From 6a4aac839db05a5f16fbcce9936291972e1a313b Mon Sep 17 00:00:00 2001 From: mdunser Date: Wed, 23 May 2018 12:27:44 +0200 Subject: [PATCH 1/2] a small iterative function for the likelihood scans --- .../python/plotter/w-helicity-13TeV/plotYW.py | 61 ++++++++++++++++++- 1 file changed, 59 insertions(+), 2 deletions(-) diff --git a/WMass/python/plotter/w-helicity-13TeV/plotYW.py b/WMass/python/plotter/w-helicity-13TeV/plotYW.py index 3260e4b8cc72..cf21c9ad5956 100755 --- a/WMass/python/plotter/w-helicity-13TeV/plotYW.py +++ b/WMass/python/plotter/w-helicity-13TeV/plotYW.py @@ -13,6 +13,38 @@ NPDFs = 60 +def getCleanedGraph(infile, par, norm, n_iter, treename='limit'): + f = ROOT.TFile(infile,'read') + tree = f.Get(treename) + vals = [] + normval = norm if norm else 1. + for ev in tree: + if 2.*ev.deltaNLL > 10: continue + vals.append( [getattr(ev, par)/normval, 2.*ev.deltaNLL] ) + vals = sorted(vals) + + + for i in range(n_iter): + print 'at iteration', i + graph = ROOT.TGraph(len(vals), array.array('d', [x[0] for x in vals]), array.array('d', [y[1] for y in vals]) ) + graph.Fit('pol2') + ff = graph.GetFunction('pol2') + distances = [] + for v1,v2 in vals: + distances.append(abs(ff.Eval(v1) - v2)) + im = distances.index(max(distances)) + distances.pop(im) + vals.pop(im) + + graph = ROOT.TGraph(len(vals), array.array('d', [x[0] for x in vals]), array.array('d', [y[1] for y in vals]) ) + if len(vals) < 10: break + + graph.SetName(par+'_graph_it{i:.0f}'.format(i=i)) + utilities.graphStyle(graph) + + return graph + + if __name__ == "__main__": from optparse import OptionParser @@ -28,6 +60,11 @@ parser.add_option( '--suffix' , dest='suffix' , default='' , type='string', help='suffix for the correlation matrix') (options, args) = parser.parse_args() + + if not os.path.isdir(options.outdir): + os.system('mkdir {od}'.format(od=options.outdir)) + os.system('cp /afs/cern.ch/user/m/mdunser/index.php {od}'.format(od=options.outdir)) + if options.ybinfile: ybinfile = options.ybinfile else: @@ -134,6 +171,10 @@ ## else take the errors from the likelihood scans else: + gcanv = ROOT.TCanvas() + if not os.path.isdir(options.outdir+'/scans/'): + os.system('mkdir {od}/scans/'.format(od=options.outdir)) + os.system('cp /afs/cern.ch/user/m/mdunser/index.php {od}/scans/'.format(od=options.outdir)) for par in parameters: ## first hadd all the point files into one scan file named scan_.root absopath = os.path.abspath(options.scandir) @@ -143,11 +184,27 @@ ## get the parameter value now tmp_val = ws.var(par).getVal() ## get the graph of the scan, and then fit a pol2 and solve the equation for errors - tmp_graph = utilities.getGraph(ofn, par, norm=tmp_val) + ## marc marc tmp_graph = utilities.getGraph(ofn, par, norm=tmp_val) + ## marc marc (cen, dn, up) = utilities.getErrorFromGraph(tmp_graph) + tmp_graph = getCleanedGraph(ofn, par, norm=tmp_val, n_iter = 15) + tmp_graph.Fit('pol2') + tmp_graph.Draw('ap') + +## ================= + ## make some plots of the likelihood scans + ## draw a line at 2.*deltaNLL = 1. + tmp_line = ROOT.TLine(tmp_graph.GetXaxis().GetXmin(), 1., tmp_graph.GetXaxis().GetXmax(), 1.) + tmp_line.SetLineStyle(7); tmp_line.SetLineWidth(2); + tmp_line.Draw('same') + gcanv.SaveAs('{od}/scans/scan_{p}.pdf'.format(od=options.outdir,p=par)) + gcanv.SaveAs('{od}/scans/scan_{p}.png'.format(od=options.outdir,p=par)) + +## ================= + (cen, dn, up) = utilities.getErrorFromGraph(tmp_graph) ## put that into the same container as before. have to multiply the things back in fitval[par] = tmp_val*cen - fiterr[par] = tmp_val*dn ## take just one for now + fiterr[par] = tmp_val*(cen-dn)/cen ## take just one for now totalrate_fit += fitval[par] ## done getting the uncertainties From bf9923173733ccc3b0ac4b79c663b4bb8fa8a392 Mon Sep 17 00:00:00 2001 From: mdunser Date: Wed, 23 May 2018 16:04:23 +0200 Subject: [PATCH 2/2] file with theory variations without any cut. but with PU reweight --- 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