Neutron recognition in the LAND detector for large neutron multiplicity
P. Paw{\l}owski, J. Brzychczyk, Y. Leifels, W. Trautmann, P. Adrich,, T. Aumann, C. O. Bacri, T. Barczyk, R. Bassini, S. Bianchin, C. Boiano, K., Boretzky, A. Boudard, A. Chbihi, J. Cibor, B. Czech, M. De Napoli, J.-E., Ducret, H. Emling, J. D. Frankland, T. Gorbinet
TL;DR
This paper evaluates the LAND detector's neutron recognition capabilities, introducing a new algorithm for neutron shower identification and assessing its efficiency in high-multiplicity neutron detection scenarios.
Contribution
The paper presents a novel neutron recognition algorithm and compares its performance with existing methods using experimental data from GSI.
Findings
The new algorithm improves neutron shower recognition accuracy.
Detection efficiency of LAND is quantitatively estimated.
Performance comparison shows advantages over previous methods.
Abstract
The performance of the LAND neutron detector is studied. Using an event-mixing technique based on one-neutron data obtained in the S107 experiment at the GSI laboratory, we test the efficiency of various analytic tools used to determine the multiplicity and kinematic properties of detected neutrons. A new algorithm developed recently for recognizing neutron showers from spectator decays in the ALADIN experiment S254 is described in detail. Its performance is assessed in comparison with other methods. The properties of the observed neutron events are used to estimate the detection efficiency of LAND in this experiment.
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