arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2602.22682astro-ph.SRastro-ph.GAastro-ph.IM
收藏

利用Gaia数据自动识别球状星团红巨星分支末端

Automated Identification of the Tip of the Red Giant Branch in Globular Clusters with Gaia Data

Beijing Academy of Science and Technology(北京科学院);Beijing Normal University(北京师范大学);Tsinghua University(清华大学)

Yi Yang, Zhenzhen Shao, Xiaofeng Wang, Xiaochen Zheng

AI总结:

本研究提出利用Gaia数据自动识别球状星团红巨星分支末端的方法,通过算法提高识别效率并提供新的天文数据分析工具开发见解。

摘要:

本研究介绍了一种自动方法,用于识别球状星团中的红巨星分支末端(TRGB),结合天文数据与算法方法。使用包含160个球状星团的数据集和Python脚本,我们匹配了恒星源与Gaia数据。我们的脚本生成颜色-亮度图(CMDs),并使用局部异常因子(LOF)算法去除异常值。应用二次多项式拟合红巨星分支(RGB),我们将TRGB定义为最接近拟合曲线终点的恒星。通过这种方法,我们利用新的观测数据将全球星团中的TRGB样本扩展到91个。我们的结果表明,对于金属度大于-1的情况,I波段光度呈现下降趋势,与以往研究一致。结果显示出稳健的趋势拟合,TRGB的$\rm M_{I}$约为-4.02,且在极低金属度下具有极低的误差。我们的方法提高了TRGB识别的效率,同时为开发天文数据自动分析工具提供了有价值的见解。

英文摘要:

This study introduces an automated approach for identifying the tip of the red giant branch (TRGB) in globular clusters, combining astronomical data with algorithmic methods. Using a dataset of 160 globular clusters and Python scripts, we matched stellar sources with Gaia data. Our script generates color-magnitude diagrams (CMDs), and uses the local outlier factor (LOF) algorithm to remove outliers. Applying a second-degree polynomial to fit red giant branch (RGB), we identify the TRGB as the star closest to the fitted curve's endpoint. By this method, we expanded TRGB samples in global clusters to 91 with newer observational data. Our results show a decreasing trend in I-band luminosity for metallicities greater than $-$1, consistent with previous studies. The results show a robust trend fitting and the $\rm M_{I}$ of TRGB is about $-$4.02 with extremely low metallicity. Our approach enhances TRGB identification efficiency while providing valuable insights for developing automatic tools in astronomical data analysis.

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。

↑