vmi images –fitting helgi rafn hróðmarsson. the purpose of this fitting procedure is to check...

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VMI images –fitting Helgi Rafn Hróðmarsson

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Page 1: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

VMI images –fitting

Helgi Rafn Hróðmarsson

Page 2: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

• The purpose of this fitting procedure is to check whether the assumption that the angular distribution data can be fitted with an expression of both the two-photon excitation transition as well as the ionization pathway.

(see slides 9 – 21 in https://notendur.hi.is/~agust/rannsoknir/Crete/PPT-131219.pptx )

Page 3: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

i.e. something like:

q0 180

f i

ph f

Experiment

b(ph)

(1) + A~

-for red coloured parameters unknown => derive b(ph)

Page 4: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

• Previous fit functional form used by Dimitris Zaouris wasI(q)= A(1 + b2*(1.5*cos2(q)-0.5)

The new fit equation (named „Ice fit“) is based on a two-step excitation scheme as formulated in slides 9 – 21 in https://notendur.hi.is/~agust/rannsoknir/Crete/PPT-131219.pptx :

• I(q)=A*(1+b2(f)*(1.5*cos2(q)-0.5))*(1+b2

(ph) *(1.5*cos2(q)-0.5))

• where • A is a normalizing constant.

• b2(f) = -0.62215, obtained from REMPI data. (see slide 17 in

https://notendur.hi.is/~agust/rannsoknir/Crete/PPT-131219.pptx)• b2

(ph) is the “beta-factor” for the ionization pathway.

Page 5: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

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Page 6: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=1) – peak A – Ice fit 11.0

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Curve Fit Results Mon, Feb 10, 2014Coefficient values ± one standard deviation beta1 =-0.62215 ± 0 A =0.86907 ± 0.0127 beta2 =1.1514 ± 0.0345

Page 7: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=1) – peak B – Ice fit 11.0

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Curve Fit Results Mon, Feb 10, 2014Coefficient values ± one standard deviation beta1 =-0.62215 ± 0 A =0.89662 ± 0.00382 beta2 =0.33335 ± 0.00962

Page 8: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=1) Greek Icelandic 1

A (A;b1;b2) 0,76118±0,009250,45744±0,0283

0,86907±0,0127-0,622151,1514±0,0345

B 0,85873±0,00499-0,37458±0,0126

0,89662±0,00382-0,622150,33335±0,00962

C 0,13704±0,00751,9112±0,173

0,17007±0,0112-0,622152±0,17

D 0,41475±0,005411,7632±0,0399

0,52983±0,0235-0,622152±0,14

E 0,27321±0,01061,8038±0,12

0,3591±0,0268-0,622152±0,192

F 0,36161±0,008171,5113±0,0651

0,46318±0,027-0,622151,9759±0,148

G 0,39409±0,009231,4896±0,0672

0,50614±0,0259-0,622151,9828±0,131

Page 9: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=2) – peak A – Ice Fit 11.0

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Curve Fit ResultsTue, Feb 11, 2014

Fit Type: least squares fitCoefficient values ± one standard deviation A =0.81307 ± 0.0134 beta1 =-0.62215 ± 0 beta2 =1.2773 ± 0.0392

Page 10: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=2) – peak B – Ice fit 11.0

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Curve Fit ResultsTue, Feb 11, 2014

Fit Type: least squares fitCoefficient values ± one standard deviation A =0.91825 ± 0.00505 beta1 =-0.62215 ± 0 beta2 =0.39804 ± 0.0131

Page 11: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=2) Greek Icelandic 1

A (A;b1;b2) 0,76118±0,009250,45744±0,0283

0,81307±0,0134-0,622151,2773±0,0392

B 0,87669±0,004290,29162±0,0106

0,91825±0,00505-0,622150,39804±0,0131

C 0,17162±0,01212±0,227

0,23872±0,0199-0,622152±0,45

D 0,43901±0,00771,391±0,0492

0,46173±0,0246-0,622152±0,30

E 0,29792±0,01591,839±0,166

0,36734±0,0271-0,622152±0,22

F 0,15042±0,004631,4516±0,0875

0,20227±0,0123-0,622152±0,18

G 0,43901±0,00771,391±0,0492

0,53567±0,0212-0,622151,8482±0,0971

Page 12: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=3) – peak A – Ice fit 11.0

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Curve Fit ResultsTue, Feb 11, 2014

Fit Type: least squares fitCoefficient values ± one standard deviation A =0.97163 ± 0.0108 beta1 =-0.62215 ± 0 beta2 =0.91082 ± 0.0262

Page 13: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=3) – peak B – Ice fit 11.0

