void plotTree(TTree *tree_, std::string whichfit, std::string selectString){

	// Create a map for plotting the pullsummaries:
	std::map < const char*, std::pair <double,double> > pullSummaryMap;
	int nPulls=0;

	TObjArray *l_branches = tree_->GetListOfBranches();
	int nBranches = l_branches->GetEntries();

	TCanvas *c = new TCanvas("c","",960,800);

	std::string treename = tree_->GetName();
	c->SaveAs(Form("%s.pdf[",treename.c_str()));

	for (int iobj=0;iobj<nBranches;iobj++){

		TBranch *br =(TBranch*) l_branches->At(iobj);

		// Draw the normal histogram
		const char* name = br->GetName();
		bool fitPull=false;
		bool plotLH=false;

		TGraph *gr=0;
		double p_mean =0;
		double p_err  =0;

		int nToysInTree = tree_->GetEntries();
		if (doPull && findNuisancePre(name)){
			
			p_mean = bfvals_[name].first;	// toy constrainits thrown about best fit to data
			p_err  = prevals_[name].second; // uncertainties taken from card

			const char* drawInput = Form("(%s-%f)/%f",name,p_mean,p_err);
			tree_->Draw(Form("%s>>%s",drawInput,name),"");
			tree_->Draw(Form("%s>>%s_fail",drawInput,name),selectString.c_str(),"same");
			fitPull = true;
			if (doLH) {
			  gr = graphLH(name,p_err,whichfit);
			  plotLH=true;
			}
			
		}

		else{
			tree_->Draw(Form("%s>>%s",name,name),"");
			tree_->Draw(Form("%s>>%s_fail",name,name),"mu<0","same");
		}
		
		TH1F* bH  = (TH1F*) gROOT->FindObject(Form("%s",name))->Clone();
		TH1F* bHf = (TH1F*) gROOT->FindObject(Form("%s_fail",name))->Clone();
		bHf->SetLineColor(2);
		bH->GetXaxis()->SetTitle(bH->GetTitle());
		bH->GetYaxis()->SetTitle(Form("no toys (%d total)",nToysInTree));
		bH->GetYaxis()->SetTitleOffset(1.32);
		
		bH->SetTitle("");	

		if (fitPull) bH->Fit("gaus");
	
		c->Clear();
		TPad pad1("t1","",0.01,0.02,0.59,0.98);
		TPad pad2("t2","",0.59,0.04,0.98,0.62);
		TPad pad3("t3","",0.59,0.64,0.98,0.90);

		pad1.SetNumber(1); pad2.SetNumber(2); pad3.SetNumber(3);
		pad1.Draw(); pad2.Draw();pad3.Draw();
		pad2.SetGrid(true);

		c->cd(1); bH->Draw(); bHf->Draw("same");
		TLatex *titletext = new TLatex();titletext->SetNDC();titletext->SetTextSize(0.04); titletext->DrawLatex(0.1,0.95,name);
		TLegend *legend = new TLegend(0.6,0.8,0.9,0.89);
		legend->SetFillColor(0);
		legend->AddEntry(bH,"All Toys","L");
		legend->AddEntry(bHf,selectString.c_str(),"L");
		legend->Draw();

		if (doPull && plotLH) {
			c->cd(2); gr->Draw("ALP");
		}
		if (fitPull){
			c->cd(3);
			TLatex *tlatex = new TLatex(); tlatex->SetNDC(); tlatex->SetTextSize(0.12);
			tlatex->DrawLatex(0.15,0.75,Form("Mean    : %.3f #pm %.3f",bH->GetFunction("gaus")->GetParameter(1),bH->GetFunction("gaus")->GetParError(1)));
			tlatex->DrawLatex(0.15,0.60,Form("Sigma   : %.3f #pm %.3f",bH->GetFunction("gaus")->GetParameter(2),bH->GetFunction("gaus")->GetParError(2)));
			tlatex->DrawLatex(0.15,0.35,Form("Pre-fit : %.3f ",prevals_[name].first));
			tlatex->DrawLatex(0.15,0.2,Form("Best-fit (B)  : %.3f ",p_mean));
			tlatex->DrawLatex(0.15,0.05,Form("Best-fit (S+B): %.3f ",bfvals_sb_[name].first));
			
			pullSummaryMap[name]=std::make_pair<double,double>(bH->GetFunction("gaus")->GetParameter(1),bH->GetFunction("gaus")->GetParameter(2));
			nPulls++;

