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MakeModelAndMeasurements.cxx
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1// @(#)root/roostats:$Id: cranmer $
2// Author: Kyle Cranmer, Akira Shibata
3/*************************************************************************
4 * Copyright (C) 1995-2008, Rene Brun and Fons Rademakers. *
5 * All rights reserved. *
6 * *
7 * For the licensing terms see $ROOTSYS/LICENSE. *
8 * For the list of contributors see $ROOTSYS/README/CREDITS. *
9 *************************************************************************/
10
11////////////////////////////////////////////////////////////////////////////////
12
13/**
14\ingroup HistFactory
15
16BEGIN_HTML
17<p>
18This is a package that creates a RooFit probability density function from ROOT histograms
19of expected distributions and histograms that represent the +/- 1 sigma variations
20from systematic effects. The resulting probability density function can then be used
21with any of the statistical tools provided within RooStats, such as the profile
22likelihood ratio, Feldman-Cousins, etc. In this version, the model is directly
23fed to a likelihodo ratio test, but it needs to be further factorized.</p>
24
25<p>
26The user needs to provide histograms (in picobarns per bin) and configure the job
27with XML. The configuration XML is defined in the file config/Config.dtd, but essentially
28it is organized as follows (see config/Combination.xml and config/ee.xml for examples)</p>
29
30<ul>
31<li> - a top level 'Combination' that is composed of:</li>
32<ul>
33 <li>- several 'Channels' (eg. ee, emu, mumu), which are composed of:</li>
34 <ul>
35 <li>- several 'Samples' (eg. signal, bkg1, bkg2, ...), each of which has:</li>
36 <ul>
37 <li> - a name</li>
38 <li> - if the sample is normalized by theory (eg N = L*sigma) or not (eg. data driven)</li>
39 <li> - a nominal expectation histogram</li>
40 <li> - a named 'Normalization Factor' (which can be fixed or allowed to float in a fit)</li>
41 <li> - several 'Overall Systematics' in normalization with:</li>
42 <ul>
43 <li> - a name</li>
44 <li> - +/- 1 sigma variations (eg. 1.05 and 0.95 for a 5% uncertainty)</li>
45 </ul>
46 <li>- several 'Histogram Systematics' in shape with:</li>
47 <ul>
48 <li>- a name (which can be shared with the OverallSyst if correlated)</li>
49 <li>- +/- 1 sigma variational histograms</li>
50 </ul>
51 </ul>
52 </ul>
53 <li>- several 'Measurements' (corresponding to a full fit of the model) each of which specifies</li>
54 <ul>
55 <li>- a name for this fit to be used in tables and files</li>
56 <ul>
57 <li> - what is the luminosity associated to the measurement in picobarns</li>
58 <li> - which bins of the histogram should be used</li>
59 <li> - what is the relative uncertainty on the luminosity </li>
60 <li> - what is (are) the parameter(s) of interest that will be measured</li>
61 <li> - which parameters should be fixed/floating (eg. nuisance parameters)</li>
62 </ul>
63 </ul>
64</ul>
65END_HTML
66*/
67//
68
69
70// from std
71#include <string>
72#include <vector>
73#include <map>
74#include <iostream>
75#include <sstream>
76
77// from root
78#include "TFile.h"
79#include "TH1F.h"
80#include "TDOMParser.h"
81#include "TXMLAttr.h"
82#include "TString.h"
83
84// from roofit
86
87// from this package
88#include "Helper.h"
93
94
95using namespace RooFit;
96using namespace RooStats;
97using namespace HistFactory;
98
99using namespace std;
100
101void topDriver(string input);
102// void fastDriver(string input); // in MakeModelAndMeasurementsFast
103
104/*
105//_____________________________batch only_____________________
106#ifndef __CINT__
107
108int main(int argc, char** argv) {
109
110 if(! (argc>1)) {
111 cerr << "need input file" << endl;
112 exit(1);
113 }
114
115 if(argc==2){
116 string input(argv[1]);
117 try {
118 fastDriver(input);
119 }
120 catch (std::string str) {
