Recent Developments of Integrated Data Analysis at ASDEX Upgrade R. - - PowerPoint PPT Presentation

recent developments of integrated data analysis at asdex
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Recent Developments of Integrated Data Analysis at ASDEX Upgrade R. - - PowerPoint PPT Presentation

7 th Workshop on Fusion Data Processing, Validation and Analysis Recent Developments of Integrated Data Analysis at ASDEX Upgrade R. Fischer, L. Barrera, A. Burckhart, M.G. Dunne, C.J. Fuchs, L. Giannone, J. Hobirk, P.J. McCarthy, M. Rampp,


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SLIDE 1

Recent Developments of Integrated Data Analysis at ASDEX Upgrade

  • R. Fischer, L. Barrera, A. Burckhart, M.G. Dunne, C.J. Fuchs, L.

Giannone, J. Hobirk, P.J. McCarthy,

  • M. Rampp, S.K. Rathgeber, R. Preuss, W. Suttrop, P. Varela,
  • M. Willensdorfer, E. Wolfrum, and ASDEX Upgrade Team

Max-Planck-Institut für Plasmaphysik, Garching EURATOM Association

Frascati, Mar 26-28, 2012

7th Workshop on Fusion Data Processing, Validation and Analysis

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SLIDE 2

Multi-diagnostic profile reconstruction

➢ Lithium beam impact excitation spectroscopy ➢ Interferometry measurements (DCN)

➢ Electron cyclotron emission (ECE)

Forward modelling of the electron cyclotron

radiation transport

→ Te at optically thin plasma edge ➢ Thomson scattering (TS)

➢ Reflectometry (REF)

→ ne at plasma edge

➢Equilibrium reconstructions for diagnostics

mapping (LiB)

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SLIDE 3
  • 1. ECE forward modelling
  • Magnetic fusion: Understanding and control of plasma edge
  • Large variations of plasma parameters within a very thin layer
  • Reliable electron density, temperature and pressure profiles

with high spatial and temporal resolution

  • Workhorse ECE: (+) plasma core , (-) plasma edge
  • ECE assumptions: local emission and black-body radiation (optically thick plasma)
  • Optically thin plasma edge

→ EC emission depends on density → combination with data from density diagnostics → calculate broadened EC emission and absorption profiles depending on Te and ne → solve radiation transport equation → forward modelling in the framework of Integrated Data Analysis

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SLIDE 4

ECE forward modelling

  • S. K. Rathgeber, et al., to be published
  • S. K. Rathgeber, PhD thesis
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SLIDE 5

Electron cyclotron intensity

Radiation transport equation: dI s ds = js−sI s

s LOS coordinate I  spectral intensity j emissivity  reabsorption

Emissivity: j m=e

2m 2 c 2

8

20

m

2m−1

m−1!

2 sin  2m−1cos 21

×∫[1−∥cos]−m   ⊥ 2 

2m

f ∥ ,⊥2⊥ d ⊥ d ∥

m  m=meB me 

−2=1− 2=1−∥ 2−⊥ 2

∥, ⊥=v∥, ⊥ c f ∥, ⊥

mth harmonic angle to magn.field

  • freq. cold resonance

Maxwell distribution

Absorption

(Kirchhoff's law for thermal equilibrium):

= j I BB I BB= 

2

8

3c 2 k BT e

Black-body intensity

(in Rayleigh-Jeans approximation):

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SLIDE 6

Electron cyclotron emissivity

Emissivity for 2nd harmonic in X-mode =

7/2

∫[1−∥cos]−2X

 exp−[⊥

2 ∥ 2]⊥ 5 d ⊥ d ∥

j 2X=2X jne  2X=1 2 1 8 sin

4cos 2

cos

21cos 2 1

16 sin

4

2nd harmonic in X-mode fraction only jne= e 2X 4

2 ne

0c sin

2cos 21

total emissivity shape function = mec² 2k BT e Shape function can be integrated analytically ...

