Kernel PCA for Type Ia supernovae photometric classification
نویسندگان
چکیده
منابع مشابه
Kernel PCA for type Ia supernovae photometric classification
The problem of supernova photometric identification will be extremely important for large surveys in the next decade. In this work, we propose the use of Kernel Principal Component Analysis (KPCA) combined with k = 1 nearest neighbour algorithm (1NN) as a framework for supernovae (SNe) photometric classification. The method does not rely on information about redshift or local environmental vari...
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ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2013
ISSN: 0035-8711,1365-2966
DOI: 10.1093/mnras/sts650