• Raman-spectroscopy and of optically trapped nanoparticles 

      Mikheev, Ivan (Mastergradsoppgave; Master thesis, 2022-11-06)
      The present work begins a large layer of experiments on the study of Raman radiation from extracellular vesicles. It is a promising method that provides unique information about the global biomolecular composition of a single vesicle or a small number of vesicles. Two physical phenomena are present in this work, Raman scattering and optical trapping. In Raman scattering, the scattered radiation ...
    • Reduced models for geophysical fluid dynamics 

      Sortland, Daniel Selnes (Master thesis; Mastergradsoppgave, 2013-07-16)
      This thesis present a self-consistent derivation of reduced fluid models for geophysical dynamics confined to the midlatitude region. The reduced model will be derived by use of a regular perturbation method, that gives the same result as the classical models, such as the barotropic and baroclinic quasi-gestrophic potential vorticity model. It will be shown that such a rigorous treatment self-consistently ...
    • Sensitivity to pressure and methane of a cryptophane-A doped polymer 

      Ingvaldsen, Martin (Master thesis; Mastergradsoppgave, 2015-12-15)
      The principle focus of this thesis is the characterization of an on-chip methane sensor based on a waveguide interferometer. It incorporates cryptophane-A molecules in the waveguide cladding to enhance sensitivity and selectivity towards methane. First, the sensor was characterized for sensitivities to ambient conditions, in particular its temperature and pressure sensitivity. The measurement ...
    • Simulating and characterizing carbon based solar thermal absorbers 

      Jain, Amitap (Master thesis; Mastergradsoppgave, 2014-05-16)
      The main objective of this project is to determine and characterize the optical and structural properties of carbon nanotube (CNT) coated aluminum substrates to facilitate better understanding regarding their suitability for solar absorption. In this way, it may be possible to utilize this material to produce improved and more efficient spectrally selective solar thermal absorbers in solar thermal ...
    • Simulations of plasma filament dynamics in toroidal geometry 

      Rønningen, Petter (Master thesis; Mastergradsoppgave, 2010-05-18)
      Interchange driven propagation of so-called "blobs" arises in basic laboratory plasmas, in the scrape-off layer of fusion plasmas and as Equatorial Spread-F (ESF) phenomena. The propagation of such blobs has been demonstrated in the VTF experiment at MIT and in earlier simulations. Experimental results show that the velocity of these blobs is inverse proportional to the neutral gas pressure. These ...
    • Spectral analysis of radar coherent echoes and its relation to turbulence 

      Pokhrel, Marshal (Master thesis; Mastergradsoppgave, 2012-11)
      The measurements of polar mesosphere summer echoes has been performed since a long time by the ground based techniques with EISCAT VHF and UHF radar system and recently with MORRO. Based on these observation, my thesis is focussed on the data obtained from manda program to get data from EISCAT 3D demonstrator antenna array in Kiruna that receives from EISCAT VHF transmitter here from Tromso in the ...
    • Spectral measurement improvement through optical tree delineation 

      Toennis, Jonas (Master thesis; Mastergradsoppgave, 2017-11-15)
      Optical tree delineation algorithms have previously been used for satellite data. In this thesis, they are adapted for use from an Unmanned Aerial Vehicle (UAV). An evaluation of three algorithms (Valley Following, Region Growing and Marker Controlled Watershed) as well as different pre-filtering was done to find the best algorithm and filter combination for a species independent delineation. The ...
    • Statistical analysis of fluctuations in the Alcator C-Mod scrape-off layer 

      Fritzner, Sindre Markus (Master thesis; Mastergradsoppgave, 2013-06-30)
      Experimental data from Alcator C-Mod have been used to analyze large density events occurring at the edge of fusion reactors. The data acquisition methods used are gas puff imaging and Langmuir probes. The data consist of long time series sampled at high frequency, excellent for statistical analysis. Large density events have been analyzed where blobs are found to be consistent with high skewness ...
    • Statistical modelling of polarimetric SAR data 

      Doulgeris, Anthony Paul (Master thesis; Mastergradsoppgave, 2006-06-02)
      A statistical modelling technique is developed to analyse polarimetric synthetic aperture radar (PolSAR) images. Polarimetric SAR data consists of four complex scattering coefficients at each image location, requiring multivariate modelling techniques, and this work focuses on a simple class of multivariate distributions, the scale mixture of Gaussians. Three parametric model families of that ...
    • Stochastic Modelling and Numerical Simulations of Radial Filament Motion and Average Profiles at the Boundary of Fusion Plasmas 

      Paikina, Olga (Master thesis; Mastergradsoppgave, 2022-05-15)
      <p>The boundary region of magnetically confined plasmas is well known to have inherently fluctuating parameters. Advances in experimental measurements and numerical computations have revealed that the fluctuation-driven transport of particles and heat across the magnetic field lines is mainly dominated by the radial motion of blob-like filament structures. These structures, which are localized in ...
    • Stochastic modelling of intermittent scrape-off layer plasma fluctuations 