121 cerr << "caught exception: " << str << endl ;
122 }
123 catch( const exception& e ) {
124 cerr << "Caught Exception: " << e.what() << endl;
125 }
126 }
127
128 if(argc==3){
129 string flag(argv[1]);
130 string input(argv[2]);
131 if(flag=="-standard_form")
132 try {
133 fastDriver(input);
134 }
135 catch (std::string str) {
136 cerr << "caught exception: " << str << endl ;
137 }
138 catch( const exception& e ) {
139 cerr << "Caught Exception: " << e.what() << endl;
140 }
141 else if(flag=="-number_counting_form")
142 try {
143 topDriver(input);
144 }
145 catch (std::string str) {
146 cerr << "caught exception: " << str << endl ;
147 }
148 catch( const exception& e ) {
149 cerr << "Caught Exception: " << e.what() << endl;
150 }
151
152 else
153 cerr <<"unrecognized flag. Options are -standard_form or -number_counting_form"<<endl;
154
155 }
156 return 0;
157}
158
159#endif
160*/
161
162void topDriver( string input ) {
163
164
165 // Make the list of measurements and channels
166 std::vector< HistFactory::Measurement > measurement_list;
167 //std::vector< HistFactory::Channel > channel_list;
168
169
171
172 // Fill them using the XML parser
173 //xmlParser.FillMeasurementsAndChannelsFromXML( input, measurement_list, channel_list );
174
175 measurement_list = xmlParser.GetMeasurementsFromXML( input );
176
177 // At this point, we have all the information we need
178 // from the xml files.
179
180
181 // We will make the measurements 1-by-1
182 // This part will be migrated to the
183 // MakeModelAndMeasurements function,
184 // but is here for now.
185
186
187 for(unsigned int i = 0; i < measurement_list.size(); ++i) {
188
189 HistFactory::Measurement measurement = measurement_list.at(i);
190
191 // Add the channels to this measurement
192 //for( unsigned int chanItr = 0; chanItr < channel_list.size(); ++chanItr ) {
193 // measurement.channels.push_back( channel_list.at( chanItr ) );
194 //}
195
196 // This part (OF COURSE) needs to be added:
197
198
199 std::string rowTitle = measurement.GetName();
200 std::string outputFileName = measurement.GetOutputFilePrefix() + "_" + measurement.GetName() + ".root";
201
202 double lumiError = measurement.GetLumi()*measurement.GetLumiRelErr();
203
204 TFile* outFile = new TFile(outputFileName.c_str(), "recreate");
205 HistoToWorkspaceFactory factory(measurement.GetOutputFilePrefix(), rowTitle, measurement.GetConstantParams(),
206 measurement.GetLumi(), lumiError,
207 measurement.GetBinLow(), measurement.GetBinHigh(), outFile);
208
209 // Create the workspaces for the channels
210 vector<RooWorkspace*> channel_workspaces;
211 vector<string> channel_names;
212
213
214 // Loop over channels and make the individual
215 // channel fits:
216
217
218 // read the xml for each channel and combine
219
220 for( unsigned int chanItr = 0; chanItr < measurement.GetChannels().size(); ++chanItr ) {
221
222 HistFactory::Channel& channel = measurement.GetChannels().at( chanItr );
223
224
225 string ch_name=channel.GetName();
226 channel_names.push_back(ch_name);
227
228 std::vector< EstimateSummary > dummy;
229 RooWorkspace* ws = factory.MakeSingleChannelModel( dummy, measurement.GetConstantParams() );
230 if( ws==NULL ) {
231 std::cout << "Failed to create SingleChannelModel for channel: " << channel.GetName()
232 << " and measurement: " << measurement.GetName() << std::endl;
233 throw hf_exc();
234 }
235 //RooWorkspace* ws = factory.MakeSingleChannelModel( channel );
236 channel_workspaces.push_back(ws);
237
238 // set poi in ModelConfig
239 ModelConfig* proto_config = (ModelConfig *) ws->obj("ModelConfig");
240
241 std::cout << "Setting Parameter of Interest as :" << measurement.GetPOI() << endl;
242 RooRealVar* poi = (RooRealVar*) ws->var( (measurement.GetPOI()).c_str() );
243 RooArgSet * params= new RooArgSet;
244 if(poi){
245 params->add(*poi);
246 }
247 proto_config->SetParametersOfInterest(*params);
248
249
