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| Titel |
Classification of probability densities on the basis of Pearson’s curves with application to coronal heating simulations |
| VerfasserIn |
O. Podladchikova, B. Lefebvre, V. Krasnoselskikh, V. Podladchikov |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 10, no. 4/5 ; Nr. 10, no. 4/5, S.323-333 |
| Datensatznummer |
250007833
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| Publikation (Nr.) |
 copernicus.org/npg-10-323-2003.pdf |
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| Zusammenfassung |
| An important task
for the problem of coronal heating is to produce reliable evaluation of
the statistical properties of energy release and eruptive events such as
micro-and nanoflares in the solar corona. Different types of distributions
for the peak flux, peak count rate measurements, pixel intensities, total
energy flux or emission measures increases or waiting times have appeared
in the literature. This raises the question of a precise evaluation and
classification of such distributions. For this purpose, we use the method
proposed by K. Pearson at the beginning of the last century, based on the
relationship between the first 4 moments of the distribution. Pearson's
technique encompasses and classifies a broad range of distributions,
including some of those which have appeared in the literature about
coronal heating. This technique is successfully applied to simulated data
from the model of Krasnoselskikh et al. (2002). It allows to provide
successful fits to the empirical distributions of the dissipated energy,
and to classify them as a function of model parameters such as dissipation
mechanisms and threshold. |
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