BEAVRS/docs/specifications/expdata/figs/average_multiple.plot
2018-08-29 08:31:36 -07:00

331 lines
6.7 KiB
Gnuplot

#!/usr/bin/env gnuplot
set terminal pdf enhanced
set output 'c1c1f01/average_multiple.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'
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 0.00172131147541
3.0 0.0022131147541
4.0 0.00282786885246
5.0 0.00348360655738
6.0 0.00401639344262
7.0 0.00446721311475
8.0 0.00504098360656
9.0 0.00581967213115
10.0 0.00647540983607
11.0 0.00700819672131
12.0 0.00758196721311
13.0 0.00840163934426
14.0 0.00856557377049
15.0 0.00893442622951
16.0 0.00909836065574
17.0 0.0097131147541
18.0 0.0102459016393
19.0 0.0106967213115
20.0 0.0110655737705
21.0 0.0114344262295
22.0 0.0117213114754
23.0 0.0120081967213
24.0 0.0120081967213
25.0 0.0119672131148
26.0 0.0124180327869
27.0 0.0126639344262
28.0 0.0128278688525
29.0 0.0129508196721
30.0 0.0130327868852
31.0 0.0130737704918
32.0 0.0130327868852
33.0 0.0126229508197
34.0 0.0125409836066
35.0 0.0127459016393
36.0 0.0127868852459
37.0 0.0126639344262
38.0 0.0125
39.0 0.0122540983607
40.0 0.0120081967213
41.0 0.0114754098361
42.0 0.0109016393443
43.0 0.0107786885246
44.0 0.0105327868852
45.0 0.0102459016393
46.0 0.00987704918033
47.0 0.0094262295082
48.0 0.00905737704918
49.0 0.00856557377049
50.0 0.00790983606557
51.0 0.00725409836066
52.0 0.0069262295082
53.0 0.00647540983607
54.0 0.00594262295082
55.0 0.00532786885246
56.0 0.00475409836066
57.0 0.00418032786885
58.0 0.00356557377049
59.0 0.00290983606557
60.0 0.00229508196721
61.0 0.00168032786885
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 0.00160731741377
2.0 0.00173125261835
3.0 0.00219112204999
4.0 0.00288315179444
5.0 0.00352595657031
6.0 0.00419337383047
7.0 0.00480030721966
8.0 0.00530198296327
9.0 0.00617843178327
10.0 0.00702878438766
11.0 0.00753342759391
12.0 0.00805674835917
13.0 0.00864203672671
14.0 0.00920568007262
15.0 0.00980816226784
16.0 0.00997687124703
17.0 0.0103747730764
18.0 0.0110854803798
19.0 0.0116058336824
20.0 0.012186670856
21.0 0.0125457338361
22.0 0.0128585393102
23.0 0.0131496997626
24.0 0.0133788926128
25.0 0.0132131510962
26.0 0.0135692466136
27.0 0.0139641809803
28.0 0.0141717288088
29.0 0.0143173090351
30.0 0.0144210829493
31.0 0.0144643729926
32.0 0.014442727971
33.0 0.0142336964111
34.0 0.0138387620444
35.0 0.0141097612065
36.0 0.0142150188521
37.0 0.0141530512498
38.0 0.0140059872923
39.0 0.0137969557324
40.0 0.0134236663874
41.0 0.0131915060746
42.0 0.0125442501047
43.0 0.0120657031141
44.0 0.0119604454685
45.0 0.0116476399944
46.0 0.0112295768747
47.0 0.0108129974864
48.0 0.0103113217428
49.0 0.00980964599916
50.0 0.00912058371736
51.0 0.00838823139226
52.0 0.00786787808965
53.0 0.00747145999162
54.0 0.00677794651585
55.0 0.00630236698785
56.0 0.00565511101801
57.0 0.00498769375786
58.0 0.0043202764977
59.0 0.00350431154867
60.0 0.00269873271889
61.0 0.0021291544477
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