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from builtins import range
import math
import ROOT
from TkAlStyle import TkAlStyle
dirNameList=["z","r","phi"]# in general directions are labeled z=0 r =1 phi =2 throughout this, I should probably think of something more elegant
detNameList = ("BPIX", "FPIX", "TIB", "TID", "TOB", "TEC")
def subdetCondition(subdet,module,overlap):
if (subdet+1 == 1 and (module == 1 or overlap ==1))or (subdet+1== 2 and (module == 0 or overlap == 0))or ((subdet+1== 3 or subdet+1== 5) and (overlap != 2 or module == 1))or ((subdet+1== 4 or subdet+1== 6) and (overlap != 2 or module == 0)):
return True
else:
return False
def hist(tree_file_name, hist_name,subdet_ids,module_directions,overlap_directions,profile_directions):
f = ROOT.TFile(tree_file_name)
t = f.Get("analysis/Overlaps")
h = []
for subdet in range(6):#Creates a 4-D list of empty histograms for permutations of subdetector, overlap direction, module direction and profile direction.
h.append([])
for module in range(3):
h[subdet].append([])
for overlap in range(3):
h[subdet][module].append([])
for profile in range(4):
if subdetCondition(subdet,module,overlap):
h[subdet][module][overlap].append(0)
continue
name = hist_name + "{0}_{1}_{2}".format(dirNameList[module],dirNameList[overlap],detNameList[subdet])
if not ((subdet_ids[subdet]) and (module_directions[module]) and (profile_directions[profile]) and overlap_directions[overlap]): #puts a 0 in any unwanted plots
h[subdet][module][overlap].append(0)
continue
if (profile>0):
if profile == 3: bins, xmin, xmax = 10, -math.pi, math.pi
if subdet+1 == 1 and profile == 1: bins, xmin, xmax = 10, -30, -30
if subdet+1 == 2 and profile == 1: bins, xmin, xmax = 40, -60, 60
if subdet+1 == 3 and profile == 1: bins, xmin, xmax = 10, -70, 70
if subdet+1 == 4 and profile == 1: bins, xmin, xmax = 40, -110, 110
if subdet+1 == 5 and profile == 1: bins, xmin, xmax = 10, -110, 110
if subdet+1 == 6 and profile == 1: bins, xmin, xmax = 20, -280, 280
if subdet+1 == 1 and profile == 2: bins, xmin, xmax = 10, 0, 20
if subdet+1 == 2 and profile == 2: bins, xmin, xmax = 10, 0, 20
if subdet+1 == 3 and profile == 2: bins, xmin, xmax = 10, 20, 55
if subdet+1 == 4 and profile == 2: bins, xmin, xmax = 10, 20, 55
if subdet+1 == 5 and profile == 2: bins, xmin, xmax = 10, 55, 110
if subdet+1 == 6 and profile == 2: bins, xmin, xmax = 10, 20, 110
h[subdet][module][overlap].append(ROOT.TProfile(hist_name, hist_name, bins, xmin, xmax))
elif subdet+1==4 or subdet+1==6:
h[subdet][module][overlap].append(ROOT.TH1F(name, name, 100, -5000, 5000))
else:
h[subdet][module][overlap].append(ROOT.TH1F(name, name, 100, -300, 300))
h[subdet][module][overlap][profile].SetDirectory(0)
nentries = t.GetEntries()
for i, entry in enumerate(t, start=1):#loops through the tree, filling in relevant histograms for each event
if i % 10000 == 0 or i == nentries:
print(i, "/", nentries)
subdet_id = t.subdetID
if subdet_ids[subdet_id-1]==False:
continue
modulePhi0 = math.atan2(t.moduleY[0], t.moduleX[0])
modulePhi1 = math.atan2(t.moduleY[1], t.moduleX[1])
phidiff = min(abs(modulePhi0-modulePhi1), abs(math.pi - abs(modulePhi0-modulePhi1)))
