/
fast_assemble.py
465 lines (415 loc) · 20.7 KB
/
fast_assemble.py
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##
## This is the powerhouse file that opens the files, stacks the
## respective data from the files (its attributes), then calls for
## histogram fits, pulls the fits and statistics, and then packages
## it into readable and small files.
##
## Running as of 08/19/2015
##
import ROOT as rt
import sys, random, math
import time
import os
import numpy as np
import stackNfit as snf
#opens the files for the barrel
def openEB(filename, fileList, runinfo, startfilepos, endfilepos, entries, histList1, histList2, transList1, transList2):
rTree = rt.TChain("Tree_Optim")
for k in range(startfilepos, endfilepos):
if filename in fileList[k]:
rTree.Add(fileList[k])
print "successfully cut branch from " + fileList[k]
#Saving run info in tuple list
runinfo = np.vstack((runinfo, [fileList[k]]))
#fills the histogram with data
if isinstance(histList1[0],list) == True: #Individual barrel crystals
if histList2 !=0:
histList1, histList2, transList1, transList2 = snf.stackTime(rTree, entries, histList1, histList2, 1, 0, transList1,transList2, 0, 0)
else:
histList1, transList1 = snf.stackTime(rTree, entries, histList1, 0, 0, 0, transList1, 0, 0, 0)
else: #eta baby eta
if histList2!=0:
histList1, histList2, transList1, transList2 = snf.stackTimeEta(rTree, entries, histList1, histList2, transList1, transList2)
else:
histList1, transList1 = snf.stackTimeEta(rTree, entries, histList1, 0, transList1, 0)
return runinfo
#opens the files for the barrel
def openEE(filename, fileList, runinfo, startfilepos, endfilepos, entries, histListp1, histListm1, histListp2, histListm2, transListp1, transListm1, transListp2, transListm2):
rTree = rt.TChain("Tree_Optim")
for k in range(startfilepos, endfilepos):
if filename in fileList[k]:
rTree.Add(fileList[k])
print "successfully cut branch from " + fileList[k]
#Saving run info in tuple list
runinfo = np.vstack((runinfo, [fileList[k]]))
#fills the histogram with data
if histListm2 != 0: #Differentiating photon 1 and 2
histListp1, histListm1, histListp2, histListm2, transListp1, transListm1, transListp2, transListm2 = snf.stackTime(rTree, entries, histListp1, histListm1, histListp2, histListm2, transListp1, transListm1, transListp2, transListm2)
else: #Combine photon 1 and 2
histListp1, histListm1, transListp1, transListm1 = snf.stackTime(rTree, entries, histListp1, histListm1, 0, 0, transListp1, transListm1, 0, 0)
return runinfo
#opens the files for the barrel
def openMass(filename, fileList, runinfo, startfilepos, endfilepos, entries, histList, histRun):
rTree = rt.TChain("Tree_Optim")
for k in range(startfilepos, endfilepos):
if filename in fileList[k]:
rTree.Add(fileList[k])
print "successfully cut branch from " + fileList[k]
#Saving run info in tuple list
runinfo = np.vstack((runinfo, [fileList[k]]))
#makes the histogram for pi0 mass
histname = "Average Pi0 mass in Barrel for time instance (%s)" %(fileList[k])
histtitle = "Pi0 mass (GeV) for ROOT file cluster (%s)" %(fileList[k])
histmass = rt.TH1F(histname,histtitle,1000,0,1)
#fills the mass histogram list with ROOT files oriented folder
histmass = snf.stackMass(rTree,histmass)
histList.append(copy.copy(histmass))
#Fills large histogram for the entire run's dataset
histRun = snf.stackMass(rTree,histRun)
