python structure fixes
This commit is contained in:
James Szalkie
parent
92d831678e
commit
e4a490245c
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@ -57,8 +57,8 @@ private:
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const int numDet = 12;
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const int numDet = 12;
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const float radius = 88;
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const float radius = 88;
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const float width = 40;
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const float width = 40;
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const float length = 174.3; // 75
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const float length = 75; // 75
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const float gap = 0; // 46
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const float gap = 46; // 46
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short id; // -1 when no hit
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short id; // -1 when no hit
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short chUp;
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short chUp;
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@ -97,13 +97,13 @@ int main(int argc, char **argv){
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if( argc >= 2 ) numEvent = atoi(argv[1]);
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if( argc >= 2 ) numEvent = atoi(argv[1]);
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TransferReaction transfer;
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TransferReaction transfer;
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transfer.SetA(27, 13, 0); // 18Ne projectile
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transfer.SetA(1, 1, 0); // 18Ne projectile
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//transfer.SetIncidentEnergyAngle(0, 0, 0); // KEA in MeV/u, theta and phi in rad
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//transfer.SetIncidentEnergyAngle(0, 0, 0); // KEA in MeV/u, theta and phi in rad
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TGraph* elossBeam = LoadELoss("../ELoss/E_vs_x_Ne-18.dat");
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TGraph* elossBeam = LoadELoss("../ELoss/E_vs_x_proton.dat");
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transfer.Seta(4, 2); // 4He target
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transfer.Seta(4, 2); // 4He target
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transfer.Setb(1, 1); // outgoing proton from the primary transfer
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transfer.Setb(1, 1); // outgoing proton from the primary transfer
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transfer.SetB(30, 14); // 21Na* heavy product
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transfer.SetB(4, 2); // 21Na* heavy product
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const double beamA = 27.0; // mass number of 27Al beam
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const double beamA = 1.0; // mass number of 27Al beam
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bool enableSequentialDecay = false; // turning to false to disable sequential decay for now, can be set to true to enable
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bool enableSequentialDecay = false; // turning to false to disable sequential decay for now, can be set to true to enable
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const int decayDaughterA = 20;
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const int decayDaughterA = 20;
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@ -118,7 +118,7 @@ int main(int argc, char **argv){
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// define vertex position uniform distribution ranges (mm)
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// define vertex position uniform distribution ranges (mm)
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double vertexXRange[2] = { -5, 5}; // mm - 5, 5
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double vertexXRange[2] = { -5, 5}; // mm - 5, 5
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double vertexYRange[2] = { -5, 5}; // -5, 5
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double vertexYRange[2] = { -5, 5}; // -5, 5
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double vertexZRange[2] = { -100, 100}; // -174.3, 174.3 (full length of gas volume, centered at 0)
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double vertexZRange[2] = { -174.3, 174.3}; // -174.3, 174.3 (full length of gas volume, centered at 0)
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const double beamEntranceZ = -174.3; //vertexZRange[0]; // mm, assumed beam entrance into the gas
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const double beamEntranceZ = -174.3; //vertexZRange[0]; // mm, assumed beam entrance into the gas
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@ -547,10 +547,13 @@ int main(int argc, char **argv){
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vertexX2 = vertexX;
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vertexX2 = vertexX;
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vertexY2 = vertexY;
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vertexY2 = vertexY;
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vertexZ2 = vertexZ;
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vertexZ2 = vertexZ;
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qqqX = TMath::QuietNaN();
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qqqY = TMath::QuietNaN();
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qqqZ = TMath::QuietNaN();
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tree2->Fill();
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tree2->Fill();
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}else if (qqqID >= 0){
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}else if (false) {//(qqqID >= 0){
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// handle QQQ hit case
