339 citations · 9k across the 178 of their papers we have counts for
10 papers · 1 filter
The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation
Shoko Jin, Scott C. Trager, Gavin B. Dalton +212
WEAVE, the new wide-field, massively multiplexed spectroscopic survey facility for the William Herschel Telescope, will see first light in late 2022. WEAVE comprises a new 2-degree…
: 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.…
C3, A Command-line Catalogue Cross-match tool for large astrophysical catalogues
Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti +3
Modern Astrophysics is based on multi-wavelength data organized into large and heterogeneous catalogues. Hence, the need for efficient, reliable and scalable catalogue cross-matchi…
A Command-line Cross-matching tool for modern astrophysical pipelines
Giuseppe Riccio, Massimo Brescia, Stefano Cavuoti +3
The emerging need for efficient, reliable and scalable astronomical catalog cross-matching is becoming more pressing in the current data-driven science era, where the size of data…
Advanced Environment for Knowledge Discovery in the VIALACTEA Project
Ugo Becciani, Marilena Bandieramonte, Massimo Brescia +16
The VIALACTEA project aims at building a predictive model of star formation in our galaxy. We present the innovative integrated framework and the main technologies and methodologie…
Machine learning based data mining for Milky Way filamentary structures reconstruction
Giuseppe Riccio, Stefano Cavuoti, Eugenio Schisano +7
We present an innovative method called FilExSeC (Filaments Extraction, Selection and Classification), a data mining tool developed to investigate the possibility to refine and opti…
Photometric redshifts for Quasars in multi band Surveys
M. Brescia, S. Cavuoti, R. D'Abrusco +2
MLPQNA stands for Multi Layer Perceptron with Quasi Newton Algorithm and it is a machine learning method which can be used to cope with regression and classification problems on co…
Inside catalogs: a comparison of source extraction software
M. Annunziatella, A. Mercurio, M. Brescia +2
The scope of this paper is to compare the catalog extraction performances obtained using the new combination of SExtractor with PSFEx, against the more traditional and diffuse appl…
Photometric redshifts with Quasi Newton Algorithm (MLPQNA). Results in the PHAT1 contest
Stefano Cavuoti, Massimo Brescia, Giuseppe Longo +1
Context. Since the advent of modern multiband digital sky surveys, photometric redshifts (photo-z's) have become relevant if not crucial to many fields of observational cosmology,…
A decline and fall in the future of Italian Astronomy?
Angelo Antonelli, Vincenzo Antonuccio-Delogu, Andrea Baruffolo +89
On May 27th 2010, the Italian astronomical community learned with concern that the National Institute for Astrophysics (INAF) was going to be suppressed, and that its employees wer…