Using Advanced Statistical Methods for Determining Coronal Heating Parameters

Details Using Advanced Statistical Methods for Determining Coronal Heating Parameters Using Advanced Statistical Methods for Determining Coronal Heating Parameters

Sep 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008espm...12.3.38a&link_type=abstract

"12th European Solar Physics Meeting, Freiburg, Germany, held September, 8-12, 2008. Online at http://espm.kis.uni-freiburg.de/,

Physics

Scientific paper

The Sun's outermost atmosphere (corona) is "filled'' with magnetic strands but determining their precise nature has been evasive. However, recent data is revealing a new way of understanding the energy flow in this system by plotting how the electron density/temperature change through the atmosphere along specific magnetic features. Thus, one way of possibly revealing the nature of the coronal heating mechanism is by comparing simple theoretical models with spectroscopic diagnostic observations taken from satellites (e.g. SOHO, Hinode). The most well-known method for dealing with comparisons like that is the chi-square approach. We will present an alternative way for making model comparisons using Bayesian statistics. Results from a dataset taken from Priest et al. (2000) are been presented.

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