2.5k citations · 12k across the 67 of their papers we have counts for
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SDSS-IV MaNGA: Variations in the N/O -- O/H relation bias metallicity gradient measurements
Adam L. Schaefer, Christy Tremonti, Francesco Belfiore +4
In this paper we use strong line calibrations of N/O and O/H in MaNGA spaxel data to explore the systematics introduced by variations in N/O on various strong-line metallicity diag…
Milky Way Analogues in MaNGA: Multi-Parameter Homogeneity and Comparison to the Milky Way
Nicholas Fraser Boardman, Gail Zasowski, Anil Seth +15
The Milky Way provides an ideal laboratory to test our understanding of galaxy evolution, owing to our ability to observe our Galaxy over fine scales. However, connecting the Galax…
Machine Learning Classifiers for Intermediate Redshift Emission Line Galaxies
Kai Zhang, David J. Schlegel, Brett H. Andrews +5
Classification of intermediate redshift ( = 0.3--0.8) emission line galaxies as star-forming galaxies, composite galaxies, active galactic nuclei (AGN), or low-ionization nuclea…
Resolved and Integrated Stellar Masses in the SDSS-IV/MaNGA Survey, Paper II: Applications of PCA-based stellar mass estimates
Zachary J. Pace, Christy Tremonti, Yanmei Chen +9
A galaxy's stellar mass is one of its most fundamental properties, but it remains challenging to measure reliably. With the advent of very large optical spectroscopic surveys, effi…
Resolved and Integrated Stellar Masses in the SDSS-IV/MaNGA Survey, Paper I: PCA spectral fitting & stellar mass-to-light ratio estimates
Zachary J. Pace, Christy Tremonti, Yanmei Chen +9
We present a method of fitting optical spectra of galaxies using a basis set of six vectors obtained from principal component analysis (PCA) of a library of synthetic spectra of 40…
Signatures of stellar accretion in MaNGA early-type galaxies
Grecco A. Oyarzun, Kevin Bundy, Kyle B. Westfall +10
The late assembly of massive galaxies is thought to be dominated by stellar accretion in their outskirts (beyond 2 effective radii Re) due to dry, minor galaxy mergers. We use obse…