		}

		c->SaveAs(Form("%s.pdf",treename.c_str()));
	}
	
	if (doPull && nPulls>0){
	   
	    int nRemainingPulls = nPulls;
	    TCanvas *hc = new TCanvas("hc","",3000,2000); hc->SetGrid(0);
	    std::map < const char*, std::pair <double,double> >::iterator pull_it = pullSummaryMap.begin();
	    std::map < const char*, std::pair <double,double> >::iterator pull_end = pullSummaryMap.end();

	    while (nRemainingPulls > 0){

		int nThisPulls = min(15,nRemainingPulls);

		TH1F pullSummaryHist("pullSummary","",nThisPulls,0,nThisPulls);
		for (int pi=1;pull_it!=pull_end && pi<=nThisPulls ;pull_it++,pi++){
			pullSummaryHist.GetXaxis()->SetBinLabel(pi,(*pull_it).first);
			pullSummaryHist.SetBinContent(pi,((*pull_it).second).first);
			pullSummaryHist.SetBinError(pi,((*pull_it).second).second);
			nRemainingPulls--;
		}		

		pullSummaryHist.SetMarkerStyle(21);pullSummaryHist.SetMarkerSize(1.5);pullSummaryHist.SetMarkerColor(2);pullSummaryHist.SetLabelSize(0.018);
		pullSummaryHist.GetYaxis()->SetRangeUser(-3,3);pullSummaryHist.GetYaxis()->SetTitle("pull summary");pullSummaryHist.Draw("E1");
		hc->SaveAs(Form("%s.pdf",treename.c_str()));
	   }

	    delete hc;
	}

	c->SaveAs(Form("%s.pdf]",treename.c_str()));

	delete c;
	return;


}
void plotTree(TTree *tree_, std::string whichfit, std::string selectString){

	// Create a map for plotting the pullsummaries:
	std::map < const char*, std::pair <double,double> > pullSummaryMap;
	int nPulls=0;

	TObjArray *l_branches = tree_->GetListOfBranches();
	int nBranches = l_branches->GetEntries();

	gStyle->SetPadTopMargin(0.01);

	TCanvas *c = new TCanvas("c","",960,800);

	std::string treename = tree_->GetName();
	c->SaveAs(Form("%s.pdf[",treename.c_str()));
	// File to store plots in 
	TFile *fOut = new TFile(Form("%s.root",treename.c_str()),"RECREATE");

	for (int iobj=0;iobj<nBranches;iobj++){

		TBranch *br =(TBranch*) l_branches->At(iobj);

		// Draw the normal histogram
		const char* name = br->GetName();

                // names with - are not allowed
                string namestr(name);
                if(namestr.find("-")!=string::npos) {
                  std::cout << "Variable " << name << " contains a bad character: -. Skipping. " << std::endl;
                  continue;
                }
		bool fitPull=false;
		bool fitPullf=false;

		bool plotLH=false;

		TGraph *gr=NULL;
		double p_mean =0;
		double p_err  =0;

		int nToysInTree = tree_->GetEntries();
		// Find out if paramter is fitted value or constraint term
		bool isFitted = findNuisancePre(name);
		if (doPull && isFitted){
			
			p_mean = bfvals_[name].first;	// toy constrainits thrown about best fit to data
			if(namestr.find("n_exp")==string::npos) p_err  = prevals_[name].second; // uncertainties taken from card
			std::cout << "******* "<< name << " *******"<<std::endl;
			std::cout << p_mean <<  " " << p_err << std::endl;
			std::cout << "******************************" <<std::endl;

			const char* drawInput;
                        // if the parameter is a normalization, the error is not available. Do the residual instead of the pull
                        if(namestr.find("n_exp")!=string::npos) drawInput = Form("(%s-%f)/%f",name,p_mean,p_mean);
                        else drawInput = Form("(%s-%f)/%f",name,p_mean,p_err);
			tree_->Draw(Form("%s>>%s",drawInput,name),"");
			tree_->Draw(Form("%s>>%s_fail",drawInput,name),selectString.c_str(),"same");
			fitPull  = true;
			fitPullf = true;
			if (doLH) {
			  gr = graphLH(name,p_err,whichfit);
			  if (gr) plotLH=true;
			}
			
