4 |
|
#include <fstream> |
5 |
|
#include <pthread.h> |
6 |
|
#include <assert.h> |
7 |
+ |
#include <cctype> |
8 |
|
|
9 |
|
#include <TCut.h> |
10 |
|
#include <TROOT.h> |
20 |
|
#include <TProfile.h> |
21 |
|
#include <TKey.h> |
22 |
|
|
23 |
< |
//#include "TTbar_stuff.C" |
23 |
> |
#include "ShapeDroplet.C" |
24 |
> |
#include "ShapeLimit.C" |
25 |
> |
#include "EdgeLimit.C" |
26 |
> |
|
27 |
|
using namespace std; |
28 |
|
|
29 |
|
using namespace PlottingSetup; |
30 |
|
|
31 |
+ |
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float peakerrordata, float njobs, float jobnumber, bool systonly, bool effonly,bool shapeanalysis); |
32 |
+ |
|
33 |
+ |
bool isValidShapeResult(ShapeDroplet droplet) { |
34 |
+ |
if(droplet.isValid==false) return false; |
35 |
+ |
if(droplet.observed>50000) { |
36 |
+ |
// error code of ShapeLimit/CreateModel.sh, invoked if there were too many errors during computation |
37 |
+ |
write_warning(__FUNCTION__,"Shape limit was ridiculously high ("+any2string(droplet.observed)+"); this is a typical error signature of the combine tool. Shape result will be discarded, and c&c will be carried out instead."); |
38 |
+ |
return false; |
39 |
+ |
} |
40 |
+ |
if(droplet.observed==-12345) { |
41 |
+ |
write_warning(__FUNCTION__,"Shape limit was ("+any2string(droplet.observed)+"); this is the error signature of CreateModel.sh / ShapeDroplet. Shape result will be discarded, and c&c will be carried out instead."); |
42 |
+ |
return false; |
43 |
+ |
} |
44 |
+ |
if(droplet.expected>-1&&droplet.expected==0&&droplet.observed>5000) { |
45 |
+ |
write_warning(__FUNCTION__,"Observed shape limit was ("+any2string(droplet.observed)+") while expected limit was "+any2string(droplet.expected)+"; this is a typical error signature of the combine tool. Shape result will be discarded, and c&c will be carried out instead."); |
46 |
+ |
return false; |
47 |
+ |
} |
48 |
+ |
if(droplet.expected>-1&&droplet.expected/droplet.observed>50) { |
49 |
+ |
write_warning(__FUNCTION__,"Observed shape limit was ("+any2string(droplet.observed)+") while expected limit was "+any2string(droplet.expected)+"; such a high ratio between expected & observed limit is a typical error signature of the combine tool. Shape result will be discarded, and c&c will be carried out instead."); |
50 |
+ |
return false; |
51 |
+ |
} |
52 |
+ |
if(droplet.expected>-1&&droplet.observed/droplet.expected>50) { |
53 |
+ |
write_warning(__FUNCTION__,"Observed shape limit was ("+any2string(droplet.observed)+") while expected limit was "+any2string(droplet.expected)+"; such a high ratio between observed & expected limit is a typical error signature of the combine tool. Shape result will be discarded, and c&c will be carried out instead."); |
54 |
+ |
return false; |
55 |
+ |
} |
56 |
+ |
return true; |
57 |
+ |
} |
58 |
+ |
|
59 |
|
void susy_scan_axis_labeling(TH2F *histo) { |
60 |
|
histo->GetXaxis()->SetTitle("m_{#Chi_{2}^{0}}-m_{LSP}"); |
61 |
|
histo->GetXaxis()->CenterTitle(); |
93 |
|
|
94 |
|
gStyle->SetPalette(100, MyPalette); |
95 |
|
|
64 |
– |
float rightmargin=gStyle->GetPadRightMargin(); |
96 |
|
gStyle->SetPadRightMargin(0.15); |
97 |
|
|
98 |
|
} |
99 |
|
|
100 |
|
bool delete_any_cached_scans() { |
70 |
– |
//This should only be called via CRAB |
71 |
– |
cout << " Deleting all cached files." << endl; |
72 |
– |
gSystem->Exec("ls -ltrh | grep root"); |
101 |
|
char hostname[1023]; |
102 |
|
gethostname(hostname,1023); |
103 |
< |
if((Contains(hostname,"t3ui")||Contains(hostname,"t3wn"))) return false; |
104 |
< |
else { |
103 |
> |
|
104 |
> |
|
105 |
> |
/* |
106 |
> |
//This should only be called via CRAB |
107 |
> |
dout << " Deleting all cached files." << endl; |
108 |
> |
gSystem->Exec("ls -ltrh | grep root"); |
109 |
> |
if(!((Contains(hostname,"t3ui")||Contains(hostname,"t3wn")))) |
110 |
> |
{ |
111 |
|
vector<string> all_files; |
112 |
|
char currentpath[1024]; |
113 |
|
TString directory=TString(getcwd(currentpath,1024)); |
120 |
|
gSystem->Exec(((string)"rm "+all_files[ifile]).c_str()); |
121 |
|
} |
122 |
|
} |
123 |
< |
return true; |
123 |
> |
return true; |
124 |
> |
} |
125 |
> |
*/ |
126 |
> |
if(!((Contains(hostname,"t3ui")||Contains(hostname,"t3wn")))) { |
127 |
> |
dout << "Going to purge files in local_storage that have been loaded!" << endl; |
128 |
> |
for(int i=0;i<(int)SUSYScanSpace::loaded_files.size();i++) { |
129 |
> |
gSystem->Exec(((string)"rm "+SUSYScanSpace::loaded_files[i]).c_str()); |
130 |
> |
dout << " Purging : Deleted file " << SUSYScanSpace::loaded_files[i] << endl; |
131 |
> |
} |
132 |
|
} |
133 |
+ |
return true; |
134 |
|
} |
135 |
|
|
136 |
|
bool initialized_t2=false; |
137 |
|
|
138 |
|
int srmcpretries=0; |
139 |
|
|
140 |
< |
void load_scan_sample(int a, int b, int &scanfileindex,int scantype,bool isretry=false) { |
141 |
< |
/* |
142 |
< |
// There is no need to define your sample here. That is done in Setup.C where you define the loading directory! |
100 |
< |
|
101 |
< |
dout << "Going to load file with Xzone=" << a << " and Yzone=" << b << endl; |
102 |
< |
stringstream filetoload; |
103 |
< |
char hostname[1023]; |
104 |
< |
gethostname(hostname,1023); |
105 |
< |
|
106 |
< |
if((Contains(hostname,"t3ui")||Contains(hostname,"t3wn"))) { // local case |
140 |
> |
void load_local_scan_sample(int a, int b, int &scanfileindex,int scantype,int mglu, int mlsp, bool isretry=false) { |
141 |
> |
stringstream filetoload; |
142 |
> |
string samplename; |
143 |
|
filetoload << "/shome/buchmann/ntuples/"<<PlottingSetup::ScanSampleDirectory; |
144 |
< |
if(scantype==mSUGRA) filetoload << "/mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
145 |
< |
if(scantype==SMS) filetoload << "/SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
146 |
< |
if(scantype==GMSB) filetoload << "/GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
144 |
> |
if(scantype==mSUGRA) { |
145 |
> |
//filetoload << "/mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
146 |
> |
filetoload.str(""); |
147 |
> |
filetoload << "/shome/lbaeni/jzb/" << PlottingSetup::ScanSampleDirectory << "/mSUGRA_M0_" << mglu << "__M12_" << mlsp << ".root"; |
148 |
> |
samplename="mSUGRA"; |
149 |
> |
// filetoload << "/mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
150 |
> |
} |
151 |
> |
if(scantype==SMS) { |
152 |
> |
filetoload << "/SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
