-
Notifications
You must be signed in to change notification settings - Fork 12
/
Copy pathLegendSpecFitsRecipesBaseExt.jl
1703 lines (1610 loc) · 55.8 KB
/
LegendSpecFitsRecipesBaseExt.jl
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
# This file is a part of LegendSpecFits.jl, licensed under the MIT License (MIT).
module LegendSpecFitsRecipesBaseExt
using RecipesBase
import Plots
using Unitful, Format, Measurements, LaTeXStrings
using Measurements: value, uncertainty
using StatsBase, LinearAlgebra
using KernelDensity
function round_wo_units(x::Unitful.RealOrRealQuantity; digits::Integer=2)
if unit(x) == NoUnits
round(x, digits=digits)
else
round(unit(x), x, digits=2)
end
end
@recipe function f(report::NamedTuple{(:f_fit, :h, :μ, :σ, :gof)})
ylabel := "Normalized Counts"
margins := (4, :mm)
framestyle := :box
legend := :bottomleft
xlims := (ustrip(Measurements.value(report.μ - 5*report.σ)), ustrip(Measurements.value(report.μ + 5*report.σ)))
@series begin
label := "Data"
subplot --> 1
report.h
end
@series begin
color := :red
subplot --> 1
label := "Normal Fit (μ = $(round_wo_units(report.μ, digits=2)), σ = $(round_wo_units(report.σ, digits=2)))"
lw := 3
bottom_margin --> (-4, :mm)
ustrip(Measurements.value(report.μ - 10*report.σ)):ustrip(Measurements.value(report.σ / 1000)):ustrip(Measurements.value(report.μ + 10*report.σ)), t -> report.f_fit(t)
end
if !isempty(report.gof)
link --> :x
layout --> @layout([a{0.7h}; b{0.3h}])
@series begin
seriestype := :hline
ribbon := 3
subplot --> 2
fillalpha := 0.5
label := ""
fillcolor := :lightgrey
linecolor := :darkgrey
[0.0]
end
@series begin
seriestype := :hline
ribbon := 1
subplot --> 2
fillalpha := 0.5
label := ""
fillcolor := :grey
linecolor := :darkgrey
[0.0]
end
@series begin
seriestype := :scatter
subplot --> 2
label := ""
title := ""
markercolor --> :black
ylabel := "Residuals (σ)"
link --> :x
top_margin --> (-4, :mm)
ylims := (-5, 5)
xlims := (ustrip(Measurements.value(report.μ - 5*report.σ)), ustrip(Measurements.value(report.μ + 5*report.σ)))
yscale --> :identity
yticks := ([-3, 0, 3])
report.gof.bin_centers, [ifelse(abs(r) < 1e-6, 0.0, r) for r in report.gof.residuals_norm]
end
end
end
@recipe function f(report:: NamedTuple{(:rt, :min_enc, :enc_grid_rt, :enc)})
xlabel := "Rise Time ($(unit(first(report.rt))))"
ylabel := "ENC (ADC)"
grid := :true
gridcolor := :black
gridalpha := 0.2
gridlinewidth := 0.5
# xscale := :log10
# yscale := :log10
# xlims := (5e0, 2e1)
@series begin
seriestype := :scatter
label := "ENC"
report.enc_grid_rt*NoUnits, report.enc
end
@series begin
seriestype := :hline
label := "Min. ENC Noise (RT: $(report.rt))"
color := :red
linewidth := 2.5
[report.min_enc]
end
end
@recipe function f(report:: NamedTuple{(:ft, :min_fwhm, :e_grid_ft, :fwhm)})
xlabel := "Flat-Top Time $(unit(first(report.ft)))"
ylabel := "FWHM FEP"
grid := :true
gridcolor := :black
gridalpha := 0.2
gridlinewidth := 0.5
# xscale := :log10
# yscale := :log10
ylims := (1, 8)
xlims := (0.5, 5)
@series begin
seriestype := :scatter
label := "FWHM"
report.e_grid_ft*NoUnits, report.fwhm
end
@series begin
seriestype := :hline
label := "Min. FWHM $(round(u"keV", report.min_fwhm, digits=2)) (FT: $(report.ft))"
color := :red
linewidth := 2.5
[report.min_fwhm]
end
end
@recipe function f(report:: NamedTuple{(:wl, :min_sf, :a_grid_wl_sg, :sfs)})
xlabel := "Window Length ($(unit(first(report.a_grid_wl_sg))))"