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Curve Fit ResultsTue, Feb 11, 2014

Fit Type: least squares fitCoefficient values ± one standard deviation A =0.97059 ± 0.0085 beta1 =-0.62215 ± 0 beta2 =0.56026 ± 0.02

Page 14: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=3) Greek Icelandic 1

A (A;b1;b2) 0,87109±0,01040,18036±0,0267

0,97163±0,0108-0,622150,91082±0,0262

B 0,90372±0,00754-0,17687±0,0182

0,97059±0,0085-0,622150,56026±0,02

C

D 0,22624±0,01061,3921±0,131

0,31474±0,00922-0,622152±0,10

E 0,48809±0,0241-0,622152±0,15

F 0,3953±0,01461,2594±0,1

0,49898±0,0216-0,622151,8438±0108

G 0,49621±0,01771,0946±0,0939

0,63018±0,0132-0,622151,7876±0,0531

Page 15: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=4) – peak A – Ice fit 11.0

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Curve Fit ResultsWed, Feb 12, 2014

Fit Type: least squares fitCoefficient values ± one standard deviation A =0.92483 ± 0.0146 beta1 =-0.62215 ± 0 beta2 =0.41919 ± 0.0355

Page 16: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=4) – peak B – Ice fit 11.0

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Curve Fit ResultsWed, Feb 12, 2014

Fit Type: least squares fitCoefficient values ± one standard deviation A =0.72084 ± 0.00475 beta1 =-0.62215 ± 0 beta2 =0.69182 ± 0.0156

Page 17: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=4) Greek Icelandic 1

A (A;b1;b2) 0,8717±0,01010,33282±0,0252

0,92483±0,0146-0,622150,41919±0,0355

B 0,66393±0,00724-0,036446±0,024

0,72084±0,00475-0,622150,69182±0,0156

C

D 0,61987±0,0248-0,622151,939±0,101

E 0,35438±0,01941,3384±0,152

0,44253±0,0342-0,622151,8133±0,192

F 0,50083±0,01491,2284±0,0803

0,65381±0,0247-0,622151,8808±0,0984

G 0,25361±0,01010,80411±0,099

0,32169±0,0113-0,622151,6199±0,0873

Page 18: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=5) – peak A – Ice fit 11.0

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Curve Fit ResultsWed, Feb 12, 2014 16:42:45

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.60009 ± 0.00992beta1 =-0.62215 ± 0beta2 =0.521 ± 0.0397

Page 19: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=5) – peak B – Ice fit 11.0

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Curve Fit ResultsWed, Feb 12, 2014 16:48:21

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.99436 ± 0.0101beta1 =-0.62215 ± 0beta2 =0.7879 ± 0.0241

Page 20: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=5) Greek Icelandic 1

A (A;b1;b2) 0,56496±0,00739-0,17113±0,0285

0,60009±0,00992-0,622150,521±0,0397

B 0,90547±0,008560,063685±0,0209

0,99436±0,0101-0,622150,7879±0,0241

C

D 0,25092±0,0109-0,622152±0,13

E 0,1303±0,007481,3471±0,159

0,16249±0,0131-0,622151,8091±0,201

F 0,26804±0,008941,3276±0,0922

0,34558±0,0161-0,622151,9056±0,121

G 0,13687±0,003771,0828±0,0722

0,17482±0,00575-0,622151,7706±0,083

Page 21: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=6) – peak A – Ice fit 11.0

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Curve Fit ResultsThu, Feb 13, 2014 10:54:04

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.82007 ± 0.00725beta1 =-0.62215 ± 0beta2 =0.3087 ± 0.02

Page 22: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=5) – peak B – Ice fit 1

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Curve Fit ResultsThu, Feb 13, 2014 11:01:12

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.96185 ± 0.0101beta1 =-0.62215 ± 0beta2 =0.98997 ± 0.0247

Page 23: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=6) Greek Icelandic 1

A (A;b1;b2) ±±

0,82007±0,00725-0,622150,3087±0,02

B 0,85371±0,0940,25965±0,0249

0,96185±0,0101-0,622150,98997±0,0247

C

D 0,55652±0,0309-0,622151,9759±0,147

E 0,46686±0,02241,1077±0,127

0,59043±0,0284-0,622151,7602±0,121

F 0,1392±0,004371,0142±0,0811

0,17906±0,0073-0,622151,7545±0,103

G 0,41703±0,01840,97138±0,113

0,55327±0,026-0,622151,803±0,121

Page 24: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=7) – peak A – Ice fit 11.0

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Curve Fit ResultsThu, Feb 13, 2014 11:30:27