153 |
> |
samplename="SMS"; |
154 |
> |
} |
155 |
> |
if(scantype==GMSB) { |
156 |
> |
filetoload << "/GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
157 |
> |
samplename="GMSB"; |
158 |
> |
} |
159 |
> |
|
160 |
> |
if(scantype==SMS && Contains(PlottingSetup::ScanSampleDirectory,"T1lh")) { |
161 |
> |
filetoload.str(""); |
162 |
> |
filetoload << "/shome/lbaeni/jzb/" << PlottingSetup::ScanSampleDirectory << "/SMS_MassGlu_" << mglu << "__MassLSP_" << mlsp << ".root"; |
163 |
> |
samplename="SMS"; |
164 |
> |
} |
165 |
> |
|
166 |
|
if(scansample.collection.size()<1||!Contains(((scansample.collection)[(scansample.collection).size()-1]).filename,"_"+any2string(a)+"_"+any2string(b))) { |
167 |
|
dout << "The last sample is NOT the same one as the current one, possibly popping off last one and adding the new one." << endl; |
168 |
< |
if((scansample.collection).size()>1) { |
168 |
> |
if((scansample.collection).size()>=1) { |
169 |
|
scansample.RemoveLastSample(); |
170 |
|
} |
171 |
|
scanfileindex=(scansample.collection).size(); |
172 |
|
//New: Loading file when necessary, not before (avoiding high memory usage and startup times) |
173 |
< |
if(scanfileindex!=0) scansample.AddSample(filetoload.str(),"scansample",1,1,false,true,scanfileindex,kRed); |
173 |
> |
|
174 |
> |
scansample.AddSample(filetoload.str(),samplename,1,1,false,true,scanfileindex,kRed); |
175 |
> |
dout << "Just added the following file: " << filetoload.str() << endl; |
176 |
|
} else { |
177 |
|
dout << "Last sample is the same as the current one. Recycling it." << endl; |
178 |
|
scanfileindex=(scansample.collection).size()-1; |
179 |
|
} |
180 |
|
dout << " Going to use the following file: " << filetoload.str() << endl; |
181 |
< |
} // end of t3 case |
182 |
< |
else { |
181 |
> |
} |
182 |
> |
|
183 |
> |
void load_remote_scan_sample(int a, int b, int &scanfileindex,int scantype,int mglu, int mlsp, bool isretry=false) { |
184 |
|
write_info(__FUNCTION__,"Hello, CRAB! Might need to load files ..."); |
185 |
+ |
string samplename; |
186 |
|
PlottingSetup::limitpatience=PlottingSetup::limitpatienceCRAB; |
187 |
|
stringstream copyfile; |
188 |
+ |
gSystem->Exec("mkdir -p local_storage"); |
189 |
|
copyfile << "lcg-cp -b -T srmv2 srm://storage01.lcg.cscs.ch:8443/srm/managerv2?SFN=/pnfs/lcg.cscs.ch/cms/trivcat/store/user/buchmann/bussola/" << PlottingSetup::ScanSampleDirectory; |
190 |
< |
if(scantype==mSUGRA) copyfile << "/mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root " << "mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root "; |
191 |
< |
if(scantype==SMS) copyfile << "/SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root " << "SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root "; |
192 |
< |
if(scantype==GMSB) copyfile << "/GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root " << "GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root "; |
190 |
> |
if(scantype==mSUGRA) { |
191 |
> |
copyfile<< "/mSUGRA_M0_" << mglu << "__M12_" << mlsp << ".root local_storage/mSUGRA_M0_" << mglu << "__M12_" << mlsp << ".root "; |
192 |
> |
samplename="mSUGRA"; |
193 |
> |
} |
194 |
> |
if(scantype==SMS) { |
195 |
> |
copyfile << "/SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root " << "local_storage/SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root "; |
196 |
> |
samplename="SMS"; |
197 |
> |
} |
198 |
> |
if(scantype==GMSB) { |
199 |
> |
copyfile << "/GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root " << "local_storage/GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root "; |
200 |
> |
samplename="GMSB"; |
201 |
> |
} |
202 |
|
stringstream newfilename; |
203 |
< |
if(scantype==mSUGRA) newfilename << "mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
204 |
< |
if(scantype==SMS) newfilename << "SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
205 |
< |
if(scantype==GMSB) newfilename << "GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
203 |
> |
// if(scantype==mSUGRA) newfilename << "local_storage/mSUGRA_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
204 |
> |
if(scantype==mSUGRA) newfilename << "local_storage/mSUGRA_M0_" << mglu << "__M12_" << mlsp << ".root"; |
205 |
> |
if(scantype==SMS) newfilename << "local_storage/SMS_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
206 |
> |
if(scantype==GMSB) newfilename << "local_storage/GMSB_clean_splitup_" << any2string(a) << "_" << any2string(b) << ".root"; |
207 |
> |
|
208 |
> |
SUSYScanSpace::SUSYscantype=scantype; |
209 |
|
|
210 |
< |
if(!Contains(((scansample.collection)[(scansample.collection).size()-1]).filename,"_"+any2string(a)+"_"+any2string(b))||(a==0&&b==0)&&!initialized_t2) { |
210 |
> |
if((scansample.collection).size()==0||!Contains(((scansample.collection)[(scansample.collection).size()-1]).filename,"_"+any2string(a)+"_"+any2string(b))||(a==0&&b==0)&&!initialized_t2) { |
211 |
|
dout << "The last sample is NOT the same one as the current one, possibly popping off last one and downloading as well as adding the new one." << endl; |
212 |
< |
if((scansample.collection).size()>1) { |
212 |
> |
while((scansample.collection).size()>0) { |
213 |
|
scansample.RemoveLastSample(); |
214 |
|
} |
215 |
+ |
dout << "New scanfileindex stems from scansample size: " << (scansample.collection).size() << endl; |
216 |
|
scanfileindex=(scansample.collection).size(); |
217 |
|
//New: Loading file when necessary, not before (avoiding high memory usage and startup times) |
218 |
< |
if(scanfileindex!=0||isretry) { |
219 |
< |
delete_any_cached_scans(); |
220 |
< |
dout << "Going to download the scan file with the following copy command: " << copyfile.str() << endl; |
221 |
< |
gSystem->Exec(copyfile.str().c_str()); |
218 |
> |
if(1) { |
219 |
> |
if(!doesROOTFileExist(newfilename.str())) { |
220 |
> |
dout << "Going to download the scan file with the following copy command: " << copyfile.str() << endl; |
221 |
> |
int retcode = gSystem->Exec(copyfile.str().c_str()); // download it if it hasn't been downloaded before |
222 |
> |
if(retcode==0) SUSYScanSpace::loaded_files.push_back(newfilename.str()); // adding it to the list of loaded files (will be deleted once we finish running |
223 |
> |
} |
224 |
|
if(doesROOTFileExist(newfilename.str())) { |
225 |
|
initialized_t2=true; |
226 |
< |
scansample.AddSample(newfilename.str(),"scansample",1,1,false,true,scanfileindex,kRed); |