return runinfo, histList, histrun
#saves the histograms, fits, and others for the barrel
def saveEB(runNumber, dataList1, dataList2, histList1, histList2, transList1, transList2, htime1, htime2, hlaser1, hlaser2, fitdata1, fitdata2, seedmap1, seedmap2):
if isinstance(histList1[0],list) == True: #Individual barrel crystals
if histList2 !=0:
f = rt.TFile("IndivTimeEB_p1_" + runNumber + ".root","new")
for eta in range(0,len(histList1)):
for phi in range(0, len(histList1[0])):
histList1[eta][phi].Write()
transList1[eta][phi].Write()
#Saving value of data in tuple list
dataList1 = np.append(dataList1, [0, eta-85, phi, fitdata1[eta][phi][0],fitdata1[eta][phi][1],fitdata1[eta][phi][2],fitdata1[eta][phi][3],fitdata1[eta][phi][4],fitdata1[eta][phi][5],fitdata1[eta][phi][6]])
htime1.Write()
hlaser1.Write()
if seedmap1 != 0:
seedmap1.Write()
f.Close()
f2 = rt.TFile("IndivTimeEB_p2_" + runNumber + ".root","new")
for eta in range(0,len(histList2)):
for phi in range(0, len(histList2[0])):
histList2[eta][phi].Write()
transList2[eta][phi].Write()
#Saving value of data in tuple list
dataList2 = np.append(dataList2, [0, eta-85, phi, fitdata2[eta][phi][0],fitdata2[eta][phi][1],fitdata2[eta][phi][2],fitdata2[eta][phi][3],fitdata2[eta][phi][4],fitdata2[eta][phi][5],fitdata1[eta][phi][6]])
htime2.Write()
hlaser2.Write()
if seedmap1 != 0:
seedmap2.Write()
f2.Close()
dataList1.shape = (171,361,10)
dataList2.shape = (171,361,10)
np.save("dataEB_p1_" + runNumber + ".npy", dataList1)
np.save("dataEB_p2_" + runNumber + ".npy", dataList2)
else:
#saving all 1D histograms in tree
f = rt.TFile("IndivTimeEB_c_" + runNumber + ".root","new")
for eta in range(0,len(histList1)):
for phi in range(0, len(histList1[0])):
histList1[eta][phi].Write()
transList1[eta][phi].Write()
#Saving value of data in tuple list
dataList1 = np.append(dataList1, [0, eta-85, phi, fitdata1[eta][phi][0],fitdata1[eta][phi][1],fitdata1[eta][phi][2],fitdata1[eta][phi][3],fitdata1[eta][phi][4],fitdata1[eta][phi][5],fitdata1[eta][phi][6]])
htime1.Write()
hlaser1.Write()
if seedmap1 != 0:
seedmap1.Write()
f.Close()
dataList1.shape = (171,361,10)
np.save("dataEB_c_" + runNumber + ".npy", dataList1)
else: #clustertimeEB
if histList2 !=0:
f = rt.TFile("ClusterTimeEB_p1_" + runNumber + ".root","new")
for eta in range(0,len(histList1)):
histList1[eta].Write()
transList1[eta].Write()
#Saving value of data in tuple list
dataList1 = np.append(dataList1, [0, eta-85, fitdata1[eta][0],fitdata1[eta][1],fitdata1[eta][2],fitdata1[eta][3],fitdata1[eta][4],fitdata1[eta][5],fitdata1[eta][6]])
htime1.Write()
hlaser1.Write()
if seedmap1 != 0:
seedmap1.Write()
f.Close()
f2 = rt.TFile("ClusterTimeEB_p2_" + runNumber + ".root","new")
for eta in range(0,len(histList2)):
histList2[eta].Write()
transList2[eta].Write()
#Saving value of data in tuple list
dataList2 = np.append(dataList2, [0, eta-85, fitdata2[eta][0],fitdata2[eta][1],fitdata2[eta][2],fitdata2[eta][3],fitdata2[eta][4],fitdata2[eta][5],fitdata1[eta][6]])
htime2.Write()
hlaser2.Write()
if seedmap1 != 0:
seedmap2.Write()
f2.Close()
#formatting and saving all data into a numpy file for analyzing later
dataList1.shape = (171,9)
dataList2.shape = (171,9)
np.save("EtadataEB_p1_" + runNumber + ".npy", dataList1)
np.save("EtadataEB_p2_" + runNumber + ".npy", dataList2)
else:
f = rt.TFile("ClusterTimeEB_c_" + runNumber + ".root","new")
