Version 1
: Received: 17 August 2021 / Approved: 18 August 2021 / Online: 18 August 2021 (14:31:11 CEST)
How to cite:
Övgün, A. Connection between Sinc Approximation for High-Energy Absorption Cross Section and Shadow of Black Holes. Preprints2021, 2021080390. https://doi.org/10.20944/preprints202108.0390.v1
Övgün, A. Connection between Sinc Approximation for High-Energy Absorption Cross Section and Shadow of Black Holes. Preprints 2021, 2021080390. https://doi.org/10.20944/preprints202108.0390.v1
Övgün, A. Connection between Sinc Approximation for High-Energy Absorption Cross Section and Shadow of Black Holes. Preprints2021, 2021080390. https://doi.org/10.20944/preprints202108.0390.v1
APA Style
Övgün, A. (2021). Connection between Sinc Approximation for High-Energy Absorption Cross Section and Shadow of Black Holes. Preprints. https://doi.org/10.20944/preprints202108.0390.v1
Chicago/Turabian Style
Övgün, A. 2021 "Connection between Sinc Approximation for High-Energy Absorption Cross Section and Shadow of Black Holes" Preprints. https://doi.org/10.20944/preprints202108.0390.v1
Abstract
This letter aims to show the connection between the sinc approximation for high-energy absorption cross section and the shadow radius of the spherically symmetric black hole. This connection can give a physical interpretation of the absorption cross section in the eikonal limit parameters. Moreover, the use of this alternative way, one can extract its shadow radius from the absorption cross section in high energy limits to gain more information about the black hole spacetime. Our results indicate that the increasing the value of the shadow radius of the black hole, exponentially increase the the absorption cross section of the black hole in high-energy limits which can be captured by the Event Horizon Telescope (EHT) collaboration.
Keywords
Gravitation; Black hole; Shadow; High-energy physics; Cross-section; Null geodesics
Subject
Physical Sciences, Atomic and Molecular Physics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.