760 citations · 10.1k across the 126 of their papers we have counts for
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A new method to unveil embedded stellar clusters
Marco Lombardi, Charles J. Lada, Joao Alves
In this paper we present a novel method to identify and characterize stellar clusters deeply embedded in a dark molecular cloud. The method is based on measuring stellar surface de…
Estimating Extinction using Unsupervised Machine Learning
Stefan Meingast, Marco Lombardi, Joao Alves
Dust extinction is the most robust tracer of the gas distribution in the interstellar medium, but measuring extinction is limited by the systematic uncertainties involved in estima…
Fitting density models to observational data - The local Schmidt law in molecular clouds
Marco Lombardi, Charles J. Lada, João Alves
We consider the general problem of fitting a parametric density model to discrete observations, taken to follow a non-homogeneous Poisson point process. This class of models is ver…