Avancerad sökning

Hittade 3 avhandlingar som matchar ovanstående sökkriterier.

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

    Detta är en avhandling från Stockholm : KTH Royal Institute of Technology

    Författare :Edvin Sidebo; KTH.; [2016]
    Nyckelord :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; Physics; Fysik;

    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

  2. 2. Imaging mass spectrometry for in situ lipidomics: from cell structures to cardiac tissue

    Detta är en avhandling från Gothenburg : Chalmers tekniska högskola

    Författare :Sanna Sämfors; [2018]
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Myocardial infarction; PC12 cells; Cell membrane; Mass spectrometry imaging; Sample preparation; Lipidomics; ToF-SIMS; Gas cluster ion beam;

    Sammanfattning : Imaging of cells and tissues is important for studying different processes within biological systems due to the spatial information provided for different molecular species during imaging. One powerful imaging technique is mass spectrometry imaging (MSI). LÄS MER

  3. 3. Brain networks in time : deriving and quantifying dynamic functional connectivity

    Detta är en avhandling från Stockholm : Karolinska Institutet, Dept of Clinical Neuroscience

    Författare :William Hedley Thompson; Karolinska Institutet.; Karolinska Institutet.; [2017]

    Sammanfattning : Studying the brain’s structure and function as a network has provided insight about the brain’s activity in health and disease. Networks in the brain are often averaged over trials, frequency and time and this is called functional connectivity. This thesis aims to extend the analyses beyond these assumptions and simplifiations. LÄS MER