On the OMFIT modeling framework and the development of steady ...

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OMFIT as the framework for testing NTV model for NRMF-induced rotation Calculated torque from new framework is consistent with measured NRMF torque Similar workflow to magnetic flutter study A.J. McCubbin APS 2012
Validation of the NTV model with the DIII-D experiment NTV calculated on a grid of C-coil n=1 amplitude and phases • Linear combinations of intrinsic error and C-coil field • 121 points, yet < 10 min thanks to parallelization • NTV model predicts peak torque which is not necessarily coincident with empirical experimental observation OMFIT M3D-C1 C coil ZIPFIT ONETWO Kinetic EFIT EFIT M3D-C1 Error elds Linear Combinations Parallelized Flux-surface Average NTV Calculations NTV Contour Map Integrated NTV torque relative to empirical optimum NTV optimum Empirical optimum C. Paz-Soldan
Page 1 and 2: On the OMFIT modeling framework and
Page 3 and 4: Conventional IM frameworks define d
Page 5 and 6: One Modeling Framework for Integrat
Page 7 and 8: 1 The OMFIT framework The OMFIT tre
Page 9 and 10: Data is organized in a a single, se
Page 11 and 12: OMFIT data structure allows unified
Page 13 and 14: High level Python APIs allow users
Page 15 and 16: MDS+ tree, PTDATA signals, SQL tabl
Page 17 and 18: Growing list of available modules E
Page 19 and 20: OMFIT used for control-room MSE+kin
Page 21: OMFIT as the framework for testing
Page 25 and 26: 1 The OMFIT framework The OMFIT tre
Page 27 and 28: OMFIT used to find new solution bas
Page 29 and 30: Solution 2: Inner wall launching lo
Page 31 and 32: Solution 2: Sensitivity study to in
Page 33 and 34: Optimized inner wall launch shows s
Page 35 and 36: OMFIT driven simulation with simult
Page 37 and 38: After 1s of GCNMP/GLF23 Te Ti evolu
Page 39: Conclusions and future developments

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