226 |
> |
dout << "Going to add the following sample: " << newfilename.str() << endl; |
227 |
> |
gSystem->Exec(("ls -ltrh "+newfilename.str()).c_str()); |
228 |
> |
scansample.AddSample(newfilename.str(),samplename,1,1,false,true,scanfileindex,kRed); |
229 |
|
} else { |
230 |
|
srmcpretries++; |
231 |
|
if(srmcpretries<5) { |
232 |
|
dout << "The file could not be loaded correctly - retrying!" << endl; |
233 |
|
sleep(5); |
234 |
< |
load_scan_sample(a,b,scanfileindex,scantype,true); |
234 |
> |
load_remote_scan_sample(a,b,scanfileindex,scantype,mglu,mlsp,true); |
235 |
|
} else { |
236 |
|
dout << "Have tried 5 times to load this sample. Giving up now and failing the program execution" << endl; |
237 |
< |
assert(0); |
237 |
> |
assert(srmcpretries<5); |
238 |
|
dout << "The command " << copyfile.str() << " failed to copy the file to the local storage (saving it as " << newfilename.str() << ")" << endl; |
239 |
|
} |
240 |
|
} |
243 |
|
dout << "Last sample is the same as the current one. Recycling it." << endl; |
244 |
|
scanfileindex=(scansample.collection).size()-1; |
245 |
|
} |
246 |
< |
|
247 |
< |
} |
248 |
< |
*/ |
246 |
> |
} |
247 |
> |
|
248 |
> |
void load_scan_sample(int a, int b, int &scanfileindex,int scantype,int mglu, int mlsp, bool isretry=false) { |
249 |
|
|
250 |
< |
// WATCH OUT THIS LINE NEEDS TO BE REMOVED |
251 |
< |
scanfileindex=0; |
250 |
> |
// There is no need to define your sample here. That is done in Setup.C where you define the loading directory! |
251 |
> |
|
252 |
> |
SUSYScanSpace::SUSYscantype=scantype; |
253 |
> |
dout << "Going to load file with Xzone=" << a << " and Yzone=" << b << " for scantype (mSugra: " << (bool)(scantype==mSUGRA) << " , SMS: " << (bool)(scantype==SMS) << " , GMSB: " << (bool)(scantype==GMSB) << ")" << endl; |
254 |
> |
char hostname[1023]; |
255 |
> |
gethostname(hostname,1023); |
256 |
> |
if((Contains(hostname,"t3ui")||Contains(hostname,"t3wn"))) load_local_scan_sample(a,b,scanfileindex,scantype,mglu,mlsp,isretry); |
257 |
> |
else load_remote_scan_sample(a,b,scanfileindex,scantype,mglu,mlsp,isretry); |
258 |
|
} |
259 |
|
|
260 |
|
/*float get_xs(float &altxs, float mglu, float mlsp, string massgluname, string massLSPname, map < pair<float, float>, map<string, float> > &xsec, string mcjzb, bool requireZ) { |
288 |
|
while ((key = (TKey*)nextkey())) |
289 |
|
{ |
290 |
|
TObject *obj = key->ReadObj(); |
291 |
< |
if(Contains((string)(obj->GetName()),"mSUGRA")) scantype=mSUGRA; |
291 |
> |
if(Contains((string)(obj->GetName()),"SUGRA")) scantype=mSUGRA; |
292 |
|
if(Contains((string)(obj->GetName()),"GMSB")) scantype=GMSB; |
293 |
|
} |
294 |
|
|
298 |
|
massgluname="M0"; // this is the "x axis" in the limit plot (like the gluino in the SMS case) |
299 |
|
massLSPname="M12"; // this is the "y axis" in the limit plot (like the LSP in the SMS case) |
300 |
|
mglustart=m0start; |
301 |
< |
xsec=getXsec(PlottingSetup::cbafbasedir+"/Plotting/Modules/external/scale_xsection_nlo1.0_m0_m12_10_0_1v1.txt"); |
301 |
> |
xsec=getXsec(PlottingSetup::cbafbasedir+"/"+mSUGRAxsFile); |
302 |
> |
|
303 |
|
mgluend=m0end; |
304 |
|
mglustep=m0step; |
305 |
|
mLSPstart=m12start; |
307 |
|
mLSPstep=m12step; |
308 |
|
prefix="mSUGRA_"; |
309 |
|
dout << "mSUGRA scan has been set up." << endl; |
226 |
– |
// xsec=getXsec("/scratch/buchmann/C/scale_xsection_nlo1.0_m0_m12_10_0_1v1.txt"); |
310 |
|
} |
311 |
|
if(scantype==SMS) { |
312 |
|
dout << "SMS scan has been set up." << endl; |
321 |
|
} |
322 |
|
|
323 |
|
set_SUSY_style(); |
324 |
+ |
std::cout << __LINE__ << std::endl; |
325 |
|
|
326 |
|
TCanvas *limcanvas = new TCanvas("limcanvas","Limit canvas"); |
327 |
|
|
344 |
|
TH2F *exp2mlimitmap = new TH2F((prefix+"exp2mlimitmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);//expected limit - 2 sigma |
345 |
|
|
346 |
|
TH2F *exclmap = new TH2F((prefix+"exclusionmap"+any2string(jzb_cut[ibin])).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
263 |
– |
TH2F *xsmap = new TH2F((prefix+"crosssectionmap"+any2string(jzb_cut[ibin])).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
264 |
– |
TH2F *totxsmap = new TH2F((prefix+"absolutecrosssectionmap"+any2string(jzb_cut[ibin])).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
347 |
|
TH2F *flipmap = new TH2F((prefix+"limitflipmap"+any2string(jzb_cut[ibin])).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
348 |
+ |
TH2F *asymptoticmap = new TH2F((prefix+"asymptoticmap"+any2string(jzb_cut[ibin])).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
349 |
|
|
350 |
|
|
351 |
|
if(!fullerr || !mceff || !NEvents) { |
377 |
|
continue; |
378 |
|
} |
379 |
|
vector<float> sigmas; |
380 |
< |
if(scantype!=mSUGRA) sigmas=compute_one_upper_limit(currmceff,currtoterr,ibin,mcjzb,plotfilename,true, flipped); |
380 |
> |
if(scantype!=mSUGRA) { |
381 |
> |
sigmas=compute_one_upper_limit(currmceff,currtoterr,ibin,mcjzb,plotfilename,true, flipped,true); |
382 |
> |
write_warning(__FUNCTION__,"Temporarily doing asymptotic limits!!!!"); |
383 |
> |
} |
384 |
|
else { |
385 |
|
//this is a bit trickier - what we want to do is compute the limit fast, and if it is in [0.5 xs, 2xs], compute it again but "correctly"! |
386 |
|
vector<float> asigmas; |
387 |
|
asigmas=compute_one_upper_limit(currmceff,currtoterr,ibin,mcjzb,plotfilename,true, flipped,true); // asymptotic limit first |
388 |
|
float strength=asigmas[0]/XSmap->GetBinContent(GlobalBin); |
389 |
< |
if(strength>0.5&&strength<2) sigmas=compute_one_upper_limit(currmceff,currtoterr,ibin,mcjzb,plotfilename,true, flipped); // asymptotic limit first |
390 |
< |
else sigmas=asigmas; |
389 |
> |
/* if(strength>0.5&&strength<2) { |
390 |
> |
sigmas=compute_one_upper_limit(currmceff,currtoterr,ibin,mcjzb,plotfilename,true, flipped); // asymptotic limit first |
391 |
> |
asymptoticmap->SetBinContent(GlobalBin,0); |
392 |
> |
} else {*/ |
393 |
> |
sigmas=asigmas; |
394 |
> |
asymptoticmap->SetBinContent(GlobalBin,1); |
395 |
> |
/* }*/ |
396 |
|
exclmap->SetBinContent(GlobalBin,strength); |
306 |
– |
xsmap->SetBinContent(GlobalBin,XSmap->GetBinContent(GlobalBin)); |
397 |
|
} |
398 |
|
|
309 |
– |
|
310 |
– |
|
311 |
– |
|
399 |
|
if(sigmas[0]>0) limitmap->SetBinContent(GlobalBin,sigmas[0]); //anything else is an error code |
400 |
|
if(sigmas.size()>1) { |
401 |
|
explimitmap->SetBinContent(GlobalBin,sigmas[1]); |
410 |
