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Comparison of different VMI fitting
formulas/proceduresHRH – 29/7/14
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• This is a comparison between different fitting procedures of anisotopy parameters for peaks D & G in the E(0) state of HBr.
• 1) I=1+b2P2(cosq)
• 2) I=(1+b2fP2(cos ))q (1+b2phP2(cosq)+b4phP4(cosq)), b2f=-0,621
• 3) I =(1+b2fP2(cos ))q (1+b2phP2(cosq)+b4phP4(cosq)), b2ph=2
• 4) I=(1+b2fP2(cosq)+b4P4f(cosq)) (1+b2phP2(cosq)+b4P4ph(cosq)), b2f=-0,621
• 5) I=(1+b2fP2(cosq)+b4P4f(cosq)) (1+b2phP2(cosq)+b4P4ph(cosq)), b2ph=2
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Peak D – fit 1
I=1+b2P2(cosq)
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Peak G – fit 1
I=1+b2P2(cosq)
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• As we can see from the first fitting formula, the fit is okay for the low J‘s, namely J‘=1, 2. However, the fit gets progressively worse with increasing J‘s. We can assume that the fitting formula may therefore be alright for transitions that are solely parallel in character, but with perpendicular increments in the nature of the transition, the fit gets worse.
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J‘ b2 (Peak D) Db2 b2 (Peak G) Db2
1 1,736 0,0438 1,4957 0,06212 1,7794 0,0686 1,3848 0,0443 1,285 0,121 0,95699 0,09854 1,3288 0,0596 0,75156 0,0835 1,3399 0,163 0,96959 0,07296 1,3663 0,108 0,86906 0,1047 1,1234 0,114 0,82279 0,1258 1,264 0,115 0,93651 0,1039 0,94178 0,128 0,82183 0,104
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Peak D – fit 2
I=(1+b2fP2(cos ))q (1+b2phP2(cosq)+b4phP4(cosq)), b2f=-0,621
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• Nota bene: The „f“ & „ph“ labellings were accidentally switched in the figures.
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Peak G – fit 2
I=(1+b2fP2(cos ))q (1+b2phP2(cosq)+b4phP4(cosq)), b2f=-0,621
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• As opposed to the first fit. This fit crumbles a bit for J‘=1,2. However, for the the higher J‘s, the fit becomes progressively better, again, as opposed to the first fit. However, in almost all cases for the D peak, the b2
ph parameter, had to be held constant at 2, so the fits may potentially be better if the b2
f parameter would be a little higher, e.g. -0,5.• Therefore, a second fitting procedure with the same formula is
performed, only the b2ph parameter is held constant at 2, while the b2
f parameter is fitted for in order to asses uncertainties in the b2
f parameter.
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J‘ b2ph(D) Db2
ph b2ph(G) Db2
ph b4ph(D) Db4
ph b4ph(G) Db4
ph
1 2 0,4 2 0,3 0,66733 0,0921 0,80455 0,09572 2 0,5 2 0,2 0,85066 0,104 0,76978 0,07383 2 0,1 1,8209 0,0466 0,38389 0,0782 0,19826 0,05714 2 0,1 1,6595 0,0778 0,65814 0,05 0,31288 0,09425 2 0,2 1,8662 0,0564 0,61404 0,133 0,48108 0,06656 2 0,2 1,7319 0,0777 0,69863 0,107 0,20313 0,09657 1,9693 0,09 1,6239 0,0601 0,65144 0,106 -0,07881 0,07988 2 0,1 1,7294 0,0575 1,0183 0,105 0,093789 0,0759 1,8054 0,114 1,7059 0,112 0,78424 0,143 0,40065 0,135
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Peak D – fit 3
I =(1+b2fP2(cos ))q (1+b2phP2(cosq)+b4phP4(cosq)), b2ph=2
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Peak G – fit 3
I =(1+b2fP2(cos ))q (1+b2phP2(cosq)+b4phP4(cosq)), b2ph=2
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• The fits for the D peak give rather promising results. It may be indicative of a „true“ parallel nature of the D peak, where the b2
ph parameter is held constant at 2. Also, this supports the theory that b2
f
may be a bit higher than -0.621.• The fits for the G peak, are good for the low J‘s (where the G peak
exhibits the greatest paralell nature), but they get worse for higher J‘s, which stands to reason because the G peak exhibits a greater blend of a parallel and perpendicular transition with increasing J‘s, which has already been established.
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J‘ b2f (D) Db2
f b2f(G) Db2
f b4ph(D) Db4
ph b4ph(G) Db4
ph
1 -0,28962 0,0329 -0,38481 0,0483 0,27967 0,0558 0,50603 0,09692 -0,27523 0,0495 -0,46083 0,0333 0,39473 0,0866 0,55499 0,07393 -0,51094 0,0481 -0,67907 0,0263 0,17107 0,121 0,35664 0,0794 -0,53672 0,0228 -0,67928 0,0429 0,52906 0,0559 0,51031 0,1455 -0,51832 0,0782 -0,55389 0,0904 0,42582 0,201 0,55389 0,09046 -0,48471 0,0634 -0,68386 0,044 0,50461 0,145 0,39142 0,1337 -0,63412 0,0436 -0,78454 0,0323 0,68301 0,124 0,32558 0,09638 -0,5415 0,046 -0,71418 0,0364 0,8816 0,135 0,33409 0,09969 -0,68071 0,0485 -0,61516 0,0681 0,94286 0,151 0,46706 0,205
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• The average of the fitted values for b2f is -0.50±0.14(standard
deviation). The previously calculated REMPI value of b2f is -0.621, so it
falls just inside the standard deviation of the fitted values. • Using the value of b2
f is -0.621 is therefore totally justifiable for the next fitting procedures where the b4
f parameter is added to increase the quality of the fits themselves.