ylabel := "SEP Survival Fraction ($(unit(first(report.sfs))))"
grid := :true
gridcolor := :black
gridalpha := 0.2
gridlinewidth := 0.5
# ylims := (0, 30)
@series begin
seriestype := :scatter
label := "SF"
ustrip.(report.a_grid_wl_sg), ustrip.(report.sfs)
end
@series begin
seriestype := :hline
label := "Min. SF $(report.min_sf) (WT: $(report.wl))"
color := :red
linewidth := 2.5
[ustrip(Measurements.value(report.min_sf))]
end
@series begin
seriestype := :hspan
label := ""
color := :red
alpha := 0.1
ustrip.([Measurements.value(report.min_sf)-Measurements.uncertainty(report.min_sf), Measurements.value(report.min_sf)+Measurements.uncertainty(report.min_sf)])
end
end
@recipe function f(report:: NamedTuple{(:wl, :min_obj, :gain, :res_1pe, :pos_1pe, :threshold, :a_grid_wl_sg, :obj, :report_simple, :report_fit)})
xlabel := "Window Length ($(unit(first(report.a_grid_wl_sg))))"
ylabel := "Objective \n σ * √(threshold) \n ______________ \n gain * √(pos_1pe)"
grid := :true
gridcolor := :black
gridalpha := 0.2
gridlinewidth := 0.5
ylims := (0, 1.5 * maximum(Measurements.value.(report.obj)))
@series begin
seriestype := :scatter
label := "Obj"
ustrip.(report.a_grid_wl_sg), ustrip.(report.obj)
end
@series begin
seriestype := :hline
label := "Min. Obj $(report.min_obj) (WL: $(report.wl))"
color := :red
linewidth := 2.5
[ustrip(Measurements.value(report.min_obj))]
end
@series begin
seriestype := :hspan
label := ""
color := :red
alpha := 0.1
ustrip.([Measurements.value(report.min_obj)-Measurements.uncertainty(report.min_obj), Measurements.value(report.min_obj)+Measurements.uncertainty(report.min_obj)])
end
end
@recipe function f(report::NamedTuple{(:v, :h, :f_fit, :f_components, :gof)}; show_label=true, show_fit=true, show_components=true, show_residuals=true, f_fit_x_step_scaling=1/100, _subplot=1, x_label="Energy (keV)")
f_fit_x_step = ustrip(value(report.v.σ)) * f_fit_x_step_scaling
bin_centers = collect(report.h.edges[1])[1:end-1] .+ diff(collect(report.h.edges[1]))[1]/2
if x_label == "A/E"
legend := :bottomleft
else
legend := :topleft
end
foreground_color_legend := :silver
background_color_legend := :white
ylim_max = max(3*value(report.f_fit(report.v.μ)), 3*maximum(report.h.weights))
ylim_max = ifelse(ylim_max == 0.0, 1e5, ylim_max)
ylim_min = 0.1*minimum(filter(x -> x > 0, report.h.weights))
framestyle --> :box
@series begin
seriestype := :bar
alpha --> 1.0
fillcolor --> :lightgrey
linecolor --> :lightgrey
fillrange := 1e-7
bar_width := diff(report.h.edges[1])[1]
label --> ifelse(show_label, "Data", "")
yscale --> :log10
bins --> :sqrt
if x_label == "A/E"
xlabel --> L"A/E\ (\sigma_{A/E}))"
else
xlabel --> "Energy (keV)"
end
subplot --> _subplot
bin_centers, LinearAlgebra.normalize(report.h, mode = :density).weights#LinearAlgebra.normalize(report.h, mode = :density)
end
if show_fit
@series begin
seriestype := :line
if !isempty(report.gof)
label := ifelse(show_label, "Best Fit (p = $(round(report.gof.pvalue, digits=2)))", "")
else
label := ifelse(show_label, "Best Fit", "")
end
linewidth := 2.3
color := :black
linecolor := :black
margins --> (0, :mm)
if !isempty(report.gof) && show_residuals
bottom_margin --> (-4, :mm)
xlabel := ""
xticks --> ([])
else
if x_label == "A/E"
xlabel --> L"A/E\ (\sigma_{A/E}))"
else
xlabel --> "Energy (keV)"
end
end
ylims --> (ylim_min, ylim_max)
xlims := (minimum(report.h.edges[1]), maximum(report.h.edges[1]))
if x_label == "A/E"
