7 papers
New classification method for the dynamical state of galaxy clusters with a Gaussian mixture model
Hyowon Kim, Marco Canducci, Rory Smith +5
Galaxy clusters are the largest gravitationally bound systems, and they continue their growth through mergers in a hierarchical ÎCDM Universe. Therefore, we can describe the merge…
Two faces of Gaia-Sausage-Enceladus: Mining the chemical abundance space with graph attention networks
Milan Quandt-Rodriguez, Sara Lucatello, Lorenzo Spina +2
Recent studies suggest that chemical abundances hold the key to disentangling halo substructure, providing a more reliable tracer than dynamics alone. We aim to probe the Milky Way…
The role of supercluster filaments in shaping galaxy clusters
Raúl Baier-Soto, Yara Jaffé, Alexis Finoguenov +44
In a hierarchical CDM Universe, cosmic filaments serve as the primary channels for matter accretion into galaxy clusters, influencing the shape of their dark matter halos. We i…
Deep chemical tagging -- Identifying open clusters and moving groups in chemical space with graph attention networks
Lorenzo Spina, Milan Quandt Rodriguez, Laura Magrini +3
Reconstructing the formation history of the Milky Way is hindered by stellar migration, which erases kinematic birth signatures. In contrast, stellar chemical abundances remain sta…
Discriminative Subspace Emersion from learning feature relevances across different populations
Marco Canducci, Lida Abdi, Alessandro Prete +4
In a given classification task, the accuracy of the learner is often hampered by finiteness of the training set, high-dimensionality of the feature space and severe overlap between…
1-DREAM: 1D Recovery, Extraction and Analysis of Manifolds in noisy environments
Marco Canducci, Petra Awad, Abolfazl Taghribi +7
Filaments are ubiquitous in astronomical data sets. Be it in particle simulations or observations, filaments are always tracers of a perturbation in the equilibrium of the studied…