| Autor: |
Elaheh Hayati, Peter Behroozi, Ekta Patel |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
The Open Journal of Astrophysics, Vol 7 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2565-6120 |
| DOI: |
10.33232/001c.116178 |
| Popis: |
Despite the Milky Way's proximity to us, our knowledge of its dark matter halo is fairly limited, and there is still considerable uncertainty in its halo mass. Many past techniques have been limited by assumptions such as the Galaxy being in dynamical equilibrium as well as nearby galaxies being true satellites of the Galaxy, and/or the need to find large samples of Milky Way analogs in simulations.Here, we propose a new technique based on neural networks that obtains high precision ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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