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// handle QQQ hit case
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sx3Up = -1;
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sx3Up = -1;
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sx3Dn = -1;
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sx3Dn = -1;
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501
ELoss/E_vs_x_Al-27.dat
Normal file
501
ELoss/E_vs_x_Al-27.dat
Normal file
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@ -0,0 +1,501 @@
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Distance_cm Energy_MeV
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-0.0 72.0
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0.07516627746635594 71.85573146292585
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0.1502674587514124 71.71146292585169
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0.22530353863089683 71.56719438877755
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0.30027451183674336 71.4229258517034
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0.37518037305649476 71.27865731462926
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0.45002111693280733 71.1343887775551
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0.52479673806283 70.99012024048096
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0.599507230997694 70.84585170340681
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0.6741525902418835 70.70158316633265
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0.748732810252672 70.55731462925851
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0.8232478854395513 70.41304609218436
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0.8976978101635771 70.26877755511022
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0.9720825787368177 70.12450901803606
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1.0464021854216836 69.98024048096191
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1.1206566244303215 69.83597194388777
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1.1948458899240002 69.69170340681362
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1.268969976012413 69.54743486973948
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1.3430288767530822 69.40316633266532
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1.4170225861506371 69.25889779559118
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1.490951098156198 69.11462925851703
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1.5648144066666436 68.97036072144287
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1.6386125055239398 68.82609218436873
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1.7123453885144593 68.68182364729458
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1.7860130493682191 68.53755511022044
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1.8596154817582156 68.39328657314628
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1.933152679299634 68.24901803607214
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2.006624635549164 68.10474949899799
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2.0800313440041944 67.96048096192384
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2.153372798102072 67.8162124248497
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2.226648991219346 67.67194388777554
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2.299859916670933 67.5276753507014
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2.3730055677093755 67.38340681362725
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2.4460859375239763 67.2391382765531
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2.5191010192400345 67.09486973947895
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2.5920508059179634 66.9506012024048
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2.6649352905524664 66.80633266533066
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2.7377544660717033 66.6620641282565
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2.8105083253363703 66.51779559118236
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2.883196861138875 66.37352705410821
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2.955820066202387 66.22925851703407
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3.028377933179984 66.08498997995991
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3.100870454653685 65.94072144288576
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3.173297623133536 65.79645290581162
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3.245659431056685 65.65218436873747
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3.317955870786368 65.50791583166333
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3.3901869346109943 65.36364729458917
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3.4623526147430987 65.21937875751503
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3.5344529033183933 65.07511022044088
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3.6064877923947 64.93084168336672
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3.6784572739509387 64.78657314629258
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3.750361339886098 64.64230460921843
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3.8221999820181236 64.49803607214429
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3.893973192082893 64.35376753507013
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3.965680961733064 64.209498997996
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4.03732328253702 64.06523046092184
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4.108900145977691 63.920961923847685
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4.180411543451432 63.77669338677354
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4.251857466266871 63.63242484969938
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4.323237905643703 63.488156312625236
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4.394552852711519 63.34388777555109
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4.465802298508576 63.19961923847694
