activity
20152026
most citedPainting a portrait of the Galactic disc with its stellar clusters

554 citations · 1.3k across the 36 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

18 papers · 1 filter

astro-ph.GA2025

The large-scale kinematics of young stars in the Milky Way disc: first results from SDSS-V

Eleonora Zari, Jaime Villaseñor, Marina Kounkel +17

We present a first large-scale kinematic map of 50,000 young OB stars ( K), based on BOSS spectroscopy from the Milky Way Mapper OB program in the on…

astro-ph.GA2025

A Galactic Interloper: A Study of the Cam OB1 Association's Clusters and its Visitor from the Perseus Arm

Joseph Mullen, Amanda Mast, Marina Kounkel +3

Within the molecular clouds of the Camelopardis OB1 association exists a region previously noted as one subgroup. However, bulk clustering from Gaia astrometry has recently shown t…

astro-ph.GA2025

Probing Turbulence, Gravity, Supernovae, and Magnetic Field Effects with the 6D Kinematics of Young Stars in Milky Way Star-Forming Regions

Benjamin N. Velguth, Yuan Li, Trung Ha +6

The dynamics of star forming gas can be affected by many physical processes, such as turbulence, gravity, supernova explosions, and magnetic fields. In this paper, we investigate s…

astro-ph.GA2025

The Nineteenth Data Release of the Sloan Digital Sky Survey

SDSS Collaboration, Gautham Adamane Pallathadka, Mojgan Aghakhanloo +209

Mapping the local and distant Universe is key to our understanding of it. For decades, the Sloan Digital Sky Survey (SDSS) has made a concerted effort to map millions of celestial…

astro-ph.GA202222 cited

Low Mass Stars as Tracers of Star and Cluster Formation

S. T. Megeath, R. A. Gutermuth, M. A. Kounkel

We review the use of young low mass stars and protostars, or young stellar objects (YSOs), as tracers of star formation. Observations of molecular clouds at visible, infrared, radi…

astro-ph.GA202240 cited

APOGEE Net: An expanded spectral model of both low mass and high mass stars

Dani Sprague, Connor Culhane, Marina Kounkel +17

We train a convolutional neural network, APOGEE Net, to predict , , and, for some stars, [Fe/H], based on the APOGEE spectra. This is the first pipeline ada…