T0CalibrationAlgorithm Class Reference

Class for T0 Correction . More...

#include <T0CalibrationAlgorithm.h>

Inheritance diagram for T0CalibrationAlgorithm:

Public Types
enum	EResult {   c_OK ,   c_Iterate ,   c_NotEnoughData ,   c_Failure ,   c_Undefined }
	The result of calibration. More...

Public Member Functions
	T0CalibrationAlgorithm ()
	Constructor.
	~T0CalibrationAlgorithm ()
	Destructor.
void	storeHisto (bool storeHist=false)
	store Hisotgram or not.
void	setMinimumNDF (double minndf)
	minimum ndf require for track.
void	setMinimumPval (double minPval)
	minimum pvalue requirement.
void	setMaxRMSDt (double maxRMSDt)
	Maximum RMS of dt of all channels distribution, condition to stop iterating.
void	setMaxMeanDt (double maxMeanDt)
	Maximum mean of dt of all channels distribution, condition to stop iterating.
void	setOffsetMeanDt (double offsetMeanDt)
	Maximum mean of dt of all channels distribution, condition to stop iterating.
void	setMaxBadChannel (double max_bad_channel)
	Maximum channel in which T0 is still need to be calibrated.
void	setCommonT0 (double commonT0)
	set common T0
void	enableTextOutput (bool output=true)
	Enable text output of calibration result.
void	setOutputFileName (std::string outputname)
	output xt T0 file name (for text mode)
void	setHistFileName (const std::string &name)
	Set name for histogram output.
std::string	getPrefix () const
	Get the prefix used for getting calibration data.
bool	checkPyExpRun (PyObject *pyObj)
	Checks that a PyObject can be successfully converted to an ExpRun type.
Calibration::ExpRun	convertPyExpRun (PyObject *pyObj)
	Performs the conversion of PyObject to ExpRun.
std::string	getCollectorName () const
	Alias for prefix.
void	setPrefix (const std::string &prefix)
	Set the prefix used to identify datastore objects.
void	setInputFileNames (PyObject *inputFileNames)
	Set the input file names used for this algorithm from a Python list.
PyObject *	getInputFileNames ()
	Get the input file names used for this algorithm and pass them out as a Python list of unicode strings.
std::vector< Calibration::ExpRun >	getRunListFromAllData () const
	Get the complete list of runs from inspection of collected data.
RunRange	getRunRangeFromAllData () const
	Get the complete RunRange from inspection of collected data.
IntervalOfValidity	getIovFromAllData () const
	Get the complete IoV from inspection of collected data.
void	fillRunToInputFilesMap ()
	Fill the mapping of ExpRun -> Files.
std::string	getGranularity () const
	Get the granularity of collected data.
EResult	execute (std::vector< Calibration::ExpRun > runs={}, int iteration=0, IntervalOfValidity iov=IntervalOfValidity())
	Runs calibration over vector of runs for a given iteration.
EResult	execute (PyObject *runs, int iteration=0, IntervalOfValidity iov=IntervalOfValidity())
	Runs calibration over Python list of runs. Converts to C++ and then calls the other execute() function.
std::list< Database::DBImportQuery > &	getPayloads ()
	Get constants (in TObjects) for database update from last execution.
std::list< Database::DBImportQuery >	getPayloadValues ()
	Get constants (in TObjects) for database update from last execution but passed by VALUE.
bool	commit ()
	Submit constants from last calibration into database.
bool	commit (std::list< Database::DBImportQuery > payloads)
	Submit constants from a (potentially previous) set of payloads.
const std::string &	getDescription () const
	Get the description of the algoithm (set by developers in constructor)
bool	loadInputJson (const std::string &jsonString)
	Load the m_inputJson variable from a string (useful from Python interface). The rturn bool indicates success or failure.
const std::string	dumpOutputJson () const
	Dump the JSON string of the output JSON object.
const std::vector< Calibration::ExpRun >	findPayloadBoundaries (std::vector< Calibration::ExpRun > runs, int iteration=0)
	Used to discover the ExpRun boundaries that you want the Python CAF to execute on. This is optional and only used in some.
template<>
std::shared_ptr< TTree >	getObjectPtr (const std::string &name, const std::vector< Calibration::ExpRun > &requestedRuns)
	Specialization of getObjectPtr<TTree>.

