Phys. Rev. C 55, 1371 - 1375 (1997)Impact parameter determination in experimental analysis using a neural network |
F. Haddad1,2, K. Hagel1, J. Li1, N. Mdeiwayeh1, J. B. Natowitz1, R. Wada1, B. Xiao1, C. David2, M. Freslier2, and J. Aichelin2
1Cyclotron Institute, Texas A&M University, College Station, Texas 77843
2Subatech, 4 Av A. Kastler, 44070 Nantes cedex 03, France
Received 11 July 1996
A neural network is used to determine the impact parameter in 40Ca+40Ca reactions. The effect of the detection efficiency as well as the model dependence of the training procedure has been studied carefully. An overall improvement of the impact parameter determination of 25% is obtained using this technique. The analysis of Amphora 40Ca+40Ca data at 35 MeV per nucleon using a neural network shows two well-separated classes of events among the selected “complete” events.
©1997 The American Physical Society
URL: http://link.aps.org/abstract/PRC/v55/p1371
DOI: 10.1103/PhysRevC.55.1371
PACS: 25.70.-z, 07.05.Mh, 24.10.Cn
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