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The DREAMS Project: Disentangling the Impact of Halo-to-Halo Variance and Baryonic Feedback on Milky Way Satellite Galaxies
Jonah C. Rose, Mariangela Lisanti, Paul Torrey +24
We analyze the properties of satellite galaxies around 1,024 Milky Way-mass hosts from the DREAMS Project, simulated within a CDM cosmology. Utilizing the TNG galaxy-formation m…
The Astrometric Resoeccentric Degeneracy: Eccentric Single Planets Mimic 2:1 Resonant Planet Pairs in Astrometry
Daniel A. Yahalomi, Tiger Lu, Philip J. Armitage +4
Detections of long-period giant exoplanets will expand dramatically with Gaia Data Release 4 (DR4), but interpreting these signals will require care. We derive the astrometric reso…
The dark matter wake of a galactic bar revealed by multichannel Singular Spectral Analysis
Jason A. S. Hunt, Michael S. Petersen, Martin D. Weinberg +7
The Milky Way is known to contain a stellar bar, as are a significant fraction of disc galaxies across the universe. Our understanding of bar evolution, both theoretically and thro…
Looking for Companionship: Radial Velocity Follow-Up of Lithium-Rich Giants with ESPRESSO
Maryum Sayeed, Andrew R. Casey, Benjamin T. Montet +4
Lithium-rich red giants have been a long-standing mystery in stellar astrophysics. A leading theory to explain these chemically peculiar and rare objects is interactions with a clo…
StarStream: Automatic detection algorithm for stellar streams
Yingtian Chen, Oleg Y. Gnedin, Adrian M. Price-Whelan +1
The Gaia mission has led to the discovery of over 100 stellar streams in the Milky Way, most of which likely originated from globular clusters (GCs). As the upcoming wide-field sur…
StarStream on Gaia: Stream discovery and mass loss rate of globular clusters
Yingtian Chen, Oleg Y. Gnedin, Adrian M. Price-Whelan
We apply the automatic stellar stream detection algorithm StarStream to Gaia Data Release 3 and identify 87 stellar streams associated with Galactic globular clusters (GCs), includ…
The Milky Way - Large Magellanic Cloud Interaction with Simulation Based Inference
Richard A. N. Brooks, Jason L. Sanders, Vedant Chandra +4
The infall of the Large Magellanic Cloud (LMC) into the Milky Way (MW) has displaced the MW's centre of mass, manifesting as an observed reflex motion in the velocities of outer ha…
Inferring Stellar Densities with Flexible Models I: The Distribution of RR Lyrae in the Milky Way with DR3
Madeline Lucey, Cecilia Mateu, Adrian Price-Whelan +3
Understanding the formation and evolutionary history of the Milky Way requires detailed mapping of its stellar components, which preserve fossil records of the Galaxy's assembly th…
The Orbital Eccentricities of Planets in the Kinematic Thin and Thick Galactic Disks
Sheila Sagear, Sarah Ballard, Kathryne J. Daniel +4
The orbital eccentricity distribution of exoplanets is shaped by a combination of dynamical processes, reflecting both formation conditions and long-term evolution. Probing the orb…
Tracing Red Giant Members of the Globular Cluster Palomar 5 with APOGEE and Gaia
Allyson A. Sheffield, Sarah Pearson, Lenin F. Nolasco +5
The globular cluster Palomar 5 (Pal 5) is in the process of being tidally shredded as it orbits the Milky Way. Its core is currently at a heliocentric distance of ~21 kpc, near apo…
The Open Cluster Chemical Abundances and Mapping Survey: VIII. Galactic Chemical Gradient and Azimuthal Analysis from SDSS/MWM DR19
Jonah M. Otto, Peter M Frinchaboy, Natalie R. Myers +16
The Open Cluster Chemical Abundances and Mapping (OCCAM) survey seeks to curate a large, comprehensive, uniform dataset of open clusters and member stars to constrain key Galactic…
The Nineteenth Data Release of the Sloan Digital Sky Survey
SDSS Collaboration, Gautham Adamane Pallathadka, Mojgan Aghakhanloo +210
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…
Sloan Digital Sky Survey-V: Pioneering Panoptic Spectroscopy
Juna A. Kollmeier, Hans-Walter Rix, Conny Aerts +217
The Sloan Digital Sky Survey-V (SDSS-V) is pioneering panoptic spectroscopy: it is the first all-sky, multi-epoch, optical-to-infrared spectroscopic survey. SDSS-V is mapping the s…
A Simulation Based Inference Approach to the Dynamics of the MW-LMC System -- Validation
Richard A. N. Brooks, Jason L. Sanders, Adam M. Dillamore +2
The infall of the LMC into the Milky Way (MW) has generated dynamical disequilibrium throughout the MW. The interaction has displaced the MW's centre of mass, manifesting as an app…
Counterculture Stars: Slow and Retrograde Stars with Low-Alpha Disk Abundances
Carrie Filion, Michael S. Petersen, Danny Horta +3
The Milky Way is home to a thin disk that can be defined via kinematics and/or elemental abundances. The elemental abundance-defined thin disk, also called the low-alpha disk, is g…
Dynamics of tidal spiral arms: Machine learning-assisted identification of equations and application to the Milky Way
Marcel Bernet, Pau Ramos, Teresa Antoja +4
Understanding the spiral arms of the Milky Way (MW) remains a key open question in galactic dynamics. Tidal perturbations, such as the recent passage of the Sagittarius dwarf galax…
Tidal Debris Candidates from the Centauri Accretion Event and its Role in Building Up the Milky Way Halo
Borja Anguiano, Arik Mitschang, Takanobu Kirihara +11
We identify stellar tidal debris from the Centauri ( Cen) system among field stars in the APOGEE survey via chemical tagging using a neural network trained on APOGEE observa…
OTI on FIRE: Testing the Efficacy of Orbital Torus Imaging to Recover the Galactic Potential
Micah Oeur, Sarah R. Loebman, Adrian M. Price-Whelan +3
Orbital Torus Imaging (OTI) is a dynamical inference method for determining the Milky Way's gravitational potential using stellar survey data. OTI uses gradients in stellar astroph…
Delayed and Displaced: The Impact of Binary Interactions on Core-collapse SN Feedback
Tom Wagg, Julianne J. Dalcanton, Mathieu Renzo +7
Core-collapse supernova feedback models in hydrodynamical simulations typically assume that all stars evolve as single stars. However, the majority of massive stars are formed in b…
: A generative, multi-output, latent-variable model for astronomical data with noisy labels
Danny Horta, Adrian M. Price-Whelan, David W. Hogg +2
The large volume of spectroscopic data available now and from near-future surveys will enable high-dimensional measurements of stellar parameters and properties. Current methods fo…