论文标题

重新审视遥远大麻中光谱异常的证据:光子混合的新数据

Revisiting the evidences for spectral anomalies in distant blazars: new data on the photon-ALP mixing

论文作者

Cenedese, Francesco, Franceschini, Alberto, Galanti, Giorgio

论文摘要

我们以成像大气Cherenkov望远镜(IACTS)的成像在非常高的能量(VHES)下观察到的大量频谱参数的红移重新检查。这与评估光子与轴突样粒子(ALP)混合的源距离的潜在影响有关,这将深深影响VHE光子在宇宙中的传播。我们将光谱分析集中在38个BL LAC对象(32个高峰和6个中间峰)上,直至红移$ z \ simeq 0.5 $,以及一小部分5平方频谱无线电类准,最多$ z = 1 $ $ $ $ $ $ $ $ $,以独立增加红色速度基线。这些来源的78个独立光谱首先是针对伽玛 - 伽马与光子外背景光的光子进行仔细校正的,这是负责主要的红移依赖性不透明度效应。然后,校正光谱拟合了简单的幂律,以推断VHE的固有光谱指数$γ_ {\ rm em} $,以测试以下假设:这种光谱特性是由局部而不是全球宇宙学环境设定的。我们发现一些系统的抗相关性,红移为$γ_ {\ rm em} $,这可能表明,尽管具有低显着性,但光谱异常可能需要修改光子传播过程。具有更高统计意义的更确定的测试将需要即将推出的新一代Cherenkov阵列(CTA,Astri,Lhaaso)提供的观察性改进。

We re-examine possible dependencies on redshift of the spectral parameters of blazars observed at very-high energies (VHEs) with Imaging Atmospheric Cherenkov telescopes (IACTs). This is relevant to assess potential effects with the source distance of the photon to axion-like particle (ALP) mixing, that would deeply affect the propagation of VHE photons across the Universe. We focus our spectral analysis on 38 BL Lac objects (32 high-peaked and 6 intermediate-peaked) up to redshift $z\simeq 0.5$, and a small sample of 5 Flat Spectrum Radio Quasars up to $z=1$ treated independently to increase the redshift baseline. The 78 independent spectra of these sources are first of all carefully corrected for the gamma-gamma interaction with photons of the Extragalactic Background Light, that are responsible for the major redshift-dependent opacity effect. Then, the corrected spectra are fitted with simple power-laws to infer the intrinsic spectral indices $Γ_{\rm em}$ at VHE, to test the assumption that such spectral properties are set by the local rather than the global cosmological environment. We find some systematic anti-correlations with redshift of $Γ_{\rm em}$ that might indicate, although with low-significance, a spectral anomaly potentially requiring a revision of the photon propagation process. More conclusive tests with higher statistical significance will require the observational improvements offered by the forthcoming new generation of Cherenkov arrays (CTA, ASTRI, LHAASO).

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