Sökning: "momentum distributions"
Visar resultat 6 - 10 av 43 avhandlingar innehållade orden momentum distributions.
6. Search for new Phenomena in Dijet Angular Distributions at √s = 8 and 13 TeV
Sammanfattning : A new energy regime has recently become accessible in collisions at the Large Hadron Collider at CERN. Abundant in hadron collisions, the two-jet final state explores the structure of the constituents of matter and the possible emergence of new forces of nature, in the largest momentum transfer collisions produced. LÄS MER
7. Study of Halo Nuclei Breakup on Light Targets at Intermediate and High Energies
Sammanfattning : The study of exotic nuclei is one of the most important topics in modern nuclear physics. It allows general understanding of the structure and nature of light nuclear systems in the vicinity of the driplines. LÄS MER
8. Exploring the Exotic Experimental Investigations far from Stability
Sammanfattning : The exploration of exotic nuclei is one of the most intriguing and fastest expanding fields in modern nuclear physics. In the extreme conditions of unsymmetric neutron-proton distributions and small binding energies many nuclear phenomena not encountered closer to stability have revealed themselves, often as a surprise to the nuclear physics community, the prime example being the development of halo structures as the binding energy diminishes. LÄS MER
9. Phenomenology of new Neutral Vector Bosons and Parton Distributions from Hadronic Fluctuations
Sammanfattning : The Higgs particle was first predicted in 1964, and was discovered in the summer of 2012 at the Large Hadron Collider (LHC). This discovery was the latest in a long list of successful Standard Model predictions spanning the last fifty years. LÄS MER
10. Charged particle distributions and robustness of the neural network pixel clustering in ATLAS
Sammanfattning : This thesis contains a study of the robustness of the artificial neural network used in the ATLAS track reconstruction algorithm as a tool to recover tracks in dense environments. Different variations, motivated by potential discrepancies between data and simulation, are performed to the neural network’s input while monitoring the corresponding change in the output. LÄS MER