Photometric redshift estimation on SDSS data using Random Forests

被引：0
|
作者：
Carliles, Samuel [1 ]
Budavari, Tamas [2 ]
Heinis, Sebastien [2 ]
Priebe, Carey
Szalay, Alexander [2 ,3 ]
机构：
[1] Johns Hopkins Univ, Dept Comp Sci, 3400 N Charles St, Baltimore, MD 21818 USA
[2] Johns Hopkins Univ, Dept Phys & Astron, Baltimore, MD 21218 USA
[3] Johns Hopkins Univ, Dept Appl Math & Stat, Baltimore, MD 21218 USA
来源：
ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS XVII | 2008年 / 394卷
关键词：
D O I：
暂无
中图分类号：
P1 [天文学];
学科分类号：
0704 ;
摘要：
Given multiband photometric data from the SDSS DR6, we estimate galaxy redshifts. We employ a Random Forest trained on color features and spectroscopic redshifts from 80,000 randomly chosen primary galaxies yielding a mapping from color to redshift such that the difference between the estimate and the spectroscopic redshift is small. Our methodology results in tight RMS scatter in the estimates limited by photometric errors. Additionally, this approach yields an error distribution that is nearly Gaussian with parameter estimates giving reliable confidence intervals unique to each galaxy photometric redshift.
引用
收藏
页码：521 / +
页数：2
相关论文
共 50 条
  • [1] Quasar candidate selection and photometric redshift estimation based on SDSS and UKIDSS data
    Wu, Xue-Bing
    Jia, Zhendong
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2010, 406 (03) : 1583 - 1594
  • [2] Approaches for Photometric Redshift Estimation of Quasars from SDSS and UKIDSS
    Wang, Dan
    Zhang, Yan-xia
    Zhao, Yong-heng
    [J]. SOFTWARE AND CYBERINFRASTRUCTURE FOR ASTRONOMY, 2010, 7740
  • [3] TPZ: photometric redshift PDFs and ancillary information by using prediction trees and random forests
    Kind, Matias Carrasco
    Brunner, Robert J.
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2013, 432 (02) : 1483 - 1501
  • [4] Imputation of missing photometric data and photometric redshift estimation for CSST
    Luo, Zhijian
    Tang, Zhirui
    Chen, Zhu
    Fu, Liping
    Du, Wei
    Zhang, Shaohua
    Gong, Yan
    Shu, Chenggang
    Lu, Junhao
    Li, Yicheng
    Meng, Xian-Min
    Zhou, Xingchen
    Fan, Zuhui
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2024, 531 (03) : 3539 - 3550
  • [5] Two novel approaches for photometric redshift estimation based on SDSS and 2MASS
    Wang, Dan
    Zhang, Yan-Xia
    Liu, Chao
    Zhao, Yong-Heng
    [J]. CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS, 2008, 8 (01): : 119 - 126
  • [6] Two Novel Approaches for Photometric Redshift Estimation based on SDSS and 2MASS
    Dan Wang1
    2 Graduate School of Chinese Academy of Sciences
    [J]. Research in Astronomy and Astrophysics, 2008, (01) : 119 - 126
  • [7] Photometric redshift estimation using Gaussian processes
    Bonfield, D. G.
    Sun, Y.
    Davey, N.
    Jarvis, M. J.
    Abdalla, F. B.
    Banerji, M.
    Adams, R. G.
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2010, 405 (02) : 987 - 994
  • [8] Photometric redshift estimation based on data mining with PhotoRApToR
    S. Cavuoti
    M. Brescia
    V. De Stefano
    G. Longo
    [J]. Experimental Astronomy, 2015, 39 : 45 - 71
  • [9] Photometric redshift estimation based on data mining with PhotoRApToR
    Cavuoti, S.
    Brescia, M.
    De Stefano, V.
    Longo, G.
    [J]. EXPERIMENTAL ASTRONOMY, 2015, 39 (01) : 45 - 71
  • [10] Photometric redshift estimation of quasars with fused features from photometric data and images
    Yao, Lin
    Qiu, Bo
    Luo, A-Li
    Zhou, Jianwei
    Wu, Kuang
    Kong, Xiao
    Liu, Yuanbo
    Zhao, Guiyu
    Wang, Kun
    [J]. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2023, 523 (04) : 5799 - 5811
12345