Our second work on selection of QSOs using Machine Learning.
Dae-Won Kim, Pavlos Protopapas, Markos Trichas, Roni Khardon, Charles Alcock, and Yong-Ik Byun
Dae-Won Kim, Pavlos Protopapas, Markos Trichas, Roni Khardon, Charles Alcock, and Yong-Ik Byun
published online in ApJ
The catalogs and lightcurves are at:
http://timemachine.iic.harvard.edu/coati/QSOs/index.html
The catalog will be also available at VizieR soon.
The catalogs and lightcurves are at:
http://timemachine.iic.harvard.edu/coati/QSOs/index.html
The catalog will be also available at VizieR soon.
tags : QSO, quasar, quasi-stellar object, AGN, light curve, time series, time varying, variability, support vector machine, SVM, machine learning, classification, variable stars, X-ray, Spitzer SAGE, data mining, massive database, Large Magellanic Cloud, LMC, SED fitting, photometric redshift, one class Support Vector Machine
