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Using HRTS Data in TRANSP I. Jenkins

Using HRTS Data in TRANSP I. Jenkins. HRTS Data in TRANSP I. HRTS data now routinely available giving much higher resolution esp. at plasma edge. However, trajectory of the laser is further from the plasma midplane – data needs remapping before use in TRANSP (this was not an issue for LIDAR)

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Using HRTS Data in TRANSP I. Jenkins

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  1. Using HRTS Data in TRANSP I. Jenkins

  2. HRTS Data in TRANSP I • HRTS data now routinely available giving much higher resolution esp. at plasma edge. • However, trajectory of the laser is further from the plasma midplane – data needs remapping before use in TRANSP (this was not an issue for LIDAR) • Initial attempt used an EFIT equilib. (one time point) and used FLUSH routines to remap R vector of HRTS. OK for pulses where equilib. Relatively stable during period of interest, but still not using correct equilib. (FLUSH does not work with TRANSP equilib.)

  3. HRTS data in TRANSP II • Remapping onto TRANSP equilibrium requires initial run with un-mapped data • This eq. is stored in the .cdf file as a series of flux contours (normalised poloidal flux) which can be reconstructed • Then create a 2D (R,z) grid of flux using IDL function • The (R,z) vector of HRTS data can then be interpolated onto this grid at each time point • Then re-interpolate onto fine grid which is constant with time • Write new PPF of re-mapped data Z (cm) 76063T33 @44.718s R (cm)

  4. HRTS data in TRANSP III • Difference in input data to leads to different kinetic profiles in TRANSP run • Here T04 (raw data) compared with T42 (fully re-mapped and smoothed)

  5. HRTS in TRANSP IIII • Comparison of measured Wdia vs TRANSP calculation After re-mapping Before re-mapping (T04)

  6. Effect on BS Current • Re-mapping data will have effect on position and magnitude of Te,Ne gradients – effect on calculated bootstrap current Te,Ne and CURBS @6.0s fot 78085 T02 (raw HRTS) and T11 (remapped) show the difference in calculated CURBS (bootstrap profile) When this is integrated can lead to substantial difference in total BS current

  7. Conclusions • Re-mapping HRTS data required for TRANSP • IDL code developed to do this using equilibrium from initial TRANSP run • Results show improved agreement with measured Wdia and better match of kinetic/magnetic plasma edge • Code is available to JET TRANSP runners as required • Ti re-mapping does not cause such big difference (not usually strong gradient at edge) but re-mapping methods are being investigated…

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