		}

		else{
			tree_->Draw(Form("%s>>%s",name,name),"");
			tree_->Draw(Form("%s>>%s_fail",name,name),selectString.c_str(),"same");
		}
		

		TH1F* bH  = (TH1F*) gROOT->FindObject(Form("%s",name))->Clone();
		TH1F* bHf = (TH1F*) gROOT->FindObject(Form("%s_fail",name))->Clone();
		bHf->SetLineColor(2);
		bH->GetXaxis()->SetTitle(bH->GetTitle());
		bH->GetYaxis()->SetTitle(Form("no toys (%d total)",nToysInTree));
		bH->GetYaxis()->SetTitleOffset(1.05);
		bH->GetXaxis()->SetTitleOffset(0.9);
		bH->GetYaxis()->SetTitleSize(0.05);
		bH->GetXaxis()->SetTitleSize(0.05);
		if (isFitted) {bH->GetXaxis()->SetTitle(Form("(%s-#theta_{B})/#sigma_{#theta}",name));}
		else {bH->GetXaxis()->SetTitle(Form("%s",name));}
		
		bH->SetTitle("");	

		if ( bH->Integral() <=0 )  fitPull = false;
		if (fitPull) {bH->Fit("gaus"); bH->GetFunction("gaus")->SetLineColor(4);}
		
		if ( bHf->Integral() <=0 )  fitPullf = false;
		if (fitPullf) {bHf->Fit("gaus"); bHf->GetFunction("gaus")->SetLineColor(2);}

		c->Clear();
		//TPad pad1("t1","",0.01,0.02,0.59,0.98);
		// Pad 1 sizes depend on the parameter type ...
		double pad1_x1,pad1_x2,pad1_y1,pad1_y2;
		if ( !isFitted ) {
			 pad1_x1 = 0.01; 
			 pad1_x2 = 0.98; 
			 pad1_y1 = 0.045; 
			 pad1_y2 = 0.98; 
		} else {
			 pad1_x1 = 0.01; 
			 pad1_x2 = 0.59; 
			 pad1_y1 = 0.56; 
			 pad1_y2 = 0.98; 
		}
		
		TPad pad1("t1","",pad1_x1,pad1_y1,pad1_x2,pad1_y2);
		TPad pad1a("t1a","",0.01,0.045,0.59,0.522);
		TPad pad2("t2","",0.59,0.04,0.98,0.62);
		TPad pad3("t3","",0.55,0.64,0.96,0.95);

		pad1.SetNumber(1); pad2.SetNumber(2); pad3.SetNumber(3); pad1a.SetNumber(4);

		if ( isFitted ) {pad1a.Draw();pad2.Draw();pad3.Draw();}

		pad1.Draw();
		pad2.SetGrid(true);


		TLatex *titletext = new TLatex();titletext->SetNDC();

		if ( isFitted ){
			c->cd(4); 
			tree_->Draw(Form("%s:%s_In>>%s_%s_2d",name,name,name,tree_->GetName()),""); 
			//TH2D *h2d_corr = (TH2D*)gROOT->FindObject(Form("%s_2d",name));
			//h2d_corr->SetMarkerColor(4);
			//h2d_corr->SetTitle("");
			//h2d_corr->GetXaxis()->SetTitle(Form("%s_In",name));
			//h2d_corr->GetYaxis()->SetTitle(Form("%s",name));
			titletext->SetTextAlign(11);
			titletext->SetTextSize(0.05);
			titletext->DrawLatex(0.05,0.02,Form("%s_In",name));
			titletext->SetTextAngle(90);
			titletext->DrawLatex(0.04,0.06,Form("%s",name));
			titletext->SetTextAngle(0);
		}

		
		c->cd(1); bH->Draw(); bHf->Draw("same");
		TLegend *legend = new TLegend(0.6,0.8,0.9,0.89);
		legend->SetFillColor(0);
		legend->AddEntry(bH,"All Toys","L");
		legend->AddEntry(bHf,selectString.c_str(),"L");
		legend->Draw();

		if (doPull && plotLH) {
			c->cd(2); gr->Draw("ALP");
		}

		if (fitPull){
			c->cd(3);
			double gap;
			TLatex *tlatex = new TLatex(); tlatex->SetNDC(); 
			if (fitPullf) {tlatex->SetTextSize(0.09); gap=0.12;}
			else  {tlatex->SetTextSize(0.11);gap=0.14;}

