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Abstract. Techniques used in neutron activation analysis are often dependent on the experimental setup. In the context of developing a portable and high efficiency detection array, good energy resolution and half-life discrimination are difficult to obtain with traditional methods [1] given the logistic and financial constraints. An approach different from that of spectrum addition and standard spectroscopy analysis [2] was needed. The use of multiple detectors prompts the need for a flexible storage of acquisition data to enable sophisticated post processing of information. Analogously to what is done in heavy ion physics, gamma detection counts are stored as two-dimensional events. This enables post-selection of energies and time frames without the need to modify the experimental setup. This method of storage also permits the use of more complex analysis tools. Given the nature of the problem at hand, a light and efficient analysis code had to be devised. A thorough understanding of the physical and statistical processes [3] involved was used to create a statistical model. Maximum likelihood estimation was combined with metaheuristics to produce a sophisticated curve-fitting algorithm. Simulated and experimental data were fed into the analysis code prompting positive results in terms of half-life discrimination, peak identification and noise reduction. The code was also adapted to other fields of research such as heavy ion identification of the quasi-target (QT) and quasi-particle (QP). The approach used seems to be able to translate well into other fields of research.

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Abstract. The multidetector HERACLES studies heavy-ion collisions at TRIUMF, with ion beams with an energy range between 8 to 15 MeV per nucleon. Seventy-eight detectors are axially distributed around the beam axis in 6 rings allowing detection of multiple charged fragments from nuclear reactions. Experimental data was collected by HERA-CLES from a radioactive 25 Na beam and a stable 25 Mg beam at 9.23 MeV per nucleon on a carbon target. For analysis, we compare experimental data with a hybrid code. Antisymmetrized Molecular Dynamics (AMD) treats the dynamics of colliding systems and GEMINI for the statistical deexcitation of fragments.