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4.536986233980569 63.055350701402794
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4.608104649979376 62.91108216432865
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4.679157537261796 62.7668136272545
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4.750144886488255 62.622545090180346
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4.82106668822149 62.4782765531062
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4.8919229329252385 62.33400801603205
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4.96271361096288 62.189739478957904
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5.0334387125960705 62.04547094188376
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5.104098227983351 61.90120240480961
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5.1746921471787415 61.75693386773546
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5.245220460130313 61.61266533066131
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5.315683156678721 61.46839679358716
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5.386080226555749 61.32412825651301
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5.456411659382805 61.179859719438866
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5.5266774446693985 61.03559118236472
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5.5968775718116 60.89132264529057
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5.66701203009048 60.74705410821642
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5.737080808670504 60.60278557114227
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5.807083896597937 60.45851703406812
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5.877021282799196 60.314248496993976
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5.946892956079183 60.16997995991983
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6.016698905119601 60.02571142284568
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6.0864391184772355 59.881442885771534
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6.156113584582216 59.73717434869738
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6.2257222917362345 59.59290581162323
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6.29526522811077 59.448637274549085
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6.364742381745252 59.30436873747494
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6.434153740545209 59.16010020040079
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6.503499292280392 59.015831663326644
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6.57277902458286 58.8715631262525
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6.641992924945049 58.72729458917834
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6.711140980717785 58.583026052104195
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6.7802231791083045 58.43875751503005
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6.849239507178213 58.2944889779559
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6.918189951841421 58.15022044088175
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6.987074499862048 58.005951903807606
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7.0558931378523 57.86168336673346
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7.124645852270304 57.717414829659305
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7.193332629417903 57.57314629258516
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7.261953455438445 57.42887775551101
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7.3305083163145035 57.28460921843686
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7.3989971978655795 57.140340681362716
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7.467420085745765 56.99607214428857
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7.5357769654413715 56.851803607214414
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7.604067822268504 56.70753507014027
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7.672292641370628 56.56326653306612
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7.740451407716073 56.41899799599197
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7.808544106095498 56.274729458917825
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7.87657072111933 56.13046092184368
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7.9445312372151475 55.98619238476953
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8.012425638625036 55.84192384769538
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8.080253909402876 55.69765531062123
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8.148016033411626 55.55338677354708
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8.215711994320529 55.409118236472935
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8.283341775602285 55.26484969939879
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8.35090536053018 55.12058116232464
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8.418402732175172 54.97631262525049
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8.48583387340292 54.83204408817634
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8.553198766870759 54.68777555110219
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8.620497395024662 54.543507014028044
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8.687729740096108 54.3992384769539
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8.754895784098922 54.25496993987975
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8.821995508826063 54.1107014028056
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8.889028895846357 53.966432865731456
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8.955995926501174 53.8221643286573
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9.022896581901046 53.677895791583154
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9.089730842922247 53.53362725450901
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9.156498690203303 53.38935871743486
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9.223200104141448 53.24509018036071
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9.289835064889012 53.100821643286565
