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Machine learning in APOGEE: Identification of stellar populations through chemical abundances
Machine learning in APOGEE: Identification of stellar populations through chemical abundances image

Published on 2019-07-30

Chemical Abundances of Main-sequence, Turnoff, Subgiant, and Red Giant Stars from APOGEE Spectra. II. Atomic Diffusion in M67 Stars
Chemical Abundances of Main-sequence, Turnoff, Subgiant, and Red Giant Stars from APOGEE Spectra. II. Atomic Diffusion in M67 Stars image

Published on 2019-03-27

The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA-derived Quantities, Data Visualization Tools, and Stellar Library image

Published on 2019-03-27

Thesis: Automated algorithms for spectroscopic classification of stars and applications to APOGEE
Thesis: Automated algorithms for spectroscopic classification of stars and applications to APOGEE image

Published on 2018-09-21

Machine learning in APOGEE - Unsupervised spectral classification with K-means
Machine learning in APOGEE - Unsupervised spectral classification with K-means image

Published on 2018-05-04