4.7 Article

Shadows and precession of orbits in rotating Janis-Newman-Winicour spacetime

期刊

EUROPEAN PHYSICAL JOURNAL C
卷 82, 期 1, 页码 -

出版社

SPRINGER
DOI: 10.1140/epjc/s10052-022-10045-1

关键词

-

资金

  1. SCOAP3

向作者/读者索取更多资源

In this paper, a rotating Janis-Newman-Winicour (JNW) naked singularity spacetime is constructed using the Newman-Janis Algorithm (NJA). The shadows cast by the rotating JNW naked singularity are studied and compared with the shadows cast by the Kerr black hole. It is found that the shadow of the rotating naked singularity can be distinguished from the shadow of the Kerr black hole. Additionally, the precession of timelike bound orbits in rotating JNW spacetime is analyzed and a negative precession is observed, which is not present in the Kerr black hole case. These novel signatures of the shadow and orbital precession in rotating JNW naked singularity spacetime could be important in the context of recent astronomical observations.
In this paper, we construct the rotating Janis-Newman-Winicour (JNW) naked singularity spacetime using Newman-Janis Algorithm (NJA). We analyse NJA with and without complexification methods and find that the energy conditions do satisfied when we skip the complexification step. We study the shadows cast by rotating JNW naked singularity and compare them with the shadows cast by the Kerr black hole. We find that the shadow of the rotating naked singularity can be distinguished from the shadow of the Kerr black hole. While we analyse the precession of timelike bound orbits in rotating JNW spacetime, we find that it can have a negative (or opposite) precession, which is not present in the Kerr black hole case. These novel signatures of the shadow and orbital precession in rotating JNW naked singularity spacetime could be important in the context of the recent observation of the shadow of the M87 galactic center and the stellar dynamics of 'S-stars' around Milkyway galactic center.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据