TY  - JOUR
A1  - Bass, Steffen A.
A1  - Bischoff, Arnd
A1  - Hartnack, Christoph
A1  - Maruhn, Joachim
A1  - Reinhardt, Joachim
A1  - Stöcker, Horst
A1  - Greiner, Walter
T1  - Neural networks for impact parameter determination
T2  - Journal of Physics G: Nuclear and particle physics
N2  - Accurate impact parameter determination in a heavy-ion collision is crucial for almost all further analysis. We investigate the capabilities of an artificial neural network in that respect. First results show that the neural network is capable of improving the accuracy of the impact parameter determination based on observables such as the flow angle, the average directed inplane transverse momentum and the difference between transverse and longitudinal momenta. However, further investigations are necessary to discover the full potential of the neural network approach.
Y1  - 2006
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/2700
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-27026
VL  - 20
SP  - L21
EP  - L26
PB  - IOP Publishing
ER  -