J 2020

Einstein-scalar-Gauss-Bonnet black holes: Analytical approximation for the metric and applications to calculations of shadows

KONOPLYA, Roman, Thomas PAPPAS and Olexandr ZHYDENKO

Basic information

Original name

Einstein-scalar-Gauss-Bonnet black holes: Analytical approximation for the metric and applications to calculations of shadows

Authors

KONOPLYA, Roman (804 Ukraine, belonging to the institution), Thomas PAPPAS (300 Greece, belonging to the institution) and Olexandr ZHYDENKO (804 Ukraine, belonging to the institution)

Edition

Physical Review D, 2020, 2470-0010

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10308 Astronomy

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

URL

RIV identification code

RIV/47813059:19630/20:A0000034

Organization unit

Institute of physics in Opava

DOI

http://dx.doi.org/10.1103/PhysRevD.101.044054

UT WoS

000517256400005

Keywords in English

Einstein-scalar-Gauss-Bonnet (EsGB) gravity;field equations

Tags

, FÚ2020, GA19-03950S, RIV21

Tags

International impact, Reviewed

Links

GA19-03950S, research and development project.
Změněno: 19/4/2021 14:28, Mgr. Pavlína Jalůvková

Abstract

V originále

Recently, numerical solutions to the field equations of Einstein-scalar-Gauss-Bonnet (EsGB) gravity that correspond to black holes with nontrivial scalar hair have been reported. Here, we employ the method of the continued-faction expansion in terms of a compact coordinate in order to obtain an analytical approximation for the aforementioned solutions. For a wide variety of coupling functionals to the Gauss-Bonnet term we were able to obtain analytical expressions for the metric functions and the scalar field. In addition we estimated the accuracy of these approximations by calculating the black-hole shadows for such black holes. Excellent agreement between the numerical solutions and analytical approximations has been found.
Displayed: 27/12/2024 08:38