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应用 AutoClass 算法聚类分析 SDSS 巡天的恒星数据 PowerPoint PPT Presentation


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应用 AutoClass 算法聚类分析 SDSS 巡天的恒星数据. 严太生. 2008 年 11 月于太原. 提纲. 恒星自动分类 / 聚类的背景 AutoClass 算法 SDSS 数字巡天及参数选取 AutoClass 分类结果及讨论 结论. 1 恒星自动分类 / 聚类的背景. 一个完整详细的恒星样本不仅对于恒星的基本组成 , 演化历史 , 而且对于研究星系结构和演化都有很重要的意义。 随着从地面和空间观测设备获取大量的数据 , 构建大的完整的样本成为可能。 为了提高分类 / 聚类的效率,我们需要依靠区别性很好的分类器。.

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应用 AutoClass 算法聚类分析 SDSS 巡天的恒星数据

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Autoclass sdss

AutoClassSDSS

200811


Autoclass sdss

  • /

  • AutoClass

  • SDSS

  • AutoClass


Autoclass sdss

1 /

  • ,,

  • ,

  • /


Autoclass sdss

/

  • ABazarghan (2008) OM5000158

  • BGLIMPSEMercer (2005)

  • CWozniak (2004) 8678

  • DFroebrich (2008) -/

  • EJaschek (1990) ,


2 autoclass

2 AutoClass

  • AutoClassBayesian AutoClassBernoulli


Autoclass sdss

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  • B

  • C

  • D

  • E

    AutoClass


3 sdss

3 SDSS

  • ASDSS

    SDSS267591851/49312


Autoclass sdss

B

SDSS DR6140865

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4 AutoClass

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Autoclass sdss

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  • i-

Stars


Autoclass sdss

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  • ii-

Stars


Autoclass sdss

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I simbad

iSIMBAD


Autoclass sdss

SIMBADnon-stars225non-stars25non-stars/-


Autoclass sdss

iiNED


Autoclass sdss

NEDnon-stars650non-stars50non-stars/-


Autoclass sdss

iiiSDSS image/spectra


Autoclass sdss

SIMBADNEDnon-stars,

10non-stars10


Autoclass sdss

Cnon-starsSIMBAD NEDSDSS image/spectra76.0%98.0%80.0%89.4%


Autoclass sdss

D

i

iistarsnon-stars

iii AutoClass


Autoclass sdss

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iiSIMBADNED- non-stars-

iiiNEDnon-stars


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Autoclass sdss

5

AutoClass SDSS


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iiAutoClass

iiinon-stars

iv90%AutoClass

vnon-stars

vinon-stars


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Autoclass sdss


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