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Star/Galaxy Separation in Hyper Suprime-Cam and Mapping the Milky Way with Star Counts

机译:超级Suprime-Cam中的星/银分离,并用星数映射银河系

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摘要

We study the problem of separating stars and galaxies in the Hyper Suprime-Cam (HSC) multi-band imaging data at high galactic latitudes. We show that the current separation technique implemented in the HSC pipeline is unable to produce samples of stars with i 24 without a significant contamination from galaxies (> 50%). We study various methods for measuring extendedness in HSC with simulated and real data and find that there are a number of available techniques that give nearly optimal results; the extendedness measure HSC is currently using is among these. We develop a star/galaxy separation method for HSC based on the Extreme Deconvolution (XD) algorithm that uses colors and extendedness simultaneously, and show that with it we can generate samples of faint stars keeping contamination from galaxies under control to i ≤ 25. We apply our star/galaxy separation method to carry out a preliminary study of the structure of the Milky Way (MW) with main sequence (MS) stars using photometric parallax relations derived for the HSC photometric system. We show that it will be possible to generate a tomography of the MW stellar halo to galactocentric radii ∼ 100 kpc with ∼ 106 MS stars in the HSC Wide layer once the survey has been completed. We report two potential detections of the Sagittarius tidal stream with MS stars in the XMM and GAMA15 fields at ≈ 20 kpc and ≈ 40 kpc respectively.
机译:我们研究了在高银河纬度的Hyper Suprime-Cam(HSC)多波段成像数据中分离恒星和星系的问题。我们表明,在HSC管道中实施的当前分离技术无法在没有来自星系的显着污染(> 50%)的情况下产生i 24的恒星样品。我们研究了使用模拟和真实数据测量HSC扩展性的各种方法,发现有许多可用的技术可提供接近最佳的结果。 HSC当前正在使用的扩展性度量就在其中。我们基于极端反褶积(XD)算法开发了一种用于HSC的星/星分离方法,该算法同时使用了颜色和扩展性,并显示了它可以生成微弱的恒星样本,将来自星系的污染控制在i≤25。运用我们的恒星/星系分离方法,通过为HSC光度系统导出的光度视差关系,对具有主序列(MS)星的银河系(MW)的结构进行初步研究。我们表明,一旦完成调查,将有可能在HSC宽层中生成MW恒星晕至半恒心半径约100 kpc的断层扫描,并在HSC宽层中形成约106 MS星。我们报告了Xap和GAMA15场中≈的MS恒星人马座潮汐流的两次潜在探测。 20公里和≈分别为40 kpc。

著录项

  • 作者

    Garmilla, Jose Antonio.;

  • 作者单位

    Princeton University.;

  • 授予单位 Princeton University.;
  • 学科 Astronomy.;Astrophysics.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 177 p.
  • 总页数 177
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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