Hadrons described by the nonlinear sigma model minimally coupled to Maxwell theory modify photon paths away from null geodesics, enabling analytic hadronic corrections to gravitational lensing deflection angles.
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No regular purely electric black strings exist in NED recovering the Maxwell limit, but regular cylindrical Bardeen and Hayward analogues are constructed with finite curvature.
A specially regularized hyperbolic field space in a two-field model allows a stable non-singular bounce that preserves the null energy condition, remains BKL-stable, and recovers exact Starobinsky predictions on all observable scales after pushing bounce features far beyond reach.
The work calculates scalar quasinormal mode spectra for a rotating quantum-corrected black hole and constructs a methodological pipeline to infer the quantum correction parameter from gravitational-wave ringdown data using informative priors.
citing papers explorer
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Hadronic lensing
Hadrons described by the nonlinear sigma model minimally coupled to Maxwell theory modify photon paths away from null geodesics, enabling analytic hadronic corrections to gravitational lensing deflection angles.
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On regular black strings spacetimes in nonlinear electrodynamics
No regular purely electric black strings exist in NED recovering the Maxwell limit, but regular cylindrical Bardeen and Hayward analogues are constructed with finite curvature.
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Robust Non-Singular Bouncing Cosmology from Regularized Hyperbolic Field Space
A specially regularized hyperbolic field space in a two-field model allows a stable non-singular bounce that preserves the null energy condition, remains BKL-stable, and recovers exact Starobinsky predictions on all observable scales after pushing bounce features far beyond reach.
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The quasinormal modes of the rotating quantum corrected black holes
The work calculates scalar quasinormal mode spectra for a rotating quantum-corrected black hole and constructs a methodological pipeline to infer the quantum correction parameter from gravitational-wave ringdown data using informative priors.