Protected Member Functions
EResult	calibrate () override
	Run algo on data.
void	createHisto ()
	create histo for each channel
int	write ()
	write outut or store db
double	getMeanT0 (TH1F *h1)
	calculate mean of the T0 distribution
void	setInputFileNames (std::vector< std::string > inputFileNames)
	Set the input file names used for this algorithm.
virtual bool	isBoundaryRequired (const Calibration::ExpRun &)
	Given the current collector data, make a decision about whether or not this run should be the start of a payload boundary.
virtual void	boundaryFindingSetup (std::vector< Calibration::ExpRun >, int)
	If you need to make some changes to your algorithm class before 'findPayloadBoundaries' is run, make them in this function.
virtual void	boundaryFindingTearDown ()
	Put your algorithm back into a state ready for normal execution if you need to.
const std::vector< Calibration::ExpRun > &	getRunList () const
	Get the list of runs for which calibration is called.
int	getIteration () const
	Get current iteration.
std::vector< std::string >	getVecInputFileNames () const
	Get the input file names used for this algorithm as a STL vector.
template<class T >
std::shared_ptr< T >	getObjectPtr (const std::string &name, const std::vector< Calibration::ExpRun > &requestedRuns)
	Get calibration data object by name and list of runs, the Merge function will be called to generate the overall object.
template<class T >
std::shared_ptr< T >	getObjectPtr (std::string name)
	Get calibration data object (for all runs the calibration is requested for) This function will only work during or after execute() has been called once.
template<>
shared_ptr< TTree >	getObjectPtr (const string &name, const vector< ExpRun > &requestedRuns)
	We cheekily cast the TChain to TTree for the returned pointer so that the user never knows Hopefully this doesn't cause issues if people do low level stuff to the tree...
std::string	getGranularityFromData () const
	Get the granularity of collected data.
void	saveCalibration (TClonesArray *data, const std::string &name)
	Store DBArray payload with given name with default IOV.
void	saveCalibration (TClonesArray *data, const std::string &name, const IntervalOfValidity &iov)
	Store DBArray with given name and custom IOV.
void	saveCalibration (TObject *data)
	Store DB payload with default name and default IOV.
void	saveCalibration (TObject *data, const IntervalOfValidity &iov)
	Store DB payload with default name and custom IOV.
void	saveCalibration (TObject *data, const std::string &name)
	Store DB payload with given name with default IOV.
void	saveCalibration (TObject *data, const std::string &name, const IntervalOfValidity &iov)
	Store DB payload with given name and custom IOV.
void	updateDBObjPtrs (const unsigned int event, const int run, const int experiment)
	Updates any DBObjPtrs by calling update(event) for DBStore.
void	setDescription (const std::string &description)
	Set algorithm description (in constructor)
void	clearCalibrationData ()
	Clear calibration data.
Calibration::ExpRun	getAllGranularityExpRun () const
	Returns the Exp,Run pair that means 'Everything'. Currently unused.
void	resetInputJson ()
	Clears the m_inputJson member variable.
void	resetOutputJson ()
	Clears the m_outputJson member variable.
template<class T >
void	setOutputJsonValue (const std::string &key, const T &value)
	Set a key:value pair for the outputJson object, expected to used interally during calibrate()
template<class T >
const T	getOutputJsonValue (const std::string &key) const
	Get a value using a key from the JSON output object, not sure why you would want to do this.
template<class T >
const T	getInputJsonValue (const std::string &key) const
	Get an input JSON value using a key. The normal exceptions are raised when the key doesn't exist.
const nlohmann::json &	getInputJsonObject () const
	Get the entire top level JSON object. We explicitly say this must be of object type so that we might pick.
bool	inputJsonKeyExists (const std::string &key) const
	Test for a key in the input JSON object.

Protected Attributes
std::vector< Calibration::ExpRun >	m_boundaries
	When using the boundaries functionality from isBoundaryRequired, this is used to store the boundaries. It is cleared when.

Private Member Functions
std::string	getExpRunString (Calibration::ExpRun &expRun) const
	Gets the "exp.run" string repr. of (exp,run)
std::string	getFullObjectPath (const std::string &name, Calibration::ExpRun expRun) const
	constructs the full TDirectory + Key name of an object in a TFile based on its name and exprun

