We investigated almost 500 stars distributed among 193 binary or multiple systems made of late-F, G-, or early-K-primaries and late-K- or M-dwarf companion candidates. For all of them, we compiled or measured coordinates, J-band magnitudes, spectral types, distances, and proper motions. With these data, we established a sample of 192 physically

We introduce PHI, a fully Bayesian Markov chain Monte Carlo algorithm designed for the structural decomposition of galaxy images. PHI uses a triple layer approach to effectively and efficiently explore the complex parameter space. Combining this with the use of priors to prevent non-physical models, PHI offers a number of significant advantages for

We present a compositional classification of 374 V-type asteroids selected from the MOVIS catalogue. The classification was made by comparing the V-types colors with those of a sample of 65 HED(Howardites, Eucrites, Diogenites) meteorites from RELAB database. We found that 51 % of the V-type asteroids can be associated with Eucrites, 29 % with

El gran volumen de datos generados por los surveys astronómicos modernas ofrece una oportunidad interesante para la aplicación de machine learning. Es esencial explorar todas las herramientas existentes y determinar cuáles son adecuadas para generar conocimiento científico a partir de la observación disponible. El objetivo principal de esta tesis

The work presented in this article is part of a wide-ranging and ambitious project, started few years ago, to study the role of astronomy in Roman urban layout. In particular, the main aim is to check whether Roman cities present astronomical patterns in their orientations. The project emerged from ideas on how to properly orientate the main