271 citations · 1.5k across the 52 of their papers we have counts for
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The 3D morphology of open clusters in the solar neighborhood III: Fractal dimension
Chang Qin, Xiaoying Pang, Mario Pasquato +2
We analyze the fractal dimension of open clusters using 3D spatial data from Gaia DR3 for 93 open clusters from Pang et al. (2024) and 127 open clusters from Hunt & Reffert (2024)…
A machine learning framework to generate star cluster realisations
George P. Prodan, Mario Pasquato, Giuliano Iorio +4
Context. Computational astronomy has reached the stage where running a gravitational N-body simulation of a stellar system, such as a Milky Way star cluster, is computationally fea…
Classifying binary black holes from Population III stars with the Einstein Telescope: A machine-learning approach
Filippo Santoliquido, Ulyana Dupletsa, Jacopo Tissino +7
Third-generation (3G) gravitational-wave detectors such as the Einstein Telescope (ET) will observe binary black hole (BBH) mergers at redshifts up to . However, an uneq…
Reconstructing Robust Background IFU spectra using Machine Learning
Carter Lee Rhea, Julie Hlavacek-Larrondo, Justine Giroux +6
In astronomy, spectroscopy consists of observing an astrophysical source and extracting its spectrum of electromagnetic radiation. Once extracted, a model is fit to the spectra to…