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Documentation.

Name:

calc_sharp_params.pro

Purpose:

This algorithm reproduces the 16 SHARP parameters included in the  FITS headers metadata.  These parameters, are described in Table 1 of Bobra et al. 2014. It also expands on the SHARP keywords to calculate other (spatial) distribution moments of the physical quntity: minimum and maximum values, mean, median, total, and other distribution moments such as the standard deviation (σ), skewness (ς), and kurtosis (κ). A good-pixels mask is used as well. In contrast to the original algorithm -- which uses a Green-function solver to calculate the surface potential field extrapolation -- the much faster FFT approach developed by Alissandrakis 1981 is used.

Calling sequence:

CALC_SHARP_PARAMS, images, ind, params_out [, act_kws]

Input parameters:

images =  HARP cutout magnetogram corrected for limb presence.
ind = structure containing magnetogram's metada (resolution).

Optional input parameters:

act_kws = Optional keywords. Setup in the configuration files. 

Output parameters:

params_out - Structure containing the results. There are 16 key names (one for each property map) 
             and for most of them 9 sub key values are calculated: total, mean, median, standard 
             deviation, skewness, kurtosis, min, and max. 
             Key names: usflx, sflux, gamma, hgradbt, hgradbz, hgradbh, jz, usiz, twistp, hz, ushz,
             snetjzpp*, rhod, rho, sheargamma, ggt45fract**. 
             Sub-keys: total, ave, stddev, median, max, skewness, kurtosis.
*Only total sub-key.
**Only the fraction value, no sub-key.         

Property name in DB:

sharp_kw.keyname.subkeyname

E.g.: sharp_kw.usflux.total  For total unsigned flux.

Repository:

https://dev.flarecast.eu/stash/projects/FE/repos/sharp_kw-idl/browse

References

  1. http://adsabs.harvard.edu/abs/2014SoPh..289.3549B
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