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9.356403552349773 52.95655310621241
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9.42290554617522 52.812284569138264
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9.489341025760782 52.668016032064116
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9.555709970241967 52.52374749498997
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9.622012358490466 52.37947895791582
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9.68824816911016 52.235210420841675
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9.754417380433093 52.09094188376753
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9.820519970515353 51.94667334669337
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9.886555917132887 51.802404809619226
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9.952525197777272 51.65813627254508
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10.018427789651378 51.51386773547093
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10.084263669664981 51.369599198396784
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10.150032814430297 51.22533066132264
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10.21573520025744 51.08106212424849
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10.281370803149805 50.936793587174336
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10.346939598799363 50.79252505010019
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10.4124415625819 50.64825651302604
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10.47787666955215 50.503987975951894
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10.543244894438859 50.35971943887775
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10.608546211639755 50.2154509018036
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10.67378059521645 50.07118236472945
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10.738948018889236 49.9269138276553
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10.804048456031795 49.78264529058115
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10.86908187966584 49.638376753507
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10.934048262455631 49.494108216432856
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10.99894757670242 49.34983967935871
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11.063779794338794 49.20557114228456
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11.128544886922919 49.06130260521041
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11.193242825632675 48.91703406813626
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11.25787358125972 48.77276553106211
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11.322437124203418 48.628496993987966
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11.386933424464676 48.48422845691382
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11.451362451639676 48.33995991983967
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11.515724174913492 48.195691382765524
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11.5800185630536 48.05142284569137
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11.644245584403263 47.90715430861722
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11.708405206874833 47.762885771543075
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11.772497397942887 47.61861723446893
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11.836522124637286 47.47434869739478
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11.900479353536083 47.330080160320634
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11.964369050758325 47.18581162324649
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12.028191181956718 47.04154308617233
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12.091945712310155 46.897274549098185
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12.15563260651614 46.75300601202404
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12.219251828783042 46.60873747494989
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12.282803342822238 46.46446893787574
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12.346287111840102 46.320200400801596
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12.409703098529857 46.17593186372745
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12.473051265063283 46.031663326653295
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12.536331573082263 45.88739478957915
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12.599543983690205 45.743126252505
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12.662688457443284 45.59885771543085
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12.725764954341537 45.454589178356706
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12.788773433819797 45.31032064128256
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12.851713854738469 45.166052104208404
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12.914586175374119 45.02178356713426
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12.977390353409929 44.87751503006011
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13.040126345925941 44.73324649298596
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13.10279410938915 44.588977955911815
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13.1653935996434 44.44470941883767
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13.22792477189911 44.30044088176352
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13.290387580722806 44.15617234468937
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13.35278198002645 44.01190380761522
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13.4151079230566 43.86763527054107
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13.477365362383358 43.723366733466925
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13.539554249889097 43.57909819639278
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13.601674536757013 43.43482965931863
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13.663726173459446 43.29056112224448
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13.72570910974599 43.14629258517033
