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arXiv 1807.04526astro-ph.GA
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XMMPZCAT:X射线源的测光红移目录

XMMPZCAT: A catalogue of photometric redshifts for X-ray sources

A. Ruiz, A. Corral, G. Mountrichas, I. Georgantopoulos

摘要:

XMM-牛顿偶然星表(3XMM)的第三个版本包含了近50万个源,是目前最大的X射线星表。然而,由于缺乏其大多数来源的距离信息(即红移),它的全部科学潜力仍未开发。在这里,我们提出XMMPZCAT,测光红移(photo-z)的3XMM源目录。我们在SDSS和Pan-STARRS巡天中搜索了银河平面外3XMM-DR 6源的光学对应物,并尽可能添加了近红外(NIR)和中红外(MIR)数据(2 MASS,UKIDSS,VISTA-VHS和AllWISE)。我们将该测光数据集与5157个X射线选定源的训练样本和MLZ-TPZ包结合使用,MLZ-TPZ包是一种基于决策树和随机森林的监督机器学习算法,用于计算photo-z。我们估计了100,178个X射线源的photo-z,约占XMM-牛顿场中选择用于构建该目录的3XMM源总数(205,380)的50%(9159中的4208)。我们的结果的准确性在很大程度上取决于可用的光度数据,离群值的比率范围从4%的来源与数据在光学+NIR+MIR,高达$\sim$ 40%的来源,只有光学数据。我们还讨论了我们的结果的可靠性水平,通过研究的光z概率密度分布的形状。

英文摘要:

The third version of the XMM-Newton serendipitous catalogue (3XMM), containing almost half million sources, is now the largest X-ray catalogue. However, its full scientific potential remains untapped due to the lack of distance information (i.e. redshifts) for the majority of its sources. Here we present XMMPZCAT, a catalogue of photometric redshifts (photo-z) for 3XMM sources. We searched for optical counterparts of 3XMM-DR6 sources outside the Galactic plane in the SDSS and Pan-STARRS surveys, with the addition of near- (NIR) and mid-infrared (MIR) data whenever possible (2MASS, UKIDSS, VISTA-VHS, and AllWISE). We used this photometry data set in combination with a training sample of 5157 X-ray selected sources and the MLZ-TPZ package, a supervised machine learning algorithm based on decision trees and random forests for the calculation of photo-z. We have estimated photo-z for 100,178 X-ray sources, about 50% of the total number of 3XMM sources (205,380) in the XMM-Newton fields selected to build this catalogue (4208 out of 9159). The accuracy of our results highly depends on the available photometric data, with a rate of outliers ranging from 4% for sources with data in the optical+NIR+MIR, up to $\sim$40% for sources with only optical data. We also addressed the reliability level of our results by studying the shape of the photo-z probability density distributions.

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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