Matches in UGent Biblio for { <https://biblio.ugent.be/publication/979581#aggregation> ?p ?o. }
Showing items 1 to 34 of
34
with 100 items per page.
- aggregation classification "P1".
- aggregation creator B105382.
- aggregation creator B105383.
- aggregation creator B105384.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2006".
- aggregation hasFormat 979581.bibtex.
- aggregation hasFormat 979581.csv.
- aggregation hasFormat 979581.dc.
- aggregation hasFormat 979581.didl.
- aggregation hasFormat 979581.doc.
- aggregation hasFormat 979581.json.
- aggregation hasFormat 979581.mets.
- aggregation hasFormat 979581.mods.
- aggregation hasFormat 979581.rdf.
- aggregation hasFormat 979581.ris.
- aggregation hasFormat 979581.txt.
- aggregation hasFormat 979581.xls.
- aggregation hasFormat 979581.yaml.
- aggregation isPartOf urn:isbn:9780735403710.
- aggregation isPartOf urn:issn:0094-243X.
- aggregation language "eng".
- aggregation publisher "American Institute of Physics".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Integrated Bayesian estimation of Z(eff) in the TEXTOR tokamak from bremsstrahlung and CX impurity density measurements".
- aggregation abstract "The validation of diagnostic data from a nuclear fusion experiment is an important issue. The concept of an Integrated Data Analysis (IDA) allows the consistent estimation of plasma parameters from heterogeneous data sets. Here, the determination of the ion effective charge (Z(eff)) is considered. Several diagnostic methods exist for the determination of Z(eff), but the results are in general not in agreement. In this works the problem of Z(eff) estimation on the TEXTOR tokamak is approached from the perspective of IDA, in the framework of Bayesian probability theory. The ultimate goal is the estimation of a full Z(eff) profile that is consistent both with measured bremsstrahlung emissivities, as well as individual impurity spectral line intensities obtained from Charge Exchange Recombination Spectroscopy (CXRS). We present an overview of the various uncertainties that enter the calculation of a Z(eff) profile from bremsstrahlung data on the one hand, and line intensity data on the other hand. We discuss a simple linear and nonlinear Bayesian model permitting the estimation of a central value for Z(eff) and the electron density n(e) on TEXTOR from bremsstrahlung emissivity measurements in the visible, and carbon densities derived from CXRS. Both the central Z(eff) and n(e) are sampled using an MCMC algorithm. An outlook is given towards possible model improvements.".
- aggregation authorList BK269821.
- aggregation endPage "548".
- aggregation startPage "541".
- aggregation volume "872".
- aggregation isDescribedBy 979581.
- aggregation similarTo 1.2423317.
- aggregation similarTo LU-979581.