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13.787623294631373 43.00202404809618
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13.849468676383143 42.857755511022035
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13.91124520250909 42.71348697394789
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13.972952819744453 42.56921843687374
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14.034591474038892 42.42494989979959
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14.096161110543205 42.28068136272544
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14.157661673595797 42.13641282565129
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14.219093106708915 41.992144288577144
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14.280455352554606 41.847875751503
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14.341748352950415 41.70360721442885
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14.402972048844822 41.5593386773547
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14.464126380302396 41.415070140280555
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14.52521128648868 41.2708016032064
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14.586226705654767 41.126533066132254
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14.64717257512162 40.98226452905811
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14.708048831264072 40.83799599198396
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14.768855409494517 40.69372745490981
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14.829592244246307 40.549458917835665
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||||||
|
31.929915336524896 0.5870741482965931
|
||||||
|
32.22943849820706 0.44280561122244483
|
||||||
|
32.559672476181774 0.29853707414829656
|
||||||
|
32.922180535599225 0.15426853707414828
|
||||||
|
33.267604963464514 0.01
|
||||||
File diff suppressed because it is too large
Load Diff
|
|
@ -20,6 +20,8 @@ import os
|
||||||
import periodictable as pt
|
import periodictable as pt
|
||||||
import re
|
import re
|
||||||
from matplotlib.colors import LinearSegmentedColormap
|
from matplotlib.colors import LinearSegmentedColormap
|
||||||
|
from mpl_toolkits.mplot3d import Axes3D
|
||||||
|
import nbformat as nbf
|
||||||
|
|
||||||
# ROOT-like styling
|
# ROOT-like styling
|
||||||
plt.rcParams.update({
|
plt.rcParams.update({
|
||||||
|
|
@ -291,50 +293,65 @@ def calculate_distance_tree2(vz, theta, z_max=34.86):
|
||||||
return np.abs((z_max - vz) / cos_theta)
|
return np.abs((z_max - vz) / cos_theta)
|
||||||
|
|
||||||
def load_tree_arrays(tree, treename, max_events=None):
|
def load_tree_arrays(tree, treename, max_events=None):
|
||||||
branches = ["Tb", "thetab", "sx3Z", "vX", "vY", "vZ", "sx3ID", "aID", "cID", "aDist", "cDist"]
|
branches = tree.keys(recursive=False)
|
||||||
if treename == 'tree1':
|
|
||||||
branches.extend(["sx3X", "sx3Y"])
|
|
||||||
return tree.arrays(branches, library="np", entry_stop=max_events)
|
return tree.arrays(branches, library="np", entry_stop=max_events)
|
||||||
|
|
||||||
def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
|
def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
|
||||||
data = load_tree_arrays(tree, treename, max_events)
|
data = load_tree_arrays(tree, treename, max_events)
|
||||||
|
|
||||||
#mask = data["thetab"] >= 0
|
#mask = (~np.isnan(data["sx3X"])) & (~np.isnan(data["Tb"]))
|
||||||
#data = {key: value[mask] for key, value in data.items()}
|
#data = {key: value[mask] for key, value in data.items()}
|
||||||
Ei = data["Tb"]
|
Ei = data["Tb"]
|
||||||
|
Einan = np.isnan(Ei).sum()
|
||||||
|
print(f"sx3 NaN entries: {Einan}")
|
||||||
theta = np.radians(data["thetab"])
|
theta = np.radians(data["thetab"])
|
||||||
vX = data["vX"]
|
vX = data["vX"]
|
||||||
vY = data["vY"]
|
vY = data["vY"]
|
||||||
vZ = data["vZ"]
|
vZ = data["vZ"]
|
||||||
|
|
||||||
if treename == 'tree1':
|
#if treename == 'tree1':
|
||||||
sx3X = data["sx3X"]
|
sx3X = data["sx3X"]
|
||||||
sx3Y = data["sx3Y"]
|
sx3Y = data["sx3Y"]
|
||||||
sx3Z = data["sx3Z"]
|
sx3Z = data["sx3Z"]
|
||||||
mask = ~np.isnan(sx3X) & ~np.isnan(sx3Y) & ~np.isnan(sx3Z)
|
mask = ~np.isnan(sx3X) & ~np.isnan(sx3Y) & ~np.isnan(sx3Z)
|
||||||
else:
|
qqqX = data["qqqX"]
|
||||||
sx3Z = np.full_like(vZ, z_max) # Assume sx3Z is at z_max for tree2
|
qqqY = data["qqqY"]
|
||||||
mask = ~np.isnan(Ei) & ~np.isnan(theta) & ~np.isnan(vZ)
|
qqqZ = data["qqqZ"]
|
||||||
|
qqqnan = np.isnan(qqqZ).sum()
|
||||||
|
print(f"qqq NaN entries: {qqqnan}")
|
||||||
|
print(f"Total: {Einan + qqqnan}")
|
||||||
|
mask2 = ~np.isnan(sx3X) & ~np.isnan(sx3Y) & ~np.isnan(sx3Z)
|
||||||
|
#else:
|
||||||
|
# sx3Z = np.full_like(vZ, z_max) # Assume sx3Z is at z_max for tree2
|
||||||
|
# mask = ~np.isnan(Ei) & ~np.isnan(theta) & ~np.isnan(vZ)
|
||||||
|
|
||||||
Ei = Ei[mask]
|
Eisx3 = Ei[mask]
|
||||||
theta = theta[mask]
|
theta = theta[mask]
|
||||||
vX = vX[mask]
|
vXsx3 = vX[mask]
|
||||||
vY = vY[mask]
|
vYsx3 = vY[mask]
|
||||||
vZ = vZ[mask]
|
vZsx3 = vZ[mask]
|
||||||
|
Eiqqq = Ei[mask2]
|
||||||
|
vXqqq = vX[mask2]
|
||||||
|
vYqqq = vY[mask2]
|
||||||
|
vZqqq = vZ[mask2]
|
||||||
|
|
||||||
if treename == 'tree1':
|
#if treename == 'tree1':
|
||||||
sx3X = sx3X[mask]
|
sx3X = sx3X[mask]
|
||||||
sx3Y = sx3Y[mask]
|
sx3Y = sx3Y[mask]
|
||||||
sx3Z = sx3Z[mask]
|
sx3Z = sx3Z[mask]
|
||||||
dsx3 = calculate_distance_tree1(vX, vY, vZ, sx3X, sx3Y, sx3Z)
|
dsx3 = calculate_distance_tree1(vXsx3, vYsx3, vZsx3, sx3X, sx3Y, sx3Z)
|
||||||
else:
|
qqqX = qqqX[mask2]
|
||||||
dsx3 = calculate_distance_tree2(vZ, theta, z_max=z_max)
|
qqqY = qqqY[mask2]
|
||||||
|
qqqZ = qqqZ[mask2]
|
||||||
|
dqqq = calculate_distance_tree1(vXqqq, vYqqq, vZqqq, qqqX, qqqY, 128)
|
||||||
|
#else:
|
||||||
|
# dsx3 = calculate_distance_tree2(vZsx3, theta, z_max=z_max)
|
||||||
|
|
||||||
sin_theta = np.sin(theta)
|
sin_theta = np.sin(theta)
|
||||||
sin_theta = np.where(sin_theta != 0, sin_theta, 1e-10)
|
sin_theta = np.where(sin_theta != 0, sin_theta, 1e-10)
|
||||||
radii = np.array([3.7, 4.3])
|
radii = np.array([3.7, 4.3])
|
||||||
dA = (radii[0] - np.sqrt((vX/10)**2 + (vY/10)**2))/ sin_theta
|
