Results 1 to 10 of about 1,296,799 (301)
Age-benchmark brown dwarf and planetary-mass-object spectroscopy is key to characterizing substellar evolution. In this paper, we present the JHK medium-resolution ( R ∼ 3000) spectra of 25 7–76 M _Jup (spectral types L3.0–M6.0) brown dwarfs and ...
Elena Manjavacas +5 more
doaj +1 more source
Young massive clusters (YMCs) are dense aggregates of young stars and are often speculated as potential precursors to globular clusters. However, the formation mechanism of massive and compact gas clumps that precede YMCs remains unknown.
Ryunosuke Maeda +4 more
doaj +1 more source
The Spatial Distribution of Intracluster Globular Clusters in the Fornax Cluster
We investigate the spatial distribution of the intracluster globular clusters (ICGCs) detected in the core of the Fornax galaxy cluster. By separately modeling different components of the observed population of globular clusters (GCs), we confirm the ...
Raffaele D’Abrusco +8 more
doaj +1 more source
Revisit of 77 Clusters Candidates with Multiple Main Sequences using Gaia DR3
Gaia DR3 data provide the latest and full astrometric data for more than 1.5 billion sources, and these allow us to revisit the 77 special open cluster candidates collected from LISC star cluster catalog.
Jing Chen +4 more
doaj +1 more source
oMEGACat. IV. Constraining the Ages of Omega Centauri Subgiant Branch Stars with HST and MUSE
We present age estimates for over 8100 subgiant branch (SGB) stars in Omega Centauri ( ω Cen) to study its star formation history. Our large data set, which combines multi-wavelength Hubble Space Telescope photometry with MUSE metallicities, provides an ...
C. Clontz +15 more
doaj +1 more source
Evolution of Star Clusters within Galaxies Using Self-consistent Hybrid Hydro/N-body Simulations
We introduce a GPU-accelerated hybrid hydro/ N -body code ( Enzo-N ) designed to address the challenges of concurrently simulating star clusters and their parent galaxies.
Yongseok Jo +3 more
doaj +1 more source
Multiple Machine Learning as a Powerful Tool for Star Cluster Analysis
This work proposes a multiple machine learning method (MMLM) aiming to improve the accuracy and robustness of the analysis of star clusters. The MMLM performance is evaluated by applying it to the reanalysis of an old binary cluster candidate—comprised ...
Denilso Camargo
doaj +1 more source
Is Earendel a Star Cluster?: Metal-poor Globular Cluster Progenitors at z ∼ 6
The strongly lensed z ∼ 6 Sunrise galaxy offers an incredible opportunity to investigate star formation in the early Universe on parsec or smaller scales.
Massimo Pascale +3 more
doaj +1 more source
slug IV: a novel forward-modelling method to derive the demographics of star clusters. [PDF]
Krumholz MR +3 more
europepmc +1 more source
Disk-locking Regulates Stellar Rotation in Young Clusters: Insights from NGC 2264
Many young clusters possess extended main sequences, a phenomenon commonly ascribed to stellar rotation. However, the mechanism behind their very wide stellar rotation distributions remains unclear.
Yutian Bu +3 more
doaj +1 more source

