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Viewing changes to madgraph/core/base_objects.py

  • Committer: olivier-mattelaer
  • Date: 2022-04-06 19:53:03 UTC
  • mfrom: (962.3.26 3.2.0_eft_running)
  • Revision ID: olivier-mattelaer-20220406195303-ikpe2rvh6olzimyw
merge with eft_running branch

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Lines of Context:
madgraph/core/base_objects.py
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        self['version_tag'] = None # position of the directory (for security)
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        self['gauge'] = [0, 1]
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        self['case_sensitive'] = True
 
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        self['running_elements'] = []
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        self['allow_pickle'] = True
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        self['limitations'] = [] # MLM means that the model can sometimes have issue with MLM/default scale. 
 
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                                 # fix_scale means that the model should use fix_scale computation.
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        # attribute which might be define if needed
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        #self['name2pdg'] = {'name': pdg}
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        return max([inter.get_WEIGHTED_order(self) for inter in \
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                        self.get('interactions')])
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    def get_running(self, used_parameters=None):
 
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        """return a list of parameter which needs to be run together.
 
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           check also that at least one requested coupling is dependent of 
 
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           such running 
 
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        """
 
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        correlated = []
 
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        for key in self["running_elements"]:
 
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            for param_list in key.run_objects:
 
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                names = [k.name for k in param_list]
 
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                try:
 
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                    names.remove('aS')
 
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                except Exception:
 
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                    pass
 
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                # find all set of parameter where at least one paremeter are present
 
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                this_ones = set(names)
 
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                for subset in list(correlated):
 
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                    if any(n in subset for n in names):
 
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                        this_ones.update(subset)
 
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                        correlated.remove(subset)
 
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                correlated.append(this_ones)
 
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        #filtering
 
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        if used_parameters:
 
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            for subset in list(correlated): 
 
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                if not any(n in subset for n in used_parameters):
 
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                    correlated.remove(subset)
 
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        return correlated   
 
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    def check_majoranas(self):
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        """Return True if there is fermion flow violation, False otherwise"""
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    depend = ('external',)
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    type = 'real'
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    def __init__(self, name, value, lhablock, lhacode):
 
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    def __init__(self, name, value, lhablock, lhacode, scale=None):
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        """Initialize a new ParamCardVariable
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        name: name of the variable
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        value: default numerical value
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        self.value = value 
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        self.lhablock = lhablock
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        self.lhacode = lhacode
 
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        self.scale = scale
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#===============================================================================