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/** \class HLT1GlobalSums
*
* See header file for documentation
*
*
* \author Martin Grunewald
*
*/
#include <cmath>
#include "FWCore/ParameterSet/interface/ParameterSet.h"
#include "HLTGlobalSums.h"
#include "DataFormats/Common/interface/Handle.h"
#include "DataFormats/Common/interface/Ref.h"
#include "DataFormats/HLTReco/interface/TriggerFilterObjectWithRefs.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "HLTrigger/HLTcore/interface/defaultModuleLabel.h"
//
// constructors and destructor
//
template <typename T>
HLTGlobalSums<T>::HLTGlobalSums(const edm::ParameterSet& iConfig)
: HLTFilter(iConfig),
inputTag_(iConfig.template getParameter<edm::InputTag>("inputTag")),
inputToken_(consumes<std::vector<T>>(inputTag_)),
triggerType_(iConfig.template getParameter<int>("triggerType")),
observable_(iConfig.template getParameter<std::string>("observable")),
min_(iConfig.template getParameter<double>("Min")),
max_(iConfig.template getParameter<double>("Max")),
min_N_(iConfig.template getParameter<int>("MinN")),
tid_(triggerType_) {
LogDebug("") << "InputTags and cuts : " << inputTag_.encode() << " " << triggerType_ << " " << observable_
<< " Range [" << min_ << " " << max_ << "]"
<< " MinN =" << min_N_;
if (observable_ == "sumEt") {
tid_ = triggerType_;
} else if (observable_ == "mEtSig") {
if (triggerType_ == trigger::TriggerTET) {
tid_ = trigger::TriggerMETSig;
} else if (triggerType_ == trigger::TriggerTHT) {
tid_ = trigger::TriggerMHTSig;
} else {
tid_ = triggerType_;
}
} else if (observable_ == "e_longitudinal") {
if (triggerType_ == trigger::TriggerTET) {
tid_ = trigger::TriggerELongit;
} else if (triggerType_ == trigger::TriggerTHT) {
tid_ = trigger::TriggerHLongit;
} else {
tid_ = triggerType_;
}
} else {
tid_ = triggerType_;
}
}
template <typename T>
HLTGlobalSums<T>::~HLTGlobalSums() = default;
template <typename T>
void HLTGlobalSums<T>::fillDescriptions(edm::ConfigurationDescriptions& descriptions) {
edm::ParameterSetDescription desc;
makeHLTFilterDescription(desc);
desc.add<edm::InputTag>("inputTag", edm::InputTag("hltCollection"));
desc.add<int>("triggerType", 0);
desc.add<std::string>("observable", "");
desc.add<double>("Min", -1e125);
desc.add<double>("Max", +1e125);
desc.add<int>("MinN", 1);
descriptions.add(defaultModuleLabel<HLTGlobalSums<T>>(), desc);
}
//
// member functions
//
// ------------ method called to produce the data ------------
template <typename T>
bool HLTGlobalSums<T>::hltFilter(edm::Event& iEvent,
const edm::EventSetup& iSetup,
trigger::TriggerFilterObjectWithRefs& filterproduct) const {
using namespace std;
using namespace edm;
using namespace reco;
using namespace trigger;
typedef vector<T> TCollection;
typedef Ref<TCollection> TRef;
// All HLT filters must create and fill an HLT filter object,
// recording any reconstructed physics objects satisfying (or not)
// this HLT filter, and place it in the Event.
// The filter object
if (saveTags())
filterproduct.addCollectionTag(inputTag_);
// Ref to Candidate object to be recorded in filter object
TRef ref;
// get hold of MET product from Event
Handle<TCollection> objects;
iEvent.getByToken(inputToken_, objects);
if (!objects.isValid()) {
LogDebug("") << inputTag_ << " collection not found!";
return false;
}
LogDebug("") << "Size of MET collection: " << objects->size();
if (objects->empty()) {
LogDebug("") << "MET collection does not contain a MET object!";
} else if (objects->size() > 1) {
LogDebug("") << "MET collection contains more than one MET object!";
}
int n(0);
double value(0.0);
typename TCollection::const_iterator ibegin(objects->begin());
typename TCollection::const_iterator iend(objects->end());
typename TCollection::const_iterator iter;
for (iter = ibegin; iter != iend; iter++) {
// get hold of value of observable to cut on
if ((tid_ == TriggerTET) || (tid_ == TriggerTHT)) {
value = iter->sumEt();
} else if ((tid_ == TriggerMETSig) || (tid_ == TriggerMHTSig)) {
value = iter->mEtSig();
} else if ((tid_ == TriggerELongit) || (tid_ == TriggerHLongit)) {
value = iter->e_longitudinal();
} else {
value = 0.0;
}
value = std::abs(value);
if (((min_ < 0.0) || (min_ <= value)) && ((max_ < 0.0) || (value <= max_))) {
n++;
ref = TRef(objects, distance(ibegin, iter));
filterproduct.addObject(tid_, ref);
}
}
// filter decision
const bool accept(n >= min_N_);
return accept;
}
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