|
} |
411 |
|
|
412 |
|
prepare_scan_axis(limitmap,scantype); |
413 |
+ |
gSystem->Exec("mkdir -p output"); |
414 |
|
TFile *outputfile=new TFile(("output/DistributedLimitsFromSystematics_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");//needs to be "UPDATE" as we can get to this point for different JZB cuts and don't want to erase the previous data :-) |
415 |
|
outputfile->cd(); |
416 |
|
limitmap->Write(); |
417 |
+ |
XSmap->Write(); |
418 |
|
flipmap->Write(); |
419 |
+ |
asymptoticmap->Write(); |
420 |
|
if(doexpected) { |
421 |
|
explimitmap->Write(); |
422 |
|
exp1plimitmap->Write(); |
424 |
|
exp2plimitmap->Write(); |
425 |
|
exp2mlimitmap->Write(); |
426 |
|
} |
427 |
< |
if(scantype==mSUGRA) { |
338 |
< |
exclmap->Write(); |
339 |
< |
xsmap->Write(); |
340 |
< |
totxsmap->Write(); |
341 |
< |
} |
427 |
> |
if(scantype==mSUGRA) exclmap->Write(); |
428 |
|
outputfile->Close(); |
429 |
|
delete limcanvas; |
430 |
|
} |
436 |
|
write_error(__FUNCTION__,"You provided an invalid systematics file. Please change it ... "); |
437 |
|
return; |
438 |
|
} |
439 |
< |
for(int ibin=0;ibin<jzb_cut.size();ibin++) { |
439 |
> |
for(int ibin=0;ibin<(int)jzb_cut.size();ibin++) { |
440 |
|
establish_SUSY_limits(mcjzb,datajzb,jzb_cut,requireZ, peakerror, fsyst, ibin,njobs, jobnumber); |
441 |
|
} |
442 |
|
} |
443 |
|
|
444 |
|
|
445 |
+ |
string SimpleFormat(string input) { |
446 |
+ |
string output; |
447 |
+ |
for (unsigned int i=0; i<input.length();i++) { |
448 |
+ |
if (isalnum(input[i])) //If current character is alpha-numeric |
449 |
+ |
output+= input[i]; //Add the character to strConverted |
450 |
+ |
|
451 |
+ |
} |
452 |
+ |
return output; |
453 |
+ |
} |
454 |
+ |
|
455 |
|
|
456 |
+ |
vector<float> scan_SUSY_parameter_space_for_one_cut(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float peakerrordata, int ibin,float njobs=-1, float jobnumber=-1, bool systematicsonly=false,bool efficiencyonly=false, bool shapeanalysis=false,string specialfilename="") { |
457 |
+ |
//note: njobs==-2 means that we're running a benchmark point |
458 |
+ |
dout << "Starting the SUSY scan now with " << jzb_cut[ibin] << " (bin #" << ibin << " )" << endl; |
459 |
+ |
dout << " mcjzb: " << mcjzb << endl; |
460 |
+ |
dout << " datajzb: " << datajzb << endl; |
461 |
+ |
dout << " jzb_cuts: "; |
462 |
+ |
for(int ib=0;ib<(int)jzb_cut.size()-1;ib++) dout << jzb_cut[ib] << ", "; |
463 |
+ |
dout << jzb_cut[jzb_cut.size()-1] << endl; |
464 |
+ |
dout << " requireZ: " << requireZ << endl; |
465 |
+ |
dout << " Peak error: " << peakerror << endl; |
466 |
+ |
dout << " Data Peak e: " << peakerrordata << endl; |
467 |
+ |
dout << " NJobs : " << njobs << endl; |
468 |
+ |
dout << " Job num: " << jobnumber << endl; |
469 |
+ |
dout << " Syst only? " << systematicsonly << endl; |
470 |
+ |
dout << " Eff only? " << efficiencyonly << endl; |
471 |
+ |
dout << " Shape analysis?" << shapeanalysis << endl; |
472 |
+ |
dout << " Special file name? \"" << specialfilename<< "\"" << endl; |
473 |
+ |
|
474 |
+ |
vector<float> empty; |
475 |
+ |
|
476 |
+ |
if(shapeanalysis&&ibin>0) return empty; // pointless since we're doing a shape analysis :-) |
477 |
|
|
361 |
– |
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, int ibin,float njobs=-1, float jobnumber=-1, bool systematicsonly=false,bool efficiencyonly=false) { |
478 |
|
bool runninglocally=true; |
479 |
|
if(njobs>-1&&jobnumber>-1) { |
480 |
|
runninglocally=false; |
482 |
|
dout << "Running on the GRID (this is job " << jobnumber << "/" << njobs << ") for a jzb cut at " << jzb_cut[ibin] << endl; |
483 |
|
} else { |
484 |
|
dout << "Running locally " << endl; |
485 |
< |
dout << "This will take a really, really long time - if you want to see the results THIS month try running the LimitWorkerScript on the grid (DistributedModelCalculation/Limits/)" << endl; |
485 |
> |
if(njobs>-2) dout << "If you are running more than one point and you want to see the results THIS month try running scripts from DistributedModelCalculation" << endl; |
486 |
|
} |
487 |
|
|
488 |
|
jzbSel=jzb_cut[ibin]; |
489 |
+ |
if(shapeanalysis) jzbSel=0; |
490 |
|
geqleq="geq"; |
491 |
|
automatized=true; |
492 |
|
mcjzbexpression=mcjzb; |
497 |
|
string prefix="SMS_"; |
498 |
|
// up to here, everything is set up for SMS; now we need to switch stuff around if we're dealing with an mSUGRA scan! |
499 |
|
int scantype=SMS; |
500 |
< |
if(Contains((scansample.collection)[0].samplename,"mSUGRA")) scantype=mSUGRA; |
501 |
< |
if(Contains((scansample.collection)[0].samplename,"GMSB")) scantype=GMSB; |
500 |
> |
write_info(__FUNCTION__,PlottingSetup::ScanSampleDirectory); |
501 |
> |
if(Contains((PlottingSetup::ScanSampleDirectory),"SUGRA")) scantype=mSUGRA; |
502 |
> |
if(Contains((PlottingSetup::ScanSampleDirectory),"GMSB")) scantype=GMSB; |
503 |
|
|
504 |
|
if(scantype==mSUGRA) { |
505 |
|
massgluname="M0"; // this is the "x axis" in the limit plot (like the gluino in the SMS case) |
533 |
|
|
534 |
|
gStyle->SetPalette(100, MyPalette); |
535 |
|
|
536 |
+ |
TH2F *rawlimitmap = new TH2F((prefix+"rawlimitmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);//observed limit |
537 |
+ |
TH2F *rawelimitmap = new TH2F((prefix+"rawelimitmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);//observed limit |
538 |
+ |
|
539 |
|
TH2F *limitmap = new TH2F((prefix+"limitmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);//observed limit |
540 |
|
TH2F *explimitmap = new TH2F((prefix+"explimitmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);//expected limit |
541 |
|
TH2F *exp1plimitmap = new TH2F((prefix+"exp1plimitmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep);//expected limit + 1 sigma |
562 |
|
TH2F *systotmap = new TH2F((prefix+"systotmap"+any2string(jzbSel)).c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
563 |
|
TH2F *sysstatmap = new TH2F((prefix+"sysstatmap"+any2string(jzbSel)).c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
564 |
|
TH2F *XSmap = new TH2F((prefix+"XS"+any2string(jzbSel)).c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
565 |
+ |
TH2F *absXSmap = new TH2F((prefix+"absXS"+any2string(jzbSel)).c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
566 |
+ |
TH2F *FilterEff = new TH2F((prefix+"FilterEfficiency"+any2string(jzbSel)).c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
567 |
+ |
|
568 |
+ |