ylabel := "Counts / $(round(step(report.h.edges[1]), digits=2))"
else
ylabel := "Counts / $(round(step(report.h.edges[1]), digits=2)) keV"
end
subplot --> _subplot
minimum(report.h.edges[1]):f_fit_x_step:maximum(report.h.edges[1]), value.(report.f_fit.(minimum(report.h.edges[1]):f_fit_x_step:maximum(report.h.edges[1])))
end
if show_components
for (idx, component) in enumerate(keys(report.f_components.funcs))
@series begin
seriestype := :line
color := report.f_components.colors[component]
label := ifelse(show_label, report.f_components.labels[component], "")
linewidth := 2
linestyle := report.f_components.linestyles[component]
if idx == length(report.f_components.funcs)
margins --> (0, :mm)
if !isempty(report.gof) && show_residuals
bottom_margin --> (-4, :mm)
xlabel := ""
xticks --> ([])
else
if x_label == "A/E"
xlabel --> L"A/E\ (\sigma_{A/E}))"
else
xlabel --> "Energy (keV)"
end
end
ylims --> (ylim_min, ylim_max)
xlims := (minimum(report.h.edges[1]), maximum(report.h.edges[1]))
if x_label == "A/E"
ylabel := "Counts / $(round(step(report.h.edges[1]), digits=2))"
else
ylabel := "Counts / $(round(step(report.h.edges[1]), digits=2)) keV"
end
end
subplot --> _subplot
minimum(report.h.edges[1]):f_fit_x_step:maximum(report.h.edges[1]), report.f_components.funcs[component]
end
end
end
if !isempty(report.gof) && show_residuals
ylims_res_max, ylims_res_min = 5, -5
if any(report.gof.residuals_norm .> 5) || any(report.gof.residuals_norm .< -5)
abs_max = 1.2*maximum(abs.(report.gof.residuals_norm))
ylims_res_max, ylims_res_min = abs_max, -abs_max
end
layout --> @layout([a{0.8h}; b{0.2h}])
margins --> (0, :mm)
link --> :x
@series begin
seriestype := :hline
ribbon := 3
subplot --> _subplot + 1
fillalpha := 0.5
label := ""
fillcolor := :lightgrey
linecolor := :darkgrey
[0.0]
end
@series begin
seriestype := :hline
ribbon := 1
subplot --> _subplot + 1
fillalpha := 0.5
label := ""
fillcolor := :grey
linecolor := :darkgrey
[0.0]
end
@series begin
seriestype := :scatter
subplot --> _subplot + 1
label := ""
title := ""
markercolor --> :black
ylabel --> "Residuals (σ)"
if x_label == "A/E"
xlabel --> L"A/E\ (\sigma_{A/E}))"
else
xlabel --> "Energy (keV)"
end
link --> :x
top_margin --> (0, :mm)
ylims := (ylims_res_min, ylims_res_max)
xlims := (minimum(report.h.edges[1]), maximum(report.h.edges[1]))
yscale --> :identity
markersize --> 3 #can be changed manually in the code
if ylims_res_max == 5
yticks := ([-3, 0, 3])
end
bin_centers, report.gof.residuals_norm
end
end
end
end
@recipe function f(report::NamedTuple{(:v, :h, :f_fit, :f_components, :gof)}, mode::Symbol)
if mode == :cormat
cm = cor(report.gof.covmat)
elseif mode == :covmat
cm = report.gof.covmat
else
@debug "mode $mode not supported - has to be :cormat or :covmat"
return
end
cm_plt = NaN .* cm
for i in range(1, stop = size(cm)[1])
cm_plt[i:end,i] = cm[i:end,i]
end
# prepare labels
par_names = fieldnames(report.v)
tick_names = String.(collect(par_names))
tick_names[tick_names .== "step_amplitude"] .= L"\textrm{bkg}_\textrm{step}"
tick_names[tick_names .== "background"] .= "bkg"
tick_names[tick_names .== "skew_width"] .= L"\textrm{tail}_\textrm{skew}"
tick_names[tick_names .== "skew_fraction"] .= L"\textrm{tail}_\textrm{frac}"
@series begin
seriestype := :heatmap
# c := cgrad(:grays, rev = true)
c := :RdBu_3#:bam
cm_plt
end
# annotation for correlation coefficient
cm_vec = round.(vec(cm_plt), digits = 2)
xvec = vec(hcat([fill(i, 7) for i in 1:7]...))