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.8855 ± 0.0118beta1 =-0.62215 ± 0beta2 =0.59888 ± 0.0303

Page 25: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=7) – peak B – Ice fit 11.0

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Curve Fit ResultsThu, Feb 13, 2014 11:33:30

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.96448 ± 0.0113beta1 =-0.62215 ± 0beta2 =0.95905 ± 0.0272

Page 26: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=7) Greek Icelandic 1

A (A;b1;b2) 0,81874±0,00999-0,1475±0,0266

0,8855±0,0118-0,62215 0,59888±0,0303

B 0,85244±0,01030,19325±0,027

0,96448±0,0113-0,622150,95905±0,0272

C

D 0,35768±0,0169-0,622151,8061±0,119

E 0,20043±0,01211,3719±0,168

0,2557±0,0196-0,622151,8678±0,196

F 0,56079±0,02240,96569±0,102

0,71665±0,0184-0,622151,7332±0,0651

G 0,47816±0,02270,92885±0,121

0,61749±0,0223-0,622151,7435±0,0918

Page 27: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=8) – peak A – Ice fit 11.0

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Curve Fit ResultsFri, Feb 14, 2014 10:02:42

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.89395 ± 0.0102beta1 =-0.62215 ± 0beta2 =0.36528 ± 0.0272

Page 28: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=8) – peak B – Ice fit 11.0

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Curve Fit ResultsFri, Feb 14, 2014 10:07:58

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.70103 ± 0.0096beta1 =-0.62215 ± 0beta2 =1.0059 ± 0.032

Page 29: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=8) Greek Icelandic 1

A (A;b1;b2) 0,85434±0,00782-0,32847±0,0199

0,89395±0,0102-0,62215 0,36528±0,0272

B 0,61819±0,006410,26281±0,0235

0,70103±0,0096-0,62215 1,0059±0,032

C

D 0,48587±0,0314-0,62215 1,8065±0,161

E 0,050319±0,003620,81428±0,178

0,06375±0,00468-0,62215 1,5693±0,18

F 0,37184±0,008990,83385±0,0602

0,45401±0,0145-0,62215 1,5277±0,0782

G 0,53696±0,02250,98697±0,108

0,67354±0,0151-0,62215 1,7095±0,0556

Page 30: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=9) – peak A- Ice fit 11.0

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Curve Fit ResultsFri, Feb 14, 2014 10:56:52

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.76278 ± 0.00548beta1 =-0.62215 ± 0beta2 =0.068452 ± 0.0165

Page 31: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=9) – peak B- Ice fit 11.0

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Curve Fit ResultsFri, Feb 14, 2014 11:01:47

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.90479 ± 0.0118beta1 =-0.62215 ± 0beta2 =0.98217 ± 0.0304

Page 32: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peaks (J=9) Greek Icelandic 1

A (A;b1;b2) 0,7539±0,00573-0,59057±0,0166

0,76278±0,00548-0,62215 0,068452±0,0165

B 0,8±0,007980,23631±0,0225

0,90479±0,0118-0,62215 0,98217±0,0304

C

D 0,29856±0,0186-0,62215 1,6688±0,155

E 0,10717±0,007550,73928±0,172

0,12381±0,011-0,62215 1,2622±0,21

F 0,25428±0,1020,55248±0,0946

0,30221±0,0139-0,62215 1,2887±0,109

G 0,21671±0,009260,78085±0,105

0,27046±0,0092-0,62215 1,5698±0,0834

Page 33: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

The Greek fit

Page 34: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

The Icelandic fitb2

(ph)

Page 35: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peak A angular distributions„Ice fit“:

Page 36: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

150100500

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Peak A J=1 J=2 J=3 J=4 J=5 J=6 J=7 J=8 J=9

Page 37: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

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Page 38: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Peak B angular distributions

Page 39: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

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Page 40: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

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Page 41: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

• Now to test another fit equation namely...• I(q)=A*(1+b2

(f)*P2(cos( )q )+b4(f)*P4(cos( )q ))*

(1+b2(ph)*P2(cos( )q )+b4

(ph)*P4(cos( )q ))

• I(q)=A*(1 + b2(f) * (1.5 * cos2(q) - 0.5) + b4

(f) * (1/8) * (35 * cos4(q) – 30 * cos2(q) + 3)) * (1 + b2

(ph) * (1.5 * cos2(q) - 0.5) + b4(ph) * (1/8) * (35 * cos4(q) – 30 * cos2(q) + 3)))

• ...to try to get a better fit to the curves. • Let’s try this fit of peak A and peak B.• Again, as before, we keep b2

(ph) constant and we’ll be observant whether the b2

(f) constant stays about the same or it changes dramatically.

