示例#1
0
def plInterval(w, modelConfig, dataset, cl=0.95, poi="f", plot=False):
    out = {}
    calc = r.RooStats.ProfileLikelihoodCalculator(dataset, modelConfig)
    w.var("f").setVal(0.1) # was 0.1
    w.var("f").setConstant(False)

    calc.SetConfidenceLevel(0.95)
    interval = calc.GetInterval()
    out["low"] = interval.LowerLimit(w.var(poi))
    out["high"] = interval.UpperLimit(w.var(poi))

    if plot:
        canvas = r.TCanvas("pl")
        canvas.SetTickx()
        canvas.SetTicky()
        plPlot = r.RooStats.LikelihoodIntervalPlot(interval)
        plPlot.Draw()
        canvas.Write()
    utils.rootkill(interval)
    return out
示例#2
0
 def pValue(w, nToys, plot_name=None):
     results = rooFitResults(w.pdf("model"), dataset)
     w.saveSnapshot("snap", w.allVars())
     maxData = -results.minNll()
     maxs = []
     graph = r.TGraph()
     for i,dset in enumerate(pseudoData(w, nToys)):
         w.loadSnapshot("snap")
         results = rooFitResults(w.pdf("model"), dset)
         maxs.append(-results.minNll())
         graph.SetPoint(i, i, indexFraction(maxData, maxs))
         utils.rootkill(results)
     if plot:
         c = r.TCanvas(plot_name)
         graph.Draw("a*")
         c.Write()
         hist = histToList("%s_hist" % plot_name, "", 50, maxs)
         hist_actual = histToList("%s_hist_actual" % plot_name, "", 50, [0, maxData])
         hist.Write()
         hist_actual.Write()
     utils.rootkill(graph)
     return indexFraction(maxData, maxs)