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Profil bibliographique

Adriana Dropulic

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

11Publications signalées
42Citations signalées
0Affiliations récentes

Les domaines associés

Astronomy and Astrophysical ResearchParticle physics theoretical and experimental studiesGalaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studiesHigh-Energy Particle Collisions Research

Les publications récentes

Accès ouvert 2026 preprint OpenAlex

Baryon-Accelerated Core Collapse in SIDM Halos and its Imprint on Galactic Disks

Zeineb Mezghanni, Elliot Y Davies, Adriana Dropulic, Gonzalo Herrera et autres

The gravitational coupling between dark matter (DM) halos and the baryonic structures they host is one of the most powerful windows into the particle nature of DM. Self-interacting dark matter (SIDM) presents a minimal, well-motivated extension to the dark sector with dramatic …

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

StreamGen: Connecting Populations of Streams and Shells to Their Host Galaxies

Adriana Dropulic, Nora Shipp, Stacy Y. Kim, Zeineb Mezghanni et autres

Abstract In this work, we study how the abundance and dynamics of populations of disrupting satellite galaxies change systematically as a function of host galaxy properties. We apply a theoretical model of the phase-mixing process to classify intact satellite galaxies and stellar …

2 citations The Astrophysical Journal
Accès ouvert 2024 article OpenAlex

Efficient and Accurate Force Replay in Cosmological-baryonic Simulations

Arpit Arora, Robyn E. Sanderson, Christopher Regan, Nicolás Garavito-Camargo et autres

Abstract We construct time-evolving gravitational potential models for a Milky Way–mass galaxy from the FIRE-2 suite of cosmological-baryonic simulations using basis function expansions. These models capture the angular variation with spherical harmonics for the halo and azimuthal harmonics for the disk, and …

13 citations The Astrophysical Journal
Accès ouvert 2024 preprint OpenAlex

StreamGen: Connecting Populations of Streams and Shells to Their Host Galaxies

Adriana Dropulic, Nora Shipp, Stacy Y. Kim, Zeineb Mezghanni et autres

In this work, we study how the abundance and dynamics of populations of disrupting satellite galaxies change systematically as a function of host galaxy properties. We apply a theoretical model of the phase-mixing process to classify intact satellite galaxies, stellar stream-like and …

1 citation arXiv (Cornell University)
Accès ouvert 2024 preprint OpenAlex

Efficient and accurate force replay in cosmological-baryonic simulations

Arpit Arora, Robyn E. Sanderson, Christopher Regan, Nicolás Garavito-Camargo et autres

We construct time-evolving gravitational potential models for a Milky Way-mass galaxy from the FIRE-2 suite of cosmological-baryonic simulations using basis function expansions. These models capture the angular variation with spherical harmonics for the halo and azimuthal harmonics for the disk, and the …

0 citations arXiv (Cornell University)
Accès ouvert 2023 article OpenAlex

Revealing the Milky Way’s most recent major merger with a Gaia EDR3 catalogue of machine-learned line-of-sight velocities

Adriana Dropulic, Hongwan Liu, Bryan Ostdiek, Mariangela Lisanti

ABSTRACT Machine learning can play a powerful role in inferring missing line-of-sight velocities from astrometry in surveys such as Gaia. In this paper, we apply a neural network to Gaia Early Data Release 3 (EDR3) and obtain line-of-sight velocities and associated uncertainties …

us (code pays fourni par la source)

5 citations Monthly Notices of the Royal Astronomical Society
Accès ouvert 2022 preprint OpenAlex

Revealing the Milky Way's Most Recent Major Merger with a Gaia EDR3 Catalog of Machine-Learned Line-of-Sight Velocities

Adriana Dropulic, Hongwan Liu, Bryan Ostdiek, Mariangela Lisanti

Machine learning can play a powerful role in inferring missing line-of-sight velocities from astrometry in surveys such as Gaia. In this paper, we apply a neural network to Gaia Early Data Release 3 (EDR3) and obtain line-of-sight velocities and associated uncertainties for …

1 citation arXiv (Cornell University)
Accès ouvert 2022 dataset OpenAlex

Gaia EDR3 Catalogs of Machine-Learned Radial Velocities

Adriana Dropulic, Hongwan Liu, Bryan Ostdiek, Mariangela Lisanti

Gaia EDR3 Catalogs of Machine-Learned Radial Velocities Spatially complete Test-Set and Machine-Learned Radial Velocity (ML-RV) Catalogs described in Dropulic et al., arXiv:2205.12278. The spatially complete Test-Set Catalog contains a total of 4,332,657 stars, while the spatially complete ML-RV Catalog contains 91,840,346 stars. …

us (code pays fourni par la source)

0 citations Zenodo (CERN European Organization for Nuclear Research)
Accès ouvert 2022 dataset OpenAlex

Gaia EDR3 Catalogs of Machine-Learned Radial Velocities

Adriana Dropulic, Hongwan Liu, Bryan Ostdiek, Mariangela Lisanti

Gaia EDR3 Catalogs of Machine-Learned Radial Velocities Spatially complete Test-Set and Machine-Learned Radial Velocity (ML-RV) Catalogs described in Dropulic et al., arXiv:2205.12278. The spatially complete Test-Set Catalog contains a total of 4,332,657 stars, while the spatially complete ML-RV Catalog contains 91,840,346 stars. …

us (code pays fourni par la source)

1 citation Zenodo (CERN European Organization for Nuclear Research)

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