yvec = vec(hcat([fill(i, 7) for i in 1:7]...)')
xvec = xvec[isfinite.(cm_vec)]
yvec = yvec[isfinite.(cm_vec)]
cm_vec = cm_vec[isfinite.(cm_vec)]
@series begin
seriestype := :scatter
xticks := (1:length(par_names),tick_names)
yticks := (1:length(par_names),tick_names)
yflip --> true
markeralpha := 0
colorbar --> false
label --> false
legend --> false
thickness_scaling := 1.0
xtickfontsize --> 12
xlabelfontsize --> 14
ylabelfontsize --> 14
tickfontsize --> 12
legendfontsize --> 10
xlims --> (0.5, length(par_names)+0.5)
ylims --> (0.5, length(par_names)+0.5)
size --> (600, 575)
grid --> false
title --> "Correlation Matrix"
series_annotations := [("$(cm_vec[i])", :center, :center, :black, 12, "Helvetica Bold") for i in eachindex(xvec)]
xvec, yvec
end
end
@recipe function f(report::NamedTuple{((:v, :h, :f_fit, :f_sig, :f_bck))}; f_fit_x_step_scaling=1/100)
f_fit_x_step = ustrip(value(report.v.σ)) * f_fit_x_step_scaling
xlabel := "A/E (a.u.)"
ylabel := "Counts"
legend := :topleft
ylims := (1, max(1.5*report.f_sig(report.v.μ), 1.5*maximum(report.h.weights)))
@series begin
seriestype := :stepbins
label := "Data"
bins --> :sqrt
LinearAlgebra.normalize(report.h, mode = :density)
end
@series begin
seriestype := :line
label := "Best Fit"
color := :red
minimum(report.h.edges[1]):f_fit_x_step:maximum(report.h.edges[1]), report.f_fit
end
@series begin
seriestype := :line
label := "Signal"
color := :green
minimum(report.h.edges[1]):f_fit_x_step:maximum(report.h.edges[1]), report.f_sig
end
@series begin
seriestype := :line
label := "Background"
color := :black
minimum(report.h.edges[1]):f_fit_x_step:maximum(report.h.edges[1]), report.f_bck
end
end
@recipe function f(report::NamedTuple{(:survived, :cut, :sf, :bsf)}; peak_name="")
size --> (1400,800)
left_margin --> (10, :mm)
title --> "$peak_name Survival fraction: $(round(report.sf * 100, digits = 2))%"
ylim_max = max(3*value(report.survived.f_fit(report.survived.v.μ)), 3*maximum(report.survived.h.weights), 3*value(report.cut.f_fit(report.cut.v.μ)), 3*maximum(report.cut.h.weights))
ylim_max = ifelse(ylim_max == 0.0, 1e5, ylim_max)
ylim_min = min(minimum(filter(x -> x > 0, report.survived.h.weights)), minimum(filter(x -> x > 0, report.cut.h.weights)))
@series begin
label := "Data Survived"
_subplot := 1
fillcolor := :darkgrey
alpha := 1.0
report.survived
end
@series begin
label := "Data Cut"
_subplot := 1
alpha := 0.2
ylims --> (ylim_min, ylim_max)
report.cut
end
end
@recipe function f(x::Vector{T}, cut::NamedTuple{(:low, :high, :max), Tuple{T, T, T}}) where T<:Unitful.RealOrRealQuantity
ylabel := "Counts"
legend := :topright
xlims := (median(x) - std(x), median(x) + std(x))
@series begin
seriestype := :stephist
label := "Data"
bins --> :sqrt
x
end
@series begin
seriestype := :vline
label := ""
color := :red
linewidth := 1.5
[cut.low, cut.high]
end
@series begin
seriestype := :vspan
label := "Cut Window"
color := :red
alpha := 0.1
fillrange := cut.high
[cut.low, cut.high]
end
end
@recipe function f(report::NamedTuple{(:h_calsimple, :h_uncal, :c, :peak_guess, :peakhists, :peakstats)}; cal=true)
ylabel := "Counts"
legend := :topright
yscale := :log10
fill := false
if cal
h = LinearAlgebra.normalize(report.h_calsimple, mode = :density)
xlabel := "Energy (keV)"
xlims := (0, 3000)
xticks := (0:500:3000, ["$i" for i in 0:500:3000])
