Deep Neural Networks that supports instead mixed input data. In comparison with single input Deep Neural Networks, like MultiLayers Perceptron or Convolution Neural Network, the Hybrid Deep Neural Networks provide higher capacity in feature extraction and thus in signal vs background classification performance. We provide reference results for the case of the High-Luminosity Large Hadron Collider.Comment: published versio

The Art of Storytelling as an Exploration of Re-Writing Gender Roles

Abstract: This paper explores Grace Paley's A Conversation with my Father, which was first published in the New American Review (1972), from a feminist perspective precisely using terms by Sandra Gilbert and Susan Gubar. A Conversation with my Father is about storytelling; the daughter entertains her father by telling him a story; hence, storytelling as an art is at the center of this study. The main theme of the story is considered to be a generation gap between the female author and her father, yet it mainly deconstructs the image of the father and the daughter into a dialectical female and male binary opposition. Consequently, this leads to a new meaning that shows the intricacy of the art of storytelling which informs a re-construction of gender roles. Therefore, it is crucial to focus on the complex role of the female narrator who verbally informs her father of her artistic creation of the story, and the complex role of her father who criticizes her story, and asks her to re-write it from his male perspective. Through the narrator's storytelling, women’s roles as subject/object shed light on the perceived image of women in literature by a patriarchal system