jetTools.AddJetCollection Class Reference

Inheritance diagram for jetTools.AddJetCollection:

Public Member Functions
def	__call__
def	__init__
def	getDefaultParameters
def	toolCode

Private Attributes
	_comment
	add comments More...
	_parameters
	initialization of the base class More...

Static Private Attributes
tuple	_defaultParameters = dicttypes.SortedKeysDict()
string	_label = 'addJetCollection'

Detailed Description

Tool to add a new jet collection to your PAT Tuple or to modify an existing one.

Definition at line 346 of file jetTools.py.

Constructor & Destructor Documentation

def jetTools.AddJetCollection.__init__

(

self

)

Initialize elements of the class. Note that the tool needs to be derived from ConfigToolBase to be usable in the configEditor.

Definition at line 353 of file jetTools.py.

References editorTools.UserCodeTool._defaultParameters, heavyIonTools.ConfigureHeavyIons._defaultParameters, coreTools.RunOnData._defaultParameters, Vispa.Plugins.ConfigEditor.ToolDataAccessor.ImportTool._defaultParameters, heavyIonTools.ProductionDefaults._defaultParameters, editorTools.ChangeSource._defaultParameters, cmsswVersionTools.PickRelValInputFiles._defaultParameters, coreTools.RemoveMCMatching._defaultParameters, heavyIonTools.SelectionDefaults._defaultParameters, heavyIonTools.DisbaleMonteCarloDeps._defaultParameters, jetTools.AddJetCollection._defaultParameters, root::helper::RootFunctionAdapter< F, args >.addParameter(), root::helper::RootFunctionHelper< F, args, Tag >.addParameter(), ParameterMgr.addParameter(), fit::RootMinuit< Function >.addParameter(), DropBoxMetadata::Parameters.addParameter(), PythonParameterSet.addParameter(), LutXml.addParameter(), ConfigToolBase.ConfigToolBase.addParameter(), and edm::ParameterSet.addParameter().

