| 1 |
dhidas |
1.1 |
#
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# 31 Mar 2010
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# Plots (signed) Delta = (est-true)/true, for QCD estimate
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#
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#---------------------------------------------------------------
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from __future__ import division
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from ROOT import *
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n = 4;
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nrange = 9;
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plot_average_est = True;
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# free in 12j, fix in 34j
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constrain_gaus_mean_12j = False;
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show_free_fit_res_34j = True;
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# landau free
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#bool show_free_fit_res_34j = true;
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#const bool constrain_gaus_mean_12j = true;
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# gaus mean-constrained in 12j, fix in 34j
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def plot_qcd_estimate_gaus_mean12j():
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constrain_gaus_mean_12j = true;
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show_free_fits_res_34j = false;
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plot_qcd_estimate( "gaus" );
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def setStyle():
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gROOT.SetStyle( "Plain" );
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gStyle.SetTextFont( 42 );
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gStyle.SetLabelFont( 42, "xy" );
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gStyle.SetFrameFillColor( 0 );
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gStyle.SetTitleBorderSize( 0 );
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gStyle.SetTitleH( 0.06 );
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gStyle.SetPadTopMargin( 0.15 );
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gStyle.SetOptFit( 1 );
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gStyle.SetPalette( 1 );
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gStyle.SetPadTickX( 1 );
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gStyle.SetPadTickY( 1 );
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def plot_qcd_estimate( func = "gaus" ):
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setStyle();
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if constrain_gaus_mean_12j:
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show_free_fit_res_34j = False;
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x = [1, 2, 3, 4]
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xx = [3, 4]
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x12j = [1, 2]
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# Gaus (Free-fits)
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result = open( "est_free_%s.txt" % func );
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#result.open(Form("gaus_mean_0.3to0.6_12j__rb5/est_free_%s.txt",func));
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m = nrange * ( 4 + 2 );
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est = []
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estFix = []
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max_dev = 0;
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max_dev_12j = 0;
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max_dev_34j = 0;
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max_dev_3j = 0;
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max_dev_4j = 0;
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max_dev_34j_fix = 0;
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max_dev_3j_fix = 0;
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max_dev_4j_fix = 0;
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# Free fits
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for i in range( 0, 4 * nrange ):
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est.append( result.readline() )
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if fabs( est[-1] ) > max_dev:
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max_dev = fabs( est[-1] );
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if i % 4 <= 1: #1,2j
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if fabs( est[-1] ) > max_dev_12j:
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max_dev_12j = fabs( est[-1] );
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elif i % 4 == 2 : #3j
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if fabs( est[-1] ) > max_dev_3j :
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max_dev_3j = fabs( est[-1] );
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elif i % 4 == 3: #4mj
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if fabs( est[-1] ) > max_dev_4j :
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max_dev_4j = fabs( est[-1] );
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if i % 4 == 0:
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print #first of 4
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print i % 4 + 1, "j est[", i, "] = ", est[i], " ";
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if i % 4 <= 1:
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print "max_dev_12j = ", max_dev_12j; #12j
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print endl;
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result.close();
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# Gaus (Constrained-fits in 3,4j)
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result.open( "est_fix_%s.txt" % func )
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#result.open(Form("gaus_mean_0.3to0.6_12j__rb5/est_fix_%s.txt",func));
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estFix2 = [];
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maxDevFix = 0;
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for i in range( 0, 4 * nrange ):
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# read in 3,4j only
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#print "amtb: i=", i
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if not constrain_gaus_mean_12j and i % 4 < 2:
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continue;
