#!/usr/bin/env gnuplot

set terminal pdf enhanced
set output 'c1c1f01/divide_power.pdf'
set xlabel 'Measurement Location (top to bottom) [-]' 
set ylabel 'Detector Signal [-]'
set style line 1 lt 1 lc rgb "red" lw 2
set style line 2 lt 2 lc rgb "blue" lw 2
set style line 3 lt 3 lc rgb "forest-green" lw 2
set style line 4 lt 4 lc rgb "magenta" lw 2
set style line 5 lt 5 lc rgb "dark-orange" lw 2
set style line 6 lt 6 lc rgb "royalblue" lw 2
set style line 7 lt 7 lc rgb "black" lw 2
set style line 8 lt 8 lc rgb "dark-red" lw 2
set style line 9 lt 9 lc rgb "orange-red" lw 2
set style line 10 lt 10 lc rgb "gray" lw 3
plot \
'-' using 1:2 with lines ls 1 title 'Detector 1',\
'-' using 1:2 with lines ls 2 title 'Detector 2',\
'-' using 1:2 with lines ls 3 title 'Detector 3',\
'-' using 1:2 with lines ls 4 title 'Detector 4',\
'-' using 1:2 with lines ls 5 title 'Detector 6',\
'-' using 1:2 with lines ls 6 title 'Detector 4'
1.0 0.00144
2.0 0.00156
3.0 0.0022
4.0 0.00272
5.0 0.00344
6.0 0.00384
7.0 0.00432
8.0 0.00484
9.0 0.00556
10.0 0.00624
11.0 0.0068
12.0 0.0074
13.0 0.00796
14.0 0.00848
15.0 0.009
16.0 0.00924
17.0 0.00964
18.0 0.01048
19.0 0.01076
20.0 0.01116
21.0 0.01152
22.0 0.01192
23.0 0.01216
24.0 0.01236
25.0 0.0122
26.0 0.01252
27.0 0.01292
28.0 0.01316
29.0 0.01328
30.0 0.01332
31.0 0.0134
32.0 0.0134
33.0 0.01312
34.0 0.0128
35.0 0.01304
36.0 0.01312
37.0 0.01304
38.0 0.01288
39.0 0.01268
40.0 0.01244
41.0 0.01212
42.0 0.01148
43.0 0.01112
44.0 0.01104
45.0 0.01076
46.0 0.01036
47.0 0.00996
48.0 0.00944
49.0 0.00904
50.0 0.00852
51.0 0.00776
52.0 0.00724
53.0 0.00668
54.0 0.00636
55.0 0.00576
56.0 0.00516
57.0 0.00444
58.0 0.0036
59.0 0.00312
60.0 0.0024
61.0 0.00188
e
1.0 0.00143442622951
2.0 0.00143442622951
3.0 0.00172131147541
4.0 0.0022131147541
5.0 0.00282786885246
6.0 0.00348360655738
7.0 0.00401639344262
8.0 0.00446721311475
9.0 0.00504098360656
10.0 0.00581967213115
11.0 0.00647540983607
12.0 0.00700819672131
13.0 0.00758196721311
14.0 0.00840163934426
15.0 0.00856557377049
16.0 0.00893442622951
17.0 0.00909836065574
18.0 0.0097131147541
19.0 0.0102459016393
20.0 0.0106967213115
21.0 0.0110655737705
22.0 0.0114344262295
23.0 0.0117213114754
24.0 0.0120081967213
25.0 0.0120081967213
26.0 0.0119672131148
27.0 0.0124180327869
28.0 0.0126639344262
29.0 0.0128278688525
30.0 0.0129508196721
31.0 0.0130327868852
32.0 0.0130737704918
33.0 0.0130327868852
34.0 0.0126229508197
35.0 0.0125409836066
36.0 0.0127459016393
37.0 0.0127868852459
38.0 0.0126639344262
39.0 0.0125
40.0 0.0122540983607
41.0 0.0120081967213
42.0 0.0114754098361
43.0 0.0109016393443
44.0 0.0107786885246
45.0 0.0105327868852
46.0 0.0102459016393
47.0 0.00987704918033
48.0 0.0094262295082
49.0 0.00905737704918
