Sökning: "Many Body Physics"
Visar resultat 21 - 25 av 66 uppsatser innehållade orden Many Body Physics.
21. Have Radial Velocity Surveys Missed Any Planets?
Kandidat-uppsats, Lunds universitet/Astronomi - Genomgår omorganisation; Lunds universitet/Fysiska institutionenSammanfattning : The project was aimed at numerically assessing exoplanetary systems to distinguish their capabilities of hosting additional planets. The shortcomings of the radial velocity method sometimes causes hindrance in the detection of terrestrial planets. LÄS MER
22. X-ray Photoelectron Spectroscopy on Clusters: From Water Clusters to Metal & Metal-Oxide Nanoparticles
Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenSammanfattning : In the present work, two experimental setups aimed at the production of (1) water clusters and (2) metal-oxide nanoparticles were assembled and commissioned. The experiments on the cluster/nanoparticle beams were set up and performed at the FlexPES beamline of the MAX-IV synchrotron facility. LÄS MER
23. The Effect of Gravitational Encounters on Binary Planetesimals
Master-uppsats, Lunds universitet/Astronomi - Genomgår omorganisationSammanfattning : Binary planetesimals in the Kuiper belt can experience close encounters with other bodies. These encounters can disturb the orbital dynamics of the binary in several ways. Energy can be added to the system by the impactor body and lead to the disruption of the binary. LÄS MER
24. Capture into mean motion resonance
Master-uppsats, Lunds universitet/Astronomi - Genomgår omorganisationSammanfattning : Orbital or mean motion resonance (MMR) occurs when the orbital period ratio between two planets is close to a ratio of small integers. MMR can protect planets from collisions and affects the overall final architecture of the system. LÄS MER
25. Machine-Learning for Lattice Models in and out of Equilibrium
Master-uppsats, Lunds universitet/Matematisk fysik; Lunds universitet/Fysiska institutionenSammanfattning : Machine-learning methods have in recent years seen a great deal of use in condensed matter physics. In this thesis we apply such methods, specifically machine-learning with artificial neural networks, to the equilibrium and non-equilibrium description of the Hubbard and Hubbard-Holstein models. LÄS MER