TH2F *ScanIdentifier = new TH2F(("ScanIdentifier"+any2string(jzbSel)+SimpleFormat(PlottingSetup::ScanSampleDirectory)).c_str(),("ScanIdentifier"+any2string(jzbSel)+SimpleFormat(PlottingSetup::ScanSampleDirectory)).c_str(),1,0,1,1,0,1); |
569 |
+ |
|
570 |
+ |
|
571 |
+ |
TH2F *asymptoticmap = new TH2F((prefix+"asymptoticmap"+any2string(jzbSel)).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
572 |
+ |
// only used for asymptoticmap |
573 |
|
|
574 |
|
TH2F *imposedxmap; |
575 |
|
TH2F *realxmap; |
581 |
|
|
582 |
|
TH2F *flipmap = new TH2F((prefix+"flipmap"+any2string(jzbSel)).c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
583 |
|
|
455 |
– |
TH2F *nZmap = new TH2F((prefix+"nZmap"+any2string(jzb_cut[ibin])).c_str(), "",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,(int)((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
456 |
– |
|
584 |
|
if(ibin==0) { |
585 |
|
centermap = new TH2F((prefix+"centermap").c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
586 |
|
widthmap = new TH2F((prefix+"widthmap").c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
589 |
|
realxmap = new TH2F((prefix+"realxmap").c_str(),"",(int)((mgluend-mglustart)/mglustep+1),mglustart-0.5*mglustep,mgluend+0.5*mglustep,int((mLSPend-mLSPstart)/mLSPstep+1),mLSPstart-0.5*mLSPstep,mLSPend+0.5*mLSPstep); |
590 |
|
} |
591 |
|
|
592 |
+ |
|
593 |
+ |
if(shapeanalysis) jzbSel=jzb_cut[ibin]; |
594 |
|
vector<int> susy_Zdecay_origin; |
595 |
|
vector<TH2F*> h_susy_Zdecay_origin; |
596 |
|
// we only generate these histograms IF we're dealing with the lowest cut! (we don't need them n times, they're the same for all of them) |
612 |
|
|
613 |
|
write_warning(__FUNCTION__,"CURRENTLY SWITCHING AUTOMATIZED MODE OFF!");automatized=false; |
614 |
|
|
486 |
– |
float rightmargin=gStyle->GetPadRightMargin(); |
615 |
|
gStyle->SetPadRightMargin(0.15); |
616 |
|
|
617 |
|
TCanvas *limcanvas = new TCanvas("limcanvas","Limit canvas"); |
626 |
|
|
627 |
|
map < pair<float, float>, map<string, float> > xsec; |
628 |
|
if(scantype==mSUGRA) { |
629 |
< |
xsec=getXsec(PlottingSetup::mSUGRAxsFile); |
629 |
> |
xsec=getXsec(PlottingSetup::cbafbasedir+"/"+mSUGRAxsFile); |
630 |
|
} |
631 |
|
|
632 |
|
int ipoint=-1; |
636 |
|
ipoint++; |
637 |
|
int GlobalBin=efficiencymap->FindBin(mglu,mlsp); |
638 |
|
if(!runninglocally&&!do_this_point(ipoint,(int)Npoints,(int)jobnumber,(int)njobs)) continue; |
639 |
+ |
|
640 |
|
int flipped=0; |
641 |
|
float result=-987,resulterr=-987; |
642 |
|
float m0trees = PlottingSetup::mgluend; |
644 |
|
int a = int((PlottingSetup::ScanXzones*mlsp)/(m12trees+1)); |
645 |
|
int b = int((PlottingSetup::ScanYzones*mglu)/(m0trees+1)); |
646 |
|
int scanfileindex=PlottingSetup::ScanYzones*a+b; |
647 |
< |
load_scan_sample(a,b,scanfileindex,scantype); |
647 |
> |
if(njobs>-2) load_scan_sample(a,b,scanfileindex,scantype,mglu,mlsp); |
648 |
> |
else { |
649 |
> |
if((scansample.collection).size()>=1) scansample.RemoveLastSample(); |
650 |
> |
scanfileindex=(scansample.collection).size(); |
651 |
> |
scansample.AddSample(specialfilename,"LMpoint",1,1,false,true,scanfileindex,kRed); |
652 |
> |
} |
653 |
|
|
654 |
|
clock_t start,finish; |
655 |
|
start = clock(); // starting the clock to measure how long the computation takes! |
656 |
|
stringstream addcut; |
657 |
|
addcut << "(TMath::Abs("<<massgluname<<"-"<<mglu<<")<5)&&(TMath::Abs("<<massLSPname<<"-"<<mlsp<<")<5)"; |
658 |
+ |
if(njobs==-2) { |
659 |
+ |
dout << "Processing a signal sample, not a scan : setting addcut to \"eventNum>0||eventNum<1\" (empty cut)" << endl; |
660 |
+ |
addcut.str("(eventNum>0||eventNum<1)"); |
661 |
+ |
} |
662 |
+ |
|
663 |
|
(scansample.collection)[scanfileindex].events->Draw("eventNum",addcut.str().c_str(),"goff"); |
664 |
|
float nevents = (scansample.collection)[scanfileindex].events->GetSelectedRows(); |
665 |
|
vector<vector<float> > systematics; |
668 |
|
continue; |
669 |
|
} else { |
670 |
|
dout << "OK! This point ("<<ipoint<<") with configuration ("<<massgluname<<"="<<mglu<<" , "<<massLSPname<<"="<<mlsp << ") contains " << nevents << " and will therefore \033[1;32m not be skipped \033[0m. " << endl; |
671 |
< |
if(PlottingSetup::RestrictToMassPeak==true) cout << "Analysis type: on-peak" << endl; |
672 |
< |
if(PlottingSetup::RestrictToMassPeak==false) cout << "Analysis type: offpeak" << endl; |
671 |
> |
if(PlottingSetup::RestrictToMassPeak==true) dout << "Analysis type: on-peak" << endl; |
672 |
> |
if(PlottingSetup::RestrictToMassPeak==false) dout << "Analysis type: offpeak" << endl; |
673 |
> |
if(shapeanalysis) dout << "Shape analysis? Yes." << endl; |
674 |
> |
else dout << "Shape analysis? No." << endl; |
675 |
|
} |
676 |
|
float hitrecord=0; |
677 |
|
int hitrecordholder=0; |
678 |
|
float hitsecondplace=0; |
679 |
|
int hitsecondplaceholder=0; |
680 |
< |
for(int imo=0;imo<susy_Zdecay_origin.size()&&ibin==0;imo++) { |
680 |
> |
for(int imo=0;imo<(int)susy_Zdecay_origin.size()&&ibin==0&&njobs>-2;imo++) { |
681 |
|
if(ibin>0) continue; |
682 |
|
int MotherParticlePDGid = susy_Zdecay_origin[imo]; |
683 |
|
(scansample.collection)[scanfileindex].events->Draw("eventNum",("("+addcut.str()+")&&(abs(SourceOfZ-"+any2string(MotherParticlePDGid)+")<0.5)").c_str(),"goff"); |
700 |
|
SecondaryZSource->SetBinContent(GlobalBin,hitsecondplaceholder); |
701 |
|
} |
702 |
|
|
703 |
< |
if(ibin==0) { |
703 |
> |
if(ibin==0&&njobs>-2) { |
704 |
|
TH1F *realxhisto = new TH1F("realxhisto","realxhisto",1000,0,1); |
705 |
|
(scansample.collection)[scanfileindex].events->Draw("realx>>realxhisto",addcut.str().c_str(),"goff"); |
706 |
|
realxmap->SetBinContent(GlobalBin,realxhisto->GetMean()); |
719 |
|
} |
720 |
|
|
721 |
|
|
722 |
< |
if(nevents!=0&&(efficiencyonly||systematicsonly)) { |
722 |
> |
if(scantype==mSUGRA) { |
723 |
> |
float absxs=0; |
724 |
> |
for(int i=0;i<12;i++) absxs+=GetXSecForPointAndChannel(mglu,mlsp,xsec,i); |
725 |
> |
TFile *FilterEffFile = new TFile(PlottingSetup::FilterEfficiencyFile.c_str()); |
726 |
> |
TH2F *FilterEfficiency = (TH2F*)FilterEffFile->Get("FilterEfficiency"); |
727 |
> |
float filtereff = FilterEfficiency->GetBinContent(FilterEfficiency->FindBin(mglu,mlsp)); |
728 |
> |
FilterEff->SetBinContent(GlobalBin,filtereff); |
729 |
> |
FilterEffFile->Close(); |
730 |
> |
absXSmap->SetBinContent(GlobalBin,absxs); |
731 |
> |
absxs*=filtereff; |
732 |
> |
XSmap->SetBinContent(GlobalBin,absxs); |
