at Google ScholarTitle data
Straub, Christopher ; Wolfschmidt, Sebastian:
EVStabilityNet: predicting the stability of star clusters in general relativity.
In: Classical and Quantum Gravity.
Vol. 41
(2024)
Issue 6
.
- 065002.
ISSN 1361-6382
DOI: https://doi.org/10.1088/1361-6382/ad228a
Abstract in another language
We present a deep neural network which predicts the stability of isotropic steady states of the asymptotically flat, spherically symmetric Einstein–Vlasov system in Schwarzschild coordinates. The network takes as input the energy profile and the redshift of the steady state. Its architecture consists of a U-Net with a dense bridge. The network was trained on more than ten thousand steady states using an active learning scheme and has high accuracy on test data. As first applications, we analyze the validity of physical hypotheses regarding the stability of the steady states.
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professorship Applied Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professorship Applied Mathematics > Professor Applied Mathematics - Univ.-Prof. Dr. Gerhard Rein |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 500 Science > 510 Mathematics |
| Date Deposited: | 12 Feb 2024 07:35 |
| Last Modified: | 12 Feb 2024 07:35 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/88522 |