613 citations · 4.4k across the 121 of their papers we have counts for
5 papers · 1 filter
Genetic Algorithm Modeling with GPU Parallel Computing Technology
Stefano Cavuoti, Mauro Garofalo, Massimo Brescia +3
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implement…
Data challenges of time domain astronomy
Matthew J. Graham, S. G. Djorgovski, Ashish Mahabal +3
Astronomy has been at the forefront of the development of the techniques and methodologies of data intensive science for over a decade with large sky surveys and distributed effort…
CLaSPS: a new methodology for Knowledge extraction from complex astronomical dataset
R. D'Abrusco, G. Fabbiano, G. Djorgovski +3
In this paper we present the Clustering-Labels-Score Patterns Spotter (CLaSPS), a new methodology for the determination of correlations among astronomical observables in complex da…
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,…
Astroinformatics, data mining and the future of astronomical research
Massimo Brescia, Giuseppe Longo
Astronomy, as many other scientific disciplines, is facing a true data deluge which is bound to change both the praxis and the methodology of every day research work. The emerging…