Pion correlations as a function of atomic mass in heavy ion collisions Page: 21 of 130
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Chapter 3
Motivation and Theory
3.1 Motivation
Virtually all the computer codes[30] that are being used to predict the properties of
nuclear collisions at the present time are transport codes of one.form or another. Since it
is desirable to be able to predic, the properties of the collision as a function of the impact
parameter, almost all of the codes have the ability to locate the nucleons in space. Since
pion production is part of the nuclear collision, these codes are capable of predicting the
density of the pion sources in space. The codes that allow scattering of the pions generally
allow one to modify "sources" to mean the location of the last scattering of the pion before
it leaves the collision. So, if nuclear transport codes are to be able to correctly predict
quantities that reflect the nucleon distributions during the course of the nuclear collision
then they must be able to correctly predict the pion source size.
The difficulty is in generating the theoretical source size to compare to the measured
sizes.1 This has been dune in the case of 1.70 - A GeV N6Fe + Fe, using the Cascade
model[27, 32], which is part of the data reported here. In principle, predicted source
sizes (in the parameterization of the correlation function used in this thesis) for all of the
computer codes in use, could be generated for all of the reactions studied here. Because of
the large number of codes and unmanageably large amounts of CPU time that would be
required, generating source sizes for all the computer transport codes was not attempted
'Zajc[31] gives procedram for symmetriring large sambers of Monte Carlo pions from the same collision,
bet one still kas to generate the pions.11
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Chacon, A.D. Pion correlations as a function of atomic mass in heavy ion collisions, report, November 26, 1989; Berkeley, California. (https://digital.library.unt.edu/ark:/67531/metadc1055804/m1/21/: accessed July 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.