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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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36912 · Jun 202419922001200920172026
48 results for Higgs boson

In this paper we discuss the mechanism of spontaneous symmetry breaking from the point view of vacuum pairs, considered as ground states of a Yang-Mills-Higgs gauge theory. We treat a vacuum as a section in an appropriate bundle that is naturally associated with a minimum of a (general) Higgs potential. Such a vacuum s…

2002-11-05abs ↗pdf ↗

The model integrates Standard Model bosons into a higher-dimensional spacetime.

problem Integrating Standard Model bosons into a higher-dimensional spacetime.
method Considered a spacetime of the form P=M4imesKP = M_4 imes K with K=SU(3)K = \mathrm{SU}(3), integrating the Einstein-Hilbert Lagrangian density over KK.
result Encodes not only Yang-Mills terms but also a kinetic term for the Higgs field and potential for gauge bosons.

New method for unbinned, profiled unfolding in particle physics.

problem Traditional unfolding methods are limited in the number of unfolded variables and cannot profile nuisance parameters.
method Proposes a machine learning-based method that allows for unbinned differential cross sections and profiles nuisance parameters.
result Demonstrates the method with Gaussian examples and a simulated Higgs boson cross section measurement.

Improved ANN-based Monte Carlo simulation for Higgs decay events.

problem Accurate simulation of Higgs boson decay events.
method Monte Carlo simulation using an Artificial Neural Network (ANN) with improved training algorithm.
result The ANN simulation of Higgs decay is within 0.7% of the true value and achieves 26% unweighting efficiency.

Artificial neural networks typically have a fixed, non-linear activation function at each neuron. We have designed a novel form of piecewise linear activation function that is learned independently for each neuron using gradient descent. With this adaptive activation function, we are able to improve upon deep neural ne…

2014-12-21abs ↗pdf ↗

A common problem in a high energy physics experiment is extracting a signal from a much larger background. Posed as a classification task, there is said to be an imbalance in the number of samples belonging to the signal class versus the number of samples from the background class. In this work we provide a brief overv…

2019-05-01abs ↗pdf ↗

Training features used to analyse physical processes are often highly correlated and determining which ones are most important for the classification is a non-trivial tasks. For the use case of a search for a top-quark pair produced in association with a Higgs boson decaying to bottom-quarks at the LHC, we compare feat…

2019-06-13abs ↗pdf ↗

New method uses machine learning to estimate sensitivity without binning.

problem Estimating sensitivity of high-dimensional data sets without binning.
method Combines machine-learning classification with likelihood-based inference tests using Kernel Density Estimators.
result Significance estimation is not sensitive to non-smooth probability distributions.

It is shown that in the semi-classical approximation of the electroweak sector of the Standard Model the moduli space of vacua can be identified with the first de Rham cohomology group of space-time. This gives a slightly different physical interpretation of the occurrence of the well-known Ahoronov-Bohm effect. Moreov…

2003-10-17abs ↗pdf ↗

Transformers predict scattering amplitudes in theoretical physics.

problem Computing exact coefficients of scattering amplitudes in N = 4 SYM theory.
method Applied Transformers to predict integer coefficients of scattering amplitudes.
result Transformers achieve high (> 98%) accuracy on predicting scattering amplitudes.

The paper studies how test particles' mass and charge vary in Kaluza-Klein models.

problem Understanding how test particles' mass and charge change in Kaluza-Klein models.
method Analyzes geodesic motion in a 5D Kaluza-Klein spacetime with background metrics encoding 4D gauge fields and Higgs-like scalars.
result The mass and charge of test particles become variable when traversing regions with massive gauge fields or non-constant Higgs scalars.

Defines Killing spinors and bosonic backgrounds in 5D supergravity.

problem Characterizing backgrounds in 5D supergravity.
method Calculates Spencer cohomology, defines Killing spinors, and imposes constraints on spinor connection curvature.
result Recover field equations of 5D supergravity and find new field equations for sp(1)\mathfrak{sp}(1)-valued one-form.

We prove the existence of a unique global weak solution to the full bosonic string heat flow from closed Riemannian surfaces to an arbitrary target under smallness conditions on the two-form and the scalar potential. The solution is smooth with the exception of finitely many singular points. Finally, we discuss the con…

2017-10-25abs ↗pdf ↗

This paper mainly aims to establish the well-posedness on time interval [0,ε12T][0,\varepsilon^{-\frac{1}{2}}T] of the classical initial problem for the bosonic membrane in the light cone gauge. Here ε\varepsilon is the small parameter measures the nonlinear effects. In geometric, the bosonic membrane are timelike submanifo…

2013-06-09abs ↗pdf ↗

We study harmonic maps from surfaces coupled to a scalar and a two-form potential, which arise as critical points of the action of the full bosonic string. We investigate several analytic and geometric properties of these maps and prove an existence result by the heat flow method.

2015-10-29abs ↗pdf ↗

Paper studies convergence of Yang-Mills-Higgs flow on Kähler manifolds.

problem Analyzing convergence of Yang-Mills-Higgs flow for twisted Higgs pairs.
method Proves convergence to a reflexive twisted Higgs sheaf outside a closed subset.
result Limiting twisted Higgs sheaf is isomorphic to the double dual of graded twisted Higgs sheaves.

