S2-star dynamics probing the Galaxy core cluster
arXiv:2409.10567 · doi:10.1140/epjp/s13360-024-05619-9
Abstract
The star cluster surrounding the supermassive black hole in the center of Milky Way is probed using the data on the S2 star. The value of precession found at the physics-informed neural networks (PINN) analysis of the S2 data is used to consider the role of the scattering of S2 star on stars of the cluster, described by a random force given by the Holtsmark distribution. The critical value for the star density of the core cluster for which the observed precession value by PINN lies inside 70% confidence interval (between 15% and 85% quantiles) around the median of precession due to scattering, is obtained as n_crit \approx 8.3 10^6 pc^-3, that is at higher star densities the perturbation of the orbit of S2 would exceed the observed one.
6 pages, 5 figs; Eur Phys J Plus (in press)
References in corpus (13)
- First M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole
- First Sagittarius A* Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole in the Center of the Milky Way
- An Update on Monitoring Stellar Orbits in the Galactic Center
- Apoastron Shift Constraints on Dark Matter Distribution at the Galactic Center
- An Improved Test of the General Relativistic Effect of Frame-Dragging Using the LARES and LAGEOS Satellites
- Black hole shadow to probe modified gravity
- A new laser-ranged satellite for General Relativity and space geodesy: I. An introduction to the LARES2 space experiment
- The cosmological constant derived via galaxy groups and clusters
- Hubble tension vs two flows
- Estimating the Parameters of Extended Gravity Theories with the Schwarzschild Precession of S2 Star
- A new laser-ranged satellite for General Relativity and space geodesy: III. De Sitter effect and the LARES 2 space experiment
- Neural Network Analysis of S-Star Dynamics: Implications for Modified Gravity
- Neural Network Analysis of S2-Star Dynamics: Extended mass