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SLIDE 7

Electron cyclotron emissivity

= 

3/2

cos

5[exp−1−

−sin

2



 

2

−3−2sin

2



F ]1

 2

Shape function: = mec² 2k BT e =  2X

2

=1−∥cos

2

=1cos

2

1/2=1−∥,1/2cos

2

∥,1/2=cos∓1−sin

2

1cos

2

F  Dawson integral (efficient subroutines and approximations) → fast forward model for the EC radiation transport in the plasma

  • S. K. Rathgeber, et al., to be published
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SLIDE 8

IDA: LIB + DCN + ECE(radiation transport)

✔ Efficient ECE radiation

transport forward modeling

✔ High temporal (32 μs) and

spatial (5 mm) resolution of edge temperature profiles

✔ Combination with density

diagnostics (LIB, DCN)

✔ Quantitative reproduction of

EC emission for all frequencies resonant in between the vessel walls

✔ shine-through peak

explained without needing supra-thermal electrons

✔ shine-through peak provides

important information about the pedestal Te gradient

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SLIDE 9

IDA: LIB + DCN + ECE(radiation transport)

✔ Reveals steeper pedestal Te gradients compared to conventional analysis ✔ Pressure profiles and gradients at plasma edge

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SLIDE 10

IDA: LIB + DCN + ECE(radiation transport)

✔ Provides information about diagnostics alignment

➔ Relative shift between ne and Te → minimum in data residues

✔ Sensitivity study:

➔ Profile parameterization with cubic spline (number and position of knots) ➔ Amplitude and alignment of electron density ➔ Reflection on the vessel wall (tungsten) ➔ Antenna pattern ➔ Additional 1st O-mode contribution

  • S. K. Rathgeber et al., to be published; PhD thesis
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SLIDE 11
  • 2. Reflectometry forward modelling
  • Goal: ne profiles, plasma position control (ITER)
  • Classical analysis: Abel inversion (O-mode)

→ location of cutoff layer

  • Problems:
  • Multiple analysis steps (phase of reflected wave → group delay → density)
  • error treatment/propagation; profile uncertainties
  • density initialization outside first cutoff layer
  • unphysical profiles
  • IDA
  • Forward modelling of measured data for given density profile
  • Benefit:
  • Additional data (density initialization, complementary at pedestal top)
  • Alignment
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SLIDE 12

Reflectometry forward modelling

Time delay of the reflected beam (group delay):  f = 1 2 ∂ ∂ f Phase of reflected beam: =4 f c

rc f  r1

rdr− 2 r= 1− nr nc f  ; nc f = 4

20me f 2

e

2

Refractive index:  f , nr=2 c ∫

rc−r1

2 x

1−nrc−x

2

nc dx Forward model for group delay for a given density profile:

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SLIDE 13

IDA: LIB + DCN + Reflectometry

IDA: LIB+DCN RPF (Abel inv.) IDA: LIB+DCN+RPF

  • Only physically reasonable

profiles possible (spline)

  • Alignment is ok (< 5 mm)
  • Modification of ne at

pedestal top

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SLIDE 14

IDA: LIB + DCN + Reflectometry

  • Systematic deviance in REF residue
  • Minor changes in LIB residue due to

modification of ne at pedestal top

  • SNR(REF) < SNR(LIB)
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SLIDE 15
  • 3. IDA and the Magnetic Equilibrium

