6 On the Fragment Production and Phase Transition Using QMD + SACA Model
77
Fig. 6.5 Correlation
between the fragment
charges within events for the
MSTP (top) and SACA
(bottom) at the
corresponding critical
energies
6.4 Summary
In the present study, we have shown the role of clusterization algorithms on the prediction of liquid–gas phase transition in nuclear matter. We have used the QMD model
to simulate the phase space of nucleons and fragments are constructed using local
correlation methods and energy-based algorithm. We found that the energy-based
clusterization is best among all and can describe the realistic physics of liquid–gas
phase transition. This algorithm is also found to be consistent with the experimental
observations. Later, we showed fragment-fragment correlations within the events
and event-by-event correlations.
77
Fig. 6.5 Correlation
between the fragment
charges within events for the
MSTP (top) and SACA
(bottom) at the
corresponding critical
energies
6.4 Summary
In the present study, we have shown the role of clusterization algorithms on the prediction of liquid–gas phase transition in nuclear matter. We have used the QMD model
to simulate the phase space of nucleons and fragments are constructed using local
correlation methods and energy-based algorithm. We found that the energy-based
clusterization is best among all and can describe the realistic physics of liquid–gas
phase transition. This algorithm is also found to be consistent with the experimental
observations. Later, we showed fragment-fragment correlations within the events
and event-by-event correlations.