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arXiv 1001.2624astro-ph.GA
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星团的综合参数:理论与观测的比较

Integrated parameters of star clusters: A comparison of theory and observations

A. K. Pandey, T. S. Sandhu, R. Sagar, P. Battinelli

摘要:

本文给出了合成星系团的积分星等和颜色。综合参数已获得的整个集群人口以及主序列(MS)人口的星团。我们还估算了银河系疏散星团、大麦哲伦星云和小麦哲伦星云的MS星族的积分星等和色。结果表明,星团MS布居数的颜色演化不受随机涨落的影响,但随机涨落对整个星团的颜色演化有显著的影响。在年龄范围6.7 $<$ log(年龄)$<$ 7.5中,$(V-I)$颜色的波动最大。本文所得到的银河系LMC和SMC星系团的MS布居积分色的演化,用本文提出的合成星系团模型得到了很好的解释。观测到的年龄为$\geq$ 5亿年的LMC星团MS星群的$(B-V)$积分色似乎分布在$Z=$ 0.004模型附近,而发现$(V-I)$的颜色比$Z=$ 0.004模型预测的颜色更蓝。银河系星团MS星群的$(V-I)$与$(B-V)$双色图显示了观测结果与本模型之间的良好一致性,然而LMC和SMC星团的图表明观测到的$(V-I)$颜色相对较蓝。已经讨论了这种异常的可能原因。

英文摘要:

(Abridged) This paper presents integrated magnitude and colours for synthetic clusters. The integrated parameters have been obtained for the whole cluster population as well as for the main-sequence (MS) population of star clusters. We have also estimated observed integrated magnitudes and colours of MS population of galactic open clusters, LMC and SMC star clusters. It is found that the colour evolution of MS population of star clusters is not affected by the stochastic fluctuations, however these fluctuations significantly affect the colour evolution of the whole cluster population. The fluctuations are maximum in $(V-I)$ colour in the age range 6.7 $<$ log (age) $<$ 7.5. Evolution of integrated colours of MS population of the clusters in the Milky Way, LMC and SMC, obtained in the present study are well explained by the present synthetic cluster model. The observed integrated $(B-V)$ colours of MS population of LMC star clusters having age $\geq$ 500 Myr seem to be distributed around $Z=$ 0.004 model, whereas $(V-I)$ colours are found to be more bluer than those predicted by the $Z=$ 0.004 model. $(V-I)$ vs $(B-V)$ two-colour diagram for the MS population of the Milky Way star clusters shows a fair agreement between the observations and present model, however the diagrams for LMC and SMC clusters indicate that observed $(V-I)$ colours are relatively bluer. Possible reasons for this anomaly have been discussed.

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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