Support Vector Machines for Photometric Redshift Estimation from Broadband Photometry

Photometric redshifts have been regarded as efficient and effective measures for studying the statistical properties of galaxies and their evolution. In this paper, we introduce SVM_Light, a freely available software package using support vector machines (SVM) for photometric redshift estimation. Th...

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Xehetasun bibliografikoak
Egile Nagusiak: Dan Wang, Yanxia Zhang, Yongheng Zhao
Formatua: Artikulua
Hizkuntza:English
Argitaratua: Ubiquity Press 2007-08-01
Saila:Data Science Journal
Gaiak:
Sarrera elektronikoa:http://datascience.codata.org/articles/447