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estFix.append( result.readline() )
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estFix2.append( estFix[-1] );
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print i % 4 + 1, "j estFix[", i, "] = " , estFix[-1], " ", endl;
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#print "amtb: i=", i
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if fabs( estFix[-1] ) > maxDevFix :
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maxDevFix = fabs( estFix[-1] );
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if fabs( estFix[-1] ) > max_dev_34j_fix :
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max_dev_34j_fix = fabs( estFix[-1] );
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if i % 4 == 2:#3j
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if fabs( estFix[-1] ) > max_dev_3j_fix:
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max_dev_3j_fix = fabs( estFix[-1] );
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elif i % 4 == 3: #>=4j
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if fabs( estFix[-1] ) > max_dev_4j_fix:
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max_dev_4j_fix = fabs( estFix[-1] );
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for k in range( 0, len( estFix2 ) ):
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print "amtb: estFix2[", k, "]: ", estFix2[k]
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result.close();
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max_dev_34j_fix = TMath.Max( max_dev_3j_fix, max_dev_4j_fix );
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max_dev_34j = TMath.Max( max_dev_3j, max_dev_4j );
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print "maxDevFix: ", maxDevFix
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print "\nFor all ranges, |max| deviation is ", max_dev
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print "For 1,2j, |max| deviation is ", max_dev_12j
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print "For free fit (3j) |max| deviation is ", max_dev_3j
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print "For free fit (>=4j) |max| deviation is ", max_dev_4j
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print "For free fit (3,>=4j), |max| deviation is ", max_dev_34j
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print "For constrained fit (3j), |max| deviation is ", max_dev_3j_fix
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print "For constrained fit (>=4j), |max| deviation is ", max_dev_4j_fix
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print "For constrained fit (3,>=4j), |max| deviation is ", max_dev_34j_fix
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c2 = TCanvas( "c2", "QCD estimates", 600, 600 );
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y[nrange][4];
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index = 0;
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for i in range( 0, nrange ):
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for j in range( 0, 4 ):
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y[i][j] = est[index]; #read in
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index += 1
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#print "index="<<index<< endl;
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#print y[i][j]<<endl;;
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yy12j = [[0, 0] for x in xrange( nrange )]
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yy34j = [[0, 0] for x in xrange( nrange )]
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# ix=0;
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jj = 0;
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for i in range( 0, nrange ):
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jj += 1
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yy12j[i][0] = estFix[jj];#1j
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jj += 1
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yy12j[i][1] = estFix[jj];#2j
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jj += 1
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yy34j[i][0] = estFix[jj];#3j
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jj += 1
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yy34j[i][1] = estFix[jj];#4mj
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#print "index="<<index<< endl;
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gStyle.SetMarkerSize( 1.7 );
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gStyle.SetMarkerStyle( 20 );
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c2.SetTopMargin( 0.1 );
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c2.SetLeftMargin( 0.12 );
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c2.SetRightMargin( 0.35 );
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gr1;
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gr2;
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gr3;
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gr4;
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gr5;
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gr6;
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gr7;
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gr8;
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gr9;
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if constrain_gaus_mean_12j == False:
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if show_free_fit_res_34j:
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#draw free-fit results for 1-4j
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gr1 = TGraph( n, x, y[1 - 1] );
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gr2 = TGraph( n, x, y[2 - 1] );
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gr3 = TGraph( n, x, y[3 - 1] );
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gr4 = TGraph( n, x, y[4 - 1] );
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gr5 = TGraph( n, x, y[5 - 1] );
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gr6 = TGraph( n, x, y[6 - 1] );
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gr7 = TGraph( n, x, y[7 - 1] );
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gr8 = TGraph( n, x, y[8 - 1] );
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gr9 = TGraph( n, x, y[9 - 1] );
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else:
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#draw: free-fit results for 1-2j, OR
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# gaus-mean-limited in 1,2j
