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Unmodeled beyond Standard Model (BSM) physics in neutrino propagation can masquerade as parameter degeneracies in future precision measurements. Because the upcoming DUNE and T2HK experiments will operate at substantially different…

High Energy Physics - Phenomenology · Physics 2026-03-17 João Paulo Pinheiro , Ushak Rahaman

The neutrino oscillation experiments are setting increasingly strong upper bounds on the vector Non-Standard neutrino Interactions (NSI) with matter fields. However, the bounds on the axial NSI are more relaxed, raising the hope that…

High Energy Physics - Phenomenology · Physics 2025-08-12 S. Abbaslu , Yasaman Farzan

Dynamical electroweak symmetry breaking (DEWSB) has been a viable option for the completion of the standard model for over thirty years. Precision electroweak studies indicate that the new strong interactions that break EW symmetry cannot…

High Energy Physics - Lattice · Physics 2010-04-15 George T. Fleming

It has long been recognized that the scattering of electroweak particles at very high energies is dominated by vector boson fusion, which probes the origin of electroweak symmetry breaking and offers a unique window into the ultraviolet…

High Energy Physics - Phenomenology · Physics 2024-11-07 Tao Han , Da Liu , Ian Low , Xing Wang

The Standard Model (SM) is the best description of fundamental particles and their interactions we have to date. From this theory, all phenomena in the macroscopic world (except for gravity) can be explained, and it has successfully…

High Energy Physics - Phenomenology · Physics 2024-07-30 Joan Ruiz-Vidal

The quantum loop suppressed electroweak processes appear to be very sensitive probes for the symmetry-breaking mechanisms. Since the Standard Model does not involve massive neutrinos, baryon or lepton number violations and the cold dark…

General Physics · Physics 2013-05-16 Davor Palle

We show that a recently proposed framework that provides a simple connection between Majorana neutrinos and an invisible axion in minimal scalar extensions of the standard electroweak model can be naturally embedded in a classically…

High Energy Physics - Phenomenology · Physics 2016-01-20 Stefano Bertolini , Luca Di Luzio , Helena Kolešová , Michal Malinský , Juan Carlos Vasquez

Uncertainty quantification (UQ) in machine learning is currently drawing increasing research interest, driven by the rapid deployment of deep neural networks across different fields, such as computer vision, natural language processing, and…

Machine Learning · Computer Science 2022-08-26 Zongren Zou , Xuhui Meng , Apostolos F Psaros , George Em Karniadakis

Discoveries of new phenomena often involve a dedicated search for a hypothetical physics signature. Recently, novel deep learning techniques have emerged for anomaly detection in the absence of a signal prior. However, by ignoring signal…

High Energy Physics - Phenomenology · Physics 2021-06-14 Sang Eon Park , Dylan Rankin , Silviu-Marian Udrescu , Mikaeel Yunus , Philip Harris

The mechanism behind Electroweak Symmetry Breaking (EWSB) and the nature of dark matter (DM) are currently among the most important issues in high energy physics. Since a natural dark matter candidate is a weakly interacting massive…

High Energy Physics - Phenomenology · Physics 2008-11-26 Thomas Hambye , Michel H. G. Tytgat

We investigate potential quantum nonlinear corrections to Dirac's equation through its sub-leading effect on neutrino oscillation probabilities. Working in the plane-wave approximation and in the $\mu-\tau$ sector, we explore various…

High Energy Physics - Phenomenology · Physics 2011-02-08 Wei Khim Ng , Rajesh R. Parwani

We systematically analyze the anomalous dipole $\Delta k_{\gamma}$ and quadrupole $\Delta Q_{\gamma}$ moments of the W gauge bosons in the context of the minimal supersymmetric standard model as functions of the soft SUSY breaking…

High Energy Physics - Phenomenology · Physics 2009-09-25 A. B. Lahanas , V. C. Spanos

Machine Learning Interatomic Potentials (MLIPs) achieve near ab initio accuracy at a fraction of the cost of quantum-mechanical simulations, yet they remain prone to silent failures on out-of-distribution configurations, making principled…

Computational Engineering, Finance, and Science · Computer Science 2026-05-27 Olga Zaghen , Maksim Zhdanov , Dario Coscia , David R. Wessels , Erik J. Bekkers

The Standard Model (SM) of the electroweak has proven to be successful in describing all the available precision experimental data. However, the Higgs mechanism, responsible for the electroweak symmetry breaking in the SM, still remains one…

High Energy Physics - Phenomenology · Physics 2015-07-22 S. M. Lietti

Electric dipole moments are extremely sensitive probes of physics beyond the Standard Model. A vibrant experimental program is in place, with the goal of improving existing bounds on the electron and neutron electric dipole moments by one…

High Energy Physics - Phenomenology · Physics 2018-10-03 Emanuele Mereghetti

Uncertainty quantification (UQ) is crucial for deploying machine learning models in high-stakes applications, where overconfident predictions can lead to serious consequences. An effective UQ method must balance computational efficiency…

Machine Learning · Computer Science 2026-02-23 Taeseong Yoon , Heeyoung Kim

In this talk, I shall address two key issues related to electroweak symmetry breaking. First, how fine-tuned different models are that trigger this phenomenon? Second, even if a light Higgs boson exists, does it have to be necessarily…

High Energy Physics - Phenomenology · Physics 2015-06-03 Gautam Bhattacharyya

Based upon our recent study on the Lorentz non-invariance ambiguity in the longitudinal weak-boson scatterings and the precise conditions for the validity of the Equivalence Theorem (ET), we further examine the intrinsic connection between…

High Energy Physics - Phenomenology · Physics 2019-08-15 H. -J. He , Y. -P. Kuang , C. -P. Yuan

Determining the thermal history of electroweak symmetry breaking (EWSB) is an important challenge for particle physics and cosmology. Lattice simulations indicate that EWSB in the Standard Model (SM) occurs through a crossover transition,…

High Energy Physics - Phenomenology · Physics 2020-10-28 Michael J. Ramsey-Musolf

Deep unrolling is an emerging deep learning-based image reconstruction methodology that bridges the gap between model-based and purely deep learning-based image reconstruction methods. Although deep unrolling methods achieve…

Image and Video Processing · Electrical Eng. & Systems 2022-12-21 Canberk Ekmekci , Mujdat Cetin
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