Výsledky vyhledávání

Report

Geodesics in Carrollian Reissner-Nordstr\'om black holes

In this work, we study the geodesics in different types of Carrollian RN (Reissner-Nordstr\"om) black holes, considering the motions of both neutral and charged particles. We use the geodesic equations in the weak Carrollian structure and analyze the

Externí odkaz: http://arxiv.org/abs/2410.20420

Zobrazit plný text záznamu

Report

Quantization of Carrollian conformal scalar theories

Autor: Chen, Bin, Sun, Haowei, Zheng, Yu-fan

In this work, we study the quantization of Carrollian conformal scalar theories, including two-dimensional(2D) magnetic scalar and three-dimensional(3D) electric and magnetic scalars. We discuss two different quantization schemes, depending on the ch

Externí odkaz: http://arxiv.org/abs/2406.17451

Zobrazit plný text záznamu

Report

On self-dual Carrollian conformal nonlinear electrodynamics

Autor: Chen, Bin, Hou, Jue, Sun, Haowei

In this work, we study the duality symmetry group of Carrollian (nonlinear) electrodynamics and propose a family of Carrollian ModMax theories, which are invariant under Carrollian $\text{SO}(2)$ electromagnetic (EM) duality transformations and confo

Externí odkaz: http://arxiv.org/abs/2405.04105

Zobrazit plný text záznamu

Report

Constructing Carrollian Field Theories from Null Reduction

Autor: Chen, Bin, Liu, Reiko, Sun, Haowei, Zheng, Yu-fan

In this paper, we propose a novel way to construct off-shell actions of $d$-dimensional Carrollian field theories by considering the null-reduction of the Bargmann invariant actions in $d+1$ dimensions. This is based on the fact that $d$-dimensional

Externí odkaz: http://arxiv.org/abs/2301.06011

Zobrazit plný text záznamu

Report

Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates

Autor: Yang, Jingxuan, Sun, Haowei, He, Honglin, Zhang, Yi, Feng, Shuo, Liu, Henry X.

Safety performance evaluation is critical for developing and deploying connected and automated vehicles (CAVs). One prevailing way is to design testing scenarios using prior knowledge of CAVs, test CAVs in these scenarios, and then evaluate their saf

Externí odkaz: http://arxiv.org/abs/2212.00517

Zobrazit plný text záznamu