Private Attributes
TH1F *	m_hTotal
	1D histogram of delta T whole channel
TH1F *	m_h1 [56][385]
	1D histogram for each channel
TH1F *	m_hT0b [300]
	1D histogram for each board
double	m_xmin = 0.07
	minimum drift length
double	m_ndfmin = 5
	minimum ndf required
double	m_Pvalmin = 0.
	minimum pvalue required
double	m_maxMeanDt = 0.2
	Mean of dT distribution of all channels;.
double	m_offsetMeanDt = -0.4
	offset dT distribution caused by event timing extraction;
double	m_maxRMSDt = 0.22
	RMS of dT distribution of all channels.
double	m_maxBadChannel = 50
	Number of channels which has DeltaT0 larger then 0.5.
double	dt [56][385] = {{0.}}
	dt of each channel
double	err_dt [56][385] = {{0.}}
	error of dt of each channel
double	dtb [300] = {0.}
	dt of each board
double	err_dtb [300] = {0.}
	error of dt of board
double	m_commonT0 = 4825.
	A common T0 of all channels.
bool	m_storeHisto = false
	store histo or not
bool	m_textOutput = false
	output text file if true
std::string	m_outputT0FileName = "t0_new.dat"
	output t0 file name for text file
std::string	m_histName = "histT0.root"
	root file name
DBObjPtr< CDCGeometry >	m_cdcGeo
	Geometry of CDC.
std::vector< std::string >	m_inputFileNames
	List of input files to the Algorithm, will initially be user defined but then gets the wildcards expanded during execute()
std::map< Calibration::ExpRun, std::vector< std::string > >	m_runsToInputFiles
	Map of Runs to input files. Gets filled when you call getRunRangeFromAllData, gets cleared when setting input files again.
std::string	m_granularityOfData
	Granularity of input data. This only changes when the input files change so it isn't specific to an execution.
ExecutionData	m_data
	Data specific to a SINGLE execution of the algorithm. Gets reset at the beginning of execution.
std::string	m_description {""}
	Description of the algorithm.
std::string	m_prefix {""}
	The name of the TDirectory the collector objects are contained within.
nlohmann::json	m_jsonExecutionInput = nlohmann::json::object()
	Optional input JSON object used to make decisions about how to execute the algorithm code.
nlohmann::json	m_jsonExecutionOutput = nlohmann::json::object()
	Optional output JSON object that can be set during the execution by the underlying algorithm code.

Static Private Attributes
static const Calibration::ExpRun	m_allExpRun = make_pair(-1, -1)
	allExpRun

Detailed Description

Class for T0 Correction .

Definition at line 23 of file T0CalibrationAlgorithm.h.

Member Enumeration Documentation

EResult

enum EResult

inherited

The result of calibration.

Enumerator
c_OK	Finished successfuly =0 in Python.
c_Iterate	Needs iteration =1 in Python.
c_NotEnoughData	Needs more data =2 in Python.
c_Failure	Failed =3 in Python.
c_Undefined	Not yet known (before execution) =4 in Python.

Definition at line 40 of file CalibrationAlgorithm.h.

                 {
      c_OK,           
      c_Iterate,      
      c_NotEnoughData,
      c_Failure,      
      c_Undefined     
    };

Constructor & Destructor Documentation

T0CalibrationAlgorithm()

T0CalibrationAlgorithm

(

)

Constructor.

Definition at line 30 of file T0CalibrationAlgorithm.cc.

                                              : CalibrationAlgorithm("CDCCalibrationCollector")
{
 
  setDescription(
    " -------------------------- T0 Calibration Algorithm -------------------------\n"
  );
}

~T0CalibrationAlgorithm()

~T0CalibrationAlgorithm ( )

inline

Destructor.

Definition at line 28 of file T0CalibrationAlgorithm.h.

{}

Member Function Documentation

boundaryFindingSetup()

virtual void boundaryFindingSetup ( std::vector< Calibration::ExpRun >  , int    )

inlineprotectedvirtualinherited

If you need to make some changes to your algorithm class before 'findPayloadBoundaries' is run, make them in this function.

Reimplemented in TestBoundarySettingAlgorithm, TestCalibrationAlgorithm, PXDAnalyticGainCalibrationAlgorithm, PXDValidationAlgorithm, SVD3SampleCoGTimeCalibrationAlgorithm, SVD3SampleELSTimeCalibrationAlgorithm, and SVDCoGTimeCalibrationAlgorithm.

Definition at line 252 of file CalibrationAlgorithm.h.

{};

boundaryFindingTearDown()

virtual void boundaryFindingTearDown ( )

inlineprotectedvirtualinherited

Put your algorithm back into a state ready for normal execution if you need to.

Definition at line 257 of file CalibrationAlgorithm.h.

{};

calibrate()

CalibrationAlgorithm::EResult calibrate ( )

overrideprotectedvirtual

Run algo on data.

Implements CalibrationAlgorithm.

Definition at line 118 of file T0CalibrationAlgorithm.cc.

{
  B2INFO("Start calibration");
 
  gROOT->SetBatch(1);
  gErrorIgnoreLevel = 3001;
 
  // We are potentially using data from several runs at once during execution
  // (which may have different DBObject values). So in general you would need to
  // average them, or aply them to the correct collector data.
 
