Zobrazeno 1 - 10
of 530
pro vyhledávání: '"CUNHA, BRUNO"'
We study quasinormal modes of massive scalar perturbations in Kerr black holes using the isomonodromic method. For arbitrary scalar masses $M \mu$ and black hole spins $a/M$, we numerically determine the quasinormal frequencies for various orbital $\
Externí odkaz:
http://arxiv.org/abs/2408.13964
We employ the isomonodromic method to study linear scalar massive perturbations of Kerr black holes for generic scalar masses $M\mu$ and generic black hole spins $a/M$. We find that the longest-living quasinormal mode and the first overtone coincide
Externí odkaz:
http://arxiv.org/abs/2407.20850
Autor:
Ribeiro, Haroldo V., Lopes, Diego D., Pessa, Arthur A. B., Martins, Alvaro F., da Cunha, Bruno R., Goncalves, Sebastian, Lenzi, Ervin K., Hanley, Quentin S., Perc, Matjaz
Publikováno v:
Chaos, Solitons & Fractals 172, 113579 (2023)
Recent advances in deep learning methods have enabled researchers to develop and apply algorithms for the analysis and modeling of complex networks. These advances have sparked a surge of interest at the interface between network science and machine
Externí odkaz:
http://arxiv.org/abs/2304.08457
We propose a relation the expansions of regular and irregular semiclassical conformal blocks at different branch points making use of the connection between the accessory parameters of the BPZ decoupling equations to the logarithm derivative of isomo
Externí odkaz:
http://arxiv.org/abs/2211.03551
Autor:
Cunha, Bruno Santos
O presente trabalho tem por escopo analisar a aplicabilidade da Lei Federal n. 9.784/99 (Lei de Processo Administrativo Federal LPAF). A partir do exame das expressões doutrinárias do direito e do processo administrativo no Brasil, busca-se investi
Autor:
Lopes, Diego D., da Cunha, Bruno R., Martins, Alvaro F., Goncalves, Sebastian, Lenzi, Ervin K., Hanley, Quentin S., Perc, Matjaz, Ribeiro, Haroldo V.
Publikováno v:
Sci. Rep. 12, 15746 (2022)
Recent research has shown that criminal networks have complex organizational structures, but whether this can be used to predict static and dynamic properties of criminal networks remains little explored. Here, by combining graph representation learn
Externí odkaz:
http://arxiv.org/abs/2209.03171
Autor:
Martins, Alvaro F., da Cunha, Bruno R., Hanley, Quentin S., Goncalves, Sebastian, Perc, Matjaz, Ribeiro, Haroldo V.
Publikováno v:
Sci. Rep. 12, 6858 (2022)
Corruption crimes demand highly coordinated actions among criminal agents to succeed. But research dedicated to corruption networks is still in its infancy and indeed little is known about the properties of these networks. Here we present a comprehen
Externí odkaz:
http://arxiv.org/abs/2204.05097