244 citations · 1.2k across the 46 of their papers we have counts for
47 papers
Using Machine Learning to Model Stellar Collisions in our Galactic Center
Tristan C. Sand, Sanaea C. Rose, Elena González Prieto +8
Direct collisions in the inner pc of the Galactic center can alter the orbits and properties of stars. The outcome of a collision depends on a number of parameters, including the m…
Stellar streams around dwarf galaxies are observationally rare in the local Universe
Joanna D. Sakowska, David Martíınez-Delgado, Sarah Pearson +6
The frequency and properties of stellar streams around dwarf galaxies remain observationally under-explored. Building a statistically significant sample is challenging because dwar…
Evidence for the First Globular Cluster Stellar Stream beyond the Milky Way
Julie Kiel Holm, Sarah Pearson, Jacob Nibauer +5
The dark matter content of ultra-diffuse galaxies is the subject of considerable debate. Stellar streams, which form when a host galaxy tidally strips stars from an orbiting stella…
ShuffleFlow: Scalable Posterior Inference for Bayesian Inverse Imaging
Tianao Li, Tjitske Starkenburg, Yu Sun +1
Variational inference (VI) is a powerful method for principled posterior inference for scientific inverse imaging. VI learns the posterior distribution, often with a flow-based net…
Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation
Viraj Pandya, Greg L. Bryan, T. Lucas Makinen +18
Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for years, but their evolution equations remain poorly constrained. We introduce…
Modeling Globular Cluster Stellar Streams with a Basis-Expansion N-body Code
Brian T. Cook, Kerwann Tep, Carl L. Rodriguez +6
Globular cluster stellar streams probe galaxy-formation processes and can potentially reveal the distribution of dark matter in galaxies. In many theoretical studies, streams are m…
Machine Learning Methods for Stellar Collisions. I. Predicting Outcomes of SPH Simulations
Elena González Prieto, James C. Lombardi, Sanaea C. Rose +7
Stellar collisions can occur frequently in dense cluster environments, and play a crucial role in producing exotic phenomena from blue stragglers in globular clusters to high-energ…
Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration
LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63
The Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) will produce unprecedented volumes of heterogeneous astronomical data (images, catalogs, and alerts) that cha…
Picture an Astronomer: Best Practices for Retaining Talent in Astrophysics
Ava Polzin, Katherine E. Whitaker, C. Megan Urry +85
Women are consistently underrepresented in astrophysics yet are simultaneously subject to disproportionate attrition at every career stage. This disparity between demonstrated effi…
Forecasting Dark Matter Subhalo Constraints from Stellar Streams using Implicit Likelihood Inference
Tri Nguyen, Rutong Pei, Zhuofu Li +9
The evidence for dark matter (DM) remains compelling, although attempts to understand its particle nature remain inconclusive. One promising method to study DM is detecting DM subh…
Stellar streams around dwarf galaxies in the Local Universe
Joanna D. Sakowska, David Martínez-Delgado, Sarah Pearson +6
While mergers between massive galaxies and their dwarf satellites are well studied, the properties of dwarf - dwarf satellite mergers are not well constrained. Stellar streams trac…
Breaking Down the : Toward Modeling and Understanding Globular Cluster Stellar Streams in a Fully Cosmological Context
Nondh Panithanpaisal, Robyn E. Sanderson, Carl L. Rodriguez +7
Next-generation surveys are expected to uncover thousands of globular cluster (GC) stellar streams, motivating the need for a theoretical framework that produces realistic GC strea…
LIMFAST. IV. Learning High-Redshift Galaxy Formation from Multiline Intensity Mapping with Implicit Likelihood Inference
Guochao Sun, Tri Nguyen, Claude-André Faucher-Giguère +5
By opening up new avenues to statistically constrain astrophysics and cosmology with large-scale structure observations, the line intensity mapping (LIM) technique calls for novel…
How does feedback affect the star formation histories of galaxies?
Kartheik G. Iyer, Tjitske K. Starkenburg, Greg L. Bryan +20
Star formation in galaxies is regulated by the interplay of a range of processes that shape the multiphase gas in the interstellar and circumgalactic media. Using the CAMELS suite…
ChemZz I: Comparing Oxygen and Iron Abundance Patterns in the Milky Way, the Local Group and Cosmic Noon
Stephanie Monty, Allison L. Strom, Thomas M. Stanton +7
Our understanding of the chemical evolution of galaxies has advanced through measurements from both distant galaxies across redshift, and our own Milky Way (MW). To form a comprehe…
Dancing Streams In Merging Halos: Stellar Streams in a MW--LMC-like merger
Sachi Weerasooriya, Tjitske Starkenburg, Emily C. Cunningham +1
Stellar streams -- formed from tidally stripped globular clusters or dwarf galaxies -- are sensitive tracers of a galaxy's accretion history and gravitational potential. While nume…
Trial by FIRE: Probing the dark matter density profile of dwarf galaxies with GraphNPE
Tri Nguyen, Justin Read, Lina Necib +4
The Dark Matter (DM) distribution in dwarf galaxies provides crucial insights into both structure formation and the particle nature of DM. GraphNPE (Graph Neural Posterior Estimato…
Learning the Universe: physically-motivated priors for dust attenuation curves
Laura Sommovigo, Rachel K. Cochrane, Rachel S. Somerville +9
Understanding the impact of dust on the spectral energy distributions (SEDs) of galaxies is crucial for inferring their physical properties and for studying the nature of interstel…
Streams, Shells, and Substructures in the Accretion-Built Stellar Halo of NGC 300
Catherine E. Fielder, David J. Sand, Michael G. Jones +27
We present deep optical observations of the stellar halo of NGC 300, an LMC-mass galaxy, acquired with the DEEP sub-component of the DECam Local Volume Exploration survey (DELVE) u…
Learning the Universe: Cosmological and Astrophysical Parameter Inference with Galaxy Luminosity Functions and Colours
Christopher C. Lovell, Tjitske Starkenburg, Matthew Ho +9
We perform the first direct cosmological and astrophysical parameter inference from the combination of galaxy luminosity functions and colours using a simulation based inference ap…
Prospects for Detecting Gaps in Globular Cluster Stellar Streams in External Galaxies with the Nancy Grace Roman Space Telescope
Christian Aganze, Sarah Pearson, Tjitske Starkenburg +5
Stellar streams form through the tidal disruption of satellite galaxies or globular clusters orbiting a host galaxy. Globular cluster streams are exciting since they are thin (dyna…
JWST constraints on the UV luminosity density at cosmic dawn: implications for 21-cm cosmology
Sultan Hassan, Christopher C. Lovell, Piero Madau +10
An unprecedented array of new observational capabilities are starting to yield key constraints on models of the epoch of first light in the Universe. In this Letter we discuss the…
VINTERGATAN-GM: The cosmological imprints of early mergers on Milky-Way-mass galaxies
Martin P. Rey, Oscar Agertz, Tjitske K. Starkenburg +6
We present a new suite of cosmological zoom-in hydrodynamical ( spatial resolution) simulations of Milky-Way mass galaxies to study how a varying mass rat…
Code Comparison in Galaxy Scale Simulations with Resolved Supernova Feedback: Lagrangian vs. Eulerian Methods
Chia-Yu Hu, Matthew C. Smith, Romain Teyssier +8
We present a suite of high-resolution simulations of an isolated dwarf galaxy using four different hydrodynamical codes: {\sc Gizmo}, {\sc Arepo}, {\sc Gadget}, and {\sc Ramses}. A…