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Integrated data analysis of fast-ion measurements by velocity-space tomography

Mirko Salewski Technical University of Denmark

Department of Physics

M.Nocente, B.Geiger, A.S.Jacobsen, F.Binda, C.Cazzaniga, G. Gorini, G.Ericsson, J.Eriksson, W.W. Heidbrink, C.Hellesen, A.Hjalmarsson, V.G.Kiptily, S.B.Korsholm, T.Koskela, T.Kurki-Suonio, F.Leipold, J.Madsen, D.Moseev, S.K.Nielsen, J.Rasmussen, L.Stagner, M.Schneider, S.E.Sharapov, M.Stejner, M.Tardocchi, M.Weiland

2nd IAEA TM on Fusion Data Processing, Validation and Analysis 30 May - 2 June 2017, Cambridge, MA, USA

DTU Physics, Technical University of Denmark

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• Introduction to velocity-space tomography

• GRS/NES-based velocity-space tomography at JET

• FIDA-based velocity-space tomography at ASDEX Upgrade

• Summary and outlook

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Outline

Mirko Salewski

DTU Physics, Technical University of Denmark

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Introduction to velocity-space tomography

Mirko Salewski

Forward problem

Salewski et al (2011,12,13,14,15,16,17) NF

Inverse problem

𝑊𝐹 = 𝑆

Distribution function F Measurements S Matrix W

DTU Physics, Technical University of Denmark

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• Introduction to velocity-space tomography

• GRS/NES-based velocity-space tomography at JET

• FIDA-based velocity-space tomography at ASDEX Upgrade

• Summary and outlook

4

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Outline

Mirko Salewski

DTU Physics, Technical University of Denmark

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Neutron emission and gamma-ray spectrometry at JET

5 Mirko Salewski

Perpendicular view

Φ=90°(LOS, B)

Oblique view Φ=47°(LOS, B)

Eriksson et al (2015) NF

DTU Physics, Technical University of Denmark

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NES measurements

• 3 simultaneously measured spectra in JET #86459

• 4.5 MW NBI + 3 MW 3rd harmonic ICRF-heating

• Yellow: Used for inversion

6 Salewski et al (2017) NF

DTU Physics, Technical University of Denmark

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GRS measurements

• 2 GRS spectra in JET #86459

• High-resolution High-purity Germanium detector (1keV over 10 MeV)

• Two competing reactions

7 Salewski et al (2017) NF

DTU Physics, Technical University of Denmark

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Velocity-space observation regions

• Weight functions w:

• Signal/ion

• Discretize:

• Reject data if w is

1) is outside the target velocity space.

2) covers the velocity space below 120 keV.

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Jacobsen et al (2014) RSI, Jacobsen et al (2015) NF

Heidbrink et al (2007) PPCF

DTU Physics, Technical University of Denmark

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Velocity-space observation regions

• 5 detectors

• 3 typical Doppler shifts

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GRS 2868 keV

TOFOR

GRS 3367 keV

Diamond

NE213

High Medium Low

NES: Jacobsen et al (2014) RSI, Jacobsen et al (2015) NF

GRS: Salewski et al (2015) NF, Salewski et al (2016a) NF

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Inversion by 1st-order Tikhonov regularization

Mirko Salewski

• Forward problem:

• Inverse problem:

DTU Physics, Technical University of Denmark

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Velocity-space tomography vs. simulation

• Basic features agree: Tail length, tail width.

• Barrier region suggests low densities above 2 MeV.

• Velocity-space tomography confirms the barrier experimentally.

11 Mirko Salewski

[a.u.] [a.u.] [a.u.]

Salewski et al (2017) NF

DTU Physics, Technical University of Denmark

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What if we only use NES or GRS?

12 Mirko Salewski

• Inversions rely on integrated data analysis

• NES only or GRS only do not work well

DTU Physics, Technical University of Denmark

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• Introduction to velocity-space tomography

• GRS/NES-based velocity-space tomography at JET

• FIDA-based velocity-space tomography at ASDEX Upgrade

• Summary and outlook

13

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Outline

Mirko Salewski

DTU Physics, Technical University of Denmark

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FIDA spectroscopy at ASDEX Upgrade

Weiland et al (2016) PPCF

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DTU Physics, Technical University of Denmark

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Prior information: What do we know?

• F is non-negative.

• Null-measurements of FIDA light • (E,p) position of NBI peaks at E, E/2, E/3

Mirko Salewski Salewski et al (2016b) NF

DTU Physics, Technical University of Denmark

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High-definition tomography: Inversion using prior information

Simulation

Without prior information

With prior information

Artifacts

No visible artifacts

Mirko Salewski

Salewski et al (2016b) NF

DTU Physics, Technical University of Denmark

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Tomography movie of a sawtooth crash

Salewski et al (2016b) NF

• Upper panel: Measurement of fast ion density

𝑛𝑓 = 𝑓𝑑𝐸𝑑𝑝

• Lower panel: tomographic inversion movie

• fit to 50.000 data points

–100 frames

–5 spectra per frame

–100 data points per spectrum

Mirko Salewski

DTU Physics, Technical University of Denmark

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Sawteeth: FIDA tomography vs. TRANSP

TRANSP

FIDA

• Fairly good agreement

• Measured crashes smaller than simulated crashes.

• No measured crashes for |p|<0.25 in agreement with Kolesnichenko (1996) NF and disagreement with TRANSP.

Mirko Salewski

Salewski et al (2016b) NF

AUG #32323

DTU Physics, Technical University of Denmark

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For two-view FIDA systems: Numeric simulation as prior information

Salewski et al (2016b) NF

MUCH easier!

Not using TRANSP as prior information

Using TRANSP as prior information

Mirko Salewski

DTU Physics, Technical University of Denmark

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Reconstruction of differences from TRANSP

• Cases with and without TRANSP as prior information give consistent results for the 5-view case.

• Works for 2 FIDA views.

Mirko Salewski Salewski et al (2016b) NF

DTU Physics, Technical University of Denmark

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Optimal experimental design for fast-ion diagnostic sets

21 Mirko Salewski

• ASDEX Upgrade went from 3 to 5 FIDA views.

• Chose 2 viewing angles to best complement the other 3.

• Minimize quality parameter

• 85°and 50°are best.

Weiland et al (2016) PPCF

3 existing viewing angles

DTU Physics, Technical University of Denmark

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Velocity-space observation regions

CTS

FIDA

NES

2-step GRS

1-step GRS

NPA: Heidbrink et al (2007) PPCF

CTS: Salewski et al (2011) NF

FIDA: Salewski et al (2014) PPCF

NES: Jacobsen et al (2015) NF

GRS-2: Salewski et al (2015) NF

GRS-1: Salewski et al (2016) NF

• W has vastly different forms for the different diagnostics.

• Known already.

22 Mirko Salewski

DTU Physics, Technical University of Denmark

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Summary

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• Velocity-space tomography reveals new physics.

– Converts complex data to straightforward 2D images

– Combines diagnostics

– Accounts for nuisance parameters

• MeV range ion velocity-space tomography based on 5 NES/GRS spectra agrees well with simulations

• FIDA-based velocity-space movies at ASDEX Upgrade

• Velocity-space studies of sawtooth crashes confirm pitch selectivity

• Increase fast-ion measurement data at AUG and JET

• Use thermal ion signals

• Demonstrate approach on other machines

• Apply: Alfven modes, NTM, sawteeth, burning plasma

• Improve inversion methods

• Go 3D (spatial coordinate, constants-of-motion or EPmRm) Stagner (this conference)

Mirko Salewski

Outlook

Thank you for your attention!