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Protostellar classification using supervised machine learning algorithms

Published in arXiv (Cornell University) • Aug 25, 2018
NobleIDNI1P84W55R79S61
Authors:
Oskari Miettinen

Abstract

Classification of young stellar objects (YSOs) into different evolutionary stages helps us to understand the formation process of new stars and planetary systems. Such classification has traditionally been based on spectral energy distributions (SEDs). An alternative approach is provided by supervis...

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