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badchannel-calib-workflow.cxx File Reference

Go to the source code of this file.

Functions

void customize (std::vector< o2::framework::ConfigParamSpec > &workflowOptions)
 
DataProcessorSpec getBadChannelCalibratorSpec (const char *specName, const std::string inputSpec)
 
WorkflowSpec defineDataProcessing (ConfigContext const &configcontext)
 

Variables

const charspecName = "mch-badchannel-calibrator"
 

Function Documentation

◆ customize()

void customize ( std::vector< o2::framework::ConfigParamSpec > &  workflowOptions)

Definition at line 26 of file badchannel-calib-workflow.cxx.

◆ defineDataProcessing()

WorkflowSpec defineDataProcessing ( ConfigContext const &  configcontext)

To be implemented by the user to specify one or more DataProcessorSpec.

Use the ConfigContext context in input to get the value of global configuration properties like command line options, number of available CPUs or whatever can affect the creation of the actual workflow.

Returns
a std::vector of DataProcessorSpec which represents the actual workflow to be executed

The workflow executable for the stand alone CPV reconstruction workflow The basic workflow for CPV reconstruction is defined in RecoWorkflow.cxx and contains the following default processors

  • digit reader
  • clusterer

The default workflow can be customized by specifying input and output types e.g. digits, raw, tracks.

MC info is processed by default, disabled by using command line option --disable-mc

This function hooks up the the workflow specifications into the DPL driver.

The workflow executable for the stand alone CTP reconstruction workflow

  • digit and lumi reader This function hooks up the the workflow specifications into the DPL driver.

The workflow executable for the stand alone EMCAL reconstruction workflow The basic workflow for EMCAL reconstruction is defined in RecoWorkflow.cxx and contains the following default processors

  • digit reader
  • clusterer

The default workflow can be customized by specifying input and output types e.g. digits, raw, tracks.

MC info is processed by default, disabled by using command line option --disable-mc

This function hooks up the the workflow specifications into the DPL driver.

The workflow executable for the stand alone TOF reconstruction workflow The basic workflow for TOF reconstruction is defined in RecoWorkflow.cxx and contains the following default processors

  • digit reader
  • clusterer
  • cluster raw decoder
  • track-TOF matcher

The default workflow can be customized by specifying input and output types e.g. digits, raw, clusters.

MC info is processed by default, disabled by using command line option --disable-mc

This function hooks up the the workflow specifications into the DPL driver.

DPL Workflow to process MCH or MID DCS data points.

The expected input is a vector of DataPointCompositeObject containing only MCH (or only MID) data points.

Those datapoints are accumulated into DPMAPs (map from alias names to vector of DataPointValue).

The accumulated DPMAPs are sent to the output whenever :

  • they reach a given size (–xx-max-size option(s))
  • they span a given duration (–xx-max-duration option(s))
  • the workflow is ended

DPL workflow which generates fake random MCH DCS data points.

Data points are generated for HV (currents and voltages) as well as for LV (DualSampa analog and digital voltages, and SOLAR voltages).

DPL workflow which generates fake random MID DCS data points.

Data points are generated for HV (currents and voltages).

Definition at line 62 of file badchannel-calib-workflow.cxx.

◆ getBadChannelCalibratorSpec()

DataProcessorSpec getBadChannelCalibratorSpec ( const char specName,
const std::string  inputSpec 
)

Definition at line 35 of file badchannel-calib-workflow.cxx.

Variable Documentation

◆ specName

const char* specName = "mch-badchannel-calibrator"

Definition at line 23 of file badchannel-calib-workflow.cxx.