733 |
> |
} |
734 |
> |
|
735 |
> |
if(nevents!=0) { |
736 |
|
Value effwosigcont = MCefficiency((scansample.collection)[scanfileindex].events,result,resulterr,flipped,mcjzb,requireZ,(int)nevents,scantype,xsec,addcut.str(),-1); |
737 |
|
if(result<0&&allowflipping) { |
738 |
|
write_info(__FUNCTION__,"Found negative efficiency (signal distribution populating JZB<0 more than JZB>0) - flipping analysis!"); |
769 |
|
Neventsmap->SetBinContent(GlobalBin,nevents); |
770 |
|
ipointmap->SetBinContent(GlobalBin,ipoint); |
771 |
|
if(efficiencyonly) continue; |
772 |
+ |
|
773 |
+ |
if(!shapeanalysis) { |
774 |
+ |
do_systematics_for_one_file((scansample.collection)[scanfileindex].events,(int)nevents,"SUSY SCAN", systematics,flipped, xsec, mcjzb,datajzb,peakerror,requireZ, addcut.str(),true,scantype); |
775 |
+ |
// float JZBcutat = systematics[0][0]; |
776 |
+ |
float mceff = systematics[0][1]; |
777 |
+ |
float mcefferr = systematics[0][2];//MC stat error |
778 |
+ |
float toterr = systematics[0][4]; |
779 |
+ |
float sys_jes = systematics[0][5]; // Jet Energy Scale |
780 |
+ |
float sys_jsu = systematics[0][6]; // JZB scale uncertainty |
781 |
+ |
float sys_res = systematics[0][7]; // resolution |
782 |
+ |
// float mcwoscef = systematics[0][8]; // efficiency without signal contamination |
783 |
+ |
// float mcwoscefr= systematics[0][9]; // error on efficiency without signal contamination |
784 |
+ |
float sys_pdf = 0; |
785 |
+ |
if(systematics[0].size()>10) sys_pdf = systematics[0][10]; // PDF |
786 |
+ |
dout << "Going to store: total error is: " << toterr << " and the relative tot error, i.e. total error / mc efficiency is " << toterr/mceff << endl; |
787 |
+ |
if(mceff!=mceff||toterr!=toterr||mceff<0 && (!systematicsonly&&!efficiencyonly)) { |
788 |
+ |
dout << "Limits can't be calculated for this configuration (" << massgluname <<"="<<mglu<<" , " << massLSPname << "="<<mlsp << ") as either the efficiency or its error are not positive numbers! (mceff="<<mceff<<"and toterr="<<toterr<<")"<< endl; |
789 |
+ |
continue; |
790 |
+ |
} else { |
791 |
+ |
// Systematics and efficiencies make sense (i.e. non-zero, and all numbers) |
792 |
+ |
if(!systematicsonly&&!efficiencyonly) { |
793 |
+ |
dout << "Calculating limit now for "<<massgluname<<"="<<mglu<<" , "<<massLSPname<<"="<<mlsp <<endl; |
794 |
+ |
vector<float> sigmas; |
795 |
+ |
string plotfilename=(string)(TString((scansample.collection)[scanfileindex].samplename)+TString(massgluname)+TString(any2string(mglu))+TString("__")+TString(massLSPname)+TString(any2string(mlsp))+TString(".png")); |
796 |
+ |
sigmas=compute_one_upper_limit(mceff,toterr,ibin,mcjzb,plotfilename,true,flipped); |
797 |
+ |
// do_limit_wrapper(mceff,toterr,ibin,mcjzb,sigmas,plotfilename); |
798 |
+ |
if(sigmas[0]>-0.5) { // negative sigmas are the error signature of do_limit_wrapper, so we want to exclude them. |
799 |
+ |
limitmap->SetBinContent(GlobalBin,sigmas[0]); |
800 |
+ |
if(sigmas.size()>1) { |
801 |
+ |
explimitmap->SetBinContent(GlobalBin,sigmas[1]); |
802 |
+ |
exp1plimitmap->SetBinContent(GlobalBin,sigmas[2]); |
803 |
+ |
exp1mlimitmap->SetBinContent(GlobalBin,sigmas[3]); |
804 |
+ |
exp2plimitmap->SetBinContent(GlobalBin,sigmas[4]); |
805 |
+ |
exp2mlimitmap->SetBinContent(GlobalBin,sigmas[5]); |
806 |
+ |
} |
807 |
+ |
sysjesmap->SetBinContent(GlobalBin,sys_jes); |
808 |
+ |
sysjsumap->SetBinContent(GlobalBin,sys_jsu); |
809 |
+ |
sysresmap->SetBinContent(GlobalBin,sys_res); |
810 |
+ |
syspdfmap->SetBinContent(GlobalBin,sys_pdf); |
811 |
+ |
systotmap->SetBinContent(GlobalBin,toterr/mceff);//total relative (!) error |
812 |
+ |
sysstatmap->SetBinContent(GlobalBin,mcefferr);//total relative (!) error |
813 |
+ |
dout << "A limit has been added at " << sigmas[0] << " for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl; |
814 |
+ |
}//end of if sigma is positive |
815 |
+ |
}//end of not systematics only condition |
816 |
+ |
if(systematicsonly) { |
817 |
+ |
sysjesmap->SetBinContent(GlobalBin,sys_jes); |
818 |
+ |
sysjsumap->SetBinContent(GlobalBin,sys_jsu); |
819 |
+ |
sysresmap->SetBinContent(GlobalBin,sys_res); |
820 |
+ |
syspdfmap->SetBinContent(GlobalBin,sys_pdf); |
821 |
+ |
systotmap->SetBinContent(GlobalBin,toterr/mceff);//total relative (!) error |
822 |
+ |
sysstatmap->SetBinContent(GlobalBin,mcefferr);//total relative (!) error |
823 |
+ |
} |
824 |
+ |
}//efficiency is valid |
825 |
+ |
} |
826 |
+ |
if(shapeanalysis) { |
827 |
+ |
//shape analysis |
828 |
+ |
dout << "This is the shape analysis. Have fun with it!" << endl; |
829 |
+ |
float quickmceff,quickmcefferr; |
830 |
+ |
MCefficiency((scansample.collection)[scanfileindex].events,quickmceff,quickmcefferr,flipped,mcjzb,requireZ,(int)nevents,scantype,xsec,addcut.str(),-1); |
831 |
+ |
if(quickmceff==0) { |
832 |
+ |
write_warning(__FUNCTION__,"The MC efficiency is zero - need to skip this point."); |
833 |
+ |
continue; |
834 |
+ |
} |
835 |
+ |
stringstream PointName; |
836 |
+ |
PointName << massgluname << "_" << mglu << "__" << massLSPname << "_" << mlsp; |
837 |
+ |
SUSYScanSpace::SavedMLSP=mlsp; |
838 |
+ |
SUSYScanSpace::SavedMGlu=mglu; |
839 |
+ |
SUSYScanSpace::SavedMLSPname=massLSPname; |
840 |
+ |
SUSYScanSpace::SavedMGluname=massgluname; |
841 |
+ |
float referenceXS=0; |
842 |
+ |
if(scantype==mSUGRA) referenceXS=XSmap->GetBinContent(GlobalBin); |
843 |
+ |
else referenceXS=getSMSxs(mlsp,mglu); |
844 |
+ |
float low_fullCLs=referenceXS*0.5; |
845 |
+ |
float high_fullCLs=referenceXS*2.5; |
846 |
+ |
if(scantype!=mSUGRA) { |
847 |
+ |
low_fullCLs=-1; |
848 |
+ |
high_fullCLs=10e10; |
849 |
+ |
} |
850 |
+ |
ShapeDroplet droplet = LimitsFromShapes(low_fullCLs,high_fullCLs, (scansample.collection)[scanfileindex].events,addcut.str().c_str(),PointName.str(),mcjzb,datajzb,jzb_cut,peakerror,peakerror); |
851 |
+ |
if(!isValidShapeResult(droplet)) { |
852 |
+ |
write_error(__FUNCTION__,"Something went horribly wrong with the shape analysis - ignoring this point!!!"); |
853 |
+ |
// scan_SUSY_parameter_space(mcjzb,datajzb,jzb_cut,requireZ, peakerror, peakerrordata, (float)Npoints, (float)ipoint, systematicsonly, efficiencyonly,false); // don't uncomment this line; it would lead to multiple limitmap histos ... |
854 |
+ |
if(njobs==-2) { |
855 |
+ |
delete limcanvas; |
856 |
+ |
return empty; |
857 |
+ |
} |
858 |
+ |
continue; |
859 |
|
|
619 |
