-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathresollution test na.nb
11269 lines (11240 loc) · 657 KB
/
resollution test na.nb
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
(* Content-type: application/vnd.wolfram.mathematica *)
(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)
(* CreatedBy='Mathematica 11.3' *)
(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[ 158, 7]
NotebookDataLength[ 673025, 11261]
NotebookOptionsPosition[ 670946, 11220]
NotebookOutlinePosition[ 671289, 11235]
CellTagsIndexPosition[ 671246, 11232]
WindowFrame->Normal*)
(* Beginning of Notebook Content *)
Notebook[{
Cell[BoxData[
RowBox[{"ClearAll", "[", "\"\<Global`*\>\"", "]"}]], "Input",
CellLabel->"In[89]:=",ExpressionUUID->"d043341b-4e9c-4c74-9c8d-21ef8e2d6def"],
Cell[BoxData[
RowBox[{
RowBox[{"na1", "=",
RowBox[{
"Import", "[",
"\"\<D:\\\\Dropbox\\\\@Droplet\\\\DATA\\\\resolution \
test\\\\data\\\\na-res-window.tiff\>\"", "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.825641136424471*^9, 3.8256411954067984`*^9}, {
3.825644467871973*^9, 3.825644489183779*^9}, {3.825644781275583*^9,
3.825644781385524*^9}, {3.825644907496482*^9, 3.8256449075822544`*^9}, {
3.825645481853857*^9, 3.8256454883212094`*^9}},
CellLabel->"In[90]:=",ExpressionUUID->"478f0cc5-8161-4b9a-88af-7c70254c8f40"],
Cell[BoxData[
RowBox[{
RowBox[{"na1data", "=",
RowBox[{"N", "@",
RowBox[{"ImageData", "[",
RowBox[{"na1", ",", "\"\<Byte\>\""}], "]"}]}]}], ";"}]], "Input",
CellChangeTimes->{{3.8256413177455697`*^9, 3.825641370663966*^9}, {
3.82564449094502*^9, 3.825644491854535*^9}, {3.825644563966054*^9,
3.8256445648016844`*^9}, {3.825645491772132*^9, 3.8256454946746855`*^9}},
CellLabel->"In[91]:=",ExpressionUUID->"bec5a85a-24d7-4897-84a6-adab099c738c"],
Cell[BoxData[{
RowBox[{
RowBox[{"peak", "=",
RowBox[{"Max", "@", "na1data"}]}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{
RowBox[{"{",
RowBox[{"xc", ",", "yc"}], "}"}], "=",
RowBox[{"First", "@",
RowBox[{"Position", "[",
RowBox[{"na1data", ",", "peak"}], "]"}]}]}], ";"}]}], "Input",
CellChangeTimes->{{3.82564144223015*^9, 3.825641461341833*^9}, {
3.825644499222604*^9, 3.825644504071119*^9}, {3.8256454978000135`*^9,
3.825645500630372*^9}},
CellLabel->"In[92]:=",ExpressionUUID->"482d2917-bc3e-425e-b7cf-63a0e5af23b8"],
Cell[CellGroupData[{
Cell[BoxData[{
RowBox[{
RowBox[{"xsize", "=", "50"}], ";",
RowBox[{"ysize", "=", "50"}], ";"}], "\[IndentingNewLine]",
RowBox[{
RowBox[{"IMGDATA3", "=",
RowBox[{"na1data", "[",
RowBox[{"[",
RowBox[{
RowBox[{
RowBox[{"xc", "-", "xsize"}], ";;",
RowBox[{"xc", "+", "xsize"}]}], ",",
RowBox[{
RowBox[{"yc", "-", "ysize"}], ";;",
RowBox[{"yc", "+", "ysize"}]}]}], "]"}], "]"}]}],
";"}], "\[IndentingNewLine]",
RowBox[{"IMG3", "=",
RowBox[{"Colorize", "[",
