Search for dissertations about: "statistical physics"
Showing result 21 - 25 of 255 swedish dissertations containing the words statistical physics.
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21. Structure Functions and Final-State Properties in Deeply Inelastic electron-proton Scattering
Abstract : In this thesis, we give a description of the detailed structure of the proton and a description of the final-state properties in electron-proton scattering. Qualitative results, in a purely gluonic scenario with the leading log approximation, and quantitative results, where quarks are included and some sub-leading corrections have been made, are presented. READ MORE
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22. Correlations in multiparticle production
Abstract : Different aspects of the strong interaction in particle collisions are studied. Most of the work is based on the Lund string fragmentation model for hadron production. A model which incorporates interference between identical bosons in the string model is presented. READ MORE
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23. Development of Detector Systems for Internal and Fixed Target Heavy Ion Physics Experiments
Abstract : This thesis deals with intermediate energy heavy ion reactions with the particular aim to study the nuclear matter equation of state which defines the relation between statistical parameters of a fermionic system. The development of equipment for two experiments, CA47 at The Svedberg Laboratory in Uppsala, Sweden and R16 at Kernfysisch Versneller Instituut (KVI), Groningen, The Netherlands, are described. READ MORE
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24. Hadron Physics in a Polarized World : Exploring Electromagnetic Interactions with Spin Observables
Abstract : The electromagnetic interactions of hadrons serve as a valuable probe of the nature of the strong force at low energies and simultaneously allow for tests of fundamental discrete symmetries. In this thesis, I show how polarization observables can be used to gain an in-depth understanding of these processes and present two analyses of data from the BESIII experiment where such observables have been studied. READ MORE
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25. Equilibrium and Dynamics on Complex Networkds
Abstract : Complex networks are an important class of models used to describe the behaviour of a very broad category of systems which appear in different fields of science ranging from physics, biology and statistics to computer science and other disciplines. This set of models includes spin systems on a graph, neural networks, decision networks, spreading disease, financial trade, social networks and all systems which can be represented as interacting agents on some sort of graph architecture. READ MORE