– |
do_systematics_for_one_file((scansample.collection)[scanfileindex].events,(int)nevents,"SUSY SCAN", systematics,flipped, xsec, mcjzb,datajzb,peakerror,requireZ, addcut.str(),true,scantype); |
620 |
– |
float JZBcutat = systematics[0][0]; |
621 |
– |
float mceff = systematics[0][1]; |
622 |
– |
float mcefferr = systematics[0][2];//MC stat error |
623 |
– |
float toterr = systematics[0][4]; |
624 |
– |
float sys_jes = systematics[0][5]; // Jet Energy Scale |
625 |
– |
float sys_jsu = systematics[0][6]; // JZB scale uncertainty |
626 |
– |
float sys_res = systematics[0][7]; // resolution |
627 |
– |
float mcwoscef = systematics[0][8]; // efficiency without signal contamination |
628 |
– |
float mcwoscefr= systematics[0][9]; // error on efficiency without signal contamination |
629 |
– |
float sys_pdf = 0; |
630 |
– |
if(systematics[0].size()>10) sys_pdf = systematics[0][10]; // PDF |
631 |
– |
|
632 |
– |
if(mceff!=mceff||toterr!=toterr||mceff<0 && (!systematicsonly&&!efficiencyonly)) { |
633 |
– |
dout << "Limits can't be calculated for this configuration (mglu="<<mglu<<" , mlsp="<<mlsp << ") as either the efficiency or its error are not positive numbers! (mceff="<<mceff<<" and toterr="<<toterr<<")"<< endl; |
634 |
– |
continue; |
635 |
– |
} else { |
636 |
– |
if(!systematicsonly&&!efficiencyonly) { |
637 |
– |
dout << "Calculating limit now for "<<massgluname<<"="<<mglu<<" , "<<massLSPname<<"="<<mlsp <<endl; |
638 |
– |
vector<float> sigmas; |
639 |
– |
string plotfilename=(string)(TString((scansample.collection)[scanfileindex].samplename)+TString(massgluname)+TString(any2string(mglu))+TString("__")+TString(massLSPname)+TString(any2string(mlsp))+TString(".png")); |
640 |
– |
sigmas=compute_one_upper_limit(mceff,toterr,ibin,mcjzb,plotfilename,true,flipped); |
641 |
– |
// do_limit_wrapper(mceff,toterr,ibin,mcjzb,sigmas,plotfilename); |
642 |
– |
dout << "back in " << __FUNCTION__ << endl; |
643 |
– |
if(sigmas[0]>-0.5) { // negative sigmas are the error signature of do_limit_wrapper, so we want to exclude them. |
644 |
– |
limitmap->SetBinContent(GlobalBin,sigmas[0]); |
645 |
– |
if(sigmas.size()>1) { |
646 |
– |
explimitmap->SetBinContent(GlobalBin,sigmas[1]); |
647 |
– |
exp1plimitmap->SetBinContent(GlobalBin,sigmas[2]); |
648 |
– |
exp1mlimitmap->SetBinContent(GlobalBin,sigmas[3]); |
649 |
– |
exp2plimitmap->SetBinContent(GlobalBin,sigmas[4]); |
650 |
– |
exp2mlimitmap->SetBinContent(GlobalBin,sigmas[5]); |
860 |
|
} |
861 |
|
|
862 |
< |
sysjesmap->SetBinContent(GlobalBin,sys_jes); |
863 |
< |
sysjsumap->SetBinContent(GlobalBin,sys_jsu); |
864 |
< |
sysresmap->SetBinContent(GlobalBin,sys_res); |
865 |
< |
syspdfmap->SetBinContent(GlobalBin,sys_pdf); |
866 |
< |
systotmap->SetBinContent(GlobalBin,toterr/mceff);//total relative (!) error |
867 |
< |
sysstatmap->SetBinContent(GlobalBin,mcefferr);//total relative (!) error |
868 |
< |
dout << "A limit has been added at " << sigmas[0] << " for m_{glu}="<<mglu << " and m_{lsp}="<<mlsp<<endl; |
869 |
< |
} //end of if sigma is positive |
870 |
< |
|
871 |
< |
//end of not systematics only condition |
872 |
< |
} |
873 |
< |
if(systematicsonly) { |
874 |
< |
sysjesmap->SetBinContent(GlobalBin,sys_jes); |
875 |
< |
sysjsumap->SetBinContent(GlobalBin,sys_jsu); |
876 |
< |
sysresmap->SetBinContent(GlobalBin,sys_res); |
877 |
< |
syspdfmap->SetBinContent(GlobalBin,sys_pdf); |
878 |
< |
systotmap->SetBinContent(GlobalBin,toterr/mceff);//total relative (!) error |
879 |
< |
sysstatmap->SetBinContent(GlobalBin,mcefferr);//total relative (!) error |
880 |
< |
} |
881 |
< |
}//efficiency is valid |
862 |
> |
float excludedXSobs = droplet.observed/droplet.SignalIntegral; |
863 |
> |
absXSmap->SetBinContent(GlobalBin,referenceXS); |
864 |
> |
write_info(__FUNCTION__,"Established limit at "+any2string(excludedXSobs)+" , ref XS is "+any2string(referenceXS)); |
865 |
> |
if(njobs==-2) { |
866 |
> |
//this is the non-scan case |
867 |
> |
vector<float> sigmas; |
868 |
> |
sigmas.push_back(droplet.observed/droplet.SignalIntegral); |
869 |
> |
sigmas.push_back(droplet.expected/droplet.SignalIntegral); |
870 |
> |
sigmas.push_back(droplet.expectedPlus1Sigma/droplet.SignalIntegral); |
871 |
> |
sigmas.push_back(droplet.expectedMinus1Sigma/droplet.SignalIntegral); |
872 |
> |
sigmas.push_back(droplet.expectedPlus2Sigma/droplet.SignalIntegral); |
873 |
> |
sigmas.push_back(droplet.expectedMinus2Sigma/droplet.SignalIntegral); |
874 |
> |
delete limcanvas; |
875 |
> |
return sigmas; |
876 |
> |
} |
877 |
> |
|
878 |
> |
rawlimitmap->SetBinContent(GlobalBin,droplet.observed); |
879 |
> |
rawelimitmap->SetBinContent(GlobalBin,droplet.expected); |
880 |
> |
limitmap->SetBinContent(GlobalBin,droplet.observed/droplet.SignalIntegral); |
881 |
> |
explimitmap->SetBinContent(GlobalBin,droplet.expected/droplet.SignalIntegral); |
882 |
> |
exp1plimitmap->SetBinContent(GlobalBin,droplet.expectedPlus1Sigma/droplet.SignalIntegral); |
883 |
> |
exp1mlimitmap->SetBinContent(GlobalBin,droplet.expectedMinus1Sigma/droplet.SignalIntegral); |
884 |
> |
exp2plimitmap->SetBinContent(GlobalBin,droplet.expectedPlus2Sigma/droplet.SignalIntegral); |
885 |
> |
exp2mlimitmap->SetBinContent(GlobalBin,droplet.expectedMinus2Sigma/droplet.SignalIntegral); |
886 |
> |
dout <<"Saved the following shape limit: " << droplet.observed/droplet.SignalIntegral << " (observed) , " << droplet.expected/droplet.SignalIntegral << " (expected) " << endl; |
887 |
> |
sysjesmap->SetBinContent(GlobalBin,droplet.JES); |
888 |
> |
sysjsumap->SetBinContent(GlobalBin,droplet.JSU); |
889 |
> |
syspdfmap->SetBinContent(GlobalBin,droplet.PDF); |
890 |
> |
systotmap->SetBinContent(GlobalBin,droplet.toterr); |
891 |
> |
sysstatmap->SetBinContent(GlobalBin,droplet.staterr); |
892 |
> |
} |
893 |
|
finish = clock(); |
894 |
|
timemap->SetBinContent(GlobalBin,((float(finish)-float(start))/CLOCKS_PER_SEC)); |
895 |
|
} |
896 |
|
} |
677 |
– |
|
897 |
|
prepare_scan_axis(limitmap,scantype); |
898 |
|
prepare_scan_axis(sysjesmap,scantype); |
899 |
|
prepare_scan_axis(sysjsumap,scantype); |
904 |
|
prepare_scan_axis(timemap,scantype); |
905 |
|
|
906 |
|
if(!systematicsonly&&!efficiencyonly) { |
907 |
< |
limcanvas->cd(); |
907 |
> |
TObject* old=gDirectory->GetList()->FindObject("limcanvas"); |
908 |
> |
if(old) gDirectory->GetList()->Remove(old); |
909 |
> |
TCanvas *limcanvas = new TCanvas("limcanvas","Limit canvas"); |
