A general purpose shower parametrization algorithm for sampling calorimeters, which reproduces realistic fluctuations of the signal, is described. It makes use of a multivariate statistical analysis to infer a limited number of significant factors from the data correlation matrix. Showers can be generated on the basis of those factors via a simple analytical model. Limited data samples from experiment or Monte Carlo may be equivalently used as input, allowing either the generation of experimental-like showers or the production with a negligible computer time of a large Monte Carlo-like sample.
A statistical hadron shower parametrization for sampling calorimeters / Iaselli, G., De Palma, M., Farilla, A., Maggi, G., Natali, S., Nuzzo, S., Ranieri, A., Raso, G., Romano, F., Ruggieri, F., Selvaggi, G., Silvestris, L., Tempesta, P., Zito, G.. - In: NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT. - ISSN 0168-9002. - STAMPA. - 311:1-2(1992), pp. 122-129. [10.1016/0168-9002(92)90857-Z]
A statistical hadron shower parametrization for sampling calorimeters
Iaselli, G.;Maggi, G.;NATALI, Sergio;
1992
Abstract
A general purpose shower parametrization algorithm for sampling calorimeters, which reproduces realistic fluctuations of the signal, is described. It makes use of a multivariate statistical analysis to infer a limited number of significant factors from the data correlation matrix. Showers can be generated on the basis of those factors via a simple analytical model. Limited data samples from experiment or Monte Carlo may be equivalently used as input, allowing either the generation of experimental-like showers or the production with a negligible computer time of a large Monte Carlo-like sample.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