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gr1 = TGraph( 2, x12j, y[1 - 1] );
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gr2 = TGraph( 2, x12j, y[2 - 1] );
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gr3 = TGraph( 2, x12j, y[3 - 1] );
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gr4 = TGraph( 2, x12j, y[4 - 1] );
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gr5 = TGraph( 2, x12j, y[5 - 1] );
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gr6 = TGraph( 2, x12j, y[6 - 1] );
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gr7 = TGraph( 2, x12j, y[7 - 1] );
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gr8 = TGraph( 2, x12j, y[8 - 1] );
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gr9 = TGraph( 2, x12j, y[9 - 1] );
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| 224 |
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| 225 |
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else:
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gr1 = TGraph( 2, x12j, yy12j[1 - 1] );
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gr2 = TGraph( 2, x12j, yy12j[2 - 1] );
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gr3 = TGraph( 2, x12j, yy12j[3 - 1] );
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gr4 = TGraph( 2, x12j, yy12j[4 - 1] );
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gr5 = TGraph( 2, x12j, yy12j[5 - 1] );
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gr6 = TGraph( 2, x12j, yy12j[6 - 1] );
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gr7 = TGraph( 2, x12j, yy12j[7 - 1] );
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gr8 = TGraph( 2, x12j, yy12j[8 - 1] );
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gr9 = TGraph( 2, x12j, yy12j[9 - 1] );
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# constrained
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gr_1 = TGraph( 2, xx, yy34j[1 - 1] );
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gr_2 = TGraph( 2, xx, yy34j[2 - 1] );
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gr_3 = TGraph( 2, xx, yy34j[3 - 1] );
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gr_4 = TGraph( 2, xx, yy34j[4 - 1] );
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gr_5 = TGraph( 2, xx, yy34j[5 - 1] );
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gr_6 = TGraph( 2, xx, yy34j[6 - 1] );
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gr_7 = TGraph( 2, xx, yy34j[7 - 1] );
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gr_8 = TGraph( 2, xx, yy34j[8 - 1] );
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gr_9 = TGraph( 2, xx, yy34j[9 - 1] );
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| 247 |
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| 248 |
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gr1.SetMarkerColor( kGreen + 1 );
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| 249 |
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gr2.SetMarkerColor( kGreen + 2 );
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| 250 |
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gr3.SetMarkerColor( kGreen + 3 );
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| 251 |
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gr4.SetMarkerColor( kAzure + 7 );
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| 252 |
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gr5.SetMarkerColor( kAzure - 3 );
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| 253 |
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gr6.SetMarkerColor( kBlue );
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| 254 |
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gr7.SetMarkerColor( kOrange );
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| 255 |
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gr8.SetMarkerColor( kOrange - 1 );
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| 256 |
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gr9.SetMarkerColor( kOrange - 6 );
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| 257 |
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| 258 |
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gr_1.SetMarkerColor( kGreen + 1 );
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| 259 |
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gr_2.SetMarkerColor( kGreen + 2 );
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| 260 |
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gr_3.SetMarkerColor( kGreen + 3 );
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| 261 |
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gr_4.SetMarkerColor( kAzure + 7 );
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| 262 |
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gr_5.SetMarkerColor( kAzure - 3 );
|
| 263 |
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gr_6.SetMarkerColor( kBlue );
|
| 264 |
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gr_7.SetMarkerColor( kOrange );
|
| 265 |
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gr_8.SetMarkerColor( kOrange - 1 );
|
| 266 |
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gr_9.SetMarkerColor( kOrange - 6 );
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| 267 |
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| 268 |
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| 269 |
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gr_1.SetMarkerStyle( 22 );
|
| 270 |
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gr_2.SetMarkerStyle( 22 );
|
| 271 |
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gr_3.SetMarkerStyle( 22 );
|
| 272 |
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gr_4.SetMarkerStyle( 22 );
|
| 273 |
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gr_5.SetMarkerStyle( 22 );
|
| 274 |
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gr_6.SetMarkerStyle( 22 );
|
| 275 |
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gr_7.SetMarkerStyle( 22 );
|
| 276 |
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gr_8.SetMarkerStyle( 22 );
|
| 277 |
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gr_9.SetMarkerStyle( 22 );
|
| 278 |
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| 279 |
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| 280 |
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| 281 |
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# To get desired x range, draw blank histo
|
| 282 |
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gStyle.SetTitleW( 0.9 );
|
| 283 |
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gStyle.SetTitleH( 0.05 );#?