dA = (radii[0] - np.sqrt((vXsx3/10)**2 + (vYsx3/10)**2))/ sin_theta
|
||||||
dC = (radii[1] - np.sqrt((vX/10)**2 + (vY/10)**2))/ sin_theta
|
dC = (radii[1] - np.sqrt((vXsx3/10)**2 + (vYsx3/10)**2))/ sin_theta
|
||||||
|
|
||||||
# Filter out unphysical distances (negative or unreasonably small)
|
# Filter out unphysical distances (negative or unreasonably small)
|
||||||
# These typically occur at large angles where trajectory doesn't properly intersect proportional counters
|
# These typically occur at large angles where trajectory doesn't properly intersect proportional counters
|
||||||
|
|
@ -351,31 +368,22 @@ def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
|
||||||
else:
|
else:
|
||||||
aID_valid = aID >= 0
|
aID_valid = aID >= 0
|
||||||
cID_valid = cID >= 0
|
cID_valid = cID >= 0
|
||||||
|
|
||||||
distance_mask = (dA > 0.1) & (dC > 0.1) & (sx3ID >= 0) & aID_valid & cID_valid
|
|
||||||
|
|
||||||
Ei = Ei[distance_mask]
|
|
||||||
theta = theta[distance_mask]
|
|
||||||
dA = dA[distance_mask]
|
|
||||||
dC = dC[distance_mask]
|
|
||||||
dsx3 = dsx3[distance_mask]
|
|
||||||
vX = vX[distance_mask]
|
|
||||||
vY = vY[distance_mask]
|
|
||||||
vZ = vZ[distance_mask]
|
|
||||||
|
|
||||||
print(f"Computing energies for {particle} ({treename})...")
|
print(f"Computing energies for {particle} ({treename})...")
|
||||||
print(f" Retained {np.sum(distance_mask)} / {len(distance_mask)} events after distance filter")
|
#print(f" Retained {np.sum(distance_mask)} / {len(distance_mask)} events after distance filter")
|
||||||
|
|
||||||
EA = energy_loss(particle, Ei, dA)
|
EA = energy_loss(particle, Eisx3, dA)
|
||||||
EC = energy_loss(particle, Ei, dC)
|
EC = energy_loss(particle, Eisx3, dC)
|
||||||
Esx3 = energy_loss(particle, Ei, dsx3)
|
Esx3 = energy_loss(particle, Eisx3, dsx3)
|
||||||
|
Eqqq = energy_loss(particle, Eiqqq, dqqq)
|
||||||
|
|
||||||
Elost = Ei - Esx3
|
Elost = Eisx3 - Esx3
|
||||||
Eprop = EA - EC
|
Eprop = EA - EC
|
||||||
|
|
||||||
return {
|
return {
|
||||||
"particle": particle,
|
"particle": particle,
|
||||||
"Ei": Ei,
|
"Ei": Eisx3,
|
||||||
|
"thetabi": data["thetab"],
|
||||||
"sx3Z": sx3Z,
|
"sx3Z": sx3Z,
|
||||||
"EA": EA,
|
"EA": EA,
|
||||||
"EC": EC,
|
"EC": EC,
|
||||||
|
|
@ -384,7 +392,13 @@ def prepare_tree_data(tree, treename, particle, max_events=None, z_max=34.86):
|
||||||
"Eprop": Eprop,
|
"Eprop": Eprop,
|
||||||
"dA": dA,
|
"dA": dA,
|
||||||
"dC": dC,
|
"dC": dC,
|
||||||
"thetab": np.degrees(theta)
|
"thetab": np.degrees(theta),
|
||||||
|
"sx3X": sx3X,
|
||||||
|
"sx3Y": sx3Y,
|
||||||
|
"qqqX": qqqX,
|
||||||
|
"qqqY": qqqY,
|
||||||
|
"qqqZ": qqqZ,
|
||||||
|
"Eqqq": Eqqq
|
||||||
}
|
}
|
||||||
|
|
||||||
def process_file(filename, treename, particle=None, max_events=None):
|
def process_file(filename, treename, particle=None, max_events=None):
|
||||||
|
|
@ -970,6 +984,9 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
data = prepare_tree_data(self.tree, treename, particle, max_events=max_events)
|
data = prepare_tree_data(self.tree, treename, particle, max_events=max_events)
|
||||||
|
|
||||||
Ei = data["Ei"]
|
Ei = data["Ei"]
|
||||||
|
thetab = data["thetab"]
|
||||||
|
sx3X = data["sx3X"]
|
||||||
|
sx3Y = data["sx3Y"]
|
||||||
sx3Z = data["sx3Z"]
|
sx3Z = data["sx3Z"]
|
||||||
EA = data["EA"]
|
EA = data["EA"]
|
||||||
EC = data["EC"]
|
EC = data["EC"]
|
||||||
|
|
@ -978,6 +995,10 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
Eprop = data["Eprop"]
|
Eprop = data["Eprop"]
|
||||||
dA = data["dA"]
|
dA = data["dA"]
|
||||||
dC = data["dC"]
|
dC = data["dC"]
|
||||||
|
qqqX = data["qqqX"]
|
||||||
|
qqqY = data["qqqY"]
|
||||||
|
qqqZ = data["qqqZ"]
|
||||||
|
qqqE = data["Eqqq"]
|
||||||
|
|
||||||
update_plot_data(f"{particle}_{treename}_Ei", Ei)
|
update_plot_data(f"{particle}_{treename}_Ei", Ei)
|
||||||
update_plot_data(f"{particle}_{treename}_sx3Z", sx3Z)
|
update_plot_data(f"{particle}_{treename}_sx3Z", sx3Z)
|
||||||
|
|
@ -991,6 +1012,110 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
os.makedirs(base, exist_ok=True)
|
os.makedirs(base, exist_ok=True)
|
||||||
|
|
||||||
print(f"Saving plots to folder: {base} ({treename})")
|
print(f"Saving plots to folder: {base} ({treename})")
|
||||||
|
|
||||||
|
# --- clean data ---
|
||||||
|
x = np.asarray(sx3X, dtype=float)
|
||||||
|
y = np.asarray(sx3Y, dtype=float)
|
||||||
|
z = np.asarray(sx3Z, dtype=float)
|
||||||
|
c = np.asarray(Esx3, dtype=float)
|
||||||
|
qx = np.asarray(qqqX, dtype=float)
|
||||||
|
qy = np.asarray(qqqY, dtype=float)
|
||||||
|
qz = np.asarray(qqqZ, dtype=float)
|
||||||
|
qc = np.asarray(qqqE, dtype=float)
|
||||||
|
|
||||||
|
if x.size > 0 and False:
|
||||||
|
|
||||||
|
fig = plt.figure(figsize=(8,6))
|
||||||
|
ax = fig.add_subplot(111, projection='3d')
|
||||||
|
|
||||||
|
sc = ax.scatter(
|
||||||
|
x, y, z,
|
||||||
|
c=c,
|
||||||
|
cmap='viridis',
|
||||||
|
s=3,
|
||||||
|
alpha=0.8
|
||||||
|
)
|
||||||
|
|
||||||
|
ax.set_xlabel("SX3 X")
|
||||||
|
ax.set_ylabel("SX3 Y")
|
||||||
|
ax.set_zlabel("SX3 Z")
|
||||||
|
|
||||||
|
ax.set_title(f"{particle} ({treename}) SX3 3D Hit Map colored by Esx3")
|
||||||
|
|
||||||
|
cb = plt.colorbar(sc, ax=ax, pad=0.1)
|
||||||
|
cb.set_label("Esx3 (MeV)")
|
||||||
|
|
||||||
|
plt.tight_layout()
|
||||||
|
out_file = f"{base}/sx3_3D_energy.png"
|
||||||
|
plt.savefig(out_file, dpi=300)
|
||||||
|
plt.show()
|
||||||
|
|
||||||
|
fig = plt.figure(figsize=(8,6))
|
||||||
|
ax = fig.add_subplot(111, projection='3d')
|
||||||
|
|
||||||
|
sc = ax.scatter(
|
||||||
|
qx, qy, qz,
|
||||||
|
c=qc,
|
||||||
|
cmap='viridis',
|
||||||
|
s=3,
|
||||||
|
alpha=0.8
|
||||||
|
)
|
||||||
|
|
||||||
|
ax.set_xlabel("SX3 X")
|
||||||
|
ax.set_ylabel("SX3 Y")
|
||||||
|
ax.set_zlabel("SX3 Z")
|
||||||
|
|
||||||
|
ax.set_title(f"{particle} ({treename}) QQQ 3D Hit Map colored by qqqTb")
|
||||||
|
|
||||||
|
cb = plt.colorbar(sc, ax=ax, pad=0.1)
|
||||||
|
cb.set_label("qqqTb (MeV)")
|
||||||
|
|
||||||
|
plt.tight_layout()
|
||||||
|
out_file = f"{base}/QQQ_3D_energy.png"
|
||||||
|
plt.savefig(out_file, dpi=300)
|
||||||
|
plt.show()
|
||||||
|
|
||||||
|
else:
|
||||||
|
print("No valid SX3 points for 3D plot.")
|
||||||
|
|
||||||
|
mask1 = ~np.isnan(Ei) & ~np.isnan(thetab)
|
||||||
|
plt.figure(figsize=(7,6))
|
||||||
|
plt.hist2d(thetab[mask1], Ei[mask1], bins=200)
|
||||||
|
plt.xlabel("thetab")
|
||||||
|
plt.ylabel("Event Energy (MeV)")
|
||||||
|
plt.title(f"{particle} ({treename}) Energy vs Theta")
|
||||||
|
plt.colorbar(label="Counts")
|
||||||
|
#plt.xlim(0,30)
|
||||||
|
#plt.ylim(0,0.45)
|
||||||
|
plt.tight_layout()
|
||||||
|
plt.savefig(f"{base}/E_vs_theta.png", dpi=300)
|
||||||
|
plt.show()
|
||||||
|
|
||||||
|
mask1 = (Esx3 > 0) & ~np.isnan(thetab)
|
||||||
|
plt.figure(figsize=(7,6))
|
||||||
|
plt.hist2d(thetab[mask1], Esx3[mask1], bins=200)
|
||||||
|
plt.xlabel("thetab")
|
||||||
|
plt.ylabel("Esx3")
|
||||||
|
plt.title(f"{particle} ({treename}) sx3 Energy vs Theta")
|
||||||
|
plt.colorbar(label="Counts")
|
||||||
|
#plt.xlim(0,30)
|
||||||
|
#plt.ylim(0,0.45)
|
||||||
|
plt.tight_layout()
|
||||||
|
plt.savefig(f"{base}/sx3E_vs_theta.png", dpi=300)
|
||||||
|
plt.show()
|
||||||
|
|
||||||
|
mask1 = (qqqE > 0) & ~np.isnan(thetab)
|
||||||
|
plt.figure(figsize=(7,6))
|
||||||
|
plt.hist2d(thetab[mask1], qqqE[mask1], bins=200)
|
||||||
|
plt.xlabel("thetab")
|
||||||
|
plt.ylabel("E-QQQ")
|
||||||
|
plt.title(f"{particle} ({treename}) QQQ Energy vs Theta")
|
||||||
|
plt.colorbar(label="Counts")
|
||||||
|
#plt.xlim(0,30)
|
||||||
|
#plt.ylim(0,0.45)
|
||||||
|
plt.tight_layout()
|
||||||
|
plt.savefig(f"{base}/QQQE_vs_theta.png", dpi=300)
|
||||||
|
plt.show()
|
||||||
|
|
||||||
plt.figure(figsize=(7,5))
|
plt.figure(figsize=(7,5))
|
||||||
plt.hist(Elost, bins=200)
|
plt.hist(Elost, bins=200)
|
||||||
|
|
@ -1014,18 +1139,6 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
plt.legend(loc='upper right')
|
plt.legend(loc='upper right')
|
||||||
plt.show()
|
plt.show()
|
||||||
|
|
||||||
try:
|
|
||||||
plt.figure(figsize=(7,5))
|
|
||||||
plt.hist(sx3Z, bins=100)
|
|
||||||
plt.xlabel("SX3 Z")
|
|
||||||
plt.ylabel("Counts")
|
|
||||||
plt.title(f"{particle} ({treename}) SX3 Position Distribution")
|
|
||||||
plt.grid(True)
|
|
||||||
plt.tight_layout()
|
|
||||||
plt.savefig(f"{base}/sx3Z_hist.png", dpi=300)
|
|
||||||
plt.show()
|
|
||||||
except ValueError:
|
|
||||||
print("Value error")
|
|
||||||
|
|
||||||
plt.figure(figsize=(7,5))
|
plt.figure(figsize=(7,5))
|
||||||
plt.hist(dA, bins=100, label='dA', histtype='step')
|
plt.hist(dA, bins=100, label='dA', histtype='step')
|
||||||
|
|
@ -1053,8 +1166,9 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
print("Value error")
|
print("Value error")
|
||||||
|
|
||||||
try:
|
try:
|
||||||
|
mask = Esx3 > 0
|
||||||
plt.figure(figsize=(7,6))
|
plt.figure(figsize=(7,6))
|
||||||
plt.hist2d(EA, Esx3, bins=200)
|
plt.hist2d(EA[mask], Esx3[mask], bins=200)
|
||||||
plt.xlabel("EA (MeV)")
|
plt.xlabel("EA (MeV)")
|
||||||
plt.ylabel("Esx3 (MeV)")
|
plt.ylabel("Esx3 (MeV)")
|
||||||
plt.title(f"{particle} ({treename}) Anode vs SX3 Energy")
|
plt.title(f"{particle} ({treename}) Anode vs SX3 Energy")
|
||||||
|
|
@ -1081,7 +1195,7 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
try:
|
try:
|
||||||
mask1 = ~np.isnan(Esx3) & (Esx3 > 0)
|
mask1 = ~np.isnan(Esx3) & (Esx3 > 0)
|
||||||
plt.figure(figsize=(7,6))
|
