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13 papers · 2 filters
The Sixteenth Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra
Romina Ahumada, Carlos Allende Prieto, Andres Almeida +310
This paper documents the sixteenth data release (DR16) from the Sloan Digital Sky Surveys; the fourth and penultimate from the fourth phase (SDSS-IV). This is the first release of…
Inward Bound: The incredible journey of massive black holes as they pair and merge; I. The effect of mass ratio in flattened rotating galactic nuclei
Fazeel Mahmood Khan, Muhammad Awais Mirza, Kelly Holley-Bockelmann
Understanding how supermassive black holes (SMBHs) pair and merge helps to inform predictions of off-center, dual, and binary AGN, and provides key insights into how SMBHs grow and…
Angular momentum and morphological sequence of massive galaxies through Dark Sage
Antonio J. Porras-Valverde, Kelly Holley-Bockelmann, Andreas A. Berlind +1
We study the present-day connection between galaxy morphology and angular momentum using the {\sc Dark Sage} semi-analytic model of galaxy formation. For galaxies between $ 10^{11}…
Deficit of Luminous and Normal Red Galaxies in Cosmic Voids
Sean Bruton, Xinyu Dai, Eduardo Guerras +1
We construct a sample of 10,680 wall galaxies and 3,064 void galaxies with by cross referencing a void catalog from literature with Baryon Oscillation Spectrosco…
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…
Star-Forming, Rotating Spheroidal Galaxies in the GAMA and SAMI Surveys
Amanda J. Moffett, Steven Phillipps, Aaron S. G. Robotham +23
The Galaxy And Mass Assembly (GAMA) survey has morphologically identified a class of "Little Blue Spheroid" (LBS) galaxies whose relationship to other classes of galaxies we now ex…
Space Telescope and Optical Reverberation Mapping Project. VIII. Time Variability of Emission and Absorption in NGC 5548 Based on Modeling the Ultraviolet Spectrum
G. A. Kriss, G. De Rosa, J. Ely +164
We model the ultraviolet spectra of the Seyfert 1 galaxy NGC~5548 obtained with the Hubble Space Telescope during the 6-month reverberation-mapping campaign in 2014. Our model of t…
The structure of the Orion Nebula in the direction of Theta 1 Ori C
N. P. Abel, G. J. Ferland, C. R. O'Dell
We have used existing optical emission and absorption lines, [C II] emission lines, and H I absorption lines to create a new model for a Central Column of material near the Trapezi…
The Milky Way Project Second Data Release: Bubbles and Bow Shocks
Tharindu Jayasinghe, Don Dixon, Matthew S. Povich +9
Citizen science has helped astronomers comb through large data sets to identify patterns and objects that are not easily found through automated processes. The Milky Way Project (M…
ASKAP Commissioning Observations of the GAMA 23 Field
Denis A. Leahy, A. M. Hopkins, R. P. Norris +25
We have observed the G23 field of the Galaxy And Mass Assembly (GAMA) survey using the Australian Square Kilometre Array Pathfinder (ASKAP) in its commissioning phase, to validate…
Addressing the [O III]/H\b{eta} Offset of Dwarf Galaxies in the RESOLVE Survey
Chris T. Richardson, Mugdha S. Polimera, Sheila J. Kannappan +2
Metal poor dwarf galaxies in the local universe, such as those found in the RESOLVE galaxy survey, often produce high [O III]/H\b{eta} ratios close to the star forming demarcation…
Lens Model and Source Reconstruction Reveal the Morphology and Star Formation Distribution in the Cool Spiral LIRG SGAS J143845.1145407
Samuel J. Dunham, Keren Sharon, Michael K. Florian +8
We present () imaging and grism spectroscopy of a strongly lensed LIRG at , SGAS 143845.1145407, and use the magnification boost of grav…
Prediction of galaxy halo masses in SDSS DR7 via a machine learning approach
Victor F. Calderon, Andreas A. Berlind
We present a machine learning (ML) approach for the prediction of galaxies' dark matter halo masses that achieves an improved performance over conventional methods. We train three…