➢ Combine profile diagnostics LIB, DCN, ECE, TS, REF(new) → ne and Te profile fits to all data at once (IDA shotfile) ➢ Mapping on a common coordinate grid using an existing equilibrium (EQH/EQI/FPP) ➢ Inconsistency: Equilibrium is not evaluated with kinetic profiles from IDA ✗ Position of magnetic axis, separatrix, inner flux surfaces? ✗ DCN: H2-H3 vertical plasma position often seems to be wrong up to ~1cm. ✗ ECE: (r,z) depends on equilibrium ✗ TS: vertical system relies very much on equilibrium ✗ Alignment of TS, ECE, LIB (with separatrix Te) → uncertainties in the equilibrium ??? ➢ Goal: combine data from profile diagnostics with magnetic data for a joint estimation of profiles and the magnetic equilibrium ➢ Needs equilibrium code: ✗ CLISTE very successful, but code too sophisticated to be adapted to the IDA code ✗ New code based on the ideas (success) of CLISTE (P. McCarthy, L. Giannone, P. Martin, K. Lackner, S. Gori) ✗ Extra: Parallel Grad-Shafranov solver (R. Preuss, M. Rampp, K. Hallatschek, L. Giannone)

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SLIDE 16

1) Grid MxN (typically: radially 65 x vertically 128) 2) (a) Garchinger Equilibrium Code (GEC: Lackner et al, 1976) based on cyclic reduction (b) Garchinger Parallel Equilibrium Code (GPEC: Preuss et al, 2012) 3) CLISTE “Fast Mode”: solve Ψ individually for Np+NF basis functions π and Ф (cubic spline (CLISTE), Bernstein polynomials (Giannone), Fourier-Bessel polynom.) for p' and FF' [P.J. Mc Carthy, W. Schneider, P. Martin, "The CLISTE interpretive equilibrium code",

IPP laboratory report 5/85 (1999).]

4) SOL: P' and FF' ≠ 0 5) Linear regression to data (Bpol , Dpsi , Iext , pressure profile, ...)

Grad-Shafranov solver

R ∂

∂ R 1 R ∂ ∂ R ∂² ∂ z²=−2²0R

2 P '0 FF '

Grad-Shafranov equation: Ideal magnetohydrodynamic equilibrium for poloidal flux function Ψ for axisymmetric geometry p ' =∑

h=1 N p

chh FF ' =∑

k=1 N F

d k k    c , d   

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SLIDE 17

IDE: data and residues

Bpol measured Bpol fitted Bpol residue Dpsi measured Dpsi fitted Dpsi residue

#25764

Residues in the order of ~mT

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SLIDE 18

IDE: external currents and residues

Iext measured Iext fitted Iext residue Iext measured and fitted: V1o, V1u, V2o, V2u, V3o, V3u, OH1 = OH3o = OH3u = OH, OH2o = OH + dOH2s, OH2u = OH + dOH2s + dOH2u, Coiu, Coiu, Ipslon, Ipslun

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SLIDE 19

Comparison EQH/IDE: pressure and poloidal current

Net poloidal plasma current (wo external currents)

➢ Center: Pressure constraints reduce Ipol,net ➢ Edge: Opposite direction

Pressure profile and IDA pressure constraints (Ti = Te, Zeff = 1.5, uncertainty 50%)

➢ Center: Pressure gradient → p' ➢ Edge: p and p'

Grad-Shafranov: p' FF'

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SLIDE 20

Comparison EQH/IDE: flux contour and separatrix

EQH IDE

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SLIDE 21

Comparison EQH/IDE: Temperature and density

edge

#25764, 2.0s

core

~5cm ~5mm

IDA(EQH) IDA(IDE)

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SLIDE 22

Summary: IDA at ASDEX Upgrade

✔ Solving the radiation transport equation ✔ Combination with density diagnostics (LIB, DCN) ✔ shine-through peak (no supra-thermal electrons, pedestal Te gradient) ✔ Diagnostic alignment ✔ sensitivity study

➢ ECE forward modelling ➢Reflectometry forward modelling

✔ Group delay for given density profile ✔ error propagation → uncertainty of profiles ✔ redundant information → resolve data inconsistencies ✔ Complementary information → pedestal-top density

➢ IDA and magnetic equilibrium

✔ New equilibrium code with parallel Grad-Shafranov solver ✔ Consistency of profiles and equilibrium ✔ Reduction of ill-posedness ✔ Edge current distributions