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DAME: A Distributed Data Mining & Exploration Framework within the Virtual Observatory
M. Brescia, S. Cavuoti, R. D'Abrusco +2
Nowadays, many scientific areas share the same broad requirements of being able to deal with massive and distributed datasets while, when possible, being integrated with services a…
On the Number of Cosmic Strings
Rosa Consiglio, Olga Sazhina, Giuseppe Longo +2
The number of cosmic strings in the observable universe is relevant in determining the probability of detecting such cosmic defects through their gravitational signatures. In parti…
VOGCLUSTERS: an example of DAME web application
Marco Castellani, Massimo Brescia, Ettore Mancini +2
We present the alpha release of the VOGCLUSTERS web application, specialized for data and text mining on globular clusters. It is one of the web2.0 technology based services of Dat…
Extracting Knowledge From Massive Astronomical Data Sets
Massimo Brescia, Stefano Cavuoti, S. G. Djorgovski +3
The exponential growth of astronomical data collected by both ground based and space borne instruments has fostered the growth of Astroinformatics: a new discipline laying at the i…
Constraints on sterile neutrino dark matter from XMM--Newton observation of M33
Enrico Borriello, Maurizio Paolillo, Gennaro Miele +2
Using archival XMM-Newton observations of the diffuse and unresolved components emission in the inner disc of M33 we exclude the possible contribution from narrow line emission in…
Astroinformatics of galaxies and quasars: a new general method for photometric redshifts estimation
Omar Laurino, Raffaele D'Abrusco, Giuseppe Longo +1
With the availability of the huge amounts of data produced by current and future large multi-band photometric surveys, photometric redshifts have become a crucial tool for extragal…