Galactic Archaeology with Gaia

Deason, Alis J.; Belokurov, Vasily

doi:10.1016/j.newar.2024.101706

Cited by 4 publications

(2 citation statements)

References 407 publications

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“…GC orbits may also be affected by a variety of other factors not considered in this study, such as a time-dependent potential or changing disk orientation (e.g., Dillamore et al 2022;Nibauer et al 2024). Recent accretion of satellites is less likely to be important, since there have been no significant merger events in the inner Galaxy since the formation of the bar (Sanders et al 2024;Deason & Belokurov 2024). DF may also act to decrease the energy of clusters, counteracting resonant dragging.…”

Section: Discussionmentioning

confidence: 99%

Trojan Globular Clusters: Radial Migration via Trapping in Bar Resonances

Dillamore,

Monty,

Belokurov

et al. 2024

ApJL

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We search for globular clusters (GCs) trapped in resonances with the bar of the Milky Way (MW). By integrating their orbits in a potential with a decelerating bar, we select 10 whose orbits are significantly changed by its presence. Most of these are trapped in the corotation resonance, including M22 and 47 Tuc. The decelerating bar is capable of transporting these GCs to their current positions from much lower energies, angular momenta, and radii. Our results indicate that the bar is likely to have reshaped the MW’s GC system via its resonances. We also discuss implications for the origins of specific GCs, including the possible nuclear star cluster M22. Finally, we consider the effects of the bar on the tidal tails of a trapped GC by running simulations of stars stripped from 47 Tuc. Instead of forming narrow tails, the stripped stars make up a diffuse extended halo around the cluster, consistent with observations of 47 Tuc.

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Section: Discussionmentioning

confidence: 99%

Trojan Globular Clusters: Radial Migration via Trapping in Bar Resonances

Dillamore,

Monty,

Belokurov

et al. 2024

ApJL

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“…The most recent Gaia data release (DR3) in 2022 (Gaia Collaboration et al 2023) revealed nearly 1.5 billion sources with full astrometry, an increase of nearly 136 million sources from the prior data release in 2019. The plethora of data from Gaia has enabled advances in areas such as Galactic archeology (Poggio et al 2018;Lucey et al 2023;Deason & Belokurov 2024), stellar evolution (Jao et al 2018;Fouesneau et al 2023), and measuring cosmic distances (Bailer-Jones et al 2021;Riess et al 2021;Ripepi et al 2023). Gaia has also been pivotal in the field of WD astrophysics, increasing the number of WDs by nearly 100,000 after the second data release (Gentile Fusillo et al 2019), which contributed to such advancements as the discovery of the WD crystallization branch and cooling anomaly (Cheng et al 2019;Tremblay et al 2019) and the development of a technique for finding new variable WDs using Gaia excess photometric scatter (Guidry et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Hunting for Polluted White Dwarfs and Other Treasures with Gaia XP Spectra and Unsupervised Machine Learning

Kao,

Hawkins,

Rogers

et al. 2024

ApJ

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White dwarfs (WDs) polluted by exoplanetary material provide the unprecedented opportunity to directly observe the interiors of exoplanets. However, spectroscopic surveys are often limited by brightness constraints, and WDs tend to be very faint, making detections of large populations of polluted WDs difficult. In this paper, we aim to increase considerably the number of WDs with multiple metals in their atmospheres. Using 96,134 WDs with Gaia DR3 BP/RP (XP) spectra, we constructed a 2D map using an unsupervised machine-learning technique called Uniform Manifold Approximation and Projection (UMAP) to organize the WDs into identifiable spectral regions. The polluted WDs are among the distinct spectral groups identified in our map. We have shown that this selection method could potentially increase the number of known WDs with five or more metal species in their atmospheres by an order of magnitude. Such systems are essential for characterizing exoplanet diversity and geology.

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Stellar streams in the Gaia era

Bonaca,

Price-Whelan

2025

New Astronomy Reviews

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Galactic Archaeology with Gaia

Cited by 4 publications

References 407 publications

Trojan Globular Clusters: Radial Migration via Trapping in Bar Resonances

Trojan Globular Clusters: Radial Migration via Trapping in Bar Resonances

Hunting for Polluted White Dwarfs and Other Treasures with Gaia XP Spectra and Unsupervised Machine Learning

Stellar streams in the Gaia era

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