RowBox[{
RowBox[{"ImageAdjust", "@",
RowBox[{"Image", "[", "IMGDATA3", "]"}]}], ",",
RowBox[{"ColorFunction", "\[Rule]", "\"\<Temperature\>\""}]}],
"]"}]}]}], "Input",
CellChangeTimes->{{3.825641482518753*^9, 3.8256414857475343`*^9}, {
3.8256445709684076`*^9, 3.825644571865971*^9}, {3.825645504313205*^9,
3.825645504771998*^9}},
CellLabel->"In[94]:=",ExpressionUUID->"4f73bfbe-6fbf-46bc-930b-400cfa4de94e"],
Cell[BoxData[
GraphicsBox[
TagBox[RasterBox[CompressedData["
1:eJztmt9vFFUUx4m++Oi/oI8+7KZKEGJERQ1qtFgQJYQgBUtBpGghENTUH6gE
oiIxKgaJGh8IAY1RXzTig4mJbxoUCQlUeVBMIHR3u6W2nW38br54OL3nznRo
a2ZmucnXzXScWeZ+8j3nfu+dvWH1psVrr5k1a9bm6/CxuHPbXb29nduXXI8/
lvZsXt/d0/XE/T1burq7eueuvhYnuy791zwutV8ICgoKCgoKCgoKCgoKCgoK
CgoKCgoKCgoKCgoKCgoKCgqaWZUfbkqOnYP0X5L5QP5vSvbPK8LV8oicwTpw
eEY0Tf4tKWsqjW7KEOLuagGkDhlrLa/3Ekw4HYsWSBZXHKi2Dvcgzopx8FtA
3iHHmQqgRLcsuXRguVmbtRIup47ibGOhgZgDzTrTuT3z8c4gqzSzpIYGVrOX
NkVucVXs3Jj5qKePy6LQhokrTMGlidle5/xzmY96+rgcCI4IZM5jA/gkBN6L
Y57n/2JhJhu1uMRsy5Lhz102MG9585MHt60YmP/4wJ2dTeEY18gtQERckO1j
4rHWwFWaGBswXvABkNtXXhYQLVw38NCmyiNbKx29lQc3VhasacKRW4g3zmDO
7FlcYo61WHRgBT7wEiS4wGrF89Xu16obd9e6Xqk+um0CMTGkdDCNSI4zH+8M
EhNrkQ+EA5QhOADgA081cT39Zm3nx/UdBwZ7Xq/BabgAt+BLvAbTHmsNXE57
55ABAc4hLrYjEIDTUIbAtedgfd9nQyS26JkKeIrBBJekMjtFFgta2Rc7JQ9g
sBg+cd3d1ZR0dVwDYsu2V7fsrb17ZGj/50Ovflhf2VfFlTQYLtAN39vzy4UK
+TZcOUmA7gIWlN6SLZXlzzZ7FBo7oHHssByIbX9nEB7b/UkdfQw9DbfwO6Ue
hZU3VGTOISUrr3TboWAYUEKtse72HhoCFkBjlYHYqheqW9+uvbh/sHdPDVfC
jYTAr9K9K8FdOZeepLQwOsYqzmsY731PVjbsqh36dvj0n1GlPnah1jjePwZo
8BWvuXftwJqXq2AFpDgJgPieUvtlo3q7vcWVW3pxiR1/srejAAGN9kB9odB+
/yuKohON6I1G1Dve+PJ8tfHRVxfpJQhNHsSQKIBLty/2QOuuUu4XjDZICytZ
4tFasAeGDIMRFxLCgS8u1oeHouF1Zw/PP/PWvPNHF4xHH5yrNJAiAApsYTBc
hlaPFod78T0lldy81irlLJ3GLTSc6U/qhZ0KVsEMiOEDAq9BYDj83fDI2Lmh
M+2n++b8fONNJ7tvxnEU9X/94z/rd9aQ8HE9uIEYPolLTxzeLZ1SnqrPPphd
hui0QFaMDRg+BFwcJro63TVaXdW/49bfFpVPbZ1dO74win49dmoM0yIQARda
HMoWn7iR7ir9V49ea+UWl53+NC5ZMvMAlYixA5csanDw3HuD6PPjjSODJxb+
/ekdF364pzG6YWT0/Pc/jaDDw340JFjhRlZxqf2yh+N2C/NAyWun8sSFrYR2
ZgYMUMTlMxyFT9DDlTiJ9Q5mxmp9dLxxtBHta0S7oujkH2cjpFN0eFBi7Mcn
rIXv5MxId+U2P9hmZXHpXWKpRNlwwGAxZOJCNAUBRgWcQUg4+M3Fk2fGMCei
yf9yegwzI06iAHEXUXNRqTdzNC77kJkrLnzafOW4S3BBggv1hZO8AGdgJKwN
kbiw6ul7f7DzpSpZyfcw3Iq1xMb5zFdpersOWowNbFmy7QChEYEVULAkcUZW
jjiJqADhAvyJe3UU4SSonyH/+1qTuksG6LiLzYcCJSGG1gSADK6CV8joTOIY
ye5rZc4qZb+yoVRvKUPcSZaOzZkOrBASIEJjj3K2lLVdnR5lX2QkPHyGXkr2
lU6nQkyKkcR0SSInoPrwyW5GaHoNrleF+qnsHmBOijE9LhvjJXfp9kVuEj6B
C8tDfNJpOA+Y3DCUxbjTtXKVGdIT81pLb2eRla5HMRirUojxRQaJ0Wm4QMKD
WKtk1hRyMnNK+kl0CTg7vU6Tl8YlvYvuYpDQJcmqlD4GXOz/wEWDSdv3PlJu
lTJx2WmRrCiNSxPjyojcuKCWuZJZIhlO3tB5KSWnCCdIaGIaF9c18gZWjCdv
hRxWeSOT3lpOinA6mG5f2mMS7/lukWT4hpGfkr70K9fMCUwfWhwu7kHZLCFN
zELjn5wRZLFTXFzp3RXXwXTbd7hJnZIVQTlv80sFKcM4XHZNrd0VN0t6pR0l