moduleR0 = math.sqrt(t.moduleY[0]**2+t.moduleX[0]**2)
moduleR1 = math.sqrt(t.moduleY[1]**2+t.moduleX[1]**2)
#determines the direction the modules are in respect to each other for each event
if subdet_id%2 == 1 and ((abs(t.moduleZ[0] - t.moduleZ[1]) > 1)):
module_direction = 0 #0 refers to Z, 1 to R and 2 to phi
elif subdet_id%2 == 0 and (abs(moduleR0 - moduleR1)>1):
module_direction = 1
elif ((moduleR0*phidiff)>1):
module_direction = 2
else: #prints if this method of selecting module_direction misses anything
print(str(i)+" skipped")
continue
if module_directions[module_direction]==False:
continue
avgList=[(t.moduleZ[0]+t.moduleZ[1])/2,(moduleR0+moduleR1)/2,(modulePhi0+modulePhi1)/2]
if overlap_directions[2]:
overlap_direction = 2
if modulePhi0 > modulePhi1:
hitXA = t.hitX[1]
hitXB = t.hitX[0]
predXA = t.predX[1]
predXB = t.predX[0]
overlapSignA = t.localxdotglobalphi[1]
overlapSignB = t.localxdotglobalphi[0]
else:
hitXA = t.hitX[0]
hitXB = t.hitX[1]
predXA = t.predX[0]
predXB = t.predX[1]
overlapSignA = t.localxdotglobalphi[0]
overlapSignB = t.localxdotglobalphi[1]
residualA = hitXA - predXA
residualB = hitXB - predXB
if overlapSignA < 0:
residualA *= -1
if overlapSignB < 0:
residualB *= -1
A = 10000*(residualA - residualB)
h[subdet_id-1][module_direction][overlap_direction][0].Fill(A)
for profile in range(3):
if profile_directions[profile+1]:
h[subdet_id-1][module_direction][overlap_direction][profile+1].Fill(avgList[profile],A)
if subdet_id==1 and module_direction != 1 and overlap_directions[0]:
overlap_direction = 0
if t.moduleZ[0] > t.moduleZ[1]:
hitXA = t.hitY[1]
hitXB = t.hitY[0]
predXA = t.predY[1]
predXB = t.predY[0]
overlapSignA = t.localydotglobalz[1]
overlapSignB = t.localydotglobalz[0]
else:
hitXA = t.hitY[0]
hitXB = t.hitY[1]
predXA = t.predY[0]
predXB = t.predY[1]
overlapSignA = t.localydotglobalz[0]
overlapSignB = t.localydotglobalz[1]
residualA = hitXA - predXA
residualB = hitXB - predXB
if overlapSignA < 0:
residualA *= -1
if overlapSignB < 0:
residualB *= -1
A = 10000*(residualA - residualB)
h[subdet_id-1][module_direction][overlap_direction][0].Fill(A)
for profile in range(3):
if profile_directions[profile+1]:
h[subdet_id-1][module_direction][overlap_direction][profile+1].Fill(avgList[profile],A)
if subdet_id==2 and module_direction !=0 and overlap_directions[1]:
overlap_direction = 1
if moduleR0 > moduleR1:
hitXA = t.hitY[1]
hitXB = t.hitY[0]
predXA = t.predY[1]
predXB = t.predY[0]
overlapSignA = t.localydotglobalr[1]
overlapSignB = t.localydotglobalr[0]
else:
hitXA = t.hitY[0]
hitXB = t.hitY[1]
predXA = t.predY[0]
predXB = t.predY[1]
overlapSignA = t.localydotglobalr[0]
overlapSignB = t.localydotglobalr[1]
residualA = hitXA - predXA
residualB = hitXB - predXB
if overlapSignA < 0:
residualA *= -1
if overlapSignB < 0:
residualB *= -1
A = 10000*(residualA - residualB)
h[subdet_id-1][module_direction][overlap_direction][0].Fill(A)
for profile in range(3):
if profile_directions[profile+1]:
h[subdet_id-1][module_direction][overlap_direction][profile+1].Fill(avgList[profile],A)
return h
def plot(file_name,subdet_ids,module_directions,overlap_directions,profile_directions,*filesTitlesColorsStyles):