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Peak D – fit 4
I=(1+b2fP2(cosq)+b4P4f(cosq)) (1+b2phP2(cosq)+b4P4ph(cosq)), b2f=-0,621
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Peak G – fit 4
I=(1+b2fP2(cosq)+b4P4f(cosq)) (1+b2phP2(cosq)+b4P4ph(cosq)), b2f=-0,621
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• As expected, upon addition of the b4f parameter, the fits have
become exemplary. As before, the D peak exhibits a very pure parallel nature, while the G peak becomes more blended with increasing J‘s.• To exemplify the justification of the the value of the REMPI calculated
b2f parameter, a last fitting procedure is performed, where the b2
ph
parameter is held constant at 2, in order to assess the b2f parameter,
and compare with the results from fitting procedure #3.
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J‘ b2ph(D) Db2
ph b2ph(G) Db2
ph b4ph (D) Db4
ph b4ph(G) Db4
ph b4f (D) Db4
f b4f (G) Db4
f
1 2 0,3 2,0033 0,0574 0,31722 0,0944 0,3315 0,0975 0,2231 0,0431 0,2423 0,0379
2 2 0,4 1,9815 0,0465 0,42925 0,115 0,40623 0,078 0,2107 0,0434 0,18096 0,0291
3 2,0581 0,0821 1,7373 0,0559 0,22512 0,132 0,004815 0,0978 0,071208 0,0404 0,086301 0,0384
4 2 0,1 1,3865 0,0814 0,52362 0,0612 -0,32186 0,162 0,066419 0,021 0,29685 0,0819
5 2 0,1 1,7627 0,0661 0,44456 0,193 0,24716 0,112 0,070767 0,0576 0,08921 0,0376
6 2,0174 0,109 1,4352 0,0859 0,4414 0,179 -0,50398 0,169 0,13451 0,0639 0,35508 0,094
7 1,9663 0,109 1,5345 0,0765 0,64474 0,173 -0,29621 0,144 0,002815 0,0555 0,12284 0,0732
8 1,9921 0,112 1,5614 0,0583 0,81411 0,174 -0,30951 0,111 0,076525 0,0458 0,23343 0,0582
9 1,7519 0,142 1,2646 0,0888 0,6697 0,234 -0,66099 0,186 0,052254 0,0822 0,56668 0,127
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Peak D – fit 5
I=(1+b2fP2(cosq)+b4P4f(cosq)) (1+b2phP2(cosq)+b4P4ph(cosq)), b2ph=2
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Peak G – fit 5
I=(1+b2fP2(cosq)+b4P4f(cosq)) (1+b2phP2(cosq)+b4P4ph(cosq)), b2ph=2
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• Again, the fits are very good although the assumption that b2ph =2, is
not a very good assessment for all the J‘s in peak G. We will thusly calculate the average of the fitted values of the b2
f parameter, solely from the D peak, as we did with the results from the 3rd fitting procedure.
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J‘ b2f (D) Db2
f b2f (G) Db2
f b4f (D) Db4
f b4f(G) Db4
f b4ph (D) Db4
ph b4ph(G) Db4
ph
1 -0,21128 0,00491 -0,5899 0,0533 -0,10205 0,0461 0,22174 0,0464 0,3507 0,0624 0,33117 0,0763
2 -0,14125 0,0786 -0,6153 0,0421 -0,1568 0,0648 0,16884 0,0383 0,53006 0,0968 0,42822 0,061
3 -0,57352 0,0822 -0,81928 0,0391 0,056482 0,066 0,15737 0,0392 0,15732 0,117 0,28638 0,0611
4 -0,52464 0,0451 -1,0146 0,0387 -0,0134 0,0423 0,33497 0,0374 0,53768 0,0628 0,35472 0,0686
5 -0,50259 0,159 -0,79558 0,047 -0,01483 0,132 0,15652 0,0432 0,43238 0,218 0,46425 0,0741
6 -0,60582 0,1 -0,93997 0,051 0,12935 0,0918 0,28921 0,052 0,4244 0,144 0,24457 0,0849
7 -0,65523 0,0924 -0,93937 0,0442 0,02394 0,0933 0,21515 0,0538 0,66815 0,138 0,23746 0,0722
8 -0,61602 0,0954 -0,92887 0,0345 0,070867 0,0814 0,28525 0,0401 0,82272 0,146 0,21492 0,0559
9 -0,83022 0,0903 -1 0,1 0,17213 0,0967 0,38531 0,0264 0,82612 0,153 0,25587 0,09
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• The averaged values of the fitted b2f values give -0,52±0.20, i.e. similar
results as from the 3rd fitting, only with a larger standard deviation. We can therefore conclude that the use of the REMPI calculated value of b2
f =-0.621 is justifiable in the fits including b4f for improved fitting
curves.