On the OMFIT modeling framework and the development of steady ...
On the OMFIT modeling framework and the development of steady ...
On the OMFIT modeling framework and the development of steady ...
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Python scripting empowers users with limitless capabilities<br />
<strong>and</strong> available libraires simplify users job<br />
Example: Easy to setup non-linear parameter optimization based on<br />
cost function approach:<br />
• Change SCALEPP EXT variable in EFIT to obtain βp = 0.4<br />
def cost_f(x):<br />
<strong>OMFIT</strong>['EFIT']['FILES']['rfile']['PROFILE_EXT’]['SCALEPP_EXT']=x[0]<br />
<strong>OMFIT</strong>['EFIT']['SCRIPTS']['EFITexec'].run()<br />
cost=(<strong>OMFIT</strong>['EFIT']['FILES']['aEQDSK']['betap']/0.4 - 1)**2<br />
return cost<br />
x=[1.0]<br />
res = scipy.optimize.fmin(cost_f, x)<br />
Cost function Vs SCALEPP_EXT per iteration<br />
2<br />
4<br />
6<br />
5<br />
7<br />
8<br />
3<br />
1
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