for eta in range(0,len(histList1)):
histList1[eta].Write()
#Saving value of data in tuple list
dataList1 = np.append(dataList1, [0, eta-85, fitdata1[eta][0],fitdata1[eta][1],fitdata1[eta][2],fitdata1[eta][3],fitdata1[eta][4],fitdata1[eta][5],fitdata1[eta][6]])
htime1.Write()
hlaser1.Write()
if seedmap1 != 0:
seedmap1.Write()
f.Close()
#formatting and saving all data into a numpy file for analyzing later
dataList1.shape = (171,9)
np.save("EtadataEB_c_" + runNumber + ".npy", dataList1)
#saves the histograms, fits, and others for the barrel
def saveEE(runNumber,dataListp,dataListm,histListp1,histListp2,histListm1,histListm2,transListp1,transListp2,transListm1,transListm2,htimep1,htimep2,htimem1,htimem2,hlaserp1,hlaserp2,hlaserm1,hlaserm2,fitdatap1,fitdatap2,fitdatam1,fitdatam2,seedmapp1,seedmapp2,seedmapm1,seedmapm2):
if histListp2 != 0: #2 photons
f = rt.TFile("IndivTimeEEp_p1p2_" + runNumber + ".root","new")
for x in range(0,len(histListp1)):
for y in range(0, len(histListp1[0])):
histListp1[x][y].Write()
histListp2[x][y].Write()
transListp1[x][y].Write()
transListp2[x][y].Write()
#Saving value of data in tuple list
dataListp = np.append(dataListp, [0, "p1", x, y, fitdatap1[x][y][0],fitdatap1[x][y][1],fitdatap1[x][y][2],fitdatap1[x][y][3],fitdatap1[x][y][4],fitdatap1[x][y][5],fitdatap1[x][y][6]])
dataListp = np.append(dataListp, [0, "p2", x, y, fitdatap2[x][y][0],fitdatap2[x][y][1],fitdatap2[x][y][2],fitdatap2[x][y][3],fitdatap2[x][y][4],fitdatap2[x][y][5],fitdatap2[x][y][6]])
htimep1.Write()
htimep2.Write()
hlaserp1.Write()
hlaserp2.Write()
if seedmapp1 != 0:
seedmapp1.Write()
if seedmapp2 !=0:
seedmapp2.Write()
f.Close()
f2 = rt.TFile("IndivTimeEEm_p1p2_" + runNumber + ".root","new")
for x in range(0,len(histListm1)):
for y in range(0, len(histListm1[0])):
histListm1[x][y].Write()
histListm2[x][y].Write()
transListm1[x][y].Write()
transListm2[x][y].Write()
#Saving value of data in tuple list
dataListm = np.append(dataListm, [0, "m1", x, y, fitdatam1[x][y][0],fitdatam1[x][y][1],fitdatam1[x][y][2],fitdatam1[x][y][3],fitdatam1[x][y][4],fitdatam1[x][y][5],fitdatam1[x][y][6]])
dataListm = np.append(dataListm, [0, "m2", x, y, fitdatam2[x][y][0],fitdatam2[x][y][1],fitdatam2[x][y][2],fitdatam2[x][y][3],fitdatam2[x][y][4],fitdatam2[x][y][5],fitdatam2[x][y][6]])
htimem1.Write()
htimem2.Write()
hlaserm1.Write()
hlaserm2.Write()
if seedmapm1 != 0:
seedmapm1.Write()
if seedmapm2 !=0:
seedmapm2.Write()
f2.Close()
dataListp.shape = (101,101,2,11)
dataListm.shape = (101,101,2,11)
np.save("dataEEp_p1p2_" + runNumber + ".npy", dataListp)
np.save("dataEEm_p1p2_" + runNumber + ".npy", dataListm)
else:
f = rt.TFile("IndivTimeEEp_c_" + runNumber + ".root","new")
for x in range(0,len(histListp1)):
for y in range(0, len(histListp1[0])):
histListp1[x][y].Write()
transListp1[x][y].Write()
dataListp = np.append(dataListp, [0, "p", x, y, fitdatap1[x][y][0],fitdatap1[x][y][1],fitdatap1[x][y][2],fitdatap1[x][y][3],fitdatap1[x][y][4],fitdatap1[x][y][5],fitdatap1[x][y][6]])
htimep1.Write()
hlaserp1.Write()
if seedmapp1 != 0:
seedmapp1.Write()
f.Close()
f2 = rt.TFile("IndivTimeEEm_c_" + runNumber + ".root","new")
for x in range(0,len(histListm1)):
for y in range(0, len(histListm1[0])):
histListm1[x][y].Write()
transListm1[x][y].Write()