50.0 0.00856557377049
51.0 0.00790983606557
52.0 0.00725409836066
53.0 0.0069262295082
54.0 0.00647540983607
55.0 0.00594262295082
56.0 0.00532786885246
57.0 0.00475409836066
58.0 0.00418032786885
59.0 0.00356557377049
60.0 0.00290983606557
61.0 0.00229508196721
e
1.0 0.00193548387097
2.0 0.0020564516129
3.0 0.00254032258065
4.0 0.0033064516129
5.0 0.00415322580645
6.0 0.00512096774194
7.0 0.00592741935484
8.0 0.00653225806452
9.0 0.00745967741935
10.0 0.00838709677419
11.0 0.00935483870968
12.0 0.0100806451613
13.0 0.0108064516129
14.0 0.0115322580645
15.0 0.0122177419355
16.0 0.0126612903226
17.0 0.013064516129
18.0 0.0139919354839
19.0 0.0146774193548
20.0 0.0152822580645
21.0 0.0158467741935
22.0 0.0163306451613
23.0 0.0167338709677
24.0 0.0170967741935
25.0 0.0168951612903
26.0 0.0172177419355
27.0 0.0177822580645
28.0 0.0181048387097
29.0 0.0182661290323
30.0 0.0184274193548
31.0 0.0184677419355
32.0 0.0184677419355
33.0 0.0183064516129
34.0 0.0176612903226
35.0 0.0179032258065
36.0 0.0181048387097
37.0 0.0180241935484
38.0 0.0178629032258
39.0 0.0175403225806
40.0 0.0171370967742
41.0 0.0167741935484
42.0 0.0159677419355
43.0 0.0153629032258
44.0 0.0152016129032
45.0 0.0148790322581
46.0 0.0143951612903
47.0 0.0137096774194
48.0 0.013185483871
49.0 0.0126209677419
50.0 0.0118951612903
51.0 0.0108064516129
52.0 0.0101209677419
53.0 0.00959677419355
54.0 0.00887096774194
55.0 0.00814516129032
56.0 0.00725806451613
57.0 0.00649193548387
58.0 0.00560483870968
59.0 0.00475806451613
60.0 0.00383064516129
61.0 0.00282258064516
e
1.0 0.00161290322581
2.0 0.00177419354839
3.0 0.00221774193548
4.0 0.00282258064516
5.0 0.00358870967742
6.0 0.00427419354839
7.0 0.00483870967742
8.0 0.00532258064516
9.0 0.00620967741935
10.0 0.00721774193548
11.0 0.00762096774194
12.0 0.00810483870968
13.0 0.00866935483871
14.0 0.00923387096774
15.0 0.00991935483871
16.0 0.0100403225806
17.0 0.0104032258065
18.0 0.0110887096774
19.0 0.0116532258065
20.0 0.0123387096774
21.0 0.0125806451613
22.0 0.0129032258065
23.0 0.0132258064516
24.0 0.0134677419355
25.0 0.0132661290323
26.0 0.0135887096774
27.0 0.0140322580645
28.0 0.0142741935484
29.0 0.014435483871
30.0 0.0145564516129
31.0 0.0145564516129
32.0 0.0145564516129
33.0 0.0143548387097
34.0 0.0139112903226
35.0 0.0141935483871
36.0 0.0142741935484
37.0 0.0141935483871
38.0 0.0140725806452
39.0 0.0138709677419
40.0 0.0134274193548
41.0 0.0132661290323
42.0 0.0126209677419
43.0 0.0120967741935
44.0 0.0120161290323
45.0 0.0116935483871
46.0 0.0112903225806
47.0 0.0108467741935
48.0 0.0103629032258
49.0 0.00987903225806
50.0 0.0091935483871
51.0 0.00850806451613
52.0 0.0079435483871
53.0 0.00754032258065
54.0 0.00697580645161
55.0 0.00637096774194
