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2021MNRAS.501.3457P - Mon. Not. R. Astron. Soc., 501, 3457-3471 (2021/March-1)
A machine-learning approach for classifying low-mass X-ray binaries based on their compact object nature.
PATTNAIK R., SHARMA K., ALABARTA K., ALTAMIRANO D., CHAKRABORTY M., KEMBHAVI A., MENDEZ M. and ORWAT-KAPOLA J.K.
Abstract (from CDS):
Abstract Copyright: © 2020 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society
Journal keyword(s): X-rays: binaries - methods: data analysis - methods: statistical
Simbad objects: 79
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