CLASSIFICATION and RANKING of FERMI LAT GAMMA-RAY SOURCES from the 3FGL CATALOG USING MACHINE LEARNING TECHNIQUES

Keyphrases

• Machine Learning Techniques 100%
• Pulsars 100%
• Active Galactic nuclei 40%
• Overall Accuracy 40%
• Gamma-ray Sources 40%
• Millisecond Pulsars 40%
• X-ray 20%
• Swift 20%
• Best Model 20%
• Logistic Regression Analysis 20%
• Population-based Study 20%
• Logistic Regression 20%
• Supernova Remnants 20%
• Source Catalogues 20%
• Pulsar Wind Nebulae 20%
• Fermi-LAT 20%
• Gamma Ray Emitters 20%
• Random Forest Regression 20%
• Random Forest Algorithm 20%
• Statistical Learning Techniques 20%
• Random Forest Method 20%
• Logistic Regression Algorithm 20%
• Gamma-ray Pulsars 20%

Physics

• Pulsar 100%
• Machine Learning 100%
• Gamma Radiation 28%
• Active Galactic Nuclei 28%
• Gamma-Ray Sources 28%
• Millisecond Pulsars 28%
• Supernova Remnant 14%
• Nebula 14%