			tlatex->SetTextColor(4);
			tlatex->DrawLatex(0.11,0.80,Form("Mean    : %.3f #pm %.3f",bH->GetFunction("gaus")->GetParameter(1),bH->GetFunction("gaus")->GetParError(1)));
			tlatex->DrawLatex(0.11,0.80-gap,Form("Sigma   : %.3f #pm %.3f",bH->GetFunction("gaus")->GetParameter(2),bH->GetFunction("gaus")->GetParError(2)));

			if (fitPullf){ 
				tlatex->SetTextColor(2);
				tlatex->DrawLatex(0.11,0.60,Form("Mean    : %.3f #pm %.3f",bHf->GetFunction("gaus")->GetParameter(1),bHf->GetFunction("gaus")->GetParError(1)));
				tlatex->DrawLatex(0.11,0.60-gap,Form("Sigma   : %.3f #pm %.3f",bHf->GetFunction("gaus")->GetParameter(2),bHf->GetFunction("gaus")->GetParError(2)));
			}

			tlatex->SetTextSize(0.10);
			tlatex->SetTextColor(1);
				
                        if(namestr.find("n_exp")!=string::npos) tlatex->DrawLatex(0.11,0.33,Form("Pre-fit: %.3f",prevals_[name].first));
			else tlatex->DrawLatex(0.11,0.33,Form("Pre-fit #pm #sigma_{#theta}: %.3f #pm %.3f",prevals_[name].first, p_err));
			tlatex->DrawLatex(0.11,0.18,Form("Best-fit (#theta_{B})  : %.3f ",p_mean));
			tlatex->DrawLatex(0.11,0.03,Form("Best-fit (#theta_{S+B}): %.3f ",bfvals_sb_[name].first));
			
			pullSummaryMap[name]=std::make_pair<double,double>(bH->GetFunction("gaus")->GetParameter(1),bH->GetFunction("gaus")->GetParameter(2));
			nPulls++;

		}

		double titleSize = isFitted ? 0.1 : 0.028;
		titletext->SetTextSize(titleSize);titletext->SetTextAlign(21); titletext->DrawLatex(0.55,0.92,name);
		c->SaveAs(Form("%s.pdf",treename.c_str()));
		fOut->WriteObject(c,Form("%s_%s",treename.c_str(),name));
		//c->SaveAs(Form("%s_%s.pdf",treename.c_str(),name));
	}
	
	if (doPull && nPulls>0){
	  
	    std::cout << "Generating Pull Summaries" <<std::endl; 
	    int nRemainingPulls = nPulls;
	    TCanvas *hc = new TCanvas("hc","",3000,2000); hc->SetGrid(0);
	    std::map < const char*, std::pair <double,double> >::iterator pull_it = pullSummaryMap.begin();
	    std::map < const char*, std::pair <double,double> >::iterator pull_end = pullSummaryMap.end();

	    int pullPlots = 1;
	    while (nRemainingPulls > 0){

		int nThisPulls = min(maxPullsPerPlot,nRemainingPulls);

		TH1F pullSummaryHist("pullSummary","",nThisPulls,0,nThisPulls);
		for (int pi=1;pull_it!=pull_end && pi<=nThisPulls ;pull_it++,pi++){
			pullSummaryHist.GetXaxis()->SetBinLabel(pi,(*pull_it).first);
			pullSummaryHist.SetBinContent(pi,((*pull_it).second).first);
			pullSummaryHist.SetBinError(pi,((*pull_it).second).second);
			nRemainingPulls--;
		}		

		pullSummaryHist.SetMarkerStyle(21);pullSummaryHist.SetMarkerSize(1.5);pullSummaryHist.SetMarkerColor(2);pullSummaryHist.SetLabelSize(pullLabelSize);
		pullSummaryHist.GetYaxis()->SetRangeUser(-3,3);pullSummaryHist.GetYaxis()->SetTitle("pull summary (n#sigma)");pullSummaryHist.Draw("E1");
		hc->SaveAs(Form("%s.pdf",treename.c_str()));
		fOut->WriteObject(hc,Form("comb_pulls_%s_%d",treename.c_str(),pullPlots));
	//	hc->SaveAs(Form("comb_pulls_%s_%d.pdf",treename.c_str(),pullPlots));
		pullPlots++;
	   }

	    delete hc;
	}

	c->SaveAs(Form("%s.pdf]",treename.c_str()));
	fOut->Close();
	delete c;
	return;


}