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In the symplectic Lagrangian framework we newly embed an irreducible massive vector-tensor theory into a gauge invariant system, which has become reducible, by extending the configuration space to include an additional pair of scalar and…

High Energy Physics - Theory · Physics 2009-11-10 Yong-Wan Kim , Chang-Yeong Lee , Seung-Kook Kim , Young-Jai Park

The usual prescription for constructing gauge-invariant Lagrangian is generalized to the case where a Lagrangian contains second derivatives of fields as well as first derivatives. Symmetric tensor fields in addition to the usual vector…

High Energy Physics - Theory · Physics 2017-02-01 Shinji HAMAMOTO

We consider the issue of calibration in large language models (LLM). Recent studies have found that common interventions such as instruction tuning often result in poorly calibrated LLMs. Although calibration is well-explored in traditional…

Machine Learning · Computer Science 2024-06-28 Maohao Shen , Subhro Das , Kristjan Greenewald , Prasanna Sattigeri , Gregory Wornell , Soumya Ghosh

It is a challenging task for visually impaired people to perceive their surrounding environment due to the complexity of the natural scenes. Their personal and social activities are thus highly limited. This paper introduces a Large…

Computer Vision and Pattern Recognition · Computer Science 2025-04-28 Zezhou Chen , Zhaoxiang Liu , Kai Wang , Kohou Wang , Shiguo Lian

Machine learning (ML) has emerged as a powerful tool in mathematical research in recent years. This paper applies ML techniques to the study of quivers -- a type of directed multigraph with significant relevance in algebra, combinatorics,…

Combinatorics · Mathematics 2025-09-11 Kymani T. K. Armstrong-Williams , Edward Hirst , Blake Jackson , Kyu-Hwan Lee

We investigate integrable 2-dimensional Hamiltonian systems with scalar and vector potentials, admitting second invariants which are linear or quadratic in the momenta. In the case of a linear second invariant, we provide some examples of…

Exactly Solvable and Integrable Systems · Physics 2009-11-10 Giuseppe Pucacco , Kjell Rosquist

Diagrammatic reducibility DR and its generalization vertex asphericity VA are combinatorial tools developed for detecting asphericity of a 2-complex. Here we present tests for a relative version of VA that apply to pairs of 2-complexes…

Geometric Topology · Mathematics 2021-07-01 Jens Harlander , Stephan Rosebrock

The properties of the light vector mesons in the presence of local parity breaking medium with a chiral imbalance are considered in the vector-meson dominance model. Applying the finite lowest-order radiatively induced local effective…

High Energy Physics - Phenomenology · Physics 2020-12-17 Vladimir Kovalenko , Alexander Andrianov , Vladimir Andrianov

The staggered fermion approach to build models with chiral fermions is briefly reviewed. The method is tested in a U(1) model with axial vector coupling in two and four dimensions.

High Energy Physics - Lattice · Physics 2009-10-22 W. Bock , J. Smit , J. C. Vink

Chiral gauge groups acting on a lattice fermion field are constructed such that all fermion modes (doublers) have the same charge. Details are given for an abelian axial gauge group within a perturbative framework. An action based on this…

High Energy Physics - Lattice · Physics 2007-05-23 Alan Horowitz

In this paper, using a model of N=2 supergravity - vector multiplets interaction with the scalar field geometry $SU(1,m)/SU(m)\otimes U(1)$ as an example, we show that even when the geometry is fixed one can have a whole family of the…

High Energy Physics - Theory · Physics 2010-04-06 Yu. M. Zinoviev

We introduce the notion of log R-maps, and develop a proper moduli stack of stable log R-maps in the case of a hybrid gauged linear sigma model. Two virtual cycles (canonical and reduced) are constructed for these moduli stacks. The main…

Algebraic Geometry · Mathematics 2021-08-09 Qile Chen , Felix Janda , Yongbin Ruan

In this paper, the line spectral estimation (LSE) problem with multiple measurement vectors (MMVs) is studied utilizing the Bayesian methods. Motivated by the recently proposed variational line spectral estimation (VALSE) method, we develop…

Information Theory · Computer Science 2018-11-29 Jiang Zhu , Qi Zhang , Peter Gerstoft , Mihai-Alin Badiu , Zhiwei Xu

The extended Linear Sigma Model (eLSM) is a hadronic model based on the global symmetries of QCD and the corresponding explicit, anomalous, and spontaneous breaking patterns. In its basic three-flavor form, its mesonic part contains the…

High Energy Physics - Phenomenology · Physics 2025-05-20 Francesco Giacosa , Péter Kovács , Shahriyar Jafarzade

Recently, Serfling and Xiao (2007) extended the L-moment theory (Hosking, 1990) to the multivariate setting. In the present paper, we focus on the two-dimension random vectors to establish a link between the bivariate L-moments (BLM) and…

Methodology · Statistics 2011-06-20 Brahim Brahimi , Fateh Chebana , Abdelhakim Necir

Analyzing an $SU_L(2)$-chiral gauge theory with external multifermion couplings, we find a possible scaling region where doublers decouple by acquiring chiral-invariant masses and $\psi_R$ is free mode owing to the $\psi_R$-shift-symmetry,…

High Energy Physics - Lattice · Physics 2008-02-03 She-Sheng Xue

The extended linear sigma model describes the vacuum phenomenology of scalar, pseudoscalar, vector and axial-vector mesons at energies \(\simeq 1\text{ GeV}\). We combine the chiral \(U(2)_L\times U(2)_R\) symmetry of this model with a…

High Energy Physics - Phenomenology · Physics 2015-06-24 A. Habersetzer , Francesco Giacosa

We formulate a supersymmetric version of gravity with mimetic dark matter. The coupling of a constrained chiral multiplet to N=1 supergravity is made locally supersymmetric using the rules of tensor calculus. The chiral multiplet is…

High Energy Physics - Theory · Physics 2026-01-07 Ali H. Chamseddine

We discuss superconformally invariant systems of hypermultiplets coupled to gauge fields associated with target-space isometries.

High Energy Physics - Theory · Physics 2009-10-31 Bernard de Wit , Bas Kleijn , Stefan Vandoren

The finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable solution to the…

Machine Learning · Computer Science 2021-12-30 Yongfa Ling , Wenbo Guan , Qiang Ruan , Heping Song , Yuping Lai
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