56.0 0.00572580645161
57.0 0.00504032258065
58.0 0.00435483870968
59.0 0.00358870967742
60.0 0.00254032258065
61.0 0.00213709677419
e
1.0 0.00139720558882
2.0 0.00147704590818
3.0 0.00183632734531
4.0 0.00251497005988
5.0 0.00307385229541
6.0 0.00367265469062
7.0 0.00419161676647
8.0 0.00463073852295
9.0 0.00542914171657
10.0 0.00606786427146
11.0 0.00690618762475
12.0 0.0072255489022
13.0 0.00778443113772
14.0 0.00830339321357
15.0 0.00870259481038
16.0 0.00898203592814
17.0 0.00926147704591
18.0 0.00986027944112
19.0 0.010499001996
20.0 0.0108183632735
21.0 0.0111776447106
22.0 0.0115369261477
23.0 0.0118562874251
24.0 0.0120558882236
25.0 0.0118962075848
26.0 0.0121357285429
27.0 0.0125349301397
28.0 0.0127744510978
29.0 0.0128942115768
30.0 0.0129740518962
31.0 0.0130139720559
32.0 0.0130139720559
33.0 0.0129341317365
34.0 0.0124550898204
35.0 0.0126147704591
36.0 0.0127744510978
37.0 0.0127345309381
38.0 0.0126147704591
39.0 0.0124151696607
40.0 0.0121756487026
41.0 0.0118163672655
42.0 0.0114171656687
43.0 0.0108582834331
44.0 0.0107784431138
45.0 0.0105389221557
46.0 0.0102195608782
47.0 0.00982035928144
48.0 0.00942115768463
49.0 0.00890219560878
50.0 0.00850299401198
51.0 0.00754491017964
52.0 0.0072255489022
53.0 0.00674650698603
54.0 0.00626746506986
55.0 0.00578842315369
56.0 0.00518962075848
57.0 0.00463073852295
58.0 0.00407185628743
59.0 0.00335329341317
60.0 0.00275449101796
61.0 0.00195608782435
e
1.0 0.00160173160173
2.0 0.00168831168831
3.0 0.0021645021645
4.0 0.00294372294372
5.0 0.0034632034632
6.0 0.00411255411255
7.0 0.0047619047619
8.0 0.00528138528139
9.0 0.00614718614719
10.0 0.00683982683983
11.0 0.00744588744589
12.0 0.00800865800866
13.0 0.00861471861472
14.0 0.00917748917749
15.0 0.00969696969697
16.0 0.00991341991342
17.0 0.0103463203463
18.0 0.0110822510823
19.0 0.0115584415584
20.0 0.0120346320346
21.0 0.0125108225108
22.0 0.0128138528139
23.0 0.0130735930736
24.0 0.01329004329
25.0 0.0131601731602
26.0 0.0135497835498
27.0 0.0138961038961
28.0 0.0140692640693
29.0 0.0141991341991
30.0 0.0142857142857
31.0 0.0143722943723
32.0 0.014329004329
33.0 0.0141125541126
34.0 0.0137662337662
35.0 0.014025974026
36.0 0.0141558441558
37.0 0.0141125541126
38.0 0.0139393939394
39.0 0.0137229437229
40.0 0.0134199134199
41.0 0.0131168831169
42.0 0.0124675324675
43.0 0.0120346320346
44.0 0.0119047619048
45.0 0.0116017316017
46.0 0.0111688311688
47.0 0.0107792207792
48.0 0.0102597402597
49.0 0.00974025974026
50.0 0.00904761904762
51.0 0.0082683982684
52.0 0.00779220779221
53.0 0.0074025974026
54.0 0.00658008658009
55.0 0.00623376623377
56.0 0.00558441558442
57.0 0.00493506493506
58.0 0.00428571428571
59.0 0.00341991341991
60.0 0.00285714285714
61.0 0.00212121212121