Sökning: "Monte Carlo modelling"
Visar resultat 16 - 20 av 67 uppsatser innehållade orden Monte Carlo modelling.
16. Search for Higgs-like bosons through optimization of top-quark modelling
Magister-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenSammanfattning : Accurate estimations of background processes associated with top-quarks are vital to studies concerned with finding new physics at the Large Hadron Collider (LHC)at CERN. Search for Higgs-like bosons in the ATLAS experiment at LHC was performed by optimising the use of b-jet tagging algorithms and improving on tt backgroundmodelling. LÄS MER
17. Assessment of Modern Statistical Modelling Methods for the Association of High-Energy Neutrinos to Astrophysical Sources
Master-uppsats, KTH/Matematisk statistikSammanfattning : The search for the sources of astrophysical neutrinos is a central open question in particle astrophysics. Thanks to substantial experimental efforts, we now have large-scale neutrino detectors in the oceans and polar ice. LÄS MER
18. Analys av osäkerheter vid hydraulisk modellering av torrfåror
Master-uppsats, Uppsala universitet/Institutionen för geovetenskaperSammanfattning : Hydraulisk modellering är ett viktigt verktyg vid utvärdering av lämpliga åtgärder för torrfåror. Modelleringen påverkas dock alltid av osäkerheter och om dessa är stora kan en modells simuleringsresultat bli opålitligt. Det kan därför vara viktigt att presentera dess simuleringsresultat tillsammans med osäkerheter. LÄS MER
19. AI Trained to Predict Thresholds of 2D Ellipse Percolation Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Percolation theory is a relevant area of research in Nanotechnology because of its wide applications in nanoelectronics based on thin films of nanoparticles and composites, amongst others. In nanotechnology, systems are often explored through modelling and simulations. LÄS MER
20. Accuracy of Risk Measures For Black Swan Events
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This project aims to analyze the risk measures Value-at-Risk and Conditional-Value-at-Risk for three stock portfolios with the purpose of evaluating each method's accuracy in modelling Black Swan events. This is achieved by utilizing a parametric approach in the form of a modified (C)VaR with a Cornish-Fisher expansion, a historic approach with a time series spanning ten years and a Markov Monte Carlo simulation modeled with a Brownian motion. LÄS MER