Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Noshad, Hajar"'
Expanding on the research on physics-informed neural networks (PINNs) to solve the eigenvalue problems in black hole (BH) perturbation theory, the supervised learning approach was investigated to solve the Regge-Wheeler and Teukolsky equations govern
Externí odkaz:
http://arxiv.org/abs/2402.11343
Rich physics can be divined from charged black holes subjected to extremal conditions. When applied in conjunction with principles like Weak Cosmic Censorship, this naturally leads to constraints on the mass and charge of the black hole. However, mor
Externí odkaz:
http://arxiv.org/abs/2310.07311
Publikováno v:
EPJC 82(2022) 394
In this paper, a modified version of the hydrostatic equilibrium equation based on the mimetic gravity in the presence of perfect fluid is revisited. By using the different known equation of states, the structural properties of neutron stars are inve
Externí odkaz:
http://arxiv.org/abs/2111.03924
Publikováno v:
Nucl. Phys. B 934, 408-436 (2018)
Scalar glueball is implemented in single nonet linear sigma model (SNLSM) which basically includes lowest lying scalar and pseudoscalar mesons. Our new version of SNLSM involves mixing among scalar matter fields and glueball field which is enforced b
Externí odkaz:
http://arxiv.org/abs/1804.08896
Autor:
Noshad, Hajar1,2,3 (AUTHOR), Hendi, Seyed Hossein1,2,4 (AUTHOR) hendi@shirazu.ac.ir, Panah, Behzad Eslam5,6,7 (AUTHOR)
Publikováno v:
European Physical Journal C -- Particles & Fields. May2022, Vol. 82 Issue 5, p1-19. 19p.
