Lorentzian M-estimator.  
 More...
#include <JMEstimator.hh>
 | 
| virtual double  | getRho (const double z) const  | 
|   | Get maximum likelihood estimate.  More...
  | 
|   | 
| virtual double  | getPsi (const double z) const  | 
|   | Get derivative of maximum likelihood estimate.  More...
  | 
|   | 
Lorentzian M-estimator. 
This estimator prouces a logarithmic dependence for large deviations. 
Definition at line 65 of file JMEstimator.hh.
 
  
  
      
        
          | virtual double JFIT::JMEstimatorLorentzian::getRho  | 
          ( | 
          const double  | 
          z | ) | 
           const | 
         
       
   | 
  
inlinevirtual   | 
  
 
Get maximum likelihood estimate. 
- Parameters
 - 
  
  
 
- Returns
 - likelihood 
 
Implements JFIT::JMEstimator.
Definition at line 68 of file JMEstimator.hh.
   68 { 
return log (1.0 + 0.5*z*z); }
 
then cat $TRIPOD_INITIAL<< EOF1 256877.5 4743716.7-2438.42 256815.5 4743395.0-2435.53 257096.2 4743636.0-2439.5EOFfiif[[!-f $DETECTOR]];then JEditDetector-a $DETECTOR_INITIAL-s"-1 addz -6.9"-o $DETECTOR--!eval`JPrintDetector-a $DETECTOR-O SUMMARY`for STRING in ${STRINGS[*]};do set_variable MODULE`getModule-a $DETECTOR-L"$STRING 0"`JEditDetector-a $DETECTOR-M"$MODULE setz -2.9"-o $DETECTOR--!donefiif[[!-f $TRIPOD]];then cp-p $TRIPOD_INITIAL $TRIPODfiJAcoustics.sh $DETECTOR_IDcat > acoustics_trigger_parameters txt<< EOFQ=0.0;TMax_s=0.020;numberOfHits=90;EOFJAcousticsEventBuilder.sh $DETECTOR $RUNS[*]INPUT_FILES=(`ls KM3NeT_ ${(l:8::0::0:) DETECTOR_ID}_0 *${^RUNS}_event.root`) cd $WORKDIRif[!$HOMEDIR-ef $WORKDIR];then cp-p $HOMEDIR/$DETECTOR $WORKDIR cp-p $HOMEDIR/${^ACOUSTICS_KEYS}.txt $WORKDIR cp-p $HOMEDIR/${^INPUT_FILES}$WORKDIRfisource $JPP_DIR/examples/JAcoustics/acoustics-fit-toolkit.shtimer_startinitialise stage_b 1 0 100.0e-6 10.0 0.002 0.1 0 > &stage log
 
 
 
 
  
  
      
        
          | virtual double JFIT::JMEstimatorLorentzian::getPsi  | 
          ( | 
          const double  | 
          z | ) | 
           const | 
         
       
   | 
  
inlinevirtual   | 
  
 
Get derivative of maximum likelihood estimate. 
- Parameters
 - 
  
  
 
- Returns
 - derivative 
 
Implements JFIT::JMEstimator.
Definition at line 69 of file JMEstimator.hh.
   69 { 
return z / (1.0 + 0.5*z*z); }
 
 
 
 
The documentation for this struct was generated from the following file: