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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-23 18:26 |
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Conference: Bucharest University Faculty of Physics 2023 Meeting
Section: Theoretical Physics and Applied Mathematics
Title:
Dynamical aspects for cosmological models with a machine learning approach
Authors:
Florin Vlad IANCU (1), Dana Maria IOAN (1), Mihai MARCIU (1), Roxana ZUS (1), Virgil BARAN (1)
*
Affiliation:
1) Faculty of Physics, University of Bucharest, Romania
E-mail
iancu@hotmail.co.uk
Keywords:
cosmology, dark energy, neural networks
Abstract:
The evolution of the Hubble parameter is studied by considering a novel approach based on a neural network architecture. The fundamental properties of the background expansion are investigated in a nonparametric technique, obtaining the redshift dependence of the Hubble parameter at low redshifts. For low redshifts we have applied various reconstruction methods, obtaining the possible evolution of the effective equation of state in different cosmological theories.
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