250 // Gamma/Uniform Constraints:
251 // turn some Gaussian constraints into Gamma/Uniform/LogNorm constraints, rename model newSimPdf
252 if( measurement.GetGammaSyst().size()>0 || measurement.GetUniformSyst().size()>0 || measurement.GetLogNormSyst().size()>0) {
253 factory.EditSyst( ws, ("model_"+ch_name).c_str(), measurement.GetGammaSyst(), measurement.GetUniformSyst(), measurement.GetLogNormSyst());
254 proto_config->SetPdf( *ws->pdf("newSimPdf") );
255 }
256
257 // fill out ModelConfig and export
258 RooAbsData* expData = ws->data("expData");
259 if(poi){
260 proto_config->GuessObsAndNuisance(*expData);
261 }
262 std::string ChannelFileName = measurement.GetOutputFilePrefix() + "_" + ch_name + "_" + rowTitle + "_model.root";
263 ws->writeToFile( ChannelFileName.c_str() );
264
265 // Now, write the measurement to the file
266 // Make a new measurement for only this channel
267 RooStats::HistFactory::Measurement meas_chan( measurement );
268 meas_chan.GetChannels().clear();
269 meas_chan.GetChannels().push_back( channel );
270 TFile* chanFile = TFile::Open( ChannelFileName.c_str(), "UPDATE" );
271 meas_chan.writeToFile( chanFile );
272 chanFile->Close();
273
274 // do fit unless exportOnly requested
275 if(! measurement.GetExportOnly() ){
276 if(!poi){
277 cout <<"can't do fit for this channel, no parameter of interest"<<endl;
278 } else{
279 factory.FitModel(ws, ch_name, "newSimPdf", "expData", false);
280 }
281 }
282 fprintf(factory.pFile, " & " );
283 }
284
285
286 // Now, combine the channels
287 RooWorkspace* ws=factory.MakeCombinedModel(channel_names, channel_workspaces);
288 if( ws == NULL ) {
289 std::cout << "Error: Failed to create workspace" << std::endl;
290 throw hf_exc();
291 }
292 // Gamma/Uniform Constraints:
293 // turn some Gaussian constraints into Gamma/Uniform/logNormal constraints, rename model newSimPdf
294 if( measurement.GetGammaSyst().size()>0 || measurement.GetUniformSyst().size()>0 || measurement.GetLogNormSyst().size()>0)
295 factory.EditSyst(ws, "simPdf", measurement.GetGammaSyst(), measurement.GetUniformSyst(), measurement.GetLogNormSyst());
296 //
297 // set parameter of interest according to the configuration
298 //
299 ModelConfig * combined_config = (ModelConfig *) ws->obj("ModelConfig");
300 cout << "Setting Parameter of Interest as :" << measurement.GetPOI() << endl;
301 RooRealVar* poi = (RooRealVar*) ws->var( (measurement.GetPOI()).c_str() );
302 //RooRealVar* poi = (RooRealVar*) ws->var((POI+"_comb").c_str());
303 RooArgSet * params= new RooArgSet;
304 cout << poi << endl;
305 if(poi){
306 params->add(*poi);
307 }
308 combined_config->SetParametersOfInterest(*params);
309 ws->Print();
310
311 // Set new PDF if there are gamma/uniform constraint terms
312 if( measurement.GetGammaSyst().size()>0 || measurement.GetUniformSyst().size()>0 || measurement.GetLogNormSyst().size()>0)
313 combined_config->SetPdf(*ws->pdf("newSimPdf"));
314
315 RooAbsData* simData = ws->data("simData");
316 combined_config->GuessObsAndNuisance(*simData);
317 // ws->writeToFile(("results/model_combined_edited.root").c_str());
318 std::string CombinedFileName = measurement.GetOutputFilePrefix()+"_combined_"+rowTitle+"_model.root";
319 ws->writeToFile( CombinedFileName.c_str() );
320 TFile* combFile = TFile::Open( CombinedFileName.c_str(), "UPDATE" );
321 measurement.writeToFile( combFile );
322 combFile->Close();
323
324
325
326 // TO DO:
327 // Totally factorize the statistical test in "fit Model" to a different area
328 if(! measurement.GetExportOnly() ){
329 if(!poi){
330 cout <<"can't do fit for this channel, no parameter of interest"<<endl;
331 } else{
332 factory.FitModel(ws, "combined", "simPdf", "simData", false);
333 }
334 }
335
336
337 } // End Loop over measurement_list
338
339 // Done
340
341}
342
343/*
344
345void topDriver(string input ){
346
347 // TO DO:
348 // would like to fully factorize the XML parsing.
