most citedEuclid: Early Release Observations -- Internal kinematics and the convective-transition gap of NGC 6397

1 citations · 1 across the 1 of their papers we have counts for

collaborators

5 papers

astro-ph.GA2026

The GASKAP-HI Survey towards the Magellanic Clouds: Cold Atomic Gas Survival and Evolution in the Large Magellanic Cloud

Hongxing Chen, Snezana Stanimirovic, Sne{\vz}ana Stanimirovi{ć} +20

We use atomic hydrogen (HI) absorption detections from the GASKAP-HI survey to investigate the properties of cold atomic gas in the Large Magellanic Cloud (LMC). Using the radiativ…

astro-ph.GA20261 cited

Euclid: Early Release Observations -- Internal kinematics and the convective-transition gap of NGC 6397

M. Griggio, M. Libralato, R. Gerasimov +130

We present a 'multiple-pass' data-reduction tool designed for Euclid, based on software developed for the Hubble Space Telescope (HST), which improves the astrometric and photometr…

astro-ph.GA2026

New parameters for star cluster dynamics: observational results

Barbara Lanzoni, Francesco R. Ferraro, Enrico Vesperini

We recently used a large set of Monte Carlo simulations of globular clusters (GCs) to define new fully empirical parameters (named A5, P5, and S2.5) able to trace the internal dyna…

astro-ph.GA2026

Euclid: Early Release Observations -- The extended stellar component of the IC10 dwarf galaxy

F. Annibali, A. M. N. Ferguson, P. M. Sanchez-Alarcon +175

We present a detailed analysis of the old, extended stellar component of the Local Group dwarf galaxy IC 10 using deep resolved-star photometry in the VIS and NISP bands of the Euc…

physics.chem-ph2025

Black-Box Uncertainty Estimation for Deep Learning Models in Atomistic Simulations

Idan Fonea, Amir Peles, Sivan Niv +2

We analyze an ensemble-based approach for uncertainty quantification (UQ) in atomistic neural networks. This method generates an epistemic uncertainty signal without requiring chan…