论文标题
Cherenkov望远镜阵列数据中的测试源混乱和识别能力
Testing source confusion and identification capability in Cherenkov Telescope Array data
论文作者
论文摘要
Cherenkov望远镜阵列将对在非常高的伽玛射线上进行的银河系平面进行最深入的调查。因此,这项调查将不可避免地面临源混乱的挑战,即,由于多个重叠的来源,信号对源的非唯一归因。在已知的银河伽玛射线源人群中,并且鉴于其扩展和数量,脉冲星风云(pwne和pwn tev Halos)将是受影响最大的。我们旨在探究TEV拼盘在即将到来的CTA数据中的源混乱。为此,我们进行了并分析了对CTA的人为混淆的拼盘的模拟。作为模拟的基础,我们将研究应用于从H.E.S.S.收集的TEV数据上。银河平面的调查进行了十个扩展和两个点状的牢固识别,构建了源混乱的各种配置,涉及不同的投影分离,相对取向,通量水平和源之间的扩展。当两个来源的高斯宽度的总和大于其质心之间的分离时,这里定义为出现的源混乱,出现在$ \ sim $ 30%的模拟中。对于该样本和来源之间平均分离的0.5 $°$,我们发现CTA可能可以解决高于500 GEV的混乱来源中的60%。最后,我们还考虑了对孤立的扩展来源的模拟,以了解它们与形态模板库的匹配程度如何。模拟的结果表明,在适当方向上,将模拟与正确的输入模板匹配的显着能力(超过95%的病例)。
The Cherenkov Telescope Array will provide the deepest survey of the Galactic Plane performed at very-high-energy gamma-rays. Consequently, this survey will unavoidably face the challenge of source confusion, i.e., the non-unique attribution of signal to a source due to multiple overlapping sources. Among the known populations of Galactic gamma-ray sources and given their extension and number, pulsar wind nebulae (PWNe, and PWN TeV halos) will be the most affected. We aim to probe source confusion of TeV PWNe in forthcoming CTA data. For this purpose, we performed and analyzed simulations of artificially confused PWNe with CTA. As a basis for our simulations, we applied our study to TeV data collected from the H.E.S.S. Galactic Plane Survey for ten extended and two point-like firmly identified PWNe, probing various configurations of source confusion involving different projected separations, relative orientations, flux levels, and extensions among sources. Source confusion, defined here to appear when the sum of the Gaussian width of two sources is larger than the separation between their centroids, occurred in $\sim$30% of the simulations. For this sample and 0.5$°$ of average separation between sources, we found that CTA can likely resolve up to 60% of those confused sources above 500 GeV. Finally, we also considered simulations of isolated extended sources to see how well they could be matched to a library of morphological templates. The outcome of the simulations indicates a remarkable capability (more than 95% of the cases studied) to match a simulation with the correct input template in its proper orientation.