Lw2dXz5kTmBquNrMm2LLyvvTI6c2dWLX0V3/5qGIrLxBOtlm9sdaXmgOKGlW
XncVkZsNErYGU+LSP2nT3Dgh6t7VZnaVM0dxpaDaOmKt5XQt2XixoJx1pUhX
q/3xQ+Y0pgZN97G4YtTE4ipR+Di/HtRTpN3Xyr/ieldC+9KUHFZ2ftTby/an
NcWylpeYdZfMjHozJw6XYy0NyjtFlorQuDSrOGjJM2NCGTqInNBVxD6fbDDb
/20Asx6zlkugVFxWjtPKahPMm1qdtu+gcyKWpVRoRAno0iyO2jo8cLxGamFW
XmIp41kyLodb0dHpzu+MKHn45fitRacBWm6FU/JjTwoqTWaLM17mY58mNzuE
NKZyLDSpisvKeXJvh5mCl2zz94auoit9j/K2ppS+ahlcCdyuCEuaUNF6iiOW
wM2ZJeMotSqxZG6TRqyrB1ECLtvKroZamxFi5YmLzcyfM88KlIKCgoKCgoKC
gvKvwuXVfwHc3zy0
"], {{0, 101}, {101, 0}}, {0, 255},
ColorFunction->RGBColor],
BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
Selectable->False],
DefaultBaseStyle->"ImageGraphics",
ImageSize->{319., Automatic},
ImageSizeRaw->{101, 101},
PlotRange->{{0, 101}, {0, 101}}]], "Output",
CellChangeTimes->{3.825641491924905*^9, 3.8256445732967763`*^9,
3.8256447890523243`*^9, 3.82564491690926*^9, 3.8256455061335473`*^9},
CellLabel->"Out[96]=",ExpressionUUID->"d8d599b4-3ecf-4c2b-ac18-b8f35ba3062a"]
}, Open ]],
Cell[BoxData[
RowBox[{
RowBox[{"DataFit", "=",
RowBox[{"Partition", "[",
RowBox[{
RowBox[{"Flatten", "@",
RowBox[{"Table", "[",
RowBox[{
RowBox[{"{",
RowBox[{"x", ",", "y", ",",
RowBox[{"IMGDATA3", "[",
RowBox[{"[",
RowBox[{"x", ",", "y"}], "]"}], "]"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"x", ",", "1", ",",
RowBox[{
RowBox[{"2", "*", "xsize"}], "+", "1"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"y", ",", "1", ",",
RowBox[{
RowBox[{"2", "*", "ysize"}], "+", "1"}]}], "}"}]}], "]"}]}], ",",
"3"}], "]"}]}], ";"}]], "Input",
CellChangeTimes->{{3.825641769857415*^9, 3.825641780881607*^9}, {
3.8256418526419673`*^9, 3.8256418649877014`*^9}, {3.8256421365541105`*^9,
3.82564216244178*^9}, {3.8256431931256027`*^9, 3.825643211920969*^9}, {
3.8256432507764835`*^9, 3.8256433816457443`*^9}},
CellLabel->"In[97]:=",ExpressionUUID->"41f29793-2ff4-4c83-85a8-f7c1010cc15a"],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"fit", "=",
RowBox[{"FindFit", "[",
RowBox[{"DataFit", ",",
RowBox[{"c", "+",
RowBox[{"a", "*",
RowBox[{"If", "[",
RowBox[{
RowBox[{
RowBox[{"x", "\[Equal]", "xcen"}], "&&",
RowBox[{"y", "\[Equal]", "ycen"}]}], ",", "1", ",",
RowBox[{
SuperscriptBox[
RowBox[{"(",
RowBox[{"2",
RowBox[{"BesselJ", "[",
RowBox[{"1", ",",
RowBox[{"k",
SqrtBox[
RowBox[{
SuperscriptBox[
RowBox[{"(",
RowBox[{"x", "-", "xcen"}], ")"}], "2"], "+",
SuperscriptBox[
RowBox[{"(",
RowBox[{"y", "-", "ycen"}], ")"}], "2"]}]]}]}], "]"}]}],
")"}], "2"], "/",
RowBox[{"(",
RowBox[{
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"(",
RowBox[{"x", "-", "xcen"}], ")"}], "2"], "+",
SuperscriptBox[
RowBox[{"(",
RowBox[{"y", "-", "ycen"}], ")"}], "2"]}], ")"}],
SuperscriptBox["k", "2"]}], ")"}]}]}], "]"}]}]}], ",",
RowBox[{"{",
RowBox[{
