Disputation: Fabio Zeiser
Doctoral candidate Fabio Zeiser at the Department of Physics, Faculty of Mathematics and Natural Sciences, is defending the thesis
"Uncertainty quantification for nuclear level densities and γ-ray strength functions from the Oslo method and beyond"
for the degree of Philosophiae Doctor.
The PhD defence and trial lecture are fully digital and streamed using Zoom. The chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the audience to ask ex auditorio questions either written or oral. This can be requested by clicking 'Participants' and then choose 'Raise hand'.
"Evidence for heavy-element nucleosynthesis
in neutron star mergers"
Main research findings
Despite the quantum mechanical nature of the atomic nucleus, many important properties of nuclei and nuclear reactions can be well described by average statistical properties. Our knowledge of these properties does not only influence our basic understanding of the nucleus, but may also affect various applications ranging from cancer treatment within nuclear medicine, to astrophysics and the question of how our universe was formed.
Given the potentially immense impact of new experimental observations of these statistical properties, it is imperative to improve our understanding of the uncertainties of the results: “with great power must also come – great responsibility”.
To facilitate a more sophisticated statistical analysis of the data, the author has programmed a comprehensive revision of the software package used in the so-called Oslo method. Furthermore, current limits on the applicability of the method are explored. A new viewpoint for the analysis is established that allows for a simultaneous exploration of different experiments and may in addition overcome these constraints. Finally, a proof-of-concept was performed on how experiments at the Oslo Cyclotron Laboratory can also be used to extract information on nuclear fission properties.
Contact information to Department: Line Trosterud Resvold