|
| 284 |
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if func == "gaus":
|
| 285 |
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h = TH1D( "h", "Variation of QCD estimates with fit range (Gaussian)", 4, 0.5, 4.5 );
|
| 286 |
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elif func == "pol3":
|
| 287 |
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h = TH1D( "h", "Variation of QCD estimates with fit range (Pol3)", 4, 0.5, 4.5 );
|
| 288 |
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elif func == "landau":
|
| 289 |
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h = TH1D( "h", "Variation of QCD estimates with fit range (Landau)", 4, 0.5, 4.5 );
|
| 290 |
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|
| 291 |
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| 292 |
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h.SetStats( kFALSE ); # no statistics
|
| 293 |
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h.Draw();
|
| 294 |
|
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h.SetYTitle( "Deviation = (Est-True)/True" );
|
| 295 |
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|
| 296 |
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show_range = int( max_dev ) + 1;
|
| 297 |
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if constrain_gaus_mean_12j:
|
| 298 |
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show_range = int( max_dev ) + 1;
|
| 299 |
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|
| 300 |
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print "show_range: ", show_range
|
| 301 |
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|
| 302 |
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h.GetYaxis().SetRangeUser( 0 - show_range, show_range );
|
| 303 |
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h.GetXaxis().SetRangeUser( 0.5, 5.5 );
|
| 304 |
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h.GetXaxis().SetBinLabel( 1., "1j" );
|
| 305 |
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h.GetXaxis().SetBinLabel( 2., "2j" );
|
| 306 |
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h.GetXaxis().SetBinLabel( 3., "3j" );
|
| 307 |
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h.GetXaxis().SetBinLabel( 4., "#geq4j" );
|
| 308 |
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h.GetXaxis().SetLabelSize( 0.07 );
|
| 309 |
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h.GetYaxis().SetTitleOffset( 1.3 );
|
| 310 |
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| 311 |
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| 312 |
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# Free-fits
|
| 313 |
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gr1.Draw( "P" );
|
| 314 |
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gr2.Draw( "P" ); #to superimpose graphs, do not re-draw axis
|
| 315 |
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gr3.Draw( "P" );
|
| 316 |
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gr4.Draw( "P" );
|
| 317 |
|
|
gr5.Draw( "P" );
|
| 318 |
|
|
gr6.Draw( "P" );
|
| 319 |
|
|
gr7.Draw( "P" );
|
| 320 |
|
|
gr8.Draw( "P" );
|
| 321 |
|
|
gr9.Draw( "P" );
|
| 322 |
|
|
|
| 323 |
|
|
if not show_free_fit_res_34j:
|
| 324 |
|
|
# Constrained fits
|
| 325 |
|
|
gr_1.Draw( "P" );
|
| 326 |
