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arXiv 1806.04061astro-ph.SR
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一个自动化的工具来检测变量来源的Vista变量在V\'ıa Láctea调查.切片d001和d002的VVV变量(V $^{4}$)目录

An Automated tool to detect variable sources in the Vista Variables in the V\'ıa Láctea Survey. The VVV Variables (V$^{4}$) catalog of tiles d001 and d002

Nicolás Medina, Jura Borissova, Amelia Bayo, Radostin Kurtev, Claudio Navarro-Molina, Michael Kuhn, Nanda Kumar, Philip W. Lucas, Márcio Catelan, Dante Minniti, Leigh C. Smith

摘要:

时变现象是天体物理学最重要的信息来源之一,对它的研究导致了现代天文学的许多基本发现。我们已经开发了一个自动化的工具来搜索和分析变量源在近红外$\rm K_{s}$波段,使用的数据从Vista变量在Vía Láctea(VVV)ESO公共大型调查。这个过程依赖于使用不同的可变性指数来表征可变源,这些可变性指数是从利用被分析源的点扩散函数光度测定法生成的时间序列计算的。特别地,我们使用两个主要指标:总振幅$\rm ΔK_s$和eta指标$η$来识别可变源。一旦确定了可变对象,周期就用广义Lomb-Scargle周期图和信息潜力度量来确定。根据与VVV模板的比较和变异性周期之间的折衷分配变异性类别。自动化工具应用于VVV瓦片d 001和d 002,并导致发现200个变量源。我们检测到70个不规则变量源和130个周期源。此外,9个疏散星团的候选人预计在该地区进行了分析,发现这些集群周围的红外变星候选人进一步仔细检查交叉匹配他们的位置对发射恒星候选人从VPHAS+调查$\rm H_α$颜色削减。

英文摘要:

Time-varying phenomena are one of the most substantial sources of astrophysical information and their study has led to many fundamental discoveries in modern astronomy. We have developed an automated tool to search and analyze variable sources in the near infrared $\rm K_{s}$-band, using the data from the Vista Variables in the Vía Láctea (VVV) ESO Public Large Survey. This process relies on the characterization of variable sources using different variability indices, calculated from time series generated with Point Spread Function photometry of sources under analysis. In particular, we used two main indices: the total amplitude $\rm ΔK_s$ and the eta index, $η$, to identify variable sources. Once variable objects are identified, periods are determined with Generalized Lomb-Scargle periodograms, and the Information Potential Metric. Variability classes are assigned according to a compromise between comparisons with VVV Templates and the period of the variability. The automated tool is applied on VVV tiles d001 and d002 and led to discovery of 200 variable sources. We detected 70 irregular variable sources and 130 periodic ones. In addition nine open cluster candidates projected in the region are analyzed, the infrared variable candidates found around these clusters are further scrutinized by cross-matching their locations against emission star candidates from VPHAS+ survey $\rm H_α$ color cuts.

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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