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arXiv 1007.3718astro-ph.GA
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MASSCLEANage --从综合颜色看星团年龄--

MASSCLEANage -- Stellar Cluster Ages from Integrated Colors --

Bogdan Popescu, M. M. Hanson

摘要:

我们提出了最近更新和扩展的MASSCLEANcolors,一个数据库的70万蒙特卡洛模型选择匹配的属性(金属丰度,年龄和质量)的星团中发现的大麦云(LMC)。该数据库显示了相当极端和非高斯分布的综合颜色和幅度预期与不同的集群年龄和质量和巨大的年龄退化的综合颜色时,质量是未知的。这种简并性可能导致用标准SSP模型估计年龄的灾难性失败,特别是如果大多数星团都是中等或低质量的,就像LMC一样。利用MASSCLEANcolors数据库,我们已经开发了MASSCLEANage,统计推断包,分配最有可能的年龄和质量(同时解决)的集群只基于其集成的宽带光度特性。最后,我们使用MASSCLEANage推导出的年龄和质量的LMC集群的基础上集成测光单独。首先,我们比较我们的集群年龄对那些获得相同的七个集群使用更准确的集成光谱。我们发现改进的协议与综合光谱年龄比原来的光度年龄。仔细检查我们的研究结果表明,同时解决质量和年龄,以减少退化的集群年龄通过集成的颜色。然后,我们选择了一个额外的子集30光度集群与以前良好的约束年龄和独立推导出他们的年龄使用MASSCLEANage与相同的光度非常好的协议。MASSCLEANage程序在GNU通用公共许可证下免费提供。

英文摘要:

We present the recently updated and expanded MASSCLEANcolors, a database of 70 million Monte Carlo models selected to match the properties (metallicity, ages and masses) of stellar clusters found in the Large Magellanic Cloud (LMC). This database shows the rather extreme and non-Guassian distribution of integrated colors and magnitudes expected with different cluster age and mass and the enormous age degeneracy of integrated colors when mass is unknown. This degeneracy could lead to catastrophic failures in estimating age with standard SSP models, particularly if most of the clusters are of intermediate or low mass, like in the LMC. Utilizing the MASSCLEANcolors database, we have developed MASSCLEANage, a statistical inference package which assigns the most likely age and mass (solved simultaneously) to a cluster based only on its integrated broad-band photometric properties. Finally, we use MASSCLEANage to derive the age and mass of LMC clusters based on integrated photometry alone. First we compare our cluster ages against those obtained for the same seven clusters using more accurate integrated spectroscopy. We find improved agreement with the integrated spectroscopy ages over the original photometric ages. A close examination of our results demonstrate the necessity of solving simultaneously for mass and age to reduce degeneracies in the cluster ages derived via integrated colors. We then selected an additional subset of 30 photometric clusters with previously well constrained ages and independently derive their age using the MASSCLEANage with the same photometry with very good agreement. The MASSCLEANage program is freely available under GNU General Public License.

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