Belle II Software development
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KLMAlignment Class Reference
Inheritance diagram for KLMAlignment:

Public Member Functions

def __init__ (self, algorithm)
 
def apply_experiment_settings (self, algorithm, experiment)
 

Public Attributes

 millepede_entries
 Number of Millepede entries.
 
 millepede_entries_exp7
 Number of Millepede entries for experiment 7.
 

Static Public Attributes

dict usable_params
 The params that you could set on the Algorithm object which this Strategy would use.
 
list allowed_granularities = ["run"]
 Granularity of collector that can be run by this algorithm properly.
 

Detailed Description

Custom stragery for KLM alignment. Based on SequentialRunByRun strategy,
but requires custom experiment-dependent settings.

Definition at line 17 of file klm_alignment.py.

Constructor & Destructor Documentation

◆ __init__()

def __init__ (   self,
  algorithm 
) 
 

Definition at line 35 of file klm_alignment.py.


   35    def __init__(self, algorithm):


   36        """


   37        """


   38        super().__init__(algorithm)


   39        


   40        self.millepede_entries = 0


   41        


   42        self.millepede_entries_exp7 = 0


   43 








Member Function Documentation



◆ apply_experiment_settings()






      

        

          def apply_experiment_settings 
          (
           
          self, 
        

        

          
          
           
          algorithm, 
        

        

          
          
           
          experiment 
        

        

          
          )
          
        

      




Apply experiment-dependent settings.

 

Definition at line 44 of file klm_alignment.py.


   44    def apply_experiment_settings(self, algorithm, experiment):


   45        """


   46        Apply experiment-dependent settings.


   47        """


   48        if "millepede_entries" in self.algorithm.params:


   49            self.millepede_entries = self.algorithm.params["millepede_entries"]


   50 


   51        if "millepede_entries_exp7" in self.algorithm.params:


   52            self.millepede_entries_exp7 = self.algorithm.params["millepede_entries_exp7"]


   53        if experiment == 7:


   54            algorithm.setMinEntries(self.millepede_entries_exp7)


   55        else:


   56            algorithm.setMinEntries(self.millepede_entries)








Member Data Documentation



◆ allowed_granularities








  

  
      

        

          list allowed_granularities = ["run"]
        

      

  		
  
static  
  







Granularity of collector that can be run by this algorithm properly. 



Definition at line 33 of file klm_alignment.py.








◆ millepede_entries






      

        

          millepede_entries
        

      





Number of Millepede entries. 



Definition at line 40 of file klm_alignment.py.








◆ millepede_entries_exp7






      

        

          millepede_entries_exp7
        

      





Number of Millepede entries for experiment 7. 



Definition at line 42 of file klm_alignment.py.








◆ usable_params








  

  
      

        

          dict usable_params
        

      

  		
  
static  
  





Initial value:
=  {


        "has_experiment_settings": bool,  # Used in SequentialRunByRun.


        "iov_coverage": IoV,              # Used in SequentialRunByRun.


        "millepede_entries": int,


        "millepede_entries_exp7": int,


        "step_size": int                  # Used in SequentialRunByRun.


    }




The params that you could set on the Algorithm object which this Strategy would use. 


Just here for documentation reasons. 



Definition at line 24 of file klm_alignment.py.







The documentation for this class was generated from the following file: