Physics & Astronomy
We contributed to the analysis of gamma-ray spectroscopy data collected at the Facility for Rare Isotope Beams at Michigan State University by speeding up the UCGretina simulation code, used in the analysis and planning of experiments. Simulating beam-target interactions in a liquid-hydrogen target system is a time intensive task, even when parallelized. In the process of analyzing data, a large number of simulations must be run for different gamma-ray energies, target positions, and lifetimes of excited states. We are addressing the most computationally intensive component of the simulations by adding the ability to simulate a large sample of beam particles once and re-use the simulated trajectories and gamma-ray information while allowing the variation of parameters like gamma-ray energies and the lifetimes of excited states. Our expectation is that removing redundant calculations will speed up UCGretina by orders of magnitude, reducing simulation times from almost a full day to less than one hour.
Kosa, Jake, "Improving the Efficiency of Liquid-Hydrogen Simulation Via Event Storage" (2023). Physics and Astronomy Summer Fellows. 45.
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