349 // No clear need to have some here and some in ConfigParser
350
351 / *** read in the input xml *** /
352 TDOMParser xmlparser;
353 Int_t parseError = xmlparser.ParseFile( input.c_str() );
354 if( parseError ) {
355 std::cerr << "Loading of xml document \"" << input
356 << "\" failed" << std::endl;
357 }
358
359 cout << "reading input : " << input << endl;
360 TXMLDocument* xmldoc = xmlparser.GetXMLDocument();
361 TXMLNode* rootNode = xmldoc->GetRootNode();
362
363 if( rootNode->GetNodeName() == TString( "Combination" ) ){
364 string outputFileName, outputFileNamePrefix;
365 vector<string> xml_input;
366
367 TListIter attribIt = rootNode->GetAttributes();
368 TXMLAttr* curAttr = 0;
369 while( ( curAttr = dynamic_cast< TXMLAttr* >( attribIt() ) ) != 0 ) {
370 if( curAttr->GetName() == TString( "OutputFilePrefix" ) ) {
371 outputFileNamePrefix=string(curAttr->GetValue());
372 cout << "output file is : " << outputFileName << endl;
373 }
374 }
375
376 TXMLNode* node = rootNode->GetChildren();
377 while( node != 0 ) {
378 if( node->GetNodeName() == TString( "Input" ) ) {
379 xml_input.push_back(node->GetText());
380 }
381 node = node->GetNextNode();
382 }
383 node = rootNode->GetChildren();
384 while( node != 0 ) {
385 if( node->GetNodeName() == TString( "Measurement" ) ) {
386
387 Double_t nominalLumi=0, lumiRelError=0, lumiError=0;
388 Int_t lowBin=0, highBin=0;
389 string rowTitle, POI, mode;
390 vector<string> systToFix;
391 map<string,double> gammaSyst;
392 map<string,double> uniformSyst;
393 map<string,double> logNormSyst;
394 bool exportOnly = false;
395
396 // TListIter attribIt = node->GetAttributes();
397 // TXMLAttr* curAttr = 0;
398 attribIt = node->GetAttributes();
399 curAttr = 0;
400 while( ( curAttr = dynamic_cast< TXMLAttr* >( attribIt() ) ) != 0 ) {
401
402 if( curAttr->GetName() == TString( "Lumi" ) ) {
403 nominalLumi=atof(curAttr->GetValue());
404 }
405 if( curAttr->GetName() == TString( "LumiRelErr" ) ) {
406 lumiRelError=atof(curAttr->GetValue());
407 }
408 if( curAttr->GetName() == TString( "BinLow" ) ) {
409 lowBin=atoi(curAttr->GetValue());
410 }
411 if( curAttr->GetName() == TString( "BinHigh" ) ) {
412 highBin=atoi(curAttr->GetValue());
413 }
414 if( curAttr->GetName() == TString( "Name" ) ) {
415 rowTitle=curAttr->GetValue();
416 outputFileName=outputFileNamePrefix+"_"+rowTitle+".root";
417 }
418 if( curAttr->GetName() == TString( "Mode" ) ) {
419 cout <<"\n INFO: Mode attribute is deprecated, will ignore\n"<<endl;
