Nckw add example teststat plots

docs/part3/commonstatsmethods.md

@@ -599,10 +599,21 @@ The distributions of the test-statistic can also be plotted, at each value in th
 python test/plotTestStatCLs.py --input mygrid.root --poi r --val all --mass MASS
 ```
 
-The resulting output file will contain a canvas showing the distribution of the test statistic background only and signal+background hypothesis at each value of **r**. Use `--help` to see more options for this script.
+The resulting output file will contain a canvas showing the distribution of the test statistic background only and signal+background hypothesis at each value of **r**. Use `--help` to see more options for this script. 
 
 !!! info
-    If you used the TEV or LEP style test statistic (using the commands as described above), then you should include the option `--doublesided`, which will also take care of defining the correct integrals for $p_{\mu}$ and $p_{b}$.
+    If you used the TEV or LEP style test statistic (using the commands as described above), then you should include the option `--doublesided`, which will also take care of defining the correct integrals for $p_{\mu}$ and $p_{b}$. Click on the examples below to see what a typical output of this plotting tool will look like when using the LHC test statistic, or TEV test statistic. 
+
+<details>
+<summary><b>qLHC test stat example</b></summary>
+![](images/exampleLHC.jpg)
+</details>
+
+<details>
+<summary><b>qTEV test stat example</b></summary>
+![](images/exampleTEV.jpg)
+</details>
+
 
 ## Computing Significances with toys
 

test/plotTestStatCLs.py

@@ -15,6 +15,7 @@
 ROOT.gROOT.SetBatch(1)
 ROOT.gROOT.ProcessLine(".L $CMSSW_BASE/src/HiggsAnalysis/CombinedLimit/test/plotting/hypoTestResultTree.cxx")
 ROOT.gROOT.ProcessLine(".L $CMSSW_BASE/src/HiggsAnalysis/CombinedLimit/test/plotting/qmuPlot.cxx")
+ROOT.gStyle.SetOptStat(0)
 
 from ROOT import hypoTestResultTree, q0Plot, qmuPlot
 
@@ -42,6 +43,14 @@
     type="str",
     help="poi values, comma separated (type all to make a plot for every value found in the file)",
 )
+parser.add_option(
+    "",
+    "--sub-label",
+    default="",
+    type="str",
+    dest="sub_label",
+    help="change sub-label from q to q_sub_label (doesn't apply if using --signif option",
+)
 parser.add_option(
     "-r",
     "--rebin",
@@ -99,6 +108,14 @@
     default=False,
     help="If --signif, Force plotting of both distributions (including for signal injected).",
 )
+parser.add_option(
+    "",
+    "--save-as-pdf",
+    dest="save_as_pdf",
+    action="store_true",
+    default=False,
+    help="Save plots as pdfs as well as Canvases in root files.",
+)
 (options, args) = parser.parse_args()
 
 if options.quantileExpected >= 0:
@@ -167,8 +184,11 @@ def findPOIvals(fi, m):
                 options.rebin,
                 options.expected,
                 options.quantileExpected,
+                options.sub_label,
             )
         canvases.append(can.Clone())
+        if options.save_as_pdf:
+            can.SaveAs(options.output + "_" + can.GetName() + ".pdf")
         ft.Close()
 ofile = ROOT.TFile(options.output, "RECREATE")
 for can in canvases:

test/plotting/qmuPlot.cxx

@@ -202,7 +202,7 @@ TCanvas *q0Plot(float mass, std::string poinam , float poival, int rebin=0, bool
 
 
 
-TCanvas *qmuPlot(float mass, std::string poinam, double poival, int mode=0, int invert=0,int rebin=0, int runExpected_=0, double quantileExpected_=0.5) {
+TCanvas *qmuPlot(float mass, std::string poinam, double poival, int mode=0, int invert=0,int rebin=0, int runExpected_=0, double quantileExpected_=0.5,std::string testStatSublabel="") {
     if (gFile == 0) { std::cerr << "You must have a file open " << std::endl; return 0; }
     TTree *t = (TTree *) gFile->Get("q");
     if (t == 0) { std::cerr << "File " << gFile->GetName() << " does not contain a tree called 'q'" << std::endl; return 0; }
@@ -213,6 +213,16 @@ TCanvas *qmuPlot(float mass, std::string poinam, double poival, int mode=0, int
     TH1F *qB;
     TH1F *qS;
 
+    // check if should use --doublesided (mode==1) option 
+    if (mode==0) {
+    	TH1F *qTest;
+        t->Draw("2*q>>qTest","weight*(type==-1)");
+	qTest = (TH1F*) gROOT->FindObject("qTest")->Clone();
+	if (qTest->Integral(1,qTest->FindBin(0)) > 0.3*qTest->Integral()) {
+	    std::cout << "WARNING -- It looks like you are using either the TEV or LEP style test-statistic. If so, you should use the option --doublesided" << std::endl;
+	}
+    }
+
     if (mode==0) t->Draw("max(2*q,0)>>qB","weight*(type==-1)");
     else t->Draw("2*q>>qB","weight*(type==-1)");
 
@@ -321,7 +331,9 @@ TCanvas *qmuPlot(float mass, std::string poinam, double poival, int mode=0, int
     }
     leg1->AddEntry(qO, "observed value", "L");
 
-    TLegend *leg2 = new TLegend(.63,.67,.93,.48);
+    TLegend *leg2; 
+    if (mode==0) leg2 = new TLegend(.63,.67,.93,.48);
+    else leg2 = new TLegend(.13,.87,.43,.68);
     leg2->SetFillColor(0);
     leg2->SetShadowColor(0);
     leg2->SetTextFont(42);
@@ -354,7 +366,8 @@ TCanvas *qmuPlot(float mass, std::string poinam, double poival, int mode=0, int
     leg2->Draw();
     qB->SetTitle("");
     qB->GetYaxis()->SetTitle("");
-    qB->GetXaxis()->SetTitle(Form("q_{%s}(%s = %g, m_{H} = %g GeV)",poinam.c_str(),poinam.c_str(),poival,mass));
+    if (testStatSublabel.length()>0) qB->GetXaxis()->SetTitle(Form("q_{%s}(%s = %g, m_{H} = %g GeV)",testStatSublabel.c_str(),poinam.c_str(),poival,mass));
+    else qB->GetXaxis()->SetTitle(Form("q_{%s}(%s = %g, m_{H} = %g GeV)",poinam.c_str(),poinam.c_str(),poival,mass));
     qB->GetXaxis()->SetTitleOffset(1.05);