legend=[]
hstack=[]
for subdet in range(6):#creates lists of empty THStacks and legends to be filled later
hstack.append([])
legend.append([])
for module in range(3):
hstack[subdet].append([])
legend[subdet].append([])
for overlap in range(3):
hstack[subdet][module].append([])
legend[subdet][module].append([])
for profile in range(4):
if subdetCondition(subdet,module,overlap):
hstack[subdet][module][overlap].append(0)
legend[subdet][module][overlap].append(0)
continue
if not ((subdet_ids[subdet]) and (module_directions[module]) and (profile_directions[profile]) and overlap_directions[overlap]):
legend[subdet][module][overlap].append(0)
hstack[subdet][module][overlap].append(0)
continue
else:
hstack[subdet][module][overlap].append(ROOT.THStack("hstack",""))
legend[subdet][module][overlap].append(TkAlStyle.legend(len(filesTitlesColorsStyles), 1))
legend[subdet][module][overlap][profile].SetBorderSize(0)
legend[subdet][module][overlap][profile].SetFillStyle(0)
for files, title, color, style in filesTitlesColorsStyles:
h = hist(files,files.replace("/",""),subdet_ids,module_directions,overlap_directions,profile_directions)
for subdet in range(6):
for module in range(3):
for overlap in range(3):
if subdetCondition(subdet,module,overlap):
continue
for profile in range(4):
if not((subdet_ids[subdet]) and (module_directions[module]) and (profile_directions[profile]) and overlap_directions[overlap]):
continue
g = h[subdet][module][overlap][profile]
g.SetLineColor(color)
g.SetLineStyle(style)
hMean = g.GetMean(1)
hMeanError = g.GetMeanError(1)
if (profile==0):
legend[subdet][module][overlap][profile].AddEntry(g, title + ", mean = {0}#pm{1}#mum ".format(round(hMean,3),round(hMeanError,3)), "l")
g.Scale(1 / g.Integral())
else:
legend[subdet][module][overlap][profile].AddEntry(g, title, "l")
hstack[subdet][module][overlap][profile].Add(g)
for subdet in range(6):
for module in range(3):
for overlap in range(3):
if subdetCondition(subdet,module,overlap):
continue
for profile in range(4):
if not((subdet_ids[subdet]) and (module_directions[module]) and (profile_directions[profile]) and overlap_directions[overlap]):
continue
currLegend = legend[subdet][module][overlap][profile]
currhstack = hstack[subdet][module][overlap][profile]
currhstack.SetMaximum(currhstack.GetMaximum("nostack") * 1.2)
c = ROOT.TCanvas()
currhstack.Draw("hist nostack" if profile == 0 else "nostack")
currLegend.Draw()
xTitle = "hit_{A} - pred_{A} - (hit_{B} - pred_{B}) (#mum)"
yTitle="fraction of events"
save_as_file_name = file_name + "{0}_{1}_{2}".format(dirNameList[module],dirNameList[overlap],detNameList[subdet])
if profile>0:
save_as_file_name = file_name +"Profiles/profile_{0}_{1}_{2}_{3}".format(dirNameList[module],dirNameList[overlap],detNameList[subdet],dirNameList[profile-1])
yTitle= xTitle
xTitle= dirNameList[profile-1]
currhstack.GetXaxis().SetTitle(xTitle)
currhstack.GetYaxis().SetTitle(yTitle)
if profile==0:
currhstack.GetXaxis().SetNdivisions(404)
TkAlStyle.drawStandardTitle()
for ext in "png", "eps", "root", "pdf":
c.SaveAs(save_as_file_name+"." +ext)
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