ylims := (0.2, maximum(h.weights)*1.1)
peak_guess = ustrip(report.c * report.peak_guess)
else
h = LinearAlgebra.normalize(report.h_uncal, mode = :density)
xlabel := "Energy (ADC)"
xlims := (0, 1.2*report.peak_guess)
# xticks := (0:3000:1.2*report.peak_guess, ["$i" for i in 0:3000:1.2*report.peak_guess])
ylims := (0.2, maximum(h.weights)*1.1)
peak_guess = report.peak_guess
end
@series begin
seriestype := :stepbins
label := "Energy"
h
end
y_vline = 0.2:1:maximum(h.weights)*1.1
@series begin
seriestype := :line
label := "Peak estimate"#: $(round(peak_guess, digits = 1))"
color := :red2
linewidth := 1.5
fill(peak_guess, length(y_vline)), y_vline
end
end
@recipe function f(report::NamedTuple{(:peakpos, :peakpos_cal, :h_uncal, :h_calsimple)}; cal=true)
legend := :topright
size := (1000, 600)
thickness_scaling := 1.5
framestyle := :box
yformatter := :plain
if cal
h = LinearAlgebra.normalize(report.h_calsimple, mode = :density)
xlabel := "Peak Amplitudes (P.E.)"
ylabel := "Counts / $(round_wo_units(step(first(h.edges)), digits=2)) P.E."
xticks := (0:0.5:last(first(h.edges)))
pps = report.peakpos_cal
else
h = LinearAlgebra.normalize(report.h_uncal, mode = :density)
xlabel := "Peak Amplitudes (ADC)"
ylabel := "Counts / $(round_wo_units(step(first(h.edges)), digits=2)) ADC"
pps = report.peakpos
end
xlims := (0, last(first(h.edges)))
min_y = minimum(h.weights) == 0.0 ? 1e1 : 0.8*minimum(h.weights)
ylims --> (min_y, maximum(h.weights)*1.1)
@series begin
seriestype := :stepbins
label := "amps"
h
end
y_vline = [min_y, maximum(h.weights)*1.1]
for (i, p) in enumerate(pps)
@series begin
seriestype := :line
if i == 1
label := "Peak Pos. Guess"
else
label := ""
end
color := :red
linewidth := 1.5
fill(p, length(y_vline)), y_vline
end
end
end
@recipe function f(report_sipm::NamedTuple{(:h_cal, :f_fit, :f_fit_components, :min_pe, :max_pe, :bin_width, :n_mixtures, :n_pos_mixtures, :peaks, :positions, :μ , :gof)}; xerrscaling=1, show_residuals=true, show_peaks=true, show_components=false)
legend := :topright
size := (1000, 600)
margins := (4, :mm)
thickness_scaling := 1.5
framestyle := :box
yformatter := :plain
foreground_color_legend := :silver
background_color_legend := :white
ylabel := "Counts / $(round_wo_units(report_sipm.bin_width * 1e3, digits=2))E-3 P.E."
xlims := (first(first(report_sipm.h_cal.edges)), last(first(report_sipm.h_cal.edges)))
xticks := (ceil(first(first(report_sipm.h_cal.edges)))-0.5:0.5:last(first(report_sipm.h_cal.edges)))
min_y = minimum(report_sipm.h_cal.weights) == 0.0 ? 1e1 : 0.8*minimum(report_sipm.h_cal.weights)
ylims := (min_y, maximum(report_sipm.h_cal.weights)*1.1)
bin_centers = collect(report_sipm.h_cal.edges[1])[1:end-1] .+ diff(collect(report_sipm.h_cal.edges[1]))[1]/2
@series begin
yscale --> :log10
label := "Amplitudes"
subplot --> 1
seriestype := :bar
alpha --> 1.0
fillalpha --> 0.85
fillcolor --> :lightgrey
linecolor --> :lightgrey
fillrange := 1e-1
bins --> :sqrt
bar_width := diff(report_sipm.h_cal.edges[1])[1]
bin_centers, report_sipm.h_cal.weights
end
@series begin
seriestype := :line
if !isempty(report_sipm.gof)
label := "Best Fit (p = $(round(report_sipm.gof.pvalue, digits=2)))"
else
label := "Best Fit"
end
if show_residuals && !isempty(report_sipm.gof)
xlabel := ""
xticks := []
else
xlabel := "Peak Amplitudes (P.E.)"