420 mode=curAttr->GetValue();
421 }
422 if( curAttr->GetName() == TString( "ExportOnly" ) ) {
423 if(curAttr->GetValue() == TString( "True" ) )
424 exportOnly = true;
425 else
426 exportOnly = false;
427 }
428 }
429
430 if(highBin==0){
431 cout <<"\nERROR: In -number_counting_form must specify BinLow and BinHigh\n"<<endl;
432 return;
433 }
434
435 lumiError=nominalLumi*lumiRelError;
436
437 TXMLNode* mnode = node->GetChildren();
438 while( mnode != 0 ) {
439 if( mnode->GetNodeName() == TString( "POI" ) ) {
440 POI=mnode->GetText();
441 }
442 if( mnode->GetNodeName() == TString( "ParamSetting" ) ) {
443 // TListIter attribIt = mnode->GetAttributes();
444 //TXMLAttr* curAttr = 0;
445 attribIt = mnode->GetAttributes();
446 curAttr = 0;
447 while( ( curAttr = dynamic_cast< TXMLAttr* >( attribIt() ) ) != 0 ) {
448 if( curAttr->GetName() == TString( "Const" ) ) {
449 if(curAttr->GetValue()==TString("True")){
450 AddSubStrings(systToFix, mnode->GetText());
451 }
452 }
453 }
454 }
455 if( mnode->GetNodeName() == TString( "ConstraintTerm" ) ) {
456 vector<string> syst; string type = ""; double rel = 0;
457 AddSubStrings(syst,mnode->GetText());
458 // TListIter attribIt = mnode->GetAttributes();
459 // TXMLAttr* curAttr = 0;
460 attribIt = mnode->GetAttributes();
461 curAttr = 0;
462 while( ( curAttr = dynamic_cast< TXMLAttr* >( attribIt() ) ) != 0 ) {
463 if( curAttr->GetName() == TString( "Type" ) ) {
464 type = curAttr->GetValue();
465 }
466 if( curAttr->GetName() == TString( "RelativeUncertainty" ) ) {
467 rel = atof(curAttr->GetValue());
468 }
469 }
470 if (type=="Gamma" && rel!=0) {
471 for (vector<string>::const_iterator it=syst.begin(); it!=syst.end(); it++) gammaSyst[(*it).c_str()] = rel;
472 }
473 if (type=="Uniform" && rel!=0) {
474 for (vector<string>::const_iterator it=syst.begin(); it!=syst.end(); it++) uniformSyst[(*it).c_str()] = rel;
475 }
476 if (type=="LogNormal" && rel!=0) {
477 for (vector<string>::const_iterator it=syst.begin(); it!=syst.end(); it++) logNormSyst[(*it).c_str()] = rel;
478 }
479 }
480 mnode = mnode->GetNextNode();
481 }
482
483 / * Do measurement * /
484 cout << "using lumi = " << nominalLumi << " and lumiError = " << lumiError
485 << " including bins between " << lowBin << " and " << highBin << endl;
486 cout << "fixing the following parameters:" << endl;
487 for(vector<string>::iterator itr=systToFix.begin(); itr!=systToFix.end(); ++itr){
488 cout << " " << *itr << endl;