Page 42: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=1 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:10:06

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.89905 ± 0.0104beta2f =1.2806 ± 0.0331beta2 =-0.62215 ± 0beta4f =0.30293 ± 0.0561beta4 =-0.012273 ± 0.0179

Page 43: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

• And comparison with the previous “Ice fit”.

Page 44: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

E(v=0,J=1) – peak A – Ice fit 11.0

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Curve Fit Results Mon, Feb 10, 2014Coefficient values ± one standard deviation beta1 =-0.62215 ± 0 A =0.86907 ± 0.0127 beta2 =1.1514 ± 0.0345

Page 45: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

• 1) We get a better fit than before with more points from the edges of the scattering.

• 2) The b2(f) constant changes from 1.15 to

1.28, i.e. not a gargantuan increase. • 3) We also get values for the b4

(f) constant as well as b4

(ph) constant.

Page 46: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=1 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:25:41

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.89219 ± 0.0029beta2f =0.31219 ± 0.0106beta2 =-0.62215 ± 0beta4f =-0.018268 ± 0.0245beta4 =0.037854 ± 0.0137

Page 47: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=2 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:32:53

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.83536 ± 0.00992beta2 =-0.62215 ± 0beta4 =-0.0084828 ± 0.0174beta2f =1.3924 ± 0.0339beta4f =0.33585 ± 0.0567

Page 48: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=2 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:37:05

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.92064 ± 0.00408beta2 =-0.62215 ± 0beta4 =0.056817 ± 0.0173beta2f =0.40504 ± 0.0143beta4f =0.0068155 ± 0.0321

Page 49: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=3 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:41:31

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.97617 ± 0.00893beta2 =-0.62215 ± 0beta4 =0.10676 ± 0.0262beta2f =0.90819 ± 0.0288beta4f =0.0013062 ± 0.058

Page 50: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=3 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:46:09

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.97064 ± 0.0111beta2 =-0.62215 ± 0beta4 =-0.051035 ± 0.026beta2f =0.58679 ± 0.0342beta4f =0.16301 ± 0.0628

Page 51: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=4 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 16:55:25

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.91287 ± 0.0123beta2 =-0.62215 ± 0beta4 =0.20641 ± 0.103beta2f =0.31983 ± 0.0446beta4f =-0.24444 ± 0.145

Page 52: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=4 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:01:34

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.72831 ± 0.00394beta2 =-0.62215 ± 0beta4 =0.058362 ± 0.0169beta2f =0.724 ± 0.017beta4f =0.049751 ± 0.0348

Page 53: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=5 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:08:07

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.60375 ± 0.00787beta2 =-0.62215 ± 0beta4 =0.18739 ± 0.0707beta2f =0.50699 ± 0.0441beta4f =-0.097026 ± 0.114

Page 54: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=5 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:12:22

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =1.008 ± 0.0171beta2 =-0.62215 ± 0beta4 =-0.049958 ± 0.031beta2f =0.86542 ± 0.0493beta4f =0.22831 ± 0.0861

Page 55: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=6 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:18:16

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.82389 ± 0.00774beta2 =-0.62215 ± 0beta4 =-0.044228 ± 0.027beta2f =0.34364 ± 0.0288beta4f =0.12466 ± 0.0566

Page 56: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=6 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:22:35

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.97266 ± 0.00385beta2 =-0.62215 ± 0beta4 =0.037865 ± 0.00834beta2f =1.0356 ± 0.0118beta4f =0.13924 ± 0.0217

Page 57: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=7 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:31:47

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.87634 ± 0.00937beta2 =-0.62215 ± 0beta4 =0.086349 ± 0.0426beta2f =0.55684 ± 0.0347beta4f =-0.013119 ± 0.0781

Page 58: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=7 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:42:01

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.96449 ± 0.00865beta2 =-0.62215 ± 0beta4 =0.023432 ± 0.0188beta2f =0.97904 ± 0.0267beta4f =0.15073 ± 0.0489

Page 59: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=8 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:48:44

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.89217 ± 0.0125beta2 =-0.62215 ± 0beta4 =0.11342 ± 0.0708beta2f =0.3465 ± 0.0468beta4f =-0.044266 ± 0.118

Page 60: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=8 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:51:54

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.70668 ± 0.00398beta2 =-0.62215 ± 0beta4 =0.047804 ± 0.013beta2f =1.049 ± 0.017beta4f =0.18153 ± 0.0315

Page 61: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=9 – Peak A1.0

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Curve Fit ResultsTue, Mar 11, 2014 17:57:10

