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Related papers: Heavy Vector Triplets: Bridging Theory and Data

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Quantum tomography provides the full reconstruction of the density matrix of a state. We use it to study the Higgs boson decay into weak gauge bosons. Anomalous couplings beyond the Standard Model can be constrained by means of observables…

High Energy Physics - Phenomenology · Physics 2023-10-11 M. Fabbrichesi , R. Floreanini , E. Gabrielli , L. Marzola

We propose a weak-identification-robust test for linear instrumental variable (IV) regressions with high-dimensional instruments, whose number is allowed to exceed the sample size. In addition, our test is robust to general error…

Econometrics · Economics 2025-07-01 Qu Feng , Sombut Jaidee , Wenjie Wang

We propose a Vector-like quark (VLQ) model constrained by the requirement of perturbative unitarity. In this scenario, the neutral and charged couplings of the new heavy VLQs to SM quarks and bosons are strictly related. We derive the…

High Energy Physics - Phenomenology · Physics 2022-02-15 E. Accomando , J. Brannigan , J. Gunn , Y. Huyan , S. Mulligan

We develop deterministic perturbation bounds for singular values and vectors of orthogonally decomposable tensors, in a spirit similar to classical results for matrices such as those due to Weyl, Davis, Kahan and Wedin. Our bounds…

Numerical Analysis · Mathematics 2022-01-24 Arnab Auddy , Ming Yuan

We apply the covariant derivative expansion method to integrate out the neutralinos and charginos in the minimal supersymmetric Standard Model. The results are presented as set of pure bosonic dimension-6 operators in the Standard Model…

High Energy Physics - Phenomenology · Physics 2018-05-08 Huayong Han , Ran Huo , Minyuan Jiang , Jing Shu

Based on the low-energy effective field theory of D-branes, the mass spectrum of an extended Standard Model with two-Higgs doublets used to generate all the mass terms is investigated. Besides the gauge bosons, the fermion mass spectrum is…

High Energy Physics - Theory · Physics 2017-04-05 Salah-Eddine Ennadifi

This paper considers various models of support vector machines with ramp loss, these being an efficient and robust tool in supervised classification for the detection of outliers. The exact solution approaches for the resulting optimization…

Optimization and Control · Mathematics 2024-03-13 Marta Baldomero-Naranjo , Luisa I. Martínez-Merino , Antonio M. Rodríguez-Chía

In this paper, we employ the concept of quasi-relative interior to analyze the method of Lagrange multipliers and establish strong Lagrangian duality for nonsmooth convex optimization problems in Hilbert spaces. Then, we generalize the…

Optimization and Control · Mathematics 2026-02-17 Nguyen Mau Nam , Gary Sandine , Quoc Tran-Dinh

We present a non-perturbative study of the massive Schwinger model. We use a Hamiltonian approach, based on a momentum lattice corresponding to a fast moving reference frame, and equal time quantization. We present numerical results for the…

High Energy Physics - Lattice · Physics 2009-10-31 Helmut Kröger , Norbert Scheu

Latent variable models with hidden binary units appear in various applications. Learning such models, in particular in the presence of noise, is a challenging computational problem. In this paper we propose a novel spectral approach to this…

Machine Learning · Statistics 2018-02-28 Ariel Jaffe , Roi Weiss , Shai Carmi , Yuval Kluger , Boaz Nadler

We use a functional approach based on the background-field formalism and the expansion by regions to integrate out the heavy Higgs field (associated with the mass eigenstate H) in a singlet extension of the Standard Model (SM) at the…

High Energy Physics - Phenomenology · Physics 2026-04-02 Stefan Dittmaier , Sebastian Schuhmacher , Maximilian Stahlhofen

Many motivated extensions of the standard model include new light bosons, such as axions and dark photons, which can mix with the ordinary photon. This latter, when in a dilute plasma, can be dressed by an effective plasma mass. If this is…

High Energy Physics - Phenomenology · Physics 2024-10-23 Fabrizio Corelli , Enrico Cannizzaro , Andrea Caputo , Paolo Pani

We present a first step toward field-level cosmological inference beyond the standard $\Lambda$CDM model, focusing on optimizing precision tests in the nonlinear regime of large-scale structure (LSS). As an illustrative case, we study the…

Cosmology and Nongalactic Astrophysics · Physics 2025-06-10 Matteo Peron , Takahiro Nishimichi , Massimo Pietroni , Atsushi Taruya

This article presents a number of technical tools and results that may be instrumental to discern the nature of the Higgs particle. In scenarios where an additional strongly interacting sector is present in the electroweak theory resulting…

High Energy Physics - Phenomenology · Physics 2020-10-28 Antonio Dobado , Domènec Espriu

Motivated by the problem of inferring the graph structure of functional connectivity networks from multi-level functional magnetic resonance imaging data, we develop a valid inference framework for high-dimensional graphical models that…

Methodology · Statistics 2024-03-18 Kun Yue , Eardi Lila , Ali Shojaie

In a standard regression problem, we have a set of explanatory variables whose effect on some response vector is modeled. For wide binary data, such as genetic marker data, we often have two limitations. First, we have more parameters than…

Methodology · Statistics 2021-09-20 Katharina Parry , Leo N. Geppert , Alexander Munteanu , Katja Ickstadt

The phenomenology of unstable particles, including searches and exclusion limits at the LHC, depends significantly on its lineshape. When the width of the resonance is large with respect to its mass, off-shell effects become relevant and…

High Energy Physics - Phenomenology · Physics 2013-03-27 Diogo Buarque Franzosi , Fabio Maltoni , Cen Zhang

Abstract -- We construct an analytical model for the dispersion of the hot modes in a traveling wave tube (TWT) based on the Lagrangian field theory, upgrading its constants to be frequency-dependent. The frequency dependence of the…

Applied Physics · Physics 2022-01-06 Ahmed F. Abdelshafy , Filippo Capolino , Alexander Figotin

We investigate structured sparsity methods for variable selection in regression problems where the target depends nonlinearly on the inputs. We focus on general nonlinear functions not limiting a priori the function space to additive…

Machine Learning · Statistics 2018-05-17 Magda Gregorová , Alexandros Kalousis , Stéphane Marchand-Maillet

We argue that in models with several high scales; e.g. in composite Higgs models or in gauge extensions of the Standard Model (SM), vector-like leptons can be likely produced in a relatively large $\sqrt{s}$ region of the phase space.…

High Energy Physics - Phenomenology · Physics 2020-09-10 Mikael Chala , Paweł Kozów , Maria Ramos , Arsenii Titov