2 citations · 4 across the 3 of their papers we have counts for
6 papers
Multidimensional data classification with artificial neural networks
P. Boinee, F. Barbarino, A. De Angelis
Multi-dimensional data classification is an important and challenging problem in many astro-particle experiments. Neural networks have proved to be versatile and robust in multi-di…
Data Management and Mining in Astrophysical Databases
M. Frailis, A. De Angelis, V. Roberto
We analyse the issues involved in the management and mining of astrophysical data. The traditional approach to data management in the astrophysical field is not able to keep up wit…
Automatic Classification using Self-Organising Neural Networks in Astrophysical Experiments
P. Boinee, A. De Angelis, E. Milotti
Self-Organising Maps (SOMs) are effective tools in classification problems, and in recent years the even more powerful Dynamic Growing Neural Networks, a variant of SOMs, have been…
The simulation of astroparticle experiments and the GEANT4 toolkit
Alessandro De Angelis
The new generation of astroparticle experiments will use technologies common to High Energy Physics. Among such technologies a central place is given to the role of simulation.
Study of Hadronic Decays of the Z Boson at LEP
Alessandro de Angelis
This report summarizes four recent papers on the characteristics of the hadronic decays of the Z by the LEP collaborations ALEPH, DELPHI and OPAL.
Two topics in multiparticle dyamics at LEP: multiplicity in b-bbar events and screwiness at the end of the QCD cascade
Alessandro de Angelis
This talk deals with two topics in multiparticle dynamics investigated by means of the DELPHI detector at LEP. Related to the first topic, we have used the data collected at 183 Ge…