Search for dissertations about: "NEURAL NETWORK for physics"

Showing result 1 - 5 of 34 swedish dissertations containing the words NEURAL NETWORK for physics.

  2. 1. Charged particle distributions and robustness of the neural network pixel clustering in ATLAS

    Author : Edvin Sidebo; Jonas Strandberg; Bengt Lund-Jensen; David Silvermyr; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; p p: scattering; ATLAS; LHC; charged particle: multiplicity; semiconductor detector: pixel; neural network: performance; track data analysis: cluster; charged particle: cluster; splitting; CERN LHC Coll; Fysik; Physics;

    Abstract : 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. READ MORE

  4. 2. Collective Structure of Neutron-Rich Rare-Earth Nuclei and Development of Instrumentation for Gamma-Ray Spectroscopy

    Author : Pär-Anders Söderström; Johan Nyberg; Ayşe Ataç; John Simpson; Uppsala universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; nuclear structure; collective models; 150 < A < 189; AGATA; HPGe detectors; gamma-ray tracking; NEDA; pulse-shape discrimination; neutrons; neural network; Nuclear physics; Kärnfysik; Physics with specialization in Nuclear Physics; Fysik med inriktning mot kärnfysik;

    Abstract : Neutron-rich rare-earth nuclei are among the most collective nuclei that can be found in nature. In particular, the doubly mid-shell nucleus 170Dy is expected to be the nucleus where the collective structure is maximized. READ MORE

  5. 3. Developments toward a novel methodology for spent nuclear fuel verification

    Author : Moad al-Dbissi; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; nuclear safeguards; partial defect; neutron scintillator; flux gradient detector; machine learning; spent nuclear fuel; artificial neural networks;

    Abstract : One of the tasks in nuclear safeguards is to regularly inspect spent nuclear fuel discharged from nuclear power reactors and verify the integrity of it, so that illegal removal and diversion of radioactive material can be promptly discovered. In the current project, which is a collaboration between Chalmers University of Technology and SCK CEN, a novel methodology for non-intrusive inspection of spent nuclear fuel is under development. READ MORE

  6. 4. Input Calibration, Code Validation and Surrogate Model Development for Analysis of Two-phase Circulation Instability and Core Relocation Phenomena

    Author : Viet-Anh Phung; Pavel Kudinov; Cristophe Demaziere; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Reactor system code; input calibration; code validation; surrogate model; two-phase circulation flow instability; in-vessel core relocation; genetic algorithm; artificial neural network; Reaktorsystemkod; indata kalibrering; kodvalidering; surrogatmodell; två-fas cirkulationsflöde; instabilitet; härdrelokering i reaktortanken; genetisk algoritm; artificiella neurala nätverk; Fysik; Physics;

    Abstract : Code validation and uncertainty quantification are important tasks in nuclear reactor safety analysis. Code users have to deal with large number of uncertain parameters, complex multi-physics, multi-dimensional and multi-scale phenomena. READ MORE

  7. 5. Multiscale modeling of atomic transport phenomena in ferritic steels

    Author : Luca Messina; Pär Olsson; Nils Sandberg; Pål Efsing; Pascal Bellon; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; diffusion; impurities; iron; metals; kinetic Monte Carlo; ab initio; mean field; defects; embrittlement; reactor pressure vessel; neural networks; Fysik; Physics;

    Abstract : Defect-driven transport of impurities plays a key role in the microstructure evolution of alloys, and has a great impact on the mechanical properties at the macroscopic scale. This phenomenon is greatly enhanced in irradiated materials because of the large amount of radiation-induced crystal defects (vacancies and interstitials). READ MORE