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An improved quasar detection method in EROS-2 and MACHO LMC data sets

Pichara, K; Protopapas, P.; Kim, D.-W.; Marquette, J B; Tisserand, Patrick


We present a new classification method for quasar identification in the EROS-2 and MACHO data sets based on a boosted version of a random forest classifier. We use a set of variability features including parameters of a continuous autoregressive model. We prove that continuous autoregressive parameters are very important discriminators in the classification process. We create two training sets (one for EROS-2 and one for MACHO data sets) using known quasars found in the Large Magellanic Cloud...[Show more]

CollectionsANU Research Publications
Date published: 2012
Type: Journal article
Source: Monthly Notices of the Royal Astronomical Society
DOI: 10.1111/j.1365-2966.2012.22061.x


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