A theoretical Einstein–Maxwell calculation follows one time-dependent charged, radiating stellar interior. It reports favorable and unfavorable diagnostics, while its exact solution is limited to a special mathematical construction.
A theoretical calculation coupling freezing gravity to a minimally coupled perfect fluid retains the model’s separation between background and perturbation physics and its linear large-scale freezing. It also derives analytic conditions for ghost and gradient stability, while leaving nonlinear behavior and strong coupling unresolved.
The study models a family of asymptotically de Sitter spacetimes and compares their simulated shadows, photon rings and axial gravitational quasinormal modes. Its main contrast is between modest optical changes and more pronounced shifts in part of the calculated spectrum.
A numerical arXiv preprint reports that five simulated compact-binary inspirals with spin inversions were matched extremely closely by physically evolving waveforms in which spin projections never crossed zero. The result points to a modeling degeneracy that future complete-waveform studies will need to test.
A new arXiv preprint models a spherical star whose core contains ordinary matter and a second component interpreted as dark matter. The calculations identify where the model has finite positive central pressure, trace how its critical compactness changes with core parameters, and show that the same overall compactness can conceal different internal matter distributions.
A theoretical preprint presents a target-space method for generating exact Einstein–sigma-model and tensor–multiscalar solutions from selected Ricci-flat geometries. Its strongest results are local and conditional, and one black-hole example develops a curvature singularity in the nontrivial scalar branch.
A new arXiv preprint presents a numerical treatment of a non-closed term in harmonic-gauge 2PN N-body equations and tests it in two three-body benchmark systems.
A computational study finds a sharp split in performance: the model was internally calibrated when it generated and recovered its own waveforms, but showed systematic bias when machine-learning waveforms recovered effective-one-body signals.