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pro vyhledávání: '"Guseva, Anna A."'
Planets and stars are able to generate coherent large-scale magnetic fields by helical convective motions in their interiors. This process, known as hydromagnetic dynamo, involves nonlinear interaction between the flow and magnetic field. Nonlinearit
Externí odkaz:
http://arxiv.org/abs/2405.10981
Autor:
Guseva, Anna
Parker's mean-field model includes two processes generating large-scale oscillatory dynamo waves: stretching of magnetic field lines by small-scale helical flows, and by differential rotation. In this work, we investigate the capacity of data-driven
Externí odkaz:
http://arxiv.org/abs/2401.04505
Autor:
Guseva, Anna, Tobias, Steven M.
Taylor-Couette flow is often used as a simplified model for complex rotating flows in the interior of stars and accretion disks. The flow dynamics in these objects is influenced by magnetic fields. For example, quasi-Keplerian flows in Taylor-Couette
Externí odkaz:
http://arxiv.org/abs/2211.05545
Autor:
Guseva, Anna, Jimenez, Javier
Opposition flow control is a robust strategy that has been proved effective in turbulent wall-bounded flows. Its conventional setup consists of measuring wall-normal velocity in the buffer layer and opposing it at the wall. This work explores the pos
Externí odkaz:
http://arxiv.org/abs/2112.08173
Publikováno v:
Phys. Rev. Lett. 119, 164501 (2017)
We numerically compute the flow of an electrically conducting fluid in a Taylor-Couette geometry where the rotation rates of the inner and outer cylinders satisfy $\Omega_o/\Omega_i=(r_o/r_i)^{-3/2}$. In this quasi-Keplerian regime a non-magnetic sys
Externí odkaz:
http://arxiv.org/abs/1708.07695
Publikováno v:
Astrophys. J., 849:92, 2017
The magnetorotational instability (MRI) is thought to be a powerful source of turbulence in Keplerian accretion disks. Motivated by recent laboratory experiments, we study the MRI driven by an azimuthal magnetic field in an electrically conducting fl
Externí odkaz:
http://arxiv.org/abs/1705.03785
Publikováno v:
In Procedia Computer Science 2021 190:500-507
Autor:
Gudkov, Pavel G. a, Guseva, Anna I. a
Publikováno v:
In Procedia Computer Science 2021 190:284-291
Publikováno v:
In Procedia Computer Science 2021 190:301-311
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