One acceleration measurement equals ~10^5 phase-space measurements for local dark matter density estimation, with acceleration outperforming Jeans modeling in both equilibrium and perturbed Milky Way simulations.
Reconciling dwarf galaxies with LCDM cosmology: Simulating a realistic population of satellites around a Milky Way-mass galaxy
9 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
Low-mass "dwarf" galaxies represent the most significant challenges to the cold dark matter (CDM) model of cosmological structure formation. Because these faint galaxies are (best) observed within the Local Group (LG) of the Milky Way (MW) and Andromeda (M31), understanding their formation in such an environment is critical. We present first results from the Latte Project: the Milky Way on FIRE (Feedback in Realistic Environments). This simulation models the formation of a MW-mass galaxy to z = 0 within LCDM cosmology, including dark matter, gas, and stars at unprecedented resolution: baryon particle mass of 7070 Msun with gas kernel/softening that adapts down to 1 pc (with a median of 25 - 60 pc at z = 0). Latte was simulated using the GIZMO code with a mesh-free method for accurate hydrodynamics and the FIRE-2 model for star formation and explicit feedback within a multi-phase interstellar medium. For the first time, Latte self-consistently resolves the spatial scales corresponding to half-light radii of dwarf galaxies that form around a MW-mass host down to Mstar > 10^5 Msun. Latte's population of dwarf galaxies agrees with the LG across a broad range of properties: (1) distributions of stellar masses and stellar velocity dispersions (dynamical masses), including their joint relation; (2) the mass-metallicity relation; and (3) a diverse range of star-formation histories, including their mass dependence. Thus, Latte produces a realistic population of dwarf galaxies at Mstar > 10^5 Msun that does not suffer from the "missing satellites" or "too big to fail" problems of small-scale structure formation. We conclude that baryonic physics can reconcile observed dwarf galaxies with standard LCDM cosmology.
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2026 9verdicts
UNVERDICTED 9representative citing papers
A PINN approach learns galactic gravitational potentials from acceleration data, achieving sub-percent errors on simulations while outperforming analytic models and retaining interpretability via structured priors.
A neural posterior estimator trained on simulated LISA foreground spectra recovers galactic binary population parameters, including total number, with good accuracy in validation tests.
New high-resolution spectra yield abundances for 7 neutron-capture elements in open cluster stars, revealing flat Milky Way gradients for second-peak s- and r-process species and shallower slopes for first-peak s-process.
New hydrodynamical simulations show that dwarf galaxy stellar mass-halo mass relations and star formation histories are more influenced by host halo concentration than by the 5 cMpc scale environment.
Simulations show fuzzy dark matter fraction up to 0.3 suppresses low-mass halos in mixed DM models, and a redshift- and fraction-dependent suppression function maps CDM HMFs to MDM HMFs within 0.1-0.2 dex accuracy for z=1-4.
Resolved stellar property gradients in Milky Way analog progenitors show inside-out assembly with minor, temporary disruption from major mergers.
Five of seven modeled M31 dwarf spheroidals show anomalously low central DM densities at 150 pc, with star formation heating disfavored as the sole cause.
HST UV spectroscopy is presented as the unique tool for probing multiphase gas at the disk-CGM interface to understand how galaxies acquire fuel, recycle metals, and drive feedback.
citing papers explorer
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An Acceleration is Worth a Hundred Thousand Phase Space Measurements
One acceleration measurement equals ~10^5 phase-space measurements for local dark matter density estimation, with acceleration outperforming Jeans modeling in both equilibrium and perturbed Milky Way simulations.
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Reconstructing Galactic Gravitational Potentials from Stellar Kinematics with Physics-Informed Neural Networks
A PINN approach learns galactic gravitational potentials from acceleration data, achieving sub-percent errors on simulations while outperforming analytic models and retaining interpretability via structured priors.
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Inferring the population properties of galactic binaries from LISA's stochastic foreground
A neural posterior estimator trained on simulated LISA foreground spectra recovers galactic binary population parameters, including total number, with good accuracy in validation tests.
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OCCAM X. Neutron Capture Abundances with Keck/HIRES & Magellan/MIKE
New high-resolution spectra yield abundances for 7 neutron-capture elements in open cluster stars, revealing flat Milky Way gradients for second-peak s- and r-process species and shallower slopes for first-peak s-process.
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Columba: isolated dwarf galaxy populations in diverse cosmological environments simulated with a cold interstellar medium
New hydrodynamical simulations show that dwarf galaxy stellar mass-halo mass relations and star formation histories are more influenced by host halo concentration than by the 5 cMpc scale environment.
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Halo mass functions in mixed cold and fuzzy dark matter models
Simulations show fuzzy dark matter fraction up to 0.3 suppresses low-mass halos in mixed DM models, and a redshift- and fraction-dependent suppression function maps CDM HMFs to MDM HMFs within 0.1-0.2 dex accuracy for z=1-4.
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Resolved Ages and Stellar Metallicities in Progenitors of Milky Way Analogs: A Closer Look at their Star Formation Histories since $z=5$
Resolved stellar property gradients in Milky Way analog progenitors show inside-out assembly with minor, temporary disruption from major mergers.
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It's Not Just Star Formation: A trend of low dark matter densities in the Andromeda dwarf galaxy system
Five of seven modeled M31 dwarf spheroidals show anomalously low central DM densities at 150 pc, with star formation heating disfavored as the sole cause.
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Revealing Cosmic Ecosystems with the Hubble Space Telescope in 2030s and Beyond
HST UV spectroscopy is presented as the unique tool for probing multiphase gas at the disk-CGM interface to understand how galaxies acquire fuel, recycle metals, and drive feedback.