271 citations · 1.5k across the 52 of their papers we have counts for
5 papers · 1 filter
Parameter Estimation for Open Clusters using an Artificial Neural Network with a QuadTree-based Feature Extractor
L. Cavallo, L. Spina, G. Carraro +7
With the unprecedented increase of known star clusters, quick and modern tools are needed for their analysis. In this work, we develop an artificial neural network trained on synth…
Interpretable machine learning for finding intermediate-mass black holes
Mario Pasquato, Piero Trevisan, Abbas Askar +4
Definitive evidence that globular clusters (GCs) host intermediate-mass black holes (IMBHs) is elusive. Machine learning (ML) models trained on GC simulations can in principle pred…
Quadtree features for machine learning on CMDs
Jose Schiappacasse-Ulloa, Mario Pasquato, Sara Lucatello
The upcoming facilities like the Vera C. Rubin Observatory will provide extremely deep photometry of thousands of star clusters to the edge of the Galaxy and beyond, which will req…
Sparse logistic regression for RR Lyrae vs binaries classification
Piero Trevisan, Mario Pasquato, Gaia Carenini +4
RR Lyrae (RRL) are old, low-mass radially pulsating variable stars in their core helium burning phase. They are popular stellar tracers and primary distance indicators, since they…
Dynamics of intermediate mass black holes in globular clusters. Wander radius and anisotropy profiles
Pierfrancesco Di Cintio, Mario Pasquato, Luca Barbieri +2
We recently introduced a new method for simulating collisional gravitational N-body systems with approximately linear time scaling with , based on the Multi-Particle Collision (…