In this paper, we consider the gradient flow of the Yang-Mills-Higgs functional for Higgs pairs on a Hermitian vector bundle (E,H0)(E, H_{0}) over a compact Kähler manifold (M,ω)(M, ω). We study the asymptotic behavior of the Yang-Mills-Higgs flow for Higgs pairs at infinity, and show that the limiting Higgs sheaf is isomorph…

2014-10-30abs ↗pdf ↗

Using probabilistic methods, we first define Liouville quantum field theory on Riemann surfaces of genus g2\mathbf{g}\geq 2 and show that it is a conformal field theory. We use the partition function of Liouville quantum field theory to give a mathematical sense to Polyakov's partition function of noncritical bosonic s…

2016-07-28abs ↗pdf ↗

In this paper, we introduce some notions on the pair consisting of a Chern connection and a Higgs field closely related to the first and second variation of Yang-Mills- Higgs functional, such as strong Yang-Mills-Higgs pair, degenerate Yang-Mills-Higgs pair, stable Yang-Mills-Higgs pair. We investigate some properties …

2015-02-06abs ↗pdf ↗

The paper studies the moduli space of Higgs pairs and their geometric properties.

problem The moduli space of Higgs pairs and its geometric properties.
method Introduced ττ-stability of Higgs pairs and established the Kobayashi-Hitchin correspondence.
result Proved that the moduli space is a non-singular complex manifold for a suitable choice of ττ.

We develop, discuss, and compare several inference techniques to constrain theory parameters in collider experiments. By harnessing the latent-space structure of particle physics processes, we extract extra information from the simulator. This augmented data can be used to train neural networks that precisely estimate …

2018-04-30abs ↗pdf ↗

Improved sensitivity to Higgs potential through neural simulation-based inference for di-Higgs events.

problem Improving sensitivity to physics beyond the Standard Model through di-Higgs events.
method Simulation-based inference using neural networks to estimate per-event likelihood ratios.
result Adding kinematic observables improves experimental sensitivity to Higgs self-coupling.

We consider the gradient flow of the Yang-Mills-Higgs functional of twist Higgs pairs on a Hermitian vector bundle (E,H0)(E,H_0) over a Riemann surface XX. It is already known the gradient flow with initial data (A0,φ0)(A_0,φ_0) converges to a critical point (A,φ)(A_\infty, φ_\infty) of this functional. Using a modified Chern-Wei…

2012-09-18abs ↗pdf ↗

Study finds conditions for minimum of Donaldson's functional on Higgs bundles with non-holomorphic Higgs fields.

problem Finding conditions for minimum of Donaldson's functional on Higgs bundles with non-holomorphic Higgs fields.
method Restriction of Donaldson's functional to diagonal metrics on Higgs bundles with non-holomorphic Higgs fields.
result Provides necessary and sufficient conditions for the functional to attain a minimum.

On a complex manifold, a co-Higgs bundle is a holomorphic vector bundle with an endomorphism twisted by the tangent bundle. The notion of generalized holomorphic bundle in Hitchin's generalized geometry coincides with that of co-Higgs bundle when the generalized complex manifold is ordinary complex. Schwarzenberger's r…

2013-09-26abs ↗pdf ↗

NSBI approach detects Higgs trilinear coupling with high luminosity upgrade constraints.

problem Determining the Higgs trilinear self-coupling via off-shell Higgs production.
method Hybrid neural simulation-based inference (NSBI) incorporating SMEFT and quantum interference effects.
result NSBI achieves sensitivity close to theoretical optimum for Higgs trilinear self-coupling.

In this article, we study the Higgs vector bundles (E,θ)(E,θ) over a compact Calabi-Yau manifolds XX. We use Yang-Mills-Higgs flow to prove that if a semistable Higgs bundle with vanishing Chern classes over a compact connected Calabi-Yau manifold, then the Higgs field θθ is trivial. In particular, the vector bundle EE

2017-05-03abs ↗pdf ↗

Researchers can retrieve Yang-Mills-Higgs fields from Minkowski space measurements.

problem Retrieving Yang-Mills-Higgs fields from active local measurements in Minkowski space.
method Exploiting non-linear wave interactions and Lie algebra structure.
result Yang-Mills-Higgs fields can be retrieved from source-to-solution data.

The paper examines Yang-Mills-Higgs pairs on vector bundles and proves stability and energy identity.

problem Stability and energy identity of Yang-Mills-Higgs pairs on vector bundles.
method Bubble-neck decomposition and analysis of weakly stable pairs.
result A sequence of Yang-Mills-Higgs pairs converges to a Yang-Mills-Higgs pair with uniformly bounded energy.

Study on harmonic metrics for rank 3 Higgs bundles in Hitchin section.

problem Finding compatible harmonic metrics for rank 3 Higgs bundles in the Hitchin section.
method Defined a symmetric pairing and studied spectral curves as 2-sheeted branched coverings.
result Gave a condition for Higgs bundles on C\mathbb{C} or C\mathbb{C}^* to have compatible harmonic metrics.

We review the notion of Gieseker stability for torsion-free Higgs sheaves. This notion is a natural generalization of the classical notion of Gieseker stability for torsion-free coherent sheaves. We prove some basic properties that are similar to the classical ones for torsion-free coherent sheaves over projective alge…

2016-03-09abs ↗pdf ↗

The paper defines and analyzes higher-order Yang-Mills-Higgs functionals and their gradient flows.

problem Analyzing the behavior of higher-order Yang-Mills-Higgs functionals and their gradient flows.
method Gauge fixing technique, L2L^2-bound of the Higgs field, local L2L^2-derivative estimates, energy estimates, blow-up analysis.
result Solutions to the gradient flow do not hit finite time singularities under certain conditions.