    def __init__(self):
        """
        Initialize elements of the class. Note that the tool needs to be derived from ConfigToolBase to be usable in the configEditor.
        """
        ## initialization of the base class
        ConfigToolBase.__init__(self)
        ## add all parameters that should be known to the class
        self.addParameter(self._defaultParameters,'labelName', 'UNDEFINED', "Label name of the new patJet collection.", str)
        self.addParameter(self._defaultParameters,'postfix','', "Postfix from usePF2PAT.", str)
        self.addParameter(self._defaultParameters,'jetSource','', "Label of the input collection from which the new patJet collection should be created", cms.InputTag)
        self.addParameter(self._defaultParameters,'pfCandidates',cms.InputTag('particleFlow'), "Label of the input collection for candidatecandidatese used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'explicitJTA', False, "Use explicit jet-track association")
        self.addParameter(self._defaultParameters,'pvSource',cms.InputTag('offlinePrimaryVertices'), "Label of the input collection for primary vertices used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'svSource',cms.InputTag('inclusiveCandidateSecondaryVertices'), "Label of the input collection for IVF vertices used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'elSource',cms.InputTag('gedGsfElectrons'), "Label of the input collection for electrons used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'muSource',cms.InputTag('muons'), "Label of the input collection for muons used in b-tagging", cms.InputTag)
        self.addParameter(self._defaultParameters,'runIVF', False, "Re-run IVF secondary vertex reconstruction")
        self.addParameter(self._defaultParameters,'loadStdRecoBTag', False, "Load the standard reconstruction b-tagging modules")
        self.addParameter(self._defaultParameters,'svClustering', False, "Secondary vertices ghost-associated to jets using jet clustering (mostly intended for subjets)")
        self.addParameter(self._defaultParameters,'fatJets', cms.InputTag(''), "Fat jet collection used for secondary vertex clustering", cms.InputTag)
        self.addParameter(self._defaultParameters,'groomedFatJets', cms.InputTag(''), "Groomed fat jet collection used for secondary vertex clustering", cms.InputTag)
        self.addParameter(self._defaultParameters,'algo', 'AK', "Jet algorithm of the input collection from which the new patJet collection should be created")
        self.addParameter(self._defaultParameters,'rParam', 0.4, "Jet size (distance parameter R used in jet clustering)")
        self.addParameter(self._defaultParameters,'getJetMCFlavour', True, "Get jet MC truth flavour")
        self.addParameter(self._defaultParameters,'genJetCollection', cms.InputTag("ak4GenJets"), "GenJet collection to match to", cms.InputTag)
        self.addParameter(self._defaultParameters,'genParticles', cms.InputTag("genParticles"), "GenParticle collection to be used", cms.InputTag)
        self.addParameter(self._defaultParameters,'jetCorrections',None, "Add all relevant information about jet energy corrections that you want to be added to your new patJet \
        collection. The format has to be given in a python tuple of type: (\'AK4Calo\',[\'L2Relative\', \'L3Absolute\'], patMet). Here the first argument corresponds to the payload \
        in the CMS Conditions database for the given jet collection; the second argument corresponds to the jet energy correction levels that you want to be embedded into your \
        new patJet collection. This should be given as a list of strings. Available values are L1Offset, L1FastJet, L1JPTOffset, L2Relative, L3Absolute, L5Falvour, L7Parton; the \
        third argument indicates whether MET(Type1/2) corrections should be applied corresponding to the new patJetCollection. If so a new patMet collection will be added to your PAT \
        Tuple in addition to the raw patMet. This new patMet collection will have the MET(Type1/2) corrections applied. The argument can have the following types: \'type-1\' for \
        type-1 corrected MET; \'type-2\' for type-1 plus type-2 corrected MET; \'\' or \'none\' if no further MET corrections should be applied to your MET. The arguments \'type-1\' \
        and \'type-2\' are not case sensitive.", tuple, acceptNoneValue=True)
        self.addParameter(self._defaultParameters,'btagDiscriminators',['None'], "If you are interested in btagging, in most cases just the labels of the btag discriminators that \
        you are interested in is all relevant information that you need for a high level analysis. Add here all btag discriminators, that you are interested in as a list of strings. \
        If this list is empty no btag discriminator information will be added to your new patJet collection.", allowedValues=supportedBtagDiscr.keys(),Type=list)
        self.addParameter(self._defaultParameters,'btagInfos',['None'], "The btagInfos objects contain all relevant information from which all discriminators of a certain \
        type have been calculated. You might be interested in keeping this information for low level tests or to re-calculate some discriminators from hand. Note that this information \
        on the one hand can be very space consuming and that it is not necessary to access the pre-calculated btag discriminator information that has been derived from it. Only in very \
        special cases the btagInfos might really be needed in your analysis. Add here all btagInfos, that you are interested in as a list of strings. If this list is empty no btagInfos \
        will be added to your new patJet collection.", allowedValues=supportedBtagInfos,Type=list)
        self.addParameter(self._defaultParameters,'jetTrackAssociation',False, "Add JetTrackAssociation and JetCharge from reconstructed tracks to your new patJet collection. This \
        switch is only of relevance if you don\'t add any btag information to your new patJet collection (btagDiscriminators or btagInfos) and still want this information added to \
        your new patJetCollection. If btag information of any form is added to the new patJet collection this information will be added automatically.")
        self.addParameter(self._defaultParameters,'outputModules',['out'],"Add a list of all output modules to which you would like the new jet collection to be added. Usually this is \
        just one single output module with name \'out\', which corresponds also the default configuration of the tool. There is cases though where you might want to add this collection \
        to more than one output module.")
        ## set defaults
        self._parameters=copy.deepcopy(self._defaultParameters)
        ## add comments
        self._comment = "This is a tool to add more patJet collectinos to your PAT Tuple or to re-configure the default collection. You can add and embed additional information like jet\
        energy correction factors, btag infomration and generator match information to the new patJet collection depending on the parameters that you pass on to this function. Consult \
        the descriptions of each parameter for more information."