NAOC Open IR  > 星系宇宙学研究部
Data Characterization Using Artificial-Star Tests: Performance Evaluation
Hu, Yi1,2; Deng, Licai1; de Grijs, Richard3; Liu, Qiang1
2011
发表期刊PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC
卷号123期号:899页码:107-112
摘要Traditional artificial-star tests are widely applied to photometry in crowded stellar fields. However, to obtain reliable binary fractions (and their uncertainties) of remote, dense, and rich star clusters, one needs to recover huge numbers of artificial stars. Hence, this will consume much computation time for data reduction of the images to which the artificial stars must be added. In this article, we present a new method applicable to data sets characterized by stable, well-defined, point-spread functions, in which we add artificial stars to the retrieved-data catalog instead of to the raw images. Taking the young Large Magellanic Cloud cluster NGC 1818 as an example, we compare results from both methods and show that they are equivalent, while our new method saves significant computational time.
DOI10.1086/658162
收录类别SCI
语种英语
WOS记录号WOS:000286599500009
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文献类型期刊论文
条目标识符http://ir.bao.ac.cn/handle/114a11/7826
专题星系宇宙学研究部
作者单位1.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
2.Chinese Acad Sci, Grad Univ, Beijing 100012, Peoples R China
3.Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China
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Hu, Yi,Deng, Licai,de Grijs, Richard,et al. Data Characterization Using Artificial-Star Tests: Performance Evaluation[J]. PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,2011,123(899):107-112.
APA Hu, Yi,Deng, Licai,de Grijs, Richard,&Liu, Qiang.(2011).Data Characterization Using Artificial-Star Tests: Performance Evaluation.PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC,123(899),107-112.
MLA Hu, Yi,et al."Data Characterization Using Artificial-Star Tests: Performance Evaluation".PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF THE PACIFIC 123.899(2011):107-112.
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