1. H(0), one-color, VMI and slicing images
HBr,
H(0), one-color, VMI and slicing images
KER spectra VMI, H(0) vs J´(=J´´)………………………………………..2-3
Branching ratios………………………………………………………………..4-5
Comments on KER´s …………………………………………………………6
Images, J´= 0 – 9……………………………………………………………….7-8
Prediction calculations……………………………………………………..9-14
Conversion factor improvement……………………………………….12-14
Comparison of conversion factors…………………………………...15
Slice images……………………………………………………………………….16
Angular distributions (VMI)………………………………………………
b2 vs J´ for H* + Br………………………………………………………………20,21
Two color exp……………………………………………………………………..22
Br detection………………………………………………………………………
Br* detection………………………………………………………………………27-39
H detection, J´= 3………………………………………………………………
Updated:

2. I(H*+Br*) I(H*+Br) HBr+*/HBr+
J´=J´´= 9 8 7 6 5 4 3 2 1
KER/eV
…PXP ,pxp; Lay:0; Gr:12; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

3. I(H*+Br*) I(H*+Br) HBr+*/HBr+
J´=J´´= 9 8 7 6 5 4 3 2 1
KER/eV
…PXP a,pxp; Lay:0; Gr:12; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

4. H(0)
I(H*+Br*)/I(H*+Br) J´
…PXP ,pxp; Lay:1; Gr:13

5. I(HBr+/HBr+*)/I(H*+Br)J´
…PXP ,pxp; Lay:2; Gr:14

6. H(0)
Comments:
I(H*+Br) weakest analogous to V(m+i) states near in energy
Shift of H*+Br* and H*+Br peaks with J´
Insignificant shifts of HBr+/HBr+* peaks with J´
I(H*+Br*)/I(H*+Br) for odd J´s larger than for even J´s.
(Slight (?) increase in I(H*+Br*)/I(H*+Br) with J´)
(Slight (?) decrease in I(HBr+/HBr+*)/I(H*+Br) with J´)

7. J =
H(0), one color VMI
J =

8. J =
H(0), one color VMI
J = 9
Comments:
„H*+Br*“ and „HBr+/HBr+*“ seem to be parallel
throughout J´ whereas „H*+Br“ seems to switch
from parallel to perpendicular and back to
parallel as J´ increases.

9. H(0)
Now prediction calculations.

10. I(H*+Br*) I(H*+Br) HBr+*/HBr+
Prediction calculations
J´= J´´= 9 8 7 6 5 4 3 2 1
KER/eV
…PXP a,pxp; Lay:0; Gr:12; <= ……XLS a.xlsx, sheet: „KER I, II“; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

11. I(H*+Br*) I(H*+Br) HBr+*/HBr+
Prediction calculations for
½ <- ½
3/2 <- 3/2
J´= J´´= 9 8 7 6 5 4 3 2 1
KER/eV
…PXP a,pxp; Lay:0; Gr:12; <= ……XLS a.xlsx, sheet: „KER I, II“ and „KER III,IV“; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

12. H(0)
Comments:
Looks like small shift or distortion: could be because the scaling factor (C) in
inaccurate. …..try altering „C“
KER scale calibration improvement:
Pixel -> eV conversion factor = e-5 (instead of e-5)
See definition in figures.

13. I(H*+Br*) I(H*+Br) HBr+*/HBr+
Prediction calculations
J´= J´´= 9 8 7 6 5 4 3 2 1 11 13 9 11
KER/eV
…PXP ,pxp; Lay:0; Gr:12; <= ……XLS a.xlsx, sheet: „KER I, II“ and „KER III,IV“; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

14. I(H*+Br*) I(H*+Br) HBr+*/HBr+
Prediction calculations for
½ <- ½
3/2 <- 3/2
J´= J´´= 9 8 7 6 5 4 3 2 1
v+ = 11 13
v+ = 9 11
KER/eV
…PXP ,pxp; Lay:0; Gr:12; <= ……XLS a.xlsx, sheet: „KER I, II“ and „KER III,IV“; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

15. Comparison of the effects of Scaling factors (C):
predictions
Comparison of the effects of
Scaling factors (C):
C: 2.05 e-5 (from Dimitris)
C: e-5
C: e-5
Definition: C* (pix)2= KER
H(0)
J´= J´´=
predictions
v+ = 13
3/2<-3/2
1/2<-1/2
v+ =
KER/eV
…PXP ,pxp; Lay:3; Gr:15; <= ……XLS a.xlsx, sheet: „KER I, II“ and „KER III,IV“; NB: conversion factor for KER = e-5*(pix)**2 = KER(eV)

16. J =
H(0), one color slicing images, xf´s
J =

17. H(0) H(0) I(H*+Br*) H(0) VMI I(H*+Br) J´= J´´= J´= J´´= q q 9 8 7 6 54 3 2 1
J´= J´´= 9 8 7 6 5 4 3 2 1 q q
…PXP ,pxp; Lay:5; Gr:17;
…PXP ,pxp; Lay:4; Gr:16;

18. H(0) H(0) I(H*+Br*) H(0) VMI J´= J´´= q 9 8 7 6 5 4 3 2 1q
…PXP ,pxp; Lay:5; Gr:17;

19. H(0) HBr+ (top peak) H(0) VMI Fits: J´= J´´= J´= J´´= q 9 9 8 8 7 7 65 4 3 2 1
J´= J´´= 9 8 7 6 5 4 3 2 1 q
…PXP ,pxp; Lay:6; Gr:18;
…PXP ,pxp; Lay:6; Gr:18;