489 }
490
491 / ***
492 Construction of Model. Only requirement is that they return vector<vector<EstimateSummary> >
493 This is where we use the factory.
494 *** /
495
496 vector<vector<EstimateSummary> > summaries;
497 if(xml_input.empty()){
498 cerr << "no input channels found" << endl;
499 exit(1);
500 }
501
502
503 vector<RooWorkspace*> chs;
504 vector<string> ch_names;
505 TFile* outFile = new TFile(outputFileName.c_str(), "recreate");
506 HistoToWorkspaceFactory factory(outputFileNamePrefix, rowTitle, systToFix, nominalLumi, lumiError, lowBin, highBin , outFile);
507
508
509 // for results tables
510 fprintf(factory.pFile, " %s &", rowTitle.c_str() );
511
512 // read the xml for each channel and combine
513 for(vector<string>::iterator itr=xml_input.begin(); itr!=xml_input.end(); ++itr){
514 vector<EstimateSummary> oneChannel;
515 // read xml
516 ReadXmlConfig(*itr, oneChannel, nominalLumi);
517 // not really needed anymore
518 summaries.push_back(oneChannel);
519 // use factory to create the workspace
520 string ch_name=oneChannel[0].channel;
521 ch_names.push_back(ch_name);
522 RooWorkspace * ws = factory.MakeSingleChannelModel(oneChannel, systToFix);
523 chs.push_back(ws);
524 // set poi in ModelConfig
525 ModelConfig * proto_config = (ModelConfig *) ws->obj("ModelConfig");
526 cout << "Setting Parameter of Interest as :" << POI << endl;
527 RooRealVar* poi = (RooRealVar*) ws->var(POI.c_str());
528 RooArgSet * params= new RooArgSet;
529 if(poi){
530 params->add(*poi);
531 }
532 proto_config->SetParametersOfInterest(*params);
533
534
535 // Gamma/Uniform Constraints:
536 // turn some Gaussian constraints into Gamma/Uniform/LogNorm constraints, rename model newSimPdf
537 if(gammaSyst.size()>0 || uniformSyst.size()>0 || logNormSyst.size()>0) {
538 factory.EditSyst(ws,("model_"+oneChannel[0].channel).c_str(),gammaSyst,uniformSyst,logNormSyst);
539 proto_config->SetPdf(*ws->pdf("newSimPdf"));
540 }
541
542 // fill out ModelConfig and export
543 RooAbsData* expData = ws->data("expData");
544 if(poi){
545 proto_config->GuessObsAndNuisance(*expData);
546 }
547 ws->writeToFile((outputFileNamePrefix+"_"+ch_name+"_"+rowTitle+"_model.root").c_str());
548
549 // do fit unless exportOnly requested
550 if(!exportOnly){
551 if(!poi){
552 cout <<"can't do fit for this channel, no parameter of interest"<<endl;
553 } else{
554 factory.FitModel(ws, ch_name, "newSimPdf", "expData", false);
555 }
556 }
557 fprintf(factory.pFile, " & " );
558 }
559
560 / ***
561 Make the combined model:
562 If you want output histograms in root format, create and pass it to the combine routine.
563 "combine" : will do the individual cross-section measurements plus combination
564
565 *** /
566
567
568
569 if(true || mode.find("comb")!=string::npos){ //KC: deprecating Mode="Comb"
570 RooWorkspace* ws=factory.MakeCombinedModel(ch_names,chs);
571 // Gamma/Uniform Constraints:
572 // turn some Gaussian constraints into Gamma/Uniform/logNormal constraints, rename model newSimPdf
573 if(gammaSyst.size()>0 || uniformSyst.size()>0 || logNormSyst.size()>0)
574 factory.EditSyst(ws,"simPdf",gammaSyst,uniformSyst,logNormSyst);
575 //
576 // set parameter of interest according to the configuration
577 //
578 ModelConfig * combined_config = (ModelConfig *) ws->obj("ModelConfig");
579 cout << "Setting Parameter of Interest as :" << POI << endl;
580 RooRealVar* poi = (RooRealVar*) ws->var((POI).c_str());
581 //RooRealVar* poi = (RooRealVar*) ws->var((POI+"_comb").c_str());
582 RooArgSet * params= new RooArgSet;
583 cout << poi << endl;
584 if(poi){
585 params->add(*poi);
586 }
587 combined_config->SetParametersOfInterest(*params);
588 ws->Print();
589
590 // Set new PDF if there are gamma/uniform constraint terms
591 if(gammaSyst.size()>0 || uniformSyst.size()>0 || logNormSyst.size()>0)
592 combined_config->SetPdf(*ws->pdf("newSimPdf"));
593
594 RooAbsData* simData = ws->data("simData");
595 combined_config->GuessObsAndNuisance(*simData);
596 // ws->writeToFile(("results/model_combined_edited.root").c_str());
597 ws->writeToFile((outputFileNamePrefix+"_combined_"+rowTitle+"_model.root").c_str());
598
599 // TO DO:
600 // Totally factorize the statistical test in "fit Model" to a different area
601 if(!exportOnly){
602 if(!poi){
603 cout <<"can't do fit for this channel, no parameter of interest"<<endl;
604 } else{
605 factory.FitModel(ws, "combined", "simPdf", "simData", false);
606 }
607 }
608
609 }
610
611
612 fprintf(factory.pFile, " \\\\ \n");
613
614 outFile->Close();
615 delete outFile;
616
617 }
618 node = node->GetNextNode(); // next measurement
619 }
620 }
621}
622
623
624
625*/
void topDriver(string input)
RooAbsData is the common abstract base class for binned and unbinned datasets.
