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arXiv 2408.09620gr-qc
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利用 EHT 数据通过黑洞阴影对 Lorentz 破缺 Bumblebee 参数进行弱场偏转角与解析参数估计

Weak field deflection angle and analytical parameter estimation of the Lorentz-violating Bumblebee parameter through the black hole shadow using EHT data

Gaetano Lambiase, Reggie C. Pantig, Ali Övgün

AI总结:

本文基于 Gauss-Bonnet 定理推导 Bumblebee Lorentz 破缺黑洞的弱偏转与阴影解析关系,并结合太阳系检验及 EHT 对 Sgr. A*、M87* 的观测约束参数 $\ell$。

摘要:

我们在弱场偏转角和黑洞阴影的背景下,探究了 Lorentz 对称性破缺参数 $\ell$ 如何影响 Reissner-Nordstöm 黑洞解。我们旨在利用非渐近版本的 Gauss-Bonnet 定理推导弱偏转角的一般表达式,并提出了一种在源与接收者距离相同的假设下简化计算的方法。通过太阳系检验,$\ell$ 被约束在约 $-10^{-9}$ 数量级至 0 之间,这意味着通过太阳光线偏转探测 $\ell$ 具有挑战性。我们还以解析方式研究了黑洞阴影,其中在远场近似下应用 EHT 结果,以获得 $\ell$ 的估计表达式。利用 Sgr. A* 和 M87* 的黑洞质量与观测者距离的真实数值,结果表明满足 $M/r_{\rm o} \neq 1$,这意味着自发 Lorentz 对称性破缺参数对 EHT 所测阴影半径不确定性的作用具有相关性和潜在前景。我们发现 $\ell$ 的约束为负值,其上下界分别约为 $-1.94$ 和 $-2.04$。

英文摘要:

We explored how the Lorentz symmetry breaking parameter $\ell$ affects the Reissner-Nordstöm BH solution in the context of weak field deflection angle, and the black hole shadow. We aim to derive the general expression for the weak deflection angle using the non-asymptotic version of the Gauss-Bonnet theorem, and we presented a way to simplify the calculations under the assumption that the distance of the source and the receiver are the same. \textcolor{black}{Through the Solar System test, $\ell$ is constrained from around $-10^{-9}$ orders of magnitude to $0$, implying challenging detection of $\ell$ through the deflection of light rays from the Sun.} We also studied the black hole shadow in an analytic way, where we applied the EHT results under the far approximation in obtaining an estimate expression for $\ell$. Using the realistic values of the black hole mass and observer distance for Sgr. A* and M87*, it was shown that $M/r_{\rm o} \neq 1$ is satisfied, implying the relevance and potential promise of the spontaneous Lorentz symmetry breaking parameter's role on the shadow radius uncertainties as measured by the EHT. \textcolor{black}{We find constraints for $\ell$ to be negatively valued, where the upper and lower bounds are $\sim -1.94$ and $\sim -2.04$, respectively.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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