      Theodorsen, Audun (Master thesis; Mastergradsoppgave, 2015-05-15)
      In the tokamak scrape-off layer, radial motion of blob-like structures is the dominant mechanism for transport of particles and heat. Fixed point probe measurements in the Tokamak à Configuration Variable scrape-off layer reveal highly intermittent fluctuations in the ion saturation current. These measurements are well described by a shot noise process with exponential pulse shapes, exponentially ...
    • Studies of plasma potential with emissive probes in the low temperature plasma experiment NJORD 

      Schregel, Christian-Georg (Master thesis; Mastergradsoppgave, 2012-11-02)
      In this thesis, the concept of an emissive probe has been used to obtain the plasma potential in the low temperature plasma experiment NJORD. An emissive probe is a probe concept in which a wire is heated strong enough to emit a Richardson current. The probe is then swept through several voltage biases and thus, an I-V trace obtained. With the current from the emission and the collected current, ...
    • Super-Resolution Imaging of Sub-Mitochondrial Structures using Structured Illumination Microscopy 

      Opstad, Ida Sundvor (Master thesis; Mastergradsoppgave, 2016-05-15)
      Modern science is based on observation, and its advances are limited by what is possible to observe. For centuries optical microscopy was limited by the diffraction of light, making structures closer together than half the wavelength of light unresolvable. In recent years, the new field of optical nanoscopy has emerged, enabling diffraction-limited structures to be resolved. As opposed to ...
    • Suppression of fingering instabilities in superconductors by magnetic braking 

      Lator, Elijah (Master thesis; Mastergradsoppgave, 2012-11)
      Superconductors are materials that can transport electric current without resistance and loss of energy at low temperature. This thesis is a theoretical investigation problem about the thermomagnetic instability in superconductor and its suppression by deposing a metallic layer.
    • System upgrade and data evaluation of the AIRIS riometer 

      Larsen, Ida Marie (Master thesis; Mastergradsoppgave, 2016-06-06)
      The focus of this thesis has been to investigate how to improve the AIRIS data. This has been done by first of all giving the riometer system an overhaul, checking the wiring and receivers as well as upgrading the riometer computer harddisk. As there has been a lot of issues occurring along the way, the focus finally went to pinpointing exactly what is causing the data quality to be poor and coming ...
    • Temperature and thermal emission of cosmic dust around the Sun, Vega and Fomalhaut 

      Myrvang, Margaretha (Master thesis; Mastergradsoppgave, 2018-05-14)
      Many stars are known to have dust disks, which are created through collisions between planetesimals, comparable to comets and asteroids in our solar system. Cosmic dust around a star absorbs electromagnetic radiation and re-radiates at a longer wavelength, determined by its temperature. The thermal emission of the dust can be observed. In certain systems, including the solar system, some of the dust ...
    • Temperature sensitivity of waveguide Mach-Zehnder interferometer 

      Sokolov, Viktor (Master thesis; Mastergradsoppgave, 2013-05-31)
      This thesis is part of a project that aims to develop a sensor for the detection of methane in the air and in water based on a waveguide Mach-Zehnder interferometer. The main application of this sensor is monitoring the environment and the ability to detect a leakage of methane. The development of a sensor includes analysis of operational conditions. In this project one of the greatest concerns is ...
    • Thermal analysis of PTC heaters. Thermography of PTC and Peltier heaters. Labview® based control and Matlab® Simulink simulations of PTC heaters. 

      Taimur, Madiha (Master thesis; Mastergradsoppgave, 2018-06-15)
      A large variety of heating devices are being used in the industry. Two widely used smart heating devices are discussed in this study. These heating devices are Peltier/thermoelectric (TE) and Positive Temperature Coefficient (PTC) resistive heater. This study provides detailed experimentation of PTC heater and Peltier device at room conditions and cold environment. The thermal response of both ...
    • Time Series Forecasting with Recurrent Neural Networks in Presence of Missing Data 

      Choi, Changkyu (Master thesis; Mastergradsoppgave, 2018-11-24)
      In many applications, time series forecasting plays an irreplaceable role in time-varying systems such as energy markets, financial markets, and so on. Predicting the dynamic of time-varying systems is essential but is a difficult task because it depends on not only the nature of the system but also on external influences, such as environmental conditions and social and economic status. Recurrent ...
    • Towards Unsupervised Domain Adaptation for Diabetic Retinopathy Detection in the Tromsø Eye Study 

      Størdal, Magnus (Mastergradsoppgave; Master thesis, 2021-05-29)
      Diabetic retinopathy (DR) is an eye disease which affects a third of the diabetic population. It is a preventable disease, but requires early detection for efficient treatment. While there has been increasing interest in applying deep learning techniques for DR detection in order to aid practitioners make more accurate diagnosis, these efforts are mainly focused on datasets that have been collected ...