Sökning: "Johan carlo"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Johan carlo.

1. 1. Scenario Dose Calculation for Robust Optimization in Proton Therapy Treatment Planning

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Johan Sundström; [2021]
   Nyckelord :cancer; radiation therapy; proton therapy; treatment planning; robust optimization; dose calculation algorithms; scenarios; patient setup; range error; organ motion; pencil beam scanning; computational efficiency; range-corrected dose-mapping; Mathematics and Statistics;

   Sammanfattning : Robust optimization plays a vital role in proton therapy treatment planning. A monoenergetic beam of protons has a finite range and delivers most of its dose at some specific depth in the patient. This allows the design of treatments that mainly damage the tumor and not any surrounding tissue. LÄS MER

3. 2. Understanding Rt using two-particle correlations by simulating proton-proton collisions in a Monte-Carlo model

   Kandidat-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Författare :Johan Leygonie; [2021]
   Nyckelord :QGP; Quark-Gluon-Plasma; Rt; Particle Physics; Proton-proton Collisions; Pythia; Monte-Carlo Model; Bachelor s Thesis; Heavy-ion Collisions; ALICE; CERN; Relative Transverse Activity; Jets; Two-Particles Correlations; Quantum Physics; Physics and Astronomy;

   Sammanfattning : The observable Rt is investigated in the Monte Carlo Model Pythia in order to better understand results from experimental data obtained in the ALICE detector at CERN. The purpose is to reproduce the experiment in a simulation and use the features proposed by Pythia to dig into the unexpected outcomes. LÄS MER

4. 3. Best practice of extracting magnetocaloric properties in magnetic simulations

   Master-uppsats, Uppsala universitet/Materialteori

   Författare :Johan Bylin; [2019]
   Nyckelord :Magnetocaloric effect; Thermodynamics; Statistical mechanics; Monte Carlo simulations; Metropolis algorithm; Wang-Landau method; Isothermal change in entropy; Adiabatic change in temperature; Numerical methods; Effective spin models;

   Sammanfattning : In this thesis, a numerical study of simulating and computing the magnetocaloric properties of magnetic materials is presented. The main objective was to deduce the optimal procedure to obtain the isothermal change in entropy of magnetic systems, by evaluating two different formulas of entropy extraction, one relying on the magnetization of the material and the other on the magnet's heat capacity. LÄS MER

5. 4. Warehouse Vehicle Routing using Deep Reinforcement Learning

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Johan Oxenstierna; [2019]
   Nyckelord :;

   Sammanfattning : In this study a Deep Reinforcement Learning algorithm, MCTS-CNN, is applied on the Vehicle Routing Problem (VRP) in warehouses. Results in a simulated environment show that a Convolutional Neural Network (CNN) can be pre-trained on VRP transition state features and then effectively used post-training within Monte Carlo Tree Search (MCTS). LÄS MER

7. 5. Non-Linear Latent Variable Models: A Study of Factor Score Approaches

   Master-uppsats, Uppsala universitet/Statistiska institutionen

   Författare :Johan Vegelius; [2017]
   Nyckelord :Structural Equatio Model; Interaction Monte Carlo;

   Sammanfattning : Non-linear latent variable models are associated with problems which are difficult to handle in applied sciences. Four methods for estimating factor scores, with the purpose of estimating latent variable models with an interaction term, were investigated. LÄS MER