end
subplot --> 1
color := :black
linewidth := 1.5
report_sipm.min_pe:report_sipm.bin_width/100:report_sipm.max_pe, report_sipm.f_fit
end
if show_components
for (i, μ) in enumerate(report_sipm.μ)
@series begin
seriestype := :line
if i == 1
label := "Mixture Components"
else
label := ""
end
if show_residuals && !isempty(report_sipm.gof)
xlabel := ""
xticks := []
else
xlabel := "Peak Amplitudes (P.E.)"
end
subplot --> 1
color := i + 1 + length(report_sipm.positions)
linestyle := :dash
linewidth := 1.3
# fillalpha := 1
alpha := 0.4
xi = report_sipm.min_pe:report_sipm.bin_width/100:report_sipm.max_pe
yi = Base.Fix2(report_sipm.f_fit_components, i).(xi)
# ribbon := (yi .- 1, zeros(length(xi)))
xi, yi
end
end
end
if show_peaks
y_vline = [min_y, maximum(report_sipm.h_cal.weights)*1.1]
for (i, p) in enumerate(report_sipm.positions)
@series begin
seriestype := :line
if xerrscaling == 1
label := "$(report_sipm.peaks[i]) P.E. [$(report_sipm.n_pos_mixtures[i]) Mix.]"
else
label := "$(report_sipm.peaks[i]) P.E. [$(report_sipm.n_pos_mixtures[i]) Mix.] (error x$xerrscaling)"
end
subplot --> 1
color := i + 1
linewidth := 1.5
fill(value(p), length(y_vline)), y_vline
end
@series begin
seriestype := :vspan
label := ""
fillalpha := 0.1
subplot --> 1
if show_residuals && !isempty(report_sipm.gof)
xlabel := ""
xticks := []
else
xlabel := "Peak Amplitudes (P.E.)"
end
color := i + 1
[value(p) - xerrscaling * uncertainty(p), value(p) + xerrscaling * uncertainty(p)]
end
end
end
if show_residuals && !isempty(report_sipm.gof)
link --> :x
layout --> @layout([a{0.7h}; b{0.3h}])
@series begin
seriestype := :hline
ribbon := 3
subplot --> 2
fillalpha := 0.5
label := ""
fillcolor := :lightgrey
linecolor := :darkgrey
[0.0]
end
@series begin
seriestype := :hline
ribbon := 1
subplot --> 2
fillalpha := 0.5
label := ""
fillcolor := :grey
linecolor := :darkgrey
[0.0]
end
@series begin
seriestype := :scatter
subplot --> 2
label := ""
title := ""
markercolor --> :darkgrey
markersize --> 3.0
markerstrokewidth := 0.1
ylabel := "Residuals (σ)"
xlabel := "Peak Amplitudes (P.E.)"
link --> :x
top_margin --> (-8, :mm)
ylims := (-6, 6)
xlims := (first(first(report_sipm.h_cal.edges)), last(first(report_sipm.h_cal.edges)))
yscale --> :identity
yticks := ([-3, 0, 3])
report_sipm.gof.bin_centers, [ifelse(abs(r) < 1e-6, 0.0, r) for r in report_sipm.gof.residuals_norm]
end
end
end
@recipe function f(report_ctc::NamedTuple{(:peak, :window, :fct, :bin_width, :bin_width_qdrift, :e_peak, :e_ctc, :qdrift_peak, :h_before, :h_after, :fwhm_before, :fwhm_after, :report_before, :report_after)})
if !("StatsPlots" in string.(Base.loaded_modules_array()))
throw(ErrorException("StatsPlots not loaded. Please load StatsPlots before using this recipe."))
