Optimization and Analysis of Recoil-γ(γ) Data Near 56Ni
(2025) FYSK04 20251Department of Physics
Particle and nuclear physics
- Abstract
- An experimental campaign took place at the Argonne National Laboratory (ANL) in the summer of 2020. Its goal was to study the exotic modes of decay of neutron-deficient nuclei located near 56Ni. For this thesis, the part of interest from the campaign is the experiment studying the fusion-evaporation reaction resulting from the collision of high-energy nuclei of 36Ar and a 24Mg target, creating excited 60Zn* nuclei. This paper focuses on optimizing the data analysis for the Fragment Mass Analyser (FMA) data for this experiment, as well as its analysis. To that end, γ-γ, γ-recoil, and time of flight techniques are used. Several restrictions are placed upon the data from different parts of the detector system, including the Ionisation Chamber... (More)
- An experimental campaign took place at the Argonne National Laboratory (ANL) in the summer of 2020. Its goal was to study the exotic modes of decay of neutron-deficient nuclei located near 56Ni. For this thesis, the part of interest from the campaign is the experiment studying the fusion-evaporation reaction resulting from the collision of high-energy nuclei of 36Ar and a 24Mg target, creating excited 60Zn* nuclei. This paper focuses on optimizing the data analysis for the Fragment Mass Analyser (FMA) data for this experiment, as well as its analysis. To that end, γ-γ, γ-recoil, and time of flight techniques are used. Several restrictions are placed upon the data from different parts of the detector system, including the Ionisation Chamber (IC) and Time of Flight (TOF) data. This is done in order to achieve mass separation. The analysis results show appropriate mass assignment for the recoils, with nuclei of mass A=57 being the most common. Contamination of mass A=58 with mass A=54 nuclei was discovered to be of small statistical significance, and further separation of the two masses was deemed unnecessary for the scope of this project. (Less)
- Popular Abstract
- Experiments are a way to explore how nature works. In nuclear physics, the most common approach is to launch subatomic particles known as nuclei at a target and study what is created in the resulting collision. In order to extract meaningful information from the experiments, it is necessary to identify the products of the collisions with the use of detectors. This sort of exploration is paramount for the betterment of our understanding of nuclear structure, which in turn helps us to understand how the universe works.
In the summer of 2020 an experimental campaign took place at the Argonne National Laboratory. During the campaign, a beam of Argon-36 was aimed at a target of Magnesium-24, which resulted in the creation of Zinc-60 nuclei.... (More) - Experiments are a way to explore how nature works. In nuclear physics, the most common approach is to launch subatomic particles known as nuclei at a target and study what is created in the resulting collision. In order to extract meaningful information from the experiments, it is necessary to identify the products of the collisions with the use of detectors. This sort of exploration is paramount for the betterment of our understanding of nuclear structure, which in turn helps us to understand how the universe works.
In the summer of 2020 an experimental campaign took place at the Argonne National Laboratory. During the campaign, a beam of Argon-36 was aimed at a target of Magnesium-24, which resulted in the creation of Zinc-60 nuclei. These would then emit other particles and γ rays. The aim of this thesis is the identification of the collision products achieved in the experiment. This was done by using data from the so-called Fragment Mass Analyser, which helps to determine the mass of the particles, as well as from an array of detectors called the GAMMASPHERE, used for γ-ray detection.
The data was processed using specialised codes and scripts in order to separate the particles based on their mass. The methods developed over the course of this work resulted in the desired mass separation and particle identification, which allowed for the extraction of additional results. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9205592
- author
- Jakubiak, Sebastian LU
- supervisor
-
- Yuliia Hrabar LU
- Dirk Rudolph LU
- organization
- course
- FYSK04 20251
- year
- 2025
- type
- M2 - Bachelor Degree
- subject
- keywords
- mass identification, mass separation, fragment mass analyser, nuclear physics
- language
- English
- id
- 9205592
- date added to LUP
- 2025-07-01 07:54:22
- date last changed
- 2025-07-01 07:54:22
@misc{9205592,
abstract = {{An experimental campaign took place at the Argonne National Laboratory (ANL) in the summer of 2020. Its goal was to study the exotic modes of decay of neutron-deficient nuclei located near 56Ni. For this thesis, the part of interest from the campaign is the experiment studying the fusion-evaporation reaction resulting from the collision of high-energy nuclei of 36Ar and a 24Mg target, creating excited 60Zn* nuclei. This paper focuses on optimizing the data analysis for the Fragment Mass Analyser (FMA) data for this experiment, as well as its analysis. To that end, γ-γ, γ-recoil, and time of flight techniques are used. Several restrictions are placed upon the data from different parts of the detector system, including the Ionisation Chamber (IC) and Time of Flight (TOF) data. This is done in order to achieve mass separation. The analysis results show appropriate mass assignment for the recoils, with nuclei of mass A=57 being the most common. Contamination of mass A=58 with mass A=54 nuclei was discovered to be of small statistical significance, and further separation of the two masses was deemed unnecessary for the scope of this project.}},
author = {{Jakubiak, Sebastian}},
language = {{eng}},
note = {{Student Paper}},
title = {{Optimization and Analysis of Recoil-γ(γ) Data Near 56Ni}},
year = {{2025}},
}