681 citations · 1.5k across the 11 of their papers we have counts for
4 papers · 1 filter
Machine learning in APOGEE: Identification of stellar populations through chemical abundances
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida +1
The vast volume of data generated by modern astronomical surveys offers test beds for the application of machine-learning. It is important to evaluate potential existing tools and…
The Fifteenth Data Release of the Sloan Digital Sky Surveys: First Release of MaNGA Derived Quantities, Data Visualization Tools and Stellar Library
D. S. Aguado, Romina Ahumada, Andres Almeida +230
Twenty years have passed since first light for the Sloan Digital Sky Survey (SDSS). Here, we release data taken by the fourth phase of SDSS (SDSS-IV) across its first three years o…
Machine learning in APOGEE: Unsupervised spectral classification with -means
Rafael Garcia-Dias, Carlos Allende Prieto, Jorge Sánchez Almeida +1
The data volume generated by astronomical surveys is growing rapidly. Traditional analysis techniques in spectroscopy either demand intensive human interaction or are computational…
The Astropy Problem
Demitri Muna, Michael Alexander, Alice Allen +151
The Astropy Project (http://astropy.org) is, in its own words, "a community effort to develop a single core package for Astronomy in Python and foster interoperability between Pyth…