plt.figure(figsize=(7,6))
|
||||||
plt.hist2d(Esx3[mask1], Eprop[mask1], bins=200)
|
plt.hist2d(Esx3[mask1], Eprop[mask1] * data["thetab"][mask1], bins=200)
|
||||||
plt.ylabel("PCEnergy")
|
plt.ylabel("PCEnergy")
|
||||||
plt.xlabel("SX3 Energy (MeV)")
|
plt.xlabel("SX3 Energy (MeV)")
|
||||||
plt.title(f"{particle} ({treename}) Energy Propagation Difference vs SX3 Energy")
|
plt.title(f"{particle} ({treename}) Energy Propagation Difference vs SX3 Energy")
|
||||||
|
|
@ -1094,21 +1208,10 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
except ValueError:
|
except ValueError:
|
||||||
print("Value error")
|
print("Value error")
|
||||||
|
|
||||||
try:
|
#try:
|
||||||
mask1 = ~np.isnan(Ei) & (Esx3 > 0)
|
|
||||||
plt.figure(figsize=(7,6))
|
#except ValueError:
|
||||||
plt.hist2d(data["thetab"], Ei, bins=200)
|
# print("Value error")
|
||||||
plt.xlabel("thetab")
|
|
||||||
plt.ylabel("Event Energy (MeV)")
|
|
||||||
plt.title(f"{particle} ({treename}) Energy vs Theta")
|
|
||||||
plt.colorbar(label="Counts")
|
|
||||||
#plt.xlim(0,30)
|
|
||||||
#plt.ylim(0,0.45)
|
|
||||||
plt.tight_layout()
|
|
||||||
plt.savefig(f"{base}/E_vs_theta.png", dpi=300)
|
|
||||||
plt.show()
|
|
||||||
except ValueError:
|
|
||||||
print("Value error")
|
|
||||||
|
|
||||||
|
|
||||||
branch_names = []
|
branch_names = []
|
||||||
|
|
@ -1126,9 +1229,8 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
all_branches = self.tree.arrays(branch_names, library="np", entry_stop=max_events)
|
all_branches = self.tree.arrays(branch_names, library="np", entry_stop=max_events)
|
||||||
|
|
||||||
# Keep only events with thetab >= 45
|
# Keep only events with thetab >= 45
|
||||||
#thetab_mask = all_branches["thetab"] >= 0
|
#mask = (all_branches["Tb"] > 0) & (all_branches["qqqTb"] > 0)
|
||||||
|
|
||||||
|
|
||||||
for branch in branch_names:
|
for branch in branch_names:
|
||||||
values = all_branches[branch]
|
values = all_branches[branch]
|
||||||
|
|
||||||
|
|
@ -1143,7 +1245,7 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
continue
|
continue
|
||||||
|
|
||||||
# Apply the thetab cut
|
# Apply the thetab cut
|
||||||
values = values
|
#values = values[mask]
|
||||||
|
|
||||||
values = values[~np.isnan(values)]
|
values = values[~np.isnan(values)]
|
||||||
|
|
||||||
|
|
@ -1164,6 +1266,8 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
plt.close()
|
plt.close()
|
||||||
else:
|
else:
|
||||||
print("No branches found to histogram.")
|
print("No branches found to histogram.")
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
print(f"Plotting complete ({treename}).")
|
print(f"Plotting complete ({treename}).")
|
||||||
|
|
||||||
|
|
@ -1408,8 +1512,8 @@ class MyInteractiveApp(cmd.Cmd):
|
||||||
plt.margins(0)
|
plt.margins(0)
|
||||||
plt.xlabel("SX3 Energy (MeV)")
|
plt.xlabel("SX3 Energy (MeV)")
|
||||||
plt.ylabel("PCEnergy x Sin(theta)")
|
plt.ylabel("PCEnergy x Sin(theta)")
|
||||||
plt.xlim(0,35)
|
#plt.xlim(0,35)
|
||||||
plt.ylim(0,0.6)
|
#plt.ylim(0,0.6)
|
||||||
cbar = plt.colorbar()
|
cbar = plt.colorbar()
|
||||||
cbar.set_label("Counts")
|
cbar.set_label("Counts")
|
||||||
plt.minorticks_on()
|
plt.minorticks_on()
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue
Block a user