219 citations · 1.1k across the 56 of their papers we have counts for
7 papers · 1 filter
Astrophysical Data Analytics based on Neural Gas Models, using the Classification of Globular Clusters as Playground
Giuseppe Angora, Massimo Brescia, Giuseppe Riccio +3
In Astrophysics, the identification of candidate Globular Clusters through deep, wide-field, single band HST images, is a typical data analytics problem, where methods based on Mac…
Probability density estimation of photometric redshifts based on machine learning
Stefano Cavuoti, Massimo Brescia, Valeria Amaro +3
Photometric redshifts (photo-z's) provide an alternative way to estimate the distances of large samples of galaxies and are therefore crucial to a large variety of cosmological pro…
: A Command-line Catalogue Cross-matching tool for modern astrophysical survey data
Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti +3
In the current data-driven science era, it is needed that data analysis techniques has to quickly evolve to face with data whose dimensions has increased up to the Petabyte scale.…
METAPHOR: Probability density estimation for machine learning based photometric redshifts
Valeria Amaro, Stefano Cavuoti, Massimo Brescia +3
We present METAPHOR (Machine-learning Estimation Tool for Accurate PHOtometric Redshifts), a method able to provide a reliable PDF for photometric galaxy redshifts estimated throug…
The third data release of the Kilo-Degree Survey and associated data products
J. T. A. de Jong, G. A. Verdoes Kleijn, T. Erben +40
The Kilo-Degree Survey (KiDS) is an ongoing optical wide-field imaging survey with the OmegaCAM camera at the VLT Survey Telescope. It aims to image 1500 square degrees in four fil…
The Euclid Data Processing Challenges
Pierre Dubath, Nikolaos Apostolakos, Andrea Bonchi +37
Euclid is a Europe-led cosmology space mission dedicated to a visible and near infrared survey of the entire extra-galactic sky. Its purpose is to deepen our knowledge of the dark…