Spectral features in ADAS. Martin O Mullane

Spectral features in ADAS Martin O’Mullane ADAS-EU course, CEA, Cadarache, 3-October-2012 Special/Spectral features and tools for modelling them No...
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Spectral features in ADAS Martin O’Mullane

ADAS-EU course, CEA, Cadarache, 3-October-2012

Special/Spectral features and tools for modelling them Not all spectra can be treated as isolated lines I

Quasi-continuum of high-Z ions.

I

Zeeman effect.

I

Balmer series.

I

He-like spectrum.

I

Stark split spectrum.

All are controlled by a limited set of inputs which enables the feature to be embedded into a parametrized fitting scheme. Spectral fitting tools for some of these features are being introduced into ADAS — many still in development so testers required

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Normal line emission Z

Rmax

PEC(r)Ne(r)Nz (r)ϕj→k (λ) dr

I(λ) = Rmin

The simplest line ‘feature’ is built-up from: I

Population calculation (adas208) for PEC

I

Measurement of electron density (and temperature) profiles

I

Ionisation balance along line of sight (Nz ) — either transport code or equilibrium balance (adas405)

I

Spectral profile — plasma and instrumentation (ϕj→k (λ))

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Feature photon emissivity coefficients The F − PEC is an extension of the familiar line emissivity coefficient. For an individual line: W

−13 1·10

10+

εj→k = Aj→k

M X

(exc)

Fjσ

NeNσ

σ=1

f−PEC (ph cm 3s−1 )

−14 8·10

Take a spectral interval, [λ0, λ1], subdivided into N pixels and a normalised emission profile, ϕj→k (λ) for each line.

−14 6·10 −14 4·10 −14 2·10

The envelope coefficient is:

0

feature

10000.0

(exc)[0,1]

1000.0 100.0 Te (eV)

photon

10.0 1.0 0.1

600

700

800 λ (Å)

900

1000

F PEC σ,i X j,k;λj→k ∈[0,1]

ADAS-EU course, CEA, Cadarache, 3-October-2012

emissivity

=

(exc) PEC σ,j→k

Z

λi+1

ϕj→k (λ) dλ, λi

www.adas.ac.uk

Generating spectral and power data — ADAS810 An adf42 driver file, made by adas8xx create drivers.pro, is used by ADAS810 to generate adf11/plt, adf15 and adf40 datasets.

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

ADAS801 — review or enter processing parameters

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

IDL (and fortran) routines to access F − PEC data

IDL> read_adf40,file=’/home/adas/adas/adf40/fpec40#w/fpec40#w_ic#w10.dat’, fulldata=al IDL> help, all, /st ESYM IZ0 IS IS1 NBLOCK NPIX WAVE_MIN WAVE_MAX NTE TE NDENS DENS FPEC TYPE

STRING LONG LONG LONG LONG LONG DOUBLE DOUBLE LONG DOUBLE LONG DOUBLE DOUBLE STRING

’W ’ 74 10 11 3 Array[3] Array[3] Array[3] Array[3] Array[14, 3] Array[3] Array[7, 3] Array[512, 14, 7, 3] Array[3]

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Interpolate onto our plasma conditions of interest IDL> wave=adas_vector(low=all.wave_min[0], high=all.wave_max[0], $ num=all.npix[0], /linear) IDL> file = ’/home/adas/adas/adf40/fpec40#w/fpec40#w_ic#w10.dat’ ILD> read_adf40, file=file, block=1, te=te, dens=dens, data=fpec_w10

For fortran call xxdata 40.for to read in the data and e3spln.for to interpolate these on the temperature and density pairs of interest.

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Hyperfine effects ADAS603 — Zeeman/Paschen-Back effect The spectral feature is the connected set of spectrum lines from magnetic field perturbation of multiplet components for a specified LS → L0S 0. I

λLSJM −L0S 0J 0M 0

I

Depends on magnetic field B.

I

Polarisation depends on whether M = M 0, M 0 + 1, M 0 − 1

I

Emissivities are proportional ro viewing angle.

Three IDL routines to retrieve the component data: I

adas603 get multiplets.pro lists available elements and transitions.

I

adas603 get hdlike.pro for H-like (H, D, T, He, C and Ne)

I

adas603 get zeeman.pro for other ions

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Hyperfine effects ADAS305 — Stark split beam emission A non-interactive code which calculates the hydrogen Balmer-α spectrum split into components due to the plasma magnetic field and arbitrary electric fields.

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Column emissivity (ph cm−2 s−1 A−1)

2.5•1013

2.0•1013

1.5•1013

1.0•1013

5.0•1012

0 6510

6520

ADAS-EU course, CEA, Cadarache, 3-October-2012

6530 Wavelength (A)

6540

6550

www.adas.ac.uk

Hyperfine effects — explore with ADAS605 A pedagogical tool to explore the response to feature inputs

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

Other features

I

CALCAT/Pickett code for diatomic band features (not in central ADAS) — ADAS series 9 is a more complete picture

I

Atomic data for He-like DR feature present in ADAS — specialized population code adas218 awaiting integration.

I

PPP code for series has been used in the past.

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

ADS602 — line fitting code

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

ADS603 — Zeeman feature line fitting code

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk

ADAS future development — afg/ffs afg — ADAS feature generator ffs — functions for spectral fitting

ADAS-EU course, CEA, Cadarache, 3-October-2012

www.adas.ac.uk