Fission mode identification in the 180Hg region: derivative analysis approach
D. T. Kattikat Melcom, I. Tsekhanovich, F. Guezet, A. Andreyev, K. Nishio

TL;DR
This paper introduces a derivative analysis method to identify fission modes in the 180Hg region, improving interpretation of experimental data with limited resolution and statistics.
Contribution
The paper presents a novel derivative analysis approach that reliably identifies fission modes from limited-resolution and low-statistics experimental data.
Findings
Method effectively distinguishes fission modes in simulated data.
Approach yields consistent results even with dominant symmetric fission.
Works well on real experimental data with limited events.
Abstract
Experimental setups commonly used to study fission properties of nuclei in the exotic neutron-deficient 180Hg region are based on the time-of-flight technique for the fission-product identification. The nuclei of interest are created via fusion reactions at excitation energies of several tens of MeV and identified with limited mass resolution. The deduced final fission-fragment mass distributions are in general structureless, which makes the identification of fission modes, along with their properties, ambiguous and author-dependent. The standard functional-analysis technique applied to the simulated limited-resolution fusion-fission data appears to provide consistent results on the number and parameters of fission modes, even in cases of strong symmetric-mode dominance, i.e. for Gaussian-like fission-fragment mass distribution shapes. The method is shown to work also on data sets with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNuclear physics research studies · Nuclear reactor physics and engineering · Astronomical and nuclear sciences
