Detailed Information on Publication Record
2019
Determination of chaotic behaviour in time series generated by charged particle motion around magnetized Schwarzschild black holes
PÁNIS, Radim, Martin KOLOŠ and Zdeněk STUCHLÍKBasic information
Original name
Determination of chaotic behaviour in time series generated by charged particle motion around magnetized Schwarzschild black holes
Authors
PÁNIS, Radim (703 Slovakia, guarantor, belonging to the institution), Martin KOLOŠ (203 Czech Republic, belonging to the institution) and Zdeněk STUCHLÍK (203 Czech Republic, belonging to the institution)
Edition
European Physical Journal C, 2019, 1434-6044
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
10308 Astronomy
Country of publisher
Germany
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
RIV identification code
RIV/47813059:19240/19:A0000420
Organization unit
Faculty of Philosophy and Science in Opava
UT WoS
000470781800003
Keywords in English
Keplerian disk; magnetized black hole; chaos; particle motion
Tags
Tags
International impact, Reviewed
Links
GB14-37086G, research and development project. GJ16-03564Y, research and development project.
Změněno: 20/3/2020 09:28, RNDr. Jan Hladík, Ph.D.
Abstract
V originále
We study behaviour of ionized region of a Keplerian disk orbiting a Schwarzschild black hole immersed in an asymptotically uniform magnetic field. In dependence on the magnetic parameter B, and inclination angle Theta of the disk plane with respect to the magnetic field direction, the charged particles of the ionized disk can enter three regimes: (1) regular oscillatory motion, (2) destruction due to capture by the magnetized black hole, (3) chaotic regime of the motion. In order to study transition between the regular and chaotic type of the charged particle motion, we generate time series of the solution of equations of motion under various conditions, and study them by non-linear (box counting, correlation dimension, Lyapunov exponent, recurrence analysis, machine learning) methods of chaos determination. We demonstrate that the machine learning method appears to be the most efficient in determining the chaotic region of the Theta-r space. We show that the chaotic character of the ionized particle motion increases with the inclination angle. For the inclination angles Theta approximate to 0 whole the ionized internal part of the Keplerian disk is captured by the black hole.