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.75873 ± 0.00507beta2 =-0.62215 ± 0beta4 =0.12886 ± 0.0691beta2f =0.022121 ± 0.023beta4f =-0.16096 ± 0.0904

Page 62: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

J=9 – Peak B1.0

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Curve Fit ResultsTue, Mar 11, 2014 18:00:31

Fit Type: least squares fitCoefficient values ¡À one standard deviation

A =0.90943 ± 0.00719beta2 =-0.62215 ± 0beta4 =0.11616 ± 0.0207beta2f =0.99211 ± 0.0245beta4f =0.080732 ± 0.048

Page 63: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

Beta2 (fit 1) Beta2 (fit 2) Beta4ph (fit 2) Beta4f (fit 2)

J=1 – peak A 1.15±0.03 1.28±0.03 -0.01±0.02 0.30±0.06

J=1 – peak B 0,33±0,01 0.31±0,01 0.04±0,01 -0.02±0,02

J=2 – peak A 1,28±0,04 1.39±0,03 -0.01±0,02 0.34±0,06

J=2 – peak B 0,40±0,01 0.41±0,01 0.06±0,02 0.01±0,03

J=3 – peak A 0,91±0,03 0.91±0,03 0.11±0,03 0.00±0,06

J=3 – peak B 0,56±0,02 0.59±0,03 -0.05±0,03 0.16±0,06

J=4 – peak A 0,42±0,04 0.32±0,04 0.21±0,10 -0.24±0,15

J=4 – peak B 0,69±0,02 0.72±0,02 0.06±0,02 0.05±0,03

J=5 – peak A 0,52±0,04 0,51±0,04 0.19±0,07 -0.10±0,11

J=5 – peak B 0,79±0,02 0.87±0,05 -0.05±0,03 0.22±0,09

J=6 – peak A 0,31±0,02 0.34±0,03 -0.04±0,03 0.12±0,06

J=6 – peak B 0,99±0,02 1.04±0,01 0.038±0,008 0.14±0,02

J=7 – peak A 0,60±0,03 0.56±0,03 0.09±0,04 -0.01±0,08

J=7 – peak B 0,96±0,03 0.98±0,03 0.02±0,02 0.15±0,05

J=8 – peak A 0,37±0,03 0.35±0,05 0.11±0,07 -0.04±0,12

J=8 – peak B 1,01±0,03 1.05±0,02 0.05±0,01 0.18±0,03

J=9 – peak A 0,07±0,02 0.02±0,02 0.13±0,07 -0.16±0,09

J=9 – peak B 0,98±0,03 0.99±0,02 0.12±0,02 0.08±0,05

Page 64: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

2.0

1.5

1.0

0.5

0.0

-0.5

-1.0

8642

A

B

Only small change in b2(ph) compared to that for first „Ice fit“:

b2(ph)

Page 65: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

The Icelandic fitb2

(ph)

Page 66: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

All in alla) The vibrational peaks C – G involve almost purely Parallel photodissociation transitionb) The H+ + Br(1/2) formation (peak A) involves decreasing parallel/ increasing perpendicular

photodissociation transition with J´.c) The H + + Br(3/2) formation (peak B) involves increasing parallel/ decreasing perpendicular

photodissociation transition with J´.

This can be compared with the predicted transitions, based on the comparison with HCl as shown on next slides (see also https://notendur.hi.is/~agust/rannsoknir/Crete/HBr%20REMPI%20work-Crete.pptx )

Page 67: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

H* + Br (3/2)H+ + Br -

Ry V/Ion-pair

[ 4P,5s ] 3P0

H* + Br*(1/2)

[ B2S ]..

H + Br**(5s)

H+ + Br (3/2)/Br*(1/2)

HBr+(v+)(3/2,1/2)

E1S+ V/1S+

Peaks C-G:

[22P]1S0,3P0S

S

Page 68: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

H* + Br (3/2)H+ + Br-

Ry V/Ion-pair

[ 4P,5s ] 3P0

H* + Br*(1/2)

[22P]1S0,3P0[ B2S ]..

H + Br**(5s)

H+ + Br*(1/2)

E1S+ V/1S+

Peak A:

S and Pstatesinvolved

Page 69: VMI images –fitting Helgi Rafn Hróðmarsson. The purpose of this fitting procedure is to check whether the assumption that the angular distribution data

H* + Br (3/2)

Ry V/Ion-pair

[ 4P,5s ] 3P0

H* + Br*(1/2)

[ B2S ]..

H + Br**(5s)

H+ + Br(3/2)

H+ + Br-

[22P]1S0,3P0

Peak B:

E1S+ V/1S+

S and Pstatesinvolved