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The DArk Matter Particle Explorer (DAMPE) has observed a tentative peak at $E\sim1.4~\TeV$ in the cosmic-ray electron spectrum. In this paper, we interpret this excess in the scotogenic type-II seesaw model. This model extends the canonical…

High Energy Physics - Phenomenology · Physics 2018-06-22 Ran Ding , Zhi-Long Han , Lei Feng , Bin Zhu

We consider a class of high-dimensional spatial filtering problems, where the spatial locations of observations are unknown and driven by the partially observed hidden signal. This problem is exceptionally challenging as not only is…

Methodology · Statistics 2024-03-07 Hamza Ruzayqat , Alexandros Beskos , Dan Crisan , Ajay Jasra , Nikolas Kantas

In this work, we have studied the Vector Scotogenic Model in the context of the Dark Matter problem. Due to unitarity considerations, we have focused on the scenario with fermion dark matter, finding out that co-annihilations play a…

High Energy Physics - Phenomenology · Physics 2024-07-01 Paulo Areyuna C. , Jilberto Zamora-Saa , Alfonso R. Zerwekh

By extending the minimal scotogenic model with a spontaneously broken global symmetry $U(1)'$ and a preserved $\mathbb{Z}_2$ symmetry, we build a seesaw model for generating neutrino masses at three-loop level. The new particles have masses…

High Energy Physics - Phenomenology · Physics 2023-11-28 Asmaa Abada , Nicolás Bernal , Antonio E. Cárcamo Hernández , Sergey Kovalenko , Téssio B. de Melo , Takashi Toma

We investigate the extent to which supervised machine learning techniques can distinguish between neutron-star matter models using macroscopic and oscillation-related quantities derived from theoretical stellar configurations. Four…

High Energy Astrophysical Phenomena · Physics 2026-05-26 Wasif Husain

Deep neural networks (DNN) with a huge number of adjustable parameters remain largely black boxes. To shed light on the hidden layers of DNN, we study supervised learning by a DNN of width $N$ and depth $L$ consisting of $NL$ perceptrons…

Disordered Systems and Neural Networks · Physics 2023-08-01 Hajime Yoshino

Detecting Beyond Standard Model (BSM) signals in high-energy particle collisions presents significant challenges due to complex data and the need to differentiate rare signal events from Standard Model (SM) backgrounds. This study…

High Energy Physics - Phenomenology · Physics 2024-11-12 Ali Çelik

We introduce a general Monte Carlo method based on Nested Sampling (NS), for sampling complex probability distributions and estimating the normalising constant. The method uses one or more particles, which explore a mixture of nested…

Computation · Statistics 2012-02-27 Brendon J. Brewer , Livia B. Pártay , Gábor Csányi

Thawing quintessence scalar field models with the various potential forms to explain the late-time cosmic acceleration are compared to the {\Lambda}CDM model in detail by analyzing cosmological parameters with a set of observational data…

Cosmology and Nongalactic Astrophysics · Physics 2024-06-11 Fereshteh Felegary , Kazuharu Bamba

Orthogonal matrices play an important role in probability and statistics, particularly in high-dimensional statistical models. Parameterizing these models using orthogonal matrices facilitates dimension reduction and parameter…

Computation · Statistics 2024-06-04 Masahiro Tanaka

We consider the possibility that neutrino masses arise from the exchange of dark matter states. We examine in detail the phenomenology of fermionic dark matter in the singlet-triplet scotogenic reference model. We explore the case of…

High Energy Physics - Phenomenology · Physics 2024-01-24 Anirban Karan , Soumya Sadhukhan , José W. F. Valle

We study a seesaw-type extension of the Standard Model in which the symmetry group is enlarged by a global U(1). We introduce adequate scalar and fermion representations which naturally explain the smallness of neutrino masses. With the…

High Energy Physics - Phenomenology · Physics 2011-12-19 François-Xavier Josse-Michaux , Emiliano Molinaro

In this paper we develop a Markov Chain Monte Carlo code to study the dark matter properties in interpreting the recent observations of cosmic ray electron/positron excesses. We assume that the dark matter particles couple dominantly to…

Cosmology and Nongalactic Astrophysics · Physics 2010-01-20 Jie Liu , Qiang Yuan , Xiaojun Bi , Hong Li , Xinmin Zhang

We apply the idea of landscape (motivated by string theory) to study the statistical nature of parameters/couplings in the standard model of strong and electroweak interactions. Following the success of this approach on the fermion masses,…

High Energy Physics - Phenomenology · Physics 2022-06-08 Yu-Cheng Qiu , Hui-Yu Zhu

We study the connection between dark matter (DM) and neutrinoless double beta ($0\nu\beta\beta$) decay in a scotogenic model with hybrid texture in the neutrino mass matrix. Characteristically, the framework allows to write all the non-zero…

High Energy Physics - Phenomenology · Physics 2021-12-01 Ankush , Monal Kashav , Surender Verma , B. C. Chauhan

Within a scotogenic neutrino mass model we explore the cogenesis of matter from the CP violating decay of a heavy $\mathbb{Z}_2$-odd right handed neutrino that simultaneously populates the visible and a multipartite dark sector. The relic…

High Energy Physics - Phenomenology · Physics 2026-03-20 Debajit Bose , Rohan Pramanick , Tirtha Sankar Ray

Markov chain Monte Carlo (MCMC) methods are simulated by local exploration of complex statistical distributions, and while bypassing the cumbersome requirement of a specific analytical expression for the target, this stochastic exploration…

Computation · Statistics 2023-12-04 Xiongming Dai , Gerald Baumgartner

We outline and investigate a set of benchmark simplified models with the aim of providing a minimal simple framework for an interpretation of the existing and forthcoming searches of dark matter particles at the LHC. The simplified models…

High Energy Physics - Phenomenology · Physics 2015-03-18 Philip Harris , Valentin V. Khoze , Michael Spannowsky , Ciaran Williams

The functionality of ferroelastic domain walls in ferroelectric materials is explored in real-time via the in-situ implementation of computer vision algorithms in scanning probe microscopy (SPM) experiment. The robust deep convolutional…

Materials Science · Physics 2022-06-24 Yongtao Liu , Kyle P. Kelley , Hiroshi Funakubo , Sergei V. Kalinin , Maxim Ziatdinov

The search for relativistic scattering signals of cosmogenic light dark matter at terrestrial detectors has received increasing attention as an alternative approach to probe dark-sector physics. Large-volume neutrino experiments are well…

High Energy Physics - Phenomenology · Physics 2021-02-02 Albert De Roeck , Doojin Kim , Zahra Gh. Moghaddam , Jong-Chul Park , Seodong Shin , Leigh H. Whitehead