dataListm = np.append(dataListm, [0, "m", x, y, fitdatam1[x][y][0],fitdatam1[x][y][1],fitdatam1[x][y][2],fitdatam1[x][y][3],fitdatam1[x][y][4],fitdatam1[x][y][5],fitdatam1[x][y][6]])
htimem1.Write()
hlaserm1.Write()
if seedmapm1 != 0:
seedmapm1.Write()
f2.Close()
#formatting and saving all data into a numpy file for analyzing later
dataListp.shape = (101,101,11)
dataListm.shape = (101,101,11)
np.save("dataEEp_c_" + runNumber + ".npy", dataListp)
np.save("dataEEm_c_" + runNumber + ".npy", dataListm)
#draws the graphs you want to see and saves them as .png in respective folders
def printPrettyPictureEB(runNumber,htime1,htime2,hlaser1,hlaser2,seedmap1,seedmap2):
#Gets rid of legend
rt.gStyle.SetOptStat(0)
#creates permanent background canvas
rt.gROOT.LoadMacro('setstyle.c')
rt.gROOT.Macro('setstyle.c')
c = rt.TCanvas("c","c",900,600)
c.cd()
if type(htime1) != rt.TH1F: #Individual crystals
if htime2 != 0:
htime1.SetAxisRange(-5., 5.,"Z")
htime1.Draw("colz")
htime1.GetYaxis().SetTitleOffset(1.15)
htime1.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEB_p1_" + runNumber + ".png")
hlaser1.SetAxisRange(0., 1.,"Z")
hlaser1.Draw("colz")
hlaser1.GetYaxis().SetTitleOffset(1.15)
hlaser1.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEB_p1_" + runNumber + ".png")
htime2.SetAxisRange(-5., 5.,"Z")
htime2.Draw("colz")
htime2.GetYaxis().SetTitleOffset(1.15)
htime2.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEB_p2_" + runNumber + ".png")
hlaser2.SetAxisRange(0., 1.,"Z")
hlaser2.Draw("colz")
hlaser2.GetYaxis().SetTitleOffset(1.15)
hlaser2.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEB_p2_" + runNumber + ".png")
else:
htime1.SetAxisRange(-5., 5.,"Z")
htime1.Draw("colz")
htime1.GetYaxis().SetTitleOffset(1.15)
htime1.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEB_c_" + runNumber + ".png")
hlaser1.SetAxisRange(0., 1.,"Z")
hlaser1.Draw("colz")
hlaser1.GetYaxis().SetTitleOffset(1.15)
hlaser1.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEB_c_" + runNumber + ".png")
else:
if htime2 != 0:
htime1.SetAxisRange(-85,85,"X")
htime1.Draw("E1")
c.Print("EtaTimeResponseEB_p1_" + runNumber + ".png")
hlaser1.SetAxisRange(0., 1.,"Y")
hlaser1.Draw("colz")
hlaser1.GetYaxis().SetTitleOffset(1.15)
hlaser1.GetZaxis().SetTitleOffset(1.1)
c.Print("EtaLaserTransparencyEB_p1_" + runNumber + ".png")
htime2.SetAxisRange(-85,85,"X")
htime2.Draw("E1")
c.Print("EtaTimeResponseEB_p2_" + runNumber + ".png")
hlaser2.SetAxisRange(0., 1.,"X")
hlaser2.Draw("colz")
hlaser2.GetYaxis().SetTitleOffset(1.15)
hlaser2.GetZaxis().SetTitleOffset(1.1)
c.Print("EtaLaserTransparencyEB_p2_" + runNumber + ".png")
else:
htime1.SetAxisRange(-85,85,"X")
htime1.Draw("E1")
c.Print("EtaTimeResponseEB_c_" + runNumber + ".png")
hlaser1.SetAxisRange(0., 1.,"X")
hlaser1.Draw("colz")
hlaser1.GetYaxis().SetTitleOffset(1.15)
hlaser1.GetZaxis().SetTitleOffset(1.1)
c.Print("EtaLaserTransparencyEB_c_" + runNumber + ".png")
if seedmap1 != 0: #print 1 seed map
if type(htime1) != rt.TH1F: #individual crystal
seedmap1.SetMinimum(0.)
seedmap1.Draw("colz")
seedmap1.GetYaxis().SetTitleOffset(1.15)
else:
seedmap1.SetMinimum(0.)
seedmap1.SetAxisRange(-85,85,"X")
seedmap1.Draw()
c.Print("SeedDensityEB_" + runNumber + ".png")
if seedmap2 != 0: #print both seed maps
if type(htime1) != rt.TH1F: #individual crystal
seedmap2.SetMinimum(0.)
seedmap2.Draw("colz")
seedmap2.GetYaxis().SetTitleOffset(1.15)
else:
seedmap2.SetMinimum(0.)