|
|
gr_2.Draw( "P" );
|
| 327 |
|
|
gr_3.Draw( "P" );
|
| 328 |
|
|
gr_4.Draw( "P" );
|
| 329 |
|
|
gr_5.Draw( "P" );
|
| 330 |
|
|
gr_6.Draw( "P" );
|
| 331 |
|
|
gr_7.Draw( "P" );
|
| 332 |
|
|
gr_8.Draw( "P" );
|
| 333 |
|
|
gr_9.Draw( "P" );
|
| 334 |
|
|
|
| 335 |
|
|
c2.SetGrid( 1, 1 );
|
| 336 |
|
|
|
| 337 |
|
|
leg = TLegend( 0.65, 0.1, 0.98, 0.9 );
|
| 338 |
|
|
leg.SetFillColor( 0 );
|
| 339 |
|
|
# leg.SetTextFont(62);
|
| 340 |
|
|
if func != "gaus" or not constrain_gaus_mean_12j:
|
| 341 |
|
|
leg.AddEntry( gr1, "Free: 0.1-1.0", "p" );
|
| 342 |
|
|
leg.AddEntry( gr2, "Free: 0.1-1.2", "p" );
|
| 343 |
|
|
leg.AddEntry( gr3, "Free: 0.1-1.4", "p" );
|
| 344 |
|
|
leg.AddEntry( gr4, "Free: 0.2-1.1", "p" );
|
| 345 |
|
|
leg.AddEntry( gr5, "Free: 0.2-1.3", "p" );
|
| 346 |
|
|
leg.AddEntry( gr6, "Free: 0.2-1.5", "p" );
|
| 347 |
|
|
leg.AddEntry( gr7, "Free: 0.3-1.2", "p" );
|
| 348 |
|
|
leg.AddEntry( gr8, "Free: 0.3-1.4", "p" );
|
| 349 |
|
|
leg.AddEntry( gr9, "Free: 0.3-1.6", "p" );
|
| 350 |
|
|
|
| 351 |
|
|
if func == "gaus" and constrain_gaus_mean_12j:
|
| 352 |
|
|
leg.AddEntry( gr1, "#mu-constr.: 0.1-1.0", "p" );
|
| 353 |
|
|
leg.AddEntry( gr2, "#mu-constr.: 0.1-1.2", "p" );
|
| 354 |
|
|
leg.AddEntry( gr3, "#mu-constr.: 0.1-1.4", "p" );
|
| 355 |
|
|
leg.AddEntry( gr4, "#mu-constr.: 0.2-1.1", "p" );
|
| 356 |
|
|
leg.AddEntry( gr5, "#mu-constr.: 0.2-1.3", "p" );
|
| 357 |
|
|
leg.AddEntry( gr6, "#mu-constr.: 0.2-1.5", "p" );
|
| 358 |
|
|
leg.AddEntry( gr7, "#mu-constr.: 0.3-1.2", "p" );
|
| 359 |
|
|
leg.AddEntry( gr8, "#mu-constr.: 0.3-1.4", "p" );
|
| 360 |
|
|
leg.AddEntry( gr9, "#mu-constr.: 0.3-1.6", "p" );
|
| 361 |
|
|
|
| 362 |
|
|
if not show_free_fit_res_34j:
|
| 363 |
|
|
leg.AddEntry( gr_1, "Constrained: 0.1-1.0", "p" );
|
| 364 |
|
|
leg.AddEntry( gr_2, "Constrained: 0.1-1.2", "p" );
|
| 365 |
|
|
leg.AddEntry( gr_3, "Constrained: 0.1-1.4", "p" );
|
| 366 |
|
|
leg.AddEntry( gr_4, "Constrained: 0.2-1.1", "p" );
|
| 367 |
|
|
leg.AddEntry( gr_5, "Constrained: 0.2-1.3", "p" );
|
| 368 |
|
|
leg.AddEntry( gr_6, "Constrained: 0.2-1.5", "p" );
|
| 369 |
|
|
leg.AddEntry( gr_7, "Constrained: 0.3-1.2", "p" );
|
| 370 |
|
|
leg.AddEntry( gr_8, "Constrained: 0.3-1.4", "p" );
|
| 371 |
|
|
leg.AddEntry( gr_9, "Constrained: 0.3-1.6", "p" );
|
| 372 |
|
|
|
| 373 |
|
|
leg.Draw();
|
| 374 |
|
|
if func == "gaus":
|
| 375 |
|
|
c2.SaveAs( "qcd_estimate_gaus.gif" );
|
| 376 |
|
|
elif( func == "pol3" ):
|
| 377 |
|
|
c2.SaveAs( "qcd_estimate_pol3.gif" );
|
| 378 |
|
|
elif( func == "landau" ):
|
| 379 |
|
|
c2.SaveAs( "qcd_estimate_landau.gif" );
|
| 380 |
|
|
|
| 381 |
|
|
|
| 382 |
|
|
h.GetYaxis().SetRangeUser( -1, 1 );
|
| 383 |
|
|
c2.SaveAs( Form( "qcd_estimate_%s_zoom_11.gif", func ) );
|
| 384 |
|
|
|
| 385 |
|
|
h.GetYaxis().SetRangeUser( -2, 2 );
|
| 386 |
|
|
c2.SaveAs( Form( "qcd_estimate_%s_zoom_22.gif", func ) );
|
| 387 |
|
|
|
| 388 |
|
|
h.GetYaxis().SetRangeUser( -3, 3 );
|
| 389 |
|
|
c2.SaveAs( Form( "qcd_estimate_%s_zoom_33.gif", func ) );
|
| 390 |
|
|
|
| 391 |
|
|
h.GetYaxis().SetRangeUser( -6, 6 );
|
| 392 |
|
|
c2.SaveAs( Form( "qcd_estimate_%s_zoom_66.gif", func ) );
|
| 393 |
|
|
|
| 394 |
|
|
h.GetYaxis().SetRangeUser( -8, 8 );
|
| 395 |
|
|
c2.SaveAs( Form( "qcd_estimate_%s_zoom_88.gif", func ) );
|
| 396 |
|
|
|
| 397 |
|
|
|
