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arXiv 0707.3443astro-ph
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Sloan数字巡天中星系测光红移的一种新方法

A New Technique for Galaxy Photometric Redshifts in the Sloan Digital Sky Survey

James J. Wray, James E. Gunn

摘要:

传统的光度学红移方法仅使用有关物体的颜色信息来估计它们的红移。本文介绍了一种利用颜色、光度、表面亮度和径向光剖面测量Sloan数字巡天(SDSS)星系红移的新方法。我们采取一种统计方法:从SDSS大尺度结构(LSS;光谱)样本的星系分布的红移范围内构建,和目标星系相比,这些分布。一个自适应网格的实施,以增加的LSS星系填充的参数空间的百分比。我们在LSS样本中的一个星系子集上测试了该方法,得出红色星系的rms Delta-z为0.025,蓝色星系为0.030(所有z < 0.25)。未来可能的改进,这种有前途的技术进行了描述,是我们正在进行的工作,以扩大该方法在更高的红移星系。

英文摘要:

Traditional photometric redshift methods use only color information about the objects in question to estimate their redshifts. This paper introduces a new method utilizing colors, luminosity, surface brightness, and radial light profile to measure the redshifts of galaxies in the Sloan Digital Sky Survey (SDSS). We take a statistical approach: distributions of galaxies from the SDSS Large-Scale Structure (LSS; spectroscopic) sample are constructed at a range of redshifts, and target galaxies are compared to these distributions. An adaptive mesh is implemented to increase the percentage of the parameter space populated by the LSS galaxies. We test the method on a subset of galaxies from the LSS sample, yielding rms Delta-z of 0.025 for red galaxies and 0.030 for blue galaxies (all with z < 0.25). Possible future improvements to this promising technique are described, as is our ongoing work to extend the method to galaxies at higher redshift.

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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