Accès ouvert
2026
preprint
OpenAlex
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 …
Accès ouvert
2025
article
OpenAlex
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 …
Accès ouvert
2024
article
OpenAlex
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 …
Accès ouvert
2024
preprint
OpenAlex
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 …
Accès ouvert
2024
preprint
OpenAlex
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 …
Accès ouvert
2023
article
OpenAlex
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)
Accès ouvert
2022
preprint
OpenAlex
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 …
Accès ouvert
2022
dataset
OpenAlex
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)
Accès ouvert
2022
dataset
OpenAlex
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)
Accès ouvert
2021
article
OpenAlex
Albert M. Sirunyan, A. Tumasyan, W. Adam, T. Bergauer et autres
Accès ouvert
2021
article
OpenAlex
CMS Collaboration, Albert M. Sirunyan, Natascha Krammer, Carsten Hensel et autres