| 398 |
|
|
|
| 399 |
|
|
#------------------------------
|
| 400 |
|
|
# Plot 2: Average of 9 ranges
|
| 401 |
|
|
#------------------------------
|
| 402 |
|
|
|
| 403 |
|
|
if plot_average_est:
|
| 404 |
|
|
average_1j;
|
| 405 |
|
|
average_2j;
|
| 406 |
|
|
average_3j;
|
| 407 |
|
|
average_4mj;
|
| 408 |
|
|
average_3j_fix;
|
| 409 |
|
|
average_4mj_fix;
|
| 410 |
|
|
|
| 411 |
|
|
for i in range( 0, nrange ):
|
| 412 |
|
|
average_1j += y[i][0];
|
| 413 |
|
|
average_2j += y[i][1];
|
| 414 |
|
|
average_3j += y[i][2];
|
| 415 |
|
|
average_4mj += y[i][3];
|
| 416 |
|
|
average_3j_fix += yy34j[i][0];
|
| 417 |
|
|
average_4mj_fix += yy34j[i][1];
|
| 418 |
|
|
|
| 419 |
|
|
average_1j = average_1j / nrange;
|
| 420 |
|
|
average_2j = average_2j / nrange;
|
| 421 |
|
|
average_3j = average_3j / nrange;
|
| 422 |
|
|
average_4mj = average_4mj / nrange;
|
| 423 |
|
|
average_3j_fix = average_3j_fix / nrange;
|
| 424 |
|
|
average_4mj_fix = average_4mj_fix / nrange;
|
| 425 |
|
|
print "------------------------------------------" << endl;
|
| 426 |
|
|
print "average of 9 ranges, 1j: ", average_1j << endl;
|
| 427 |
|
|
print "average of 9 ranges, 2j: ", average_2j
|
| 428 |
|
|
print "average of 9 ranges, 3j: ", average_3j_fix
|
| 429 |
|
|
print "average of 9 ranges, 4mj: ", average_4mj_fix
|
| 430 |
|
|
print "average of 9 ranges, 3j (free): ", average_3j
|
| 431 |
|
|
print "average of 9 ranges, 4mj (free): ", average_4mj
|
| 432 |
|
|
print "------------------------------------------" << endl;
|
| 433 |
|
|
|
| 434 |
|
|
x12 = [1, 2]
|
| 435 |
|
|
av12 = [ average_1j, average_2j ]
|
| 436 |
|
|
av34 = [ average_3j, average_4mj ]
|
| 437 |
|
|
av34fix = [ average_3j_fix, average_4mj_fix]
|
| 438 |
|
|
gra12 = TGraph( 2, x12, av12 );
|
| 439 |
|
|
gra34 = TGraph( 2, xx, av34 );
|
| 440 |
|
|
gra34fix = TGraph( 2, xx, av34fix );
|
| 441 |
|
|
|
| 442 |
|
|
|
| 443 |
|
|
c3 = TCanvas( "c3", "Average QCD estimate", 610, 10, 600, 600 );
|
| 444 |
|
|
c3.cd();
|
| 445 |
|
|
c3.SetGrid( 1, 1 );
|
| 446 |
|
|
c3.SetLeftMargin( 0.12 );
|
| 447 |
|
|
c3.SetRightMargin( 0.35 );
|
| 448 |
|
|
|
| 449 |
|
|
hh = h.Clone();
|
| 450 |
|
|
hh.GetYaxis().SetRangeUser( -1, 1 );
|
| 451 |
|
|
hh.SetTitle( Form( "Average QCD estimate (%s)", func ) );
|
| 452 |
|
|
hh.Draw();
|
| 453 |
|
|
|
| 454 |
|
|
gra12.SetMarkerColor( kRed );
|
| 455 |
|
|
gra34.SetMarkerColor( kRed );
|
| 456 |
|
|
gra34fix.SetMarkerColor( kGreen + 3 );
|
| 457 |
|
|
|
| 458 |
|
|
gra12.SetMarkerStyle( 29 );
|
| 459 |
|
|
gra34.SetMarkerStyle( 30 );
|
| 460 |
|
|
gra34fix.SetMarkerStyle( 29 );
|
| 461 |
|
|
|
| 462 |
|
|
gra12.SetMarkerSize( 2.5 );
|
| 463 |
|
|
gra34.SetMarkerSize( 2.5 );
|
| 464 |
|
|
gra34fix.SetMarkerSize( 2.5 );
|
| 465 |
|
|
|
| 466 |
|
|
gra12.Draw( "P" );
|
| 467 |
|
|
gra34.Draw( "P" );
|
| 468 |
|
|
gra34fix.Draw( "P" );
|
| 469 |
|
|
|
| 470 |
|
|
leg2 = TLegend( 0.65, 0.7, 0.98, 0.9 );
|
| 471 |
|
|
leg2.SetFillColor( 0 );
|
| 472 |
|
|
leg2.AddEntry( gra12, "Free fits (1,2j)", "p" );
|
| 473 |
|
|
leg2.AddEntry( gra34, "Free fits (3,#geq4j)", "p" );
|
| 474 |
|
|
leg2.AddEntry( gra34fix, "Constrained fits (3,#geq4j)", "p" );
|
| 475 |
|
|
leg2.Draw();
|
| 476 |
|
|
|
| 477 |
|
|
c3.SaveAs( Form( "qcd_estimate_%s_average.gif", func ) );
|
| 478 |
|
|
|
| 479 |
|
|
|
| 480 |
|
|
|
| 481 |
|
|
|
