J 2019

Determination of chaotic behaviour in time series generated by charged particle motion around magnetized Schwarzschild black holes

PÁNIS, Radim, Martin KOLOŠ and Zdeněk STUCHLÍK

Basic 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

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.