20. One-step analysis using b2 and b4
H(0)
I(HBr+; top peak)
I(H*+Br*)
I(H*+Br)
H(0), VMI
One-step analysis using b2 and b4 b2 J´
…PXP a,pxp; Lay:6; Gr:17; <= XLS xlsx: sheet: „Angle fits“

21. H(0)
Comments:
HBr+(top peak): virtally purely parallel
Beta2 for H*+Br* ca. Constant with J´
Significant alteration in beta2 vs J´for H* +Br

22. Two-color experiments:
H(0)
Two-color experiments:

23. Two color Br-detection:
H(0)
Two color Br-detection:

24. Two color Br-detection:
H(0)
H(0)
Two color Br-detection:
J´= J´´= 2 1
KER(total)/eV
…PXP c,pxp; Lay:0; Gr:1;

25. Two color Br-detection:
H(0)
H(0)
Two color Br-detection:
J´= J´´= 2 1 q
…PXP b,pxp; Lay:0; Gr:42;

26. Two color Br-detection:
H(0)
Two color Br-detection: b2 J´
…PXP b,pxp; Lay:1; Gr:0;

27. Two color Br*-detection:

28. Two color Br*-detection:
H(0)
Two color Br*-detection: 58
J´=J´´ = 2 21
pix
…PXP pxp; Lay:0, Gr:2

29. Two color Br*-detection:
H(0)
Two color Br*-detection:
5.799 eV
J´=J´´ = 2
0.76 eV
KER(total)/eV
…PXP pxp; Lay:1, Gr:3; conversion factor for pix to KER(eV) = 80*(2/3)* e-5*(pix)**2

30. Two color Br*-detection: Prediction calc.:
H(0)
Two color Br*-detection:
Prediction calc.:
H(0) J´ hv
2hv
3hv
E(J´´)
KER(Br(1/2))
cm-1 eV 2
39818,85
79637,7
119456,6
50,07752
45792,53752 5,
…XLS b.xlsx; sheet: „KERb,2hv,Br“
H(0) J´ hv
2hv
3hv
E(J´´)
KER(Br(1/2))
cm-1 eV 2
39818,85
79637,7
119456,6
50,07752
5973,687524 0,
…XLS b.xlsx; sheet: „KERa,hv,Br“
ERGO the two peaks are
Low KER = 1hv excitation followed by dissociation to form H + Br*(1/2)
high KER = 2hv resonance excitation followed by predissociation to form H + Br*(1/2)

31. Two color Br*-detection (1st exp. 140930):
H(0)
Two color Br*-detection (1st exp ):
J´=J´´= 5 4 3 2 1
2hv peak
1hv peak
pix
…PXP pxp; Lay:2, Gr:4

32. Two color Br*-detection: („2nd experiment“, 141001) J´=J´´= 1hv peak9 8 7 6 5 4 3 2 1
1hv peak
2hv peak
pix
…PXP pxp; Lay:3, Gr:5

33. Comment:
The relative intensities of the 2hv vs. 1hv peak is not reproducable, whereas the overall trend of I(1hv) > I(2hv) seems to hold.

34. Clearly the center (675.5 535)is not good enough
Two color Br*-detection (1st exp ), lower KER peak/“1hv peak“ (near 0.76 eV):
J´=J´´= 5 4 3 2 1 q
Clearly the center ( )is not good enough
Try (675, 537), which Pavle was using
…PXP e.pxp; Lay:0, Gr:1

35. The center (675.5 535)is not good enough
Two color Br*-detection (1st exp ), higher KER peak/“2hv peak“ (near 5.8 eV):
J´=J´´= 5 4 3 2 1 q
The center ( )is not good enough
Try (675, 537), which Pavle was using
…PXP d.pxp; Lay:0, Gr:2

36. Two color Br*-detection (1st exp. 140930),
H(0)
Two color Br*-detection (1st exp ),
1hv b2
2hv J´
…PXP d.pxp; Lay:?, Gr:?

37. Above processing is limited due to inaccurate center used in the angular distribution
Process. Nevertheless the overall picture is clear, i.e.:
1hv peak: virtually purely parallel, corresponding to S -> S transition
2hv peak: perpendicular 2hv-transition, i.e. S -> P -> S
We will now process
H(0), 2 color, Br* detection, 2nd exp. data,
-which shows stronger signals than the 1st exp.
-by using the center:
NB: USE: beta2, beta4 AND beta6:

38. H(0) J´=J´´= J´= J´´= 2hv peak 1hv peak q q
Two color Br*-detection (2nd exp ):
J´=J´´= 9 8 7 6 5 4 3 2 1
J´=
J´´= 9 8 7 6 5 4 3 2 1
2hv peak
1hv peak q q
…PXP a.pxp; Lay:6, Gr:6
…PXP a.pxp; Lay:5, Gr:7

39. H(0)
Two color Br*-detection (2nd exp ), (NB: for beta2,beta4 and beta6 fit)
1hv b2
2hv J´
…PXP a.pxp; Lay:4, Gr:8

40. Two color H-detection:

41. H(0) Only very small difference KER(total) eV
Two color exp. H-detection (set1):
Two-color, 1) nm (HBr resonance excitation)
2) nm H resonance excitation,
Only very small
difference
H detection, one color, nm
(J´´=3->->J´=3 resonance)
H detection, one color,
nm (H->->H* resonance)
KER(total) eV
…PXP f.pxp; Lay:0, Gr:1