end
layout := (2, 1)
size := (1000, 1000)
framestyle := :semi
grid := false
left_margin --> (5, :mm)
right_margin --> (5, :mm)
bottom_margin := (-4, :mm)
margins --> (0, :mm)
link --> :x
foreground_color_legend := :silver
background_color_legend := :white
xtickfontsize := 12
xlabelfontsize := 14
ylabelfontsize := 14
ytickfontsize := 12
legendfontsize := 12
xl = (first(report_ctc.h_before.edges[1]), last(report_ctc.h_before.edges[1]))
@series begin
seriestype := :stepbins
fill := true
color := :darkgrey
label := "Before correction"
legend := :topleft
subplot := 1
ylims := (0, :auto)
report_ctc.h_before
end
@series begin
seriestype := :stepbins
fill := true
alpha := 0.5
color := :purple
label := "After correction"
legend := :topleft
subplot := 1
ylims := (0, :auto)
xlims := xl
xlabel := ""
xticks := ([], [])
ylabel := "Counts / $(round_wo_units(report_ctc.bin_width, digits=2))"
report_ctc.h_after
end
@series begin
seriestype := :line
subplot := 2
c := :binary
colorbar := :none
fill := true
label := "Before correction"
kde((ustrip(report_ctc.e_peak), report_ctc.qdrift_peak ./ maximum(report_ctc.qdrift_peak)))
end
@series begin
seriestype := :line
subplot := 2
c := :plasma
colorbar := :none
fill := false
label := "After correction"
xlims := xl
ylims := (0, 1)
yticks := 0.1:0.1:0.9
yformatter := :plain
xlabel := "Energy ($(unit(report_ctc.peak)))"
ylabel := "Eff. Drift time (a.u.)"
kde((ustrip(report_ctc.e_ctc), report_ctc.qdrift_peak ./ maximum(report_ctc.qdrift_peak)))
end
end
@recipe function f(report_window_cut::NamedTuple{(:h, :f_fit, :x_fit, :low_cut, :high_cut, :low_cut_fit, :high_cut_fit, :center, :σ)})
xlims := (value(ustrip(report_window_cut.center - 7*report_window_cut.σ)), value(ustrip(report_window_cut.center + 7*report_window_cut.σ)))
ylabel := "Density"
framestyle := :box
@series begin
label := "Data"
report_window_cut.h
end
ylims --> (0, 1.1*maximum(report_window_cut.h.weights))
@series begin
seriestype := :line
label := "Best Fit"
color := :red
linewidth := 3
report_window_cut.x_fit, report_window_cut.f_fit
end
@series begin
seriestype := :vline
label := "Cut Window"
color := :green
linewidth := 3
ustrip.([report_window_cut.low_cut, report_window_cut.high_cut])
end
@series begin
seriestype := :vline
label := "Fit Window"
color := :orange
linewidth := 3
ustrip.([report_window_cut.low_cut_fit, report_window_cut.high_cut_fit])
end
@series begin
seriestype := :vspan
label := ""
color := :lightgreen
alpha := 0.2
ustrip.([report_window_cut.low_cut, report_window_cut.high_cut])
end
end
@recipe function f(report::NamedTuple{(:par, :f_fit, :x, :y, :gof)}; plot_ribbon=true, xerrscaling=1, yerrscaling=1, additional_pts=NamedTuple())
thickness_scaling := 2.0
xlims := (0, 1.2*value(maximum(report.x)))
framestyle := :box
xformatter := :plain
yformatter := :plain
margins := (0, :mm)
if !isempty(report.gof)
layout --> @layout([a{0.8h}; b{0.2h}])
link --> :x
end
@series begin
seriestype := :line
subplot := 1
xticks --> :none
if !isempty(report.gof)
label := "Best Fit (p = $(round(report.gof.pvalue, digits=2))| χ²/ndf = $(round(report.gof.chi2min, digits=2)) / $(report.gof.dof))"
else
label := "Best Fit"
end
color := :orange
linewidth := 2
fillalpha := 0.2
if plot_ribbon
ribbon := uncertainty.(report.f_fit.(0:1:1.2*value(maximum(report.x))))
end
xstep = value(maximum(report.x))/100
0:xstep:1.2*value(maximum(report.x)), value.(report.f_fit.(0:xstep:1.2*value(maximum(report.x))))
end
@series begin
seriestype := :scatter
subplot := 1
if xerrscaling == 1 && yerrscaling == 1
label := "Data"
elseif xerrscaling == 1