Definition RooAbsData.h:49
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition RooArgSet.h:29
Bool_t add(const RooAbsArg &var, Bool_t silent=kFALSE) override
Add element to non-owning set.
RooRealVar represents a variable that can be changed from the outside.
Definition RooRealVar.h:39
This class encapsulates all information for the statistical interpretation of one experiment.
Definition Channel.h:30
std::string GetName() const
get name of channel
Definition Channel.h:43
std::vector< RooStats::HistFactory::Measurement > GetMeasurementsFromXML(std::string input)
The "main" method.
void EditSyst(RooWorkspace *proto, const char *pdfNameChar, std::map< std::string, double > gammaSyst, std::map< std::string, double > uniformSyst, std::map< std::string, double > logNormSyst)
cout << "in edit, gammamap.size = " << gammaSyst.size() << ", unimap.size = " << uniformSyst....
void FitModel(RooWorkspace *, std::string, std::string, std::string, bool=false)
RooWorkspace * MakeCombinedModel(std::vector< std::string >, std::vector< RooWorkspace * >)
RooWorkspace * MakeSingleChannelModel(std::vector< RooStats::HistFactory::EstimateSummary > summary, std::vector< std::string > systToFix, bool doRatio=false)
The RooStats::HistFactory::Measurement class can be used to construct a model by combining multiple R...
Definition Measurement.h:30
void writeToFile(TFile *file)
A measurement, once fully configured, can be saved into a ROOT file.
std::map< std::string, double > & GetGammaSyst()
std::map< std::string, double > & GetLogNormSyst()
double GetLumiRelErr()
retrieve relative uncertainty on luminosity
Definition Measurement.h:90
std::map< std::string, double > & GetUniformSyst()
std::vector< std::string > & GetConstantParams()
get vector of all constant parameters
Definition Measurement.h:59
std::vector< RooStats::HistFactory::Channel > & GetChannels()
std::string GetOutputFilePrefix()
retrieve prefix for output files
Definition Measurement.h:41
double GetLumi()
retrieve integrated luminosity
Definition Measurement.h:88
std::string GetPOI(unsigned int i=0)
get name of PoI at given index
Definition Measurement.h:48
ModelConfig is a simple class that holds configuration information specifying how a model should be u...
Definition ModelConfig.h:30
void GuessObsAndNuisance(const RooAbsData &data, bool printModelConfig=true)
Makes sensible guesses of observables, parameters of interest and nuisance parameters if one or multi...
virtual void SetParametersOfInterest(const RooArgSet &set)
Specify parameters of interest.
virtual void SetPdf(const RooAbsPdf &pdf)
Set the Pdf, add to the the workspace if not already there.
Definition ModelConfig.h:81
The RooWorkspace is a persistable container for RooFit projects.
A ROOT file is a suite of consecutive data records (TKey instances) with a well defined format.
Definition TFile.h:54
static TFile * Open(const char *name, Option_t *option="", const char *ftitle="", Int_t compress=ROOT::RCompressionSetting::EDefaults::kUseCompiledDefault, Int_t netopt=0)
Create / open a file.
Definition TFile.cxx:3997
void Close(Option_t *option="") override
Close a file.
Definition TFile.cxx:879
virtual const char * GetName() const
Returns name of object.
Definition TNamed.h:47
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Namespace for the RooStats classes.
Definition Asimov.h:19
void ws()
Definition ws.C:66