Vis enkel innførsel

dc.contributor.advisorGarcia, Odd Erik
dc.contributor.authorLosada, Juan Manuel
dc.date.accessioned2024-11-12T12:20:38Z
dc.date.available2024-11-12T12:20:38Z
dc.date.issued2024-11-29
dc.description.abstractThis thesis presents a comprehensive analysis of a stochastic model for transport due to the motion of uncorrelated localized structures. The motivation for this model is found in the scrape-off layer (SOL) of magnetically confined plasmas, but its applicability extends to other turbulent or chaotic systems. This model provides a statistical framework to explore the implications of different transport mechanisms that dominate the SOL and predictions for the radial profiles of the lowest-order statistical moments. Additionally, the model can be used to develop improved methodologies for data analysis, particularly for velocity estimation of plasma fluctuations from imaging data. The model considers pulses with randomly distributed amplitudes, sizes, and velocities, moving radially with fixed shape and exponentially decaying amplitudes due to linear damping. Such a framework is pivotal in understanding the statistical properties and dynamics of blob-like structures in plasma, which significantly influence plasmen_US
dc.description.doctoraltypeph.d.en_US
dc.description.popularabstractFusion energy is being developed as a clean and virtually limitless energy source. This thesis explores how turbulent movements at the plasma boundary in fusion reactors affect particle and heat transport. In these reactors, plasma is confined using strong magnetic fields, but turbulence at the boundaries causes particles and heat to escape, impacting the reactor's performance and damaging the machine. We developed mathematical models to better understand these turbulent processes by analyzing the behaviour of localized plasma structures, called “blobs”. These models help us to better interpret experimental observations and to compare them with numerical simulations. Additionally, we employed the model to develop new data analysis tools to estimate the blob velocities. These findings will help improve the design of future fusion reactors, bringing us closer to achieving sustainable fusion energy.en_US
dc.identifier.isbn978-82-8236-601-4 (electronic/pdf version).
dc.identifier.isbn978-82-8236-600-7 (printed version)
dc.identifier.urihttps://hdl.handle.net/10037/35670
dc.language.isoengen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.relation.haspart<p>Paper I: Losada, J.M., Theodorsen, A., Garcia, O.E. (2023). Stochastic modeling of blob-like plasma filaments in the scrape-off layer: Theoretical foundation. <i>Physics of Plasmas, 30</i>(4), 042518. Also available in Munin at <a href=https://hdl.handle.net/10037/29951>https://hdl.handle.net/10037/29951</a>. <p>Paper II: Losada, J.M., Paikina, O. & Garcia, O.A. (2024). Stochastic modeling of blob-like plasma filaments in the scrape-off layer: Correlated amplitudes and velocities. <i>Physics of Plasmas, 31</i>(4), 042514. Also available in Munin at <a href=https://hdl.handle.net/10037/34996>https://hdl.handle.net/10037/34996</a>. <p>Paper III: Losada, J.M., Helgeland, A.D., Terry, J.L. & Garcia, O.E. (2024). A three-point velocity estimation method for two-dimensional coarse-grained imaging data. <i>AIP Advances, 14</i>(9), 095102. Also available in Munin at <a href=https://hdl.handle.net/10037/35569>https://hdl.handle.net/10037/35569</a>. <p>Paper IV: Losada, J.M. & Garcia, O.E. Time delay estimation of coherent structure velocities from a super-position of pulses. (Manuscript).en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2024 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subjectFusionen_US
dc.subjectPlasmaen_US
dc.subjectStatisticsen_US
dc.subjectModelen_US
dc.subjectTheoreticalen_US
dc.titleIntermittent fluctuations at the boundary of magnetically confined plasmasen_US
dc.typeDoctoral thesisen_US
dc.typeDoktorgradsavhandlingen_US


Tilhørende fil(er)

Thumbnail
Thumbnail

Denne innførselen finnes i følgende samling(er)

Vis enkel innførsel

Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)