From the 1 of 8 linked papers with an AI index.
8 papers
A Galactic intermediate-mass stripped star with a Wolf-Rayet-like wind
Johanna Müller-Horn, Kareem El-Badry, Andreas A. C. Sander +17
Binary interaction in massive stars is expected to produce a large population of intermediate-mass (- M) envelope-stripped stars, yet such objects have remained elusi…
The Twentieth Data Release of the Sloan Digital Sky Survey: First All-Sky BOSS Spectra, eROSITA-SDSS-V Mapper Coordinated Observations, and a Preview of the Local Volume Mapper
SDSS Collaboration, Mojgan Aghakhanloo, David Aguilar +273
The paper describes the twentieth data release (DR20) of the Sloan Digital Sky Survey, providing over 3 million new optical spectra from the SDSS‑V Milky Way, Black Hole, and Local…
The DESIRED temperature-metallicity relations in star-forming regions: probing the Galactic radial and azimuthal metallicity distributions
I. Rafael MartÃnez-Hernández, J. Eduardo Méndez-Delgado, César Esteban +17
We analyse a sample of 225 star-forming regions from the DESIRED-E project, each with simultaneous determinations of the electron temperature from ionized nitrogen and oxygen, $T_{…
robostrategy: Field and Target Assignment Optimization in the Sloan Digital Sky Survey V
Michael R. Blanton, Joleen K. Carlberg, Tom Dwelly +12
We present an algorithmic method for efficiently planning a long-term, large-scale multi-object spectroscopy program. The Sloan Digital Sky Survey V (SDSS-V) Focal Plane System per…
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…
Procedures for Constraining Robotic Fiber Positioning for Highly Multiplexed Spectroscopic Surveys: The Case of FPS for SDSS-V
Ilija Medan, Tom Dwelly, Kevin R. Covey +12
One crucial aspect of planning any large scale astronomical survey is constructing an observing strategy that maximizes reduced data quality. This is especially important for surve…