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Estimating photometric redshifts with artificial neural networks and multi-parameters
Li, Li-Li; Zhang, Yan-Xia; Zhao, Yong-Heng; Yang, Da-Wei
2007
Source PublicationCHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS
Volume7Issue:3Pages:448-456
AbstractWe calculate photometric redshifts from the Sloan Digital Sky Survey Data Release 2 (SDSS DR2) Galaxy Sample using artificial neural networks (ANNs). Different input sets based on various parameters (e.g. magnitude, color index, flux information) are explored. Mainly, parameters from broadband photometry are utilized and their performances in red-shift prediction are compared. While any parameter may be easily incorporated in the input, our results indicate that using the dereddened magnitudes often produces more accurate photometric redshifts than using the Petrosian magnitudes or model magnitudes as input, but the model magnitudes are superior to the Petrosian magnitudes. Also, better performance results when more effective parameters are used in the training set. The method is tested on a sample of 79 346 galaxies from the SDSS DR2. When using 19 parameters based on the dereddened magnitudes, the rms error in redshift estimation is sigma(z) = 0.020184. The ANN is highly competitive tool compared to the traditional template-fitting methods when a large and representative training set is available.
KeywordGalaxies : Fundamental Parameters Techniques : Photometric Method : Data Analysis
Indexed BySCI
Language英语
WOS IDWOS:000247553300016
Citation statistics
Document Type期刊论文
Identifierhttp://ir.bao.ac.cn/handle/114a11/7891
Collection光学天文研究部
Affiliation1.Chinese Acad Sci, Natl Astron Observ, Beijing 100012, Peoples R China
2.Hebei Normal Univ, Coll Phys Sci & Informat Engn, Shijiazhuang 050016, Peoples R China
Recommended Citation
GB/T 7714
Li, Li-Li,Zhang, Yan-Xia,Zhao, Yong-Heng,et al. Estimating photometric redshifts with artificial neural networks and multi-parameters[J]. CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,2007,7(3):448-456.
APA Li, Li-Li,Zhang, Yan-Xia,Zhao, Yong-Heng,&Yang, Da-Wei.(2007).Estimating photometric redshifts with artificial neural networks and multi-parameters.CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS,7(3),448-456.
MLA Li, Li-Li,et al."Estimating photometric redshifts with artificial neural networks and multi-parameters".CHINESE JOURNAL OF ASTRONOMY AND ASTROPHYSICS 7.3(2007):448-456.
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