8.6k citations · 33.3k across the 206 of their papers we have counts for
6 papers · 2 filters
The Gaia DR3 view of dynamical substructure in the stellar halo near the Sun
Emma Dodd, Thomas M. Callingham, Amina Helmi +4
The debris from past merger events is expected and, to some extent, known to populate the stellar halo near the Sun. We aim to identify and characterise such merger debris using Ga…
Unveiling the past evolution of the progenitor of the Helmi streams
T. Ruiz-Lara, A. Helmi, C. Gallart +2
We aim to determine unique features that characterise the past evolution of the progenitor of the Helmi streams through the analysis of star formation histories (SFHs). From the 5D…
High-precision chemical abundances of Galactic building blocks. II. Revisiting the chemical distinctness of the Helmi streams
Tadafumi Matsuno, Emma Dodd, Helmer H. Koppelman +6
Context: The Helmi streams are a kinematic substructure whose progenitor is likely a dwarf galaxy. Although 20 years have passed since their discovery, it is still unclear whether…
Characterization and dynamics of the peculiar stream Jhelum, A tentative role for the Sagittarius dwarf galaxy
Hanneke C. Woudenberg, Orlin Koop, Eduardo Balbinot +1
Stellar streams are a promising tool to study the Milky Way's dark matter subhalo population, as interactions with subhalos could produce substructure in streams. However, other po…
Substructure in the stellar halo near the Sun. II. Characterisation of independent structures
Tomás Ruiz-Lara, Tadafumi Matsuno, S. Sofie Lövdal +3
In Lövdal et al, we presented a data-driven method for clustering in Integrals of Motion space and applied it to a large sample of nearby halo stars with 6D phase-space information…
Substructure in the stellar halo near the Sun. I. Data-driven clustering in Integrals of Motion space
S. Sofie Lövdal, Tomás Ruiz-Lara, Helmer H. Koppelman +3
Aims: Develop a data-driven and statistically based method for finding such clumps in Integrals of Motion space for nearby halo stars and evaluating their significance robustly. Me…