RowBox[{"{",
RowBox[{"c", ",", "0"}], "}"}], ",",
RowBox[{"{",
RowBox[{"a", ",", "peak"}], "}"}], ",",
RowBox[{"{",
RowBox[{"k", ",", "0.1"}], "}"}], ",",
RowBox[{"{",
RowBox[{"xcen", ",", "xsize"}], "}"}], ",",
RowBox[{"{",
RowBox[{"ycen", ",", "ysize"}], "}"}]}], "}"}], ",",
RowBox[{"{",
RowBox[{"x", ",", "y"}], "}"}]}], "]"}]}]], "Input",
CellChangeTimes->{{3.825643469470949*^9, 3.825643504318359*^9}, {
3.8256435433344316`*^9, 3.8256435434644065`*^9}},
CellLabel->"In[98]:=",ExpressionUUID->"be95396b-59ba-4ad7-b706-68a8b6e9f696"],
Cell[BoxData[
RowBox[{"{",
RowBox[{
RowBox[{"c", "\[Rule]", "0.8099662740210868`"}], ",",
RowBox[{"a", "\[Rule]", "237.10006867253173`"}], ",",
RowBox[{"k", "\[Rule]", "0.5194550152250558`"}], ",",
RowBox[{"xcen", "\[Rule]", "51.50878870011848`"}], ",",
RowBox[{"ycen", "\[Rule]", "51.06455555498654`"}]}], "}"}]], "Output",
CellChangeTimes->{3.8256436000388775`*^9, 3.8256446337635293`*^9,
3.8256448588819675`*^9, 3.8256449781462584`*^9, 3.825645547268537*^9},
CellLabel->"Out[98]=",ExpressionUUID->"91e321c3-ed2c-4774-9df3-6eb538ef2891"]
}, Open ]],
Cell[CellGroupData[{
Cell[BoxData[
RowBox[{"Show", "[",
RowBox[{
RowBox[{"Plot3D", "[",
RowBox[{
RowBox[{
RowBox[{"c", "+",
RowBox[{"a", "*",
RowBox[{"If", "[",
RowBox[{
RowBox[{
RowBox[{"x", "\[Equal]", "xcen"}], "&&",
RowBox[{"y", "\[Equal]", "ycen"}]}], ",", "1", ",",
RowBox[{
SuperscriptBox[
RowBox[{"(",
RowBox[{"2",
RowBox[{"BesselJ", "[",
RowBox[{"1", ",",
RowBox[{"k",
SqrtBox[
RowBox[{
SuperscriptBox[
RowBox[{"(",
RowBox[{"x", "-", "xcen"}], ")"}], "2"], "+",
SuperscriptBox[
RowBox[{"(",
RowBox[{"y", "-", "ycen"}], ")"}], "2"]}]]}]}], "]"}]}],
")"}], "2"], "/",
RowBox[{"(",
RowBox[{
RowBox[{"(",
RowBox[{
SuperscriptBox[
RowBox[{"(",
RowBox[{"x", "-", "xcen"}], ")"}], "2"], "+",
SuperscriptBox[
RowBox[{"(",
RowBox[{"y", "-", "ycen"}], ")"}], "2"]}], ")"}],
SuperscriptBox["k", "2"]}], ")"}]}]}], "]"}]}]}], "/.", "fit"}],
",",
RowBox[{"{",
RowBox[{"x", ",", "0", ",", "100"}], "}"}], ",",
RowBox[{"{",
RowBox[{"y", ",", "0", ",", "100"}], "}"}], ",",
RowBox[{"PlotRange", "\[Rule]", "All"}], ",",
RowBox[{"PlotPoints", "\[Rule]", "50"}]}], "]"}], ",",
RowBox[{"ListPointPlot3D", "[",
RowBox[{"DataFit", ",",
RowBox[{"PlotStyle", "\[Rule]",
RowBox[{"Directive", "[",
RowBox[{
RowBox[{"PointSize", "[", "Medium", "]"}], ",", "Red"}], "]"}]}]}],
"]"}]}], "]"}]], "Input",
CellChangeTimes->{{3.8256436447191505`*^9, 3.8256436691789036`*^9}, {
3.825643738583618*^9, 3.8256437462622766`*^9}},
CellLabel->"In[99]:=",ExpressionUUID->"471df126-7597-492e-9e23-e5a2e3dcedb2"],
Cell[BoxData[
Graphics3DBox[{GraphicsComplex3DBox[CompressedData["
1:eJxM3XlUjV0fxvGiNNJklgYhKSkNhFRSimZJoTRoIJGEJEVkKFEpUjIVKYlK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