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Experiments for p-process nucleosynthesis with special focus on the most abundant p nucleus 92Mo
(2014)
This thesis describes experimental investigations and astrophysical network calculations relevant for the nucleosynthesis of the p nuclei. These 35 proton-rich isotopes cannot be produced by neutron-capture reactions which is the general production mechanism for elements heavier than iron in the r and s processes. Therefore, other mechanisms like photo-disintegration reactions on heavy seed nuclei (γ process) or proton-capture reactions are taken into account.
The modelling of these processes relies on a hugh amount of reactions which mostly occur for unstable isotopes. This demands, in combination with the contribution of excited states to the stellar rate, the prediction of the rates by a suited theoretical approach: the Hauser-Feshbach statistical model. To improve the reliability of the predictions, systematic experimental investigations are performed within this work for the nuclear input to the calculations. The study of charged-particle optical model potentials using the activation approach for the investigation of (α,n) and (p,n) reactions is described as well as the investigation of (γ,n) reactions in a broad mass range of 140 ≤ A ≤ 210.
However, there are also key reactions which are of special interest for the nucleosynthesis of individual p nuclei. An impressive example is the puzzle about the production of the most abundant p nucleus 92Mo. Within this work, the results of an experiment using high-resolution in-beam γ-spectroscopy for the study of the 90Zr(p,γ) reaction are summarized. In addition, the efforts to investigate the 91Nb(p,γ) reaction in standard kinematics by the production of target of the unstable isotope 91Nb to be used with the high-intensity proton-beam provided by the accelerator of FRANZ, Frankfurt, are discussed.
Finally, the influence of experimental results in astrophysical network calculations is discussed using post-processing nucleosynthesis methods for the γ process in type II supernovae.
In order to address security and privacy problems in practice, it is very important to have a solid elicitation of requirements, before trying to address the problem. In this thesis, specific challenges of the areas of social engineering, security management and privacy enhancing technologies are analyzed:
Social Engineering: An overview of existing tools usable for social engineering is provided and defenses against social engineering are analyzed. Serious games are proposed as a more pleasant way to raise employees’ awareness and to train them.
Security Management: Specific requirements for small and medium sized energy providers are analyzed and a set of tools to support them in assessing security risks and improving their security is proposed. Larger enterprises are supported by a method to collect security key performance indicators for different subsidiaries and with a risk assessment method for apps on mobile devices. Furthermore, a method to select a secure cloud provider – the currently most popular form of outsourcing – is provided.
Privacy Enhancing Technologies: Relevant factors for the users’ adoption of privacy enhancing technologies are identified and economic incentives and hindrances for companies are discussed. Privacy by design is applied to integrate privacy into the use cases e-commerce and internet of things.
The thesis is about random Constraint Satisfaction Problems (rCSP). These are random instances of classical problems in NP. In the literature the study of rCSP involve identifying-locating phase transition phenomena as well as investigating algorithmic questions.
Recently, some ingenious however mathematically non-rigorous theories from statistical physics have given the study of rCSP a new perspective; the so-called Cavity Method makes some very impressing predictions about the most fundamental properties of rCSP.
In this thesis, we investigate the soundness of some of the most basic predictions of the Cavity Method, mainly, regarding the structure of the so-called Gibbs distribution on various rCSP models. Furthermore, we study some fundamental algorithmic problem related to rCSP. This includes both analysing well-known dynamical process (dynamics) like Glauber Dynamics, Metropolis Process, as well as proposing new algorithmic approaches to some natural problems related to rCSP.
CMOS Monolithic Active Pixel Sensors for charged particle tracking (CPS) form are ultra-light and highly granular silicon pixel detectors suited for highly sensitive charged particle tracking. Unlike to most other silicon radiation detectors, they rely on standard CMOS technology. This cost efficient approach allows for building particularly small and thin pixels but also introduced, until recently, substantially constraints on the design of the sensors. The most important among them is the missing compatibility with the use of PMOS transistors and depleted charge collection diodes in the pixel. Traditional CPS were thus first of all suited for vertex detectors of relativistic heavy ion and particle physics experiments, which require highest tracking accuracy in combination with moderate time resolution and radiation tolerance.
This work reviews the R&D on understanding and improving the radiation tolerance of traditional CPS with non- and partially depleted active medium as pioneered by the MIMOSA-series developed by the IPHC Strasbourg. It introduces the specific measurement methods used to assess the radiation tolerance of those non-standard pixels. Moreover, it discusses the major mechanisms of radiation damage and procedures for radiation hardening, which allowed to extend the radiation tolerance of the devices by more than an order of magnitude.