910 |
|
limitmap->Draw("COLZ"); |
911 |
|
string titletobewritten="Limits in LSP-Glu plane"; |
912 |
|
if(scantype==mSUGRA) titletobewritten="Limits in m_{1/2}-m_{0} plane"; |
920 |
|
if(systematicsonly) outputfile=new TFile(("output/DistributedSystematics_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");//needs to be "UPDATE" as we can get to this point for different JZB cuts and don't want to erase the previous data :-) |
921 |
|
else outputfile=new TFile(("output/DistributedLimits_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE");//needs to be "UPDATE" as we can get to this point for |
922 |
|
limitmap->Write(); |
923 |
+ |
rawlimitmap->Write(); |
924 |
+ |
rawelimitmap->Write(); |
925 |
|
if(doexpected) { |
926 |
|
explimitmap->Write(); |
927 |
|
exp1plimitmap->Write(); |
947 |
|
systotmap->Write(); |
948 |
|
sysstatmap->Write(); |
949 |
|
XSmap->Write(); |
950 |
+ |
absXSmap->Write(); |
951 |
+ |
FilterEff->Write(); |
952 |
+ |
if(shapeanalysis) asymptoticmap->Write(); |
953 |
|
if(ibin==0) imposedxmap->Write(); |
954 |
|
if(ibin==0) realxmap->Write(); |
955 |
|
Neventsmap->Write(); |
956 |
+ |
ScanIdentifier->Write(); |
957 |
|
ipointmap->Write(); |
958 |
|
timemap->Write(); |
959 |
< |
for(int i=0;i<susy_Zdecay_origin.size();i++) { |
959 |
> |
for(int i=0;i<(int)susy_Zdecay_origin.size();i++) { |
960 |
|
h_susy_Zdecay_origin[i]->Write(); |
961 |
|
} |
962 |
|
outputfile->Close(); |
1009 |
|
noscefficiencymap->Write(); |
1010 |
|
efficiencymapContam->Write(); |
1011 |
|
Neventsmap->Write(); |
1012 |
+ |
ScanIdentifier->Write(); |
1013 |
|
ipointmap->Write(); |
1014 |
|
syspdfmap->Write(); |
1015 |
|
systotmap->Write(); |
1016 |
|
sysstatmap->Write(); |
1017 |
+ |
absXSmap->Write(); |
1018 |
|
XSmap->Write(); |
1019 |
+ |
FilterEff->Write(); |
1020 |
+ |
if(shapeanalysis) asymptoticmap->Write(); |
1021 |
|
if(ibin==0) imposedxmap->Write(); |
1022 |
|
if(ibin==0) realxmap->Write(); |
1023 |
|
timemap->Write(); |
1024 |
< |
for(int i=0;i<susy_Zdecay_origin.size();i++) { |
1024 |
> |
for(int i=0;i<(int)susy_Zdecay_origin.size();i++) { |
1025 |
|
h_susy_Zdecay_origin[i]->Write(); |
1026 |
|
} |
1027 |
|
outputfile->Close(); |
1088 |
|
TFile *outputfile=new TFile(("output/DistributedSystematics_job"+string(any2string(jobnumber))+"_of_"+string(any2string(njobs))+".root").c_str(),"UPDATE"); |
1089 |
|
ipointmap->Write(); |
1090 |
|
Neventsmap->Write(); |
1091 |
+ |
ScanIdentifier->Write(); |
1092 |
|
noscefficiencymap->Write(); |
1093 |
|
efficiencymapContam->Write(); |
1094 |
|
efficiencymap->Write(); |
1104 |
|
outputfile->Close(); |
1105 |
|
} |
1106 |
|
}//end of efficiencies only |
1107 |
< |
|
1108 |
< |
for(int i=0;i<susy_Zdecay_origin.size();i++) { |
1107 |
> |
|
1108 |
> |
for(int i=0;i<(int)susy_Zdecay_origin.size();i++) { |
1109 |
|
delete h_susy_Zdecay_origin[i]; |
1110 |
|
} |
1111 |
|
|
1127 |
|
delete efficiencymapJets; |
1128 |
|
delete efficiencymapSignal; |
1129 |
|
delete Neventsmap; |
1130 |
+ |
delete ScanIdentifier; |
1131 |
|
delete ipointmap; |
1132 |
|
delete syspdfmap; |
1133 |
|
delete systotmap; |
1134 |
|
delete sysstatmap; |
1135 |
|
delete XSmap; |
1136 |
< |
delete limcanvas; |
1136 |
> |
delete absXSmap; |
1137 |
> |
TObject* old=gDirectory->GetList()->FindObject("limcanvas"); |
1138 |
> |
if(old) gDirectory->GetList()->Remove(old); |
1139 |
> |
return empty; |
1140 |
|
} |
1141 |
|
|
1142 |
< |
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float njobs=-1, float jobnumber=-1, bool systonly=false, bool effonly=false) { |
1142 |
> |
void scan_SUSY_parameter_space(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float peakerrordata, float njobs=-1, float jobnumber=-1, bool systonly=false, bool effonly=false,bool shapeanalysis=false) { |
1143 |
|
dout << "Starting the SUSY scan now with all " << jzb_cut.size() << " bin(s)" << endl; |
1144 |
< |
for(int ibin=0;ibin<jzb_cut.size();ibin++) { |
1145 |
< |
scan_SUSY_parameter_space(mcjzb,datajzb,jzb_cut,requireZ, peakerror, ibin, njobs, jobnumber,systonly,effonly); |
1144 |
> |
dout << " mcjzb: " << mcjzb << endl; |
1145 |
> |
dout << " datajzb: " << datajzb << endl; |
1146 |
> |
dout << " jzb_cut: "; |
1147 |
> |
for(int ib=0;ib<(int)jzb_cut.size()-1;ib++) dout << jzb_cut[ib] << ", "; |
1148 |
> |
dout << jzb_cut[jzb_cut.size()-1] << endl; |
1149 |
> |
dout << " requireZ: " << requireZ << endl; |
1150 |
> |
dout << " Peak error: " << peakerror << endl; |
1151 |
> |
dout << " Data Peak e: " << peakerrordata << endl; |
1152 |
> |
dout << " NJobs : " << njobs << endl; |
1153 |
> |
dout << " Job num: " << jobnumber << endl; |
1154 |
> |
dout << " Syst only?" << systonly << endl; |
1155 |
> |
dout << " Eff only? " << effonly << endl; |
1156 |
> |
dout << " Shape analysis?" << shapeanalysis << endl; |
1157 |
> |
|
1158 |
> |
for(int ibin=0;ibin<(int)jzb_cut.size();ibin++) { |
1159 |
> |
scan_SUSY_parameter_space_for_one_cut(mcjzb,datajzb,jzb_cut,requireZ, peakerror, peakerrordata, ibin, njobs, jobnumber,systonly,effonly,shapeanalysis); |
1160 |
|
} |
1161 |
+ |
delete_any_cached_scans();// tidy up ... |
1162 |
|
} |
1163 |
|
|
1164 |
+ |
|
1165 |
+ |
|
1166 |
+ |
void compute_upper_limits_from_shapes(string mcjzb,string datajzb,vector<float> jzb_cut,bool requireZ, float peakerror, float peakerrordata) { |
1167 |
+ |
dout << "Starting the SUSY scan now with all " << jzb_cut.size() << " bin(s)" << endl; |
1168 |
+ |
vector<vector<float> > limits; |
1169 |
+ |
vector<string> samplename; |
1170 |
+ |
for(int isample=0;isample<(int)signalsamples.collection.size();isample++) { |
1171 |
+ |
limits.push_back(scan_SUSY_parameter_space_for_one_cut(mcjzb,datajzb,jzb_cut,requireZ, peakerror, peakerrordata, 0, -2, -2,false,false,true,signalsamples.collection[isample].filename));// the "-2" stands for "load from customized path" |
1172 |
+ |
} |
1173 |
+ |
for(int isample=0;isample<(int)signalsamples.collection.size();isample++) { |
1174 |
+ |
dout << signalsamples.collection[isample].samplename << " :" << endl; |
1175 |
+ |
dout << " observed : " << limits[isample][0] << endl; |
1176 |
+ |
dout << " expected : " << limits[isample][1] << endl; |
1177 |
+ |
dout << " exp. band: [ " << limits[isample][5] << " , " << limits[isample][3] << " , \033[1;34m " << limits[isample][1] << "\033[0m , " << limits[isample][2] << " , " << limits[isample][4] << "] " << endl; |
1178 |
+ |
} |
1179 |
+ |
} |