首页> 外文会议>IAU General Assembly >ALHAMBRA survey: morphological classification
【24h】

ALHAMBRA survey: morphological classification

机译:阿罕布拉调查:形态学分类

获取原文

摘要

The Advanced Large Homogeneous Area Medium Band Redshift Astronomical (ALHAMBRA) survey is a photometric survey designed to study systematically cosmic evolution and cosmic variance (Moles et al. 2008). It employs 20 continuous medium-band filters (3500-9700 ?), plus JHK near-infrared (NIR) bands, which enable measurements of photometric redshifts with good accuracy. ALHAMBRA covers > 4 deg~2 in eight discontinuous regions (~0.5deg~2 per region), of theseseven fields overlap with other extragalactic, multiwavelength surveys (DEEP2, SDSS, COSMOS, HDF-N, Groth, ELAIS-N1). We detect > 600.000 sources, reaching the depth of R(AB)~25.0,and photometric accuracy of 2-4% (Husillos et al., in prep.). Photometric redshifts are measured using the Bayesian Photometric Redshift (BPZ) code (Benitez et al. 2000), reaching one of the best accuracies up to date of δz/z ≤ 1.2% (Molino et al., in prep.). To deal with the morphological classification of galaxies in the ALHAMBRA survey (Povic et al, in prep.), we used the galaxy Support Vector Machine code (galSVM; Huertas-Company 2008, 2009), one of the new non-parametric methods for morphological classification, specially useful when dealing with low resolution and high-redshift data. To test the accuracy of our morphological classification we used a sample of 3000 local, visually classified galaxies (Nair & Abraham 2010), moving them to conditions typical of our ALHAMBRA data (taking into account the background, redshift and magnitude distributions, etc.), and measuring their morphology using galSVM. Finally, we measured the morphology of ALHAMBRA galaxies, obtaining for each source seven morphological parameters (two concentration indexes, asymmetry, Gini, M20 moment of light, smoothness, and elongation), probability if the source belongs to early- or late-type, and its error. Comparing ALHAMBRA morph COSMOS/ACS morphology (obtained with the same method) we expect to have qualitative separation in two main morphological types for ~20.000 sources in 8 ALHAMBRA fields. For early-type galaxies we expect to recover ~70% and 30-40% up to magnitudes 20.0 and 21.5, respectively, having the contamination of late-types of <7%, For late-type galaxies, we expect to recover ~ 70%, 60- 70%, and ~ 30% of sources up to magnitudes 22.0,22.5, and 23.0, respectively, having the contamination of earlytypes of ≤ 10%. These data will be used to study the evolution of active and non-active galaxies respect to morphology and morphological properties of galaxies in groups and clusters.
机译:先进的大型均质地区中型频段红移天文学(Alhambra)调查是一种旨在学习系统宇宙演进和宇宙方差的光度调查(Moles等,2008)。它采用20个连续中型带滤波器(3500-9700?),加上jhk近红外(nir)频段,这使得光度红移的测量能够良好。 Alhambra覆盖在8个不连续地区(〜0.5deg〜2 /地区)中的4°〜2,与其他胶质突变,多波长调查(Deep2,SDS,Cosmos,HDF-N,Grooth,Elais-N1重叠)。我们检测到> 600.000源,达到r(ab)〜25.0的深度,光度准确度为2-4%(Husillos等,准备。)。使用贝叶斯光度红移(BPZ)代码(Benitez等人,2000)测量光度红移,达到最佳精度之一,最新的Δz/z≤1.2%(Molino等,Prep.)。处理阿罕布拉调查(Povic等人,Prep.)中星系的形态分类,我们使用了Galaxy支持向量机代码(Galsvm;惠珀斯公司2008,2009),是新的非参数方法之一形态学分类,在处理低分辨率和高红移数据时特别有用。为了测试我们的形态分类的准确性,我们使用了3000个当地,视觉上分类的星系(Nair&Abraham 2010)的样本,将它们转移到典型的Alhambra数据的条件(考虑到背景,红移和幅度分布等)使用Galsvm测量它们的形态。最后,我们测量了阿罕布拉星系的形态,获得了每个源7个形态参数(两种浓度指数,不对称,GINI,M20的光,光滑度和伸长率),如果源属于早期或后期类型,则概率及其错误。比较Alhambra Morph Cosmos / ACS形态(用相同的方法获得),我们预计在8个Alhambra领域的两个主要形态类型中有两个主要形态类型的定性分离。对于早期的星系,我们预计分别恢复〜70%和30-40%,分别为20.0和21.5分,污染后期的星系,我们希望恢复〜70 %,60-70%,〜30%的来源分别为22.0,22.5和23.0分别,污染≤10%的损失。这些数据将用于研究活性和非活动星系的演变,尊重组和簇中星系的形态和形态学性质。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号