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19932026
most citedSTDP-based spiking deep convolutional neural networks for object recognition

794 citations

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hep-ph2026

Numerical Study of MRW-Type Unintegrated Double Parton Distribution Functions from Non-Factorized DPDFs

R. Kord Valeshabadi, S. Rezaie, K. Azizi

Double parton scattering provides a sensitive probe of multiparton correlations inside hadrons. In this work we present a numerical study of unintegrated double parton distribution…

hep-ph2026

Global Analyses of Generalized Parton Distributions with Diverse PDF Inputs

The MMGPDs Collaboration, Fatemeh Irani, Muhammad Goharipour +1

This paper investigates the crucial role of parton distribution functions (PDFs) in high-energy physics, particularly their impact on the extraction of generalized parton distribut…

hep-ph2026

Testing Modified Teleparallel Gravity by Neutrino Oscillations

H. Yazdani Ahmadabadi, H. Mohseni Sadjadi

In the framework of modified teleparallel gravity, we study neutrino flavor conversion. We show how the presence of spacetime torsion modifies both neutrino flavor oscillation and…

hep-ph2025★ 1 cited

Mass Varying Neutrino Oscillation in Scalar-Gauss-Bonnet Gravity

H. Mohseni Sadjadi, H. Yazdani Ahmadabadi

We investigate how matter density affects neutrino oscillations by considering a mass-varying neutrino scenario where the neutrino mass depends on a scalar field. This scalar field…

hep-ph2025★ 1 cited

Determination of the pion generalized parton distributions at zero skewness

The MMGPDs Collaboration, Muhammad Goharipour, M. H. Amiri +3

We perform a global QCD analysis of the pion electromagnetic form factor (FF) data from pion electroproduction and elastic pion scattering to extract the valence pion generalized p…

hep-ph2025★ 6 cited

Impact of QCD sum rules coupling constants on neutron stars structure

F. Moradi Jangal, H. R. Moshfegh, K. Azizi

We present a detailed investigation on the structure of neutron stars, incorporating the presence of hyperons within a relativistic model under the mean-field approximation. Employ…