Degree Name

BS in Physics


Physics Department


Jennifer Klay


In order to understand the geometry of nuclear collisions, an iPython-based simulation of the Monte- Carlo Glauber model was created. The simulation utilizes nuclear charge density distributions to create nuclei and cross-section data from the Particle Data Group to generate large samples of nuclear collisions. The simulation correlates the number of nucleons participating in a collision as well as the number of binary collisions as a function of the impact parameter for each event. Good agreement between the program and expected results for Au+Au collisions at beam energies of 200 GeV is demonstrated. The program also makes predictions on future RHIC experiments including He3 + Au197 collisions at beam energies of 200 GeV. Individual collisions are visually represented, demonstrating the event-by-event variation of particular geometric overlaps, which are obscured in the ensemble data.

Included in

Nuclear Commons