label := "Data (y-Error x$(yerrscaling))"
elseif yerrscaling == 1
label := "Data (x-Error x$(xerrscaling))"
else
label := "Data (x-Error x$(xerrscaling), y-Error x$(yerrscaling))"
end
markercolor --> :black
if !isempty(report.gof)
xguide := ""
xticks := []
end
xerror := uncertainty.(report.x) .* xerrscaling
yerror := uncertainty.(report.y) .* yerrscaling
value.(report.x), value.(report.y)
end
if !isempty(additional_pts)
@series begin
seriestype := :scatter
subplot --> 1
if xerrscaling == 1 && yerrscaling == 1
label := "Data not used for fit"
elseif xerrscaling == 1
label := "Data not used for fit (y-Error x$(yerrscaling))"
elseif yerrscaling == 1
label := "Data not used for fit (x-Error x$(xerrscaling))"
else
label := "Data not used for fit (x-Error x$(xerrscaling), y-Error x$(yerrscaling))"
end
ms --> 3
markershape --> :circle
markerstrokecolor --> :black
if !isempty(report.gof)
xguide := ""
xticks := []
end
linewidth --> 0.5
markercolor --> :silver
xerror := uncertainty.(additional_pts.x) .* xerrscaling
yerror := uncertainty.(additional_pts.y) .* yerrscaling
value.(additional_pts.x), value.(additional_pts.y)
end
end
if !isempty(report.gof)
@series begin
seriestype := :hline
ribbon --> 3
subplot --> 2
fillalpha --> 0.5
label --> ""
fillcolor --> :lightgrey
linecolor --> :darkgrey
[0.0]
end
@series begin
seriestype --> :hline
ribbon --> 1
subplot --> 2
fillalpha --> 0.5
label --> ""
fillcolor --> :grey
linecolor --> :darkgrey
[0.0]
end
if !isempty(additional_pts)
@series begin
seriestype := :scatter
label --> :none
ms --> 3
markershape --> :circle
markerstrokecolor --> :black
linewidth --> 0.5
markercolor --> :silver
subplot --> 2
value.(additional_pts.x), additional_pts.residuals_norm
end
end
@series begin
seriestype --> :scatter
subplot --> 2
label --> ""
markercolor --> :black
yguide := "Residuals (σ)"
top_margin --> (-4, :mm)
ylims --> (-5, 5)
yticks --> ([-3, 0, 3])
value.(report.x), report.gof.residuals_norm
end
end
end
@recipe function f(report::NamedTuple{(:par, :f_fit, :x, :y, :gof, :e_unit, :qbb, :type)}; xerrscaling=1, yerrscaling=1, additional_pts=NamedTuple())
bottom_margin --> (0, :mm)
if report.type == :fwhm
y_max = value(maximum(report.y))
additional_pts = if !isempty(additional_pts)
fwhm_cal = report.f_fit.(ustrip.(additional_pts.peaks)) .* report.e_unit
y_max = max(y_max, value(maximum(ustrip.(report.e_unit, additional_pts.fwhm))))
(x = additional_pts.peaks, y = additional_pts.fwhm,
residuals_norm = (value.(fwhm_cal) .- additional_pts.fwhm)./ uncertainty.(fwhm_cal))
else
NamedTuple()
end
legend := :topleft
framestyle := :box
xlims := (0, 3000)
xticks := (0:500:3000, ["$i" for i in 0:500:3000])
@series begin
grid --> :all
xerrscaling --> xerrscaling
xlabel := "Energy (keV)"
yerrscaling --> yerrscaling
additional_pts --> additional_pts
(par = report.par, f_fit = report.f_fit, x = report.x, y = report.y, gof = get(report, :gof, NamedTuple()))
end
@series begin
seriestype := :hline
label := L"Q_{\beta \beta}:" * " $(round(u"keV", report.qbb, digits=2))"
color := :green
fillalpha := 0.2
linewidth := 2.5
xticks := :none
ylabel := "FWHM"
ylims := (0, 1.2*y_max)
subplot := 1
ribbon := uncertainty(report.qbb)
[value(report.qbb)]
end
end
end
@recipe function f(report::NamedTuple{(:par, :f_fit, :x, :y, :gof, :e_unit, :type)}; xerrscaling=1, yerrscaling=1, additional_pts=NamedTuple())
bottom_margin --> (0, :mm)
if report.type == :cal
additional_pts = if !isempty(additional_pts)
μ_strip = if unit(first(additional_pts.μ)) != NoUnits
ustrip.(report.e_unit, additional_pts.μ)
else
additional_pts.μ