seedmap2.SetAxisRange(-85,85,"X")
seedmap2.Draw()
c.Print("SeedDensityEB_p2_" + runNumber + ".png")
#close the canvas
c.Close()
#draws the graphs you want to see and saves them as .png in respective folders
def printPrettyPictureEE(runNumber,htimep1,htimep2,htimem1,htimem2,hlaserp1,hlaserp2,hlaserm1,hlaserm2,seedmapp1,seedmapm1,seedmapp2,seedmapm2):
#Gets rid of legend
rt.gStyle.SetOptStat(0)
#creates permanent background canvas
rt.gROOT.LoadMacro('setstyle.c')
rt.gROOT.Macro('setstyle.c')
c = rt.TCanvas("c","c",600,500)
c.cd()
if type(htimep2) == rt.TH2F:
htimep1.SetAxisRange(-5., 5.,"Z")
htimep1.Draw("colz")
htimep1.GetYaxis().SetTitleOffset(1.1)
htimep1.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEEp_p1_" + runNumber + ".png")
hlaserp1.SetAxisRange(0., 1.,"Z")
hlaserp1.Draw("colz")
hlaserp1.GetYaxis().SetTitleOffset(1.1)
hlaserp1.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEEp_p1_" + runNumber + ".png")
htimep2.SetAxisRange(-5., 5.,"Z")
htimep2.Draw("colz")
htimep2.GetYaxis().SetTitleOffset(1.1)
htimep2.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEEp_p2_" + runNumber + ".png")
hlaserp2.SetAxisRange(0., 1.,"Z")
hlaserp2.Draw("colz")
hlaserp2.GetYaxis().SetTitleOffset(1.1)
hlaserp2.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEEp_p2_" + runNumber + ".png")
htimem1.SetAxisRange(-5., 5.,"Z")
htimem1.Draw("colz")
htimem1.GetYaxis().SetTitleOffset(1.1)
htimem1.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEEm_p1_" + runNumber + ".png")
hlaserm1.SetAxisRange(0., 1.,"Z")
hlaserm1.Draw("colz")
hlaserm1.GetYaxis().SetTitleOffset(1.1)
hlaserm1.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEEm_p1_" + runNumber + ".png")
htimem2.SetAxisRange(-5., 5.,"Z")
htimem2.Draw("colz")
htimem2.GetYaxis().SetTitleOffset(1.1)
htimem2.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEEm_p2_" + runNumber + ".png")
hlaserm2.SetAxisRange(0., 1.,"Z")
hlaserm2.Draw("colz")
hlaserm2.GetYaxis().SetTitleOffset(1.1)
hlaserm2.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEEm_p2_" + runNumber + ".png")
else:
htimep1.SetAxisRange(-5., 5.,"Z")
htimep1.Draw("colz")
htimep1.GetYaxis().SetTitleOffset(1.1)
htimep1.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEEp_c_" + runNumber + ".png")
hlaserp1.SetAxisRange(0., 1.,"Z")
hlaserp1.Draw("colz")
hlaserp1.GetYaxis().SetTitleOffset(1.1)
hlaserp1.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEEp_c_" + runNumber + ".png")
htimem1.SetAxisRange(-5., 5.,"Z")
htimem1.Draw("colz")
htimem1.GetYaxis().SetTitleOffset(1.1)
htimem1.GetZaxis().SetTitleOffset(0.8)
c.Print("IndivTimeResponseEEm_c_" + runNumber + ".png")
hlaserm1.SetAxisRange(0., 1.,"Z")
hlaserm1.Draw("colz")
hlaserm1.GetYaxis().SetTitleOffset(1.1)
hlaserm1.GetZaxis().SetTitleOffset(1.1)
c.Print("IndivLaserTransparencyEEm_c_" + runNumber + ".png")
if seedmapp1 != 0: #print 1 seed map
seedmapp1.SetMinimum(0.)
seedmapp1.Draw("colz")
seedmapp1.GetYaxis().SetTitleOffset(1.1)
c.Print("SeedDensityEEp_" + runNumber + ".png")
seedmapm1.SetMinimum(0.)
seedmapm1.Draw("colz")
seedmapm1.GetYaxis().SetTitleOffset(1.1)
c.Print("SeedDensityEEm_" + runNumber + ".png")
if seedmapp2 != 0: #print both seed maps
seedmapp2.SetMinimum(0.)
seedmapp2.Draw("colz")
seedmapp2.GetYaxis().SetTitleOffset(1.1)
c.Print("SeedDensityEEp_p2_" + runNumber + ".png")
seedmapm2.SetMinimum(0.)
seedmapm2.Draw("colz")
seedmapm2.GetYaxis().SetTitleOffset(1.1)
c.Print("SeedDensityEEm_p2_" + runNumber + ".png")
#close the canvas
c.Close()