<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Riva, Fabio Matteo</dc:creator>
  <dc:creator>Milanese, Lucio</dc:creator>
  <dc:creator>Ricci, Paolo</dc:creator>
  <dc:date>2017</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">To reduce the computational cost of the uncertainty propagation analysis, which is used to study the impact of input parameter variations on the results of a simulation, a general and simple to apply methodology based on decomposing the solution to the model equations in terms of Chebyshev polynomials is discussed. This methodology, based on the work by Scheffel [Am. J. Comput. Math. 2, 173–193 (2012)], approximates the model equation solution with a semi-analytic expression that depends explicitly on time, spatial coordinates, and input parameters. By employing a weighted residual method, a set of nonlinear algebraic equations for the coefficients appearing in the Chebyshev decomposition is then obtained. The methodology is applied to a two-dimensional Braginskii model used to simulate plasma turbulence in basic plasma physics experiments and in the scrape-off layer of tokamaks, in order to study the impact on the simulation results of the input parameter that describes the parallel losses. The uncertainty that characterizes the time-averaged density gradient lengths, time-averaged densities, and fluctuation density level are evaluated. A reasonable estimate of the uncertainty of these distributions can be obtained with a single reduced-cost simulation.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://susi.usi.ch/global/documents/337020</dc:identifier>
  <dc:identifier>https://n2t.net/ark:/12658/srd1337020</dc:identifier>
  <dc:identifier>https://susi.usi.ch/documents/337020/files/Uncertanty propagation - submitted.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/issn/1070-664X, 1089-7674</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1063/1.4996445</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/ark/12658/srd1337020</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Physics of Plasmas. - 2017, vol. 24, no. 10, p. 102302</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Finite difference methods</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Operator theory</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Spectral methods</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Sols</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Plasma dynamics</dc:subject>
  <dc:subject xmlns:ns6="xml" ns6:lang="en">Plasma physics</dc:subject>
  <dc:subject xmlns:ns7="xml" ns7:lang="en">Plasma properties and parameters</dc:subject>
  <dc:subject xmlns:ns8="xml" ns8:lang="en">Plasma transport properties</dc:subject>
  <dc:subject xmlns:ns9="xml" ns9:lang="en">Plasma turbulence</dc:subject>
  <dc:subject xmlns:ns10="xml" ns10:lang="en">Tokamaks</dc:subject>
  <dc:subject>info:eu-repo/classification/udc/53</dc:subject>
  <dc:title xmlns:ns11="xml" ns11:lang="en">Uncertainty propagation by using spectral methods : a practical application to a two-dimensional turbulence fluid model</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