  // However since this is the geometry lets assume it is fixed for now.
  const auto exprun = getRunList()[0];
  B2INFO("ExpRun used for DB Geometry : " << exprun.first << " " << exprun.second);
  updateDBObjPtrs(1, exprun.second, exprun.first);
 
  // CDCGeometryPar basically constructs a ton of objects and other DB objects.
  // Normally we'd call updateDBObjPtrs to set the values of the requested DB objects.
  // But in CDCGeometryPar the DB objects get used during the constructor so they must
  // be set before/during the constructor.
 
  // Since we are avoiding using the DataStore EventMetaData, we need to pass in
  // an EventMetaData object to be used when constructing the DB objects.
 
  B2INFO("Creating CDCGeometryPar object");
  CDC::CDCGeometryPar::Instance(&(*m_cdcGeo));
 
  auto hEvtT0 =   getObjectPtr<TH1F>("hEventT0");
  double dEventT0 = hEvtT0->GetMean();
  createHisto();
  TH1F* hm_All = new TH1F("hm_All", "mean of #DeltaT distribution for all chanels", 500, -10, 10);
  TH1F* hs_All = new TH1F("hs_All", "#sigma of #DeltaT distribution for all chanels", 100, 0, 10);
  CDCGeometryPar& cdcgeo = CDCGeometryPar::Instance();
 
  TF1* g1 = new TF1("g1", "gaus", -100, 100);
  g1->SetParLimits(1, -20, 20);
  vector<double> b, db, Sb, dSb;
  vector<double> c[56];
  vector<double> dc[56];
  vector<double> s[56];
  vector<double> ds[56];
 
  B2INFO("Gaus fitting for whole channel");
  double par[3];
  m_hTotal->SetDirectory(0);
  double mean = m_hTotal->GetMean();
  m_hTotal->Fit("g1", "Q", "", mean - 15, mean + 15);
  g1->GetParameters(par);
 
  B2INFO("Gaus fitting for each board");
  for (int ib = 1; ib < 300; ++ib) {
    // Set Delta_T0=0 again to make sure there is no strange case
    // in which T0 might be initialed with a strange value
    dtb[ib] = 0;
    err_dtb[ib] = 0;
 
    if (m_hT0b[ib]->Integral(1, m_hT0b[ib]->GetNbinsX()) < 50) {
      //set error to large number as a flag of bad value
      err_dtb[ib] = 50; continue;
    }
    mean = m_hT0b[ib]->GetMean();
    m_hT0b[ib]->SetDirectory(0);
    m_hT0b[ib]->Fit("g1", "Q", "", mean - 15, mean + 15);
    g1->GetParameters(par);
    b.push_back(ib);
    db.push_back(0.0);
    Sb.push_back(par[1]);
    dSb.push_back(g1->GetParError(1));
    dtb[ib] = par[1] + dEventT0;// add dEvtT0 here
    err_dtb[ib] = g1->GetParError(1);
  }
  B2INFO("Gaus fitting for each cell");
  for (int ilay = 0; ilay < 56; ++ilay) {
    const unsigned int nW = cdcgeo.nWiresInLayer(ilay);
    for (unsigned int iwire = 0; iwire < nW; ++iwire) {
 
      const int n = m_h1[ilay][iwire]->Integral(1, m_h1[ilay][iwire]->GetNbinsX()) ;
      B2DEBUG(21, "layer " << ilay << " wire " << iwire << " entries " << n);
      // Set Delta_T0=0 again to make sure there is no strange case
      // in which T0 might be initialed with a strange value
      dt[ilay][iwire] = 0;
      err_dt[ilay][iwire] = 0;
 
      if (n < 30) {
        //set error to large number as a flag of bad value
        err_dt[ilay][iwire] = 50; continue;
      }
 
      mean = m_h1[ilay][iwire]->GetMean();
      m_h1[ilay][iwire]->SetDirectory(0);
      m_h1[ilay][iwire]->Fit("g1", "Q", "", mean - 15, mean + 15);
      g1->GetParameters(par);
      c[ilay].push_back(iwire);
      dc[ilay].push_back(0.0);
      s[ilay].push_back(par[1]);
      ds[ilay].push_back(g1->GetParError(1));
 
      dt[ilay][iwire] = par[1] + dEventT0; // add dEvtT0 here;
      err_dt[ilay][iwire] = g1->GetParError(1);
      hm_All->Fill(par[1]);// mean of gauss fitting.
      hs_All->Fill(par[2]); // sigma of gauss fitting.
    }
  }
 
  if (m_storeHisto) {
    B2INFO("Storing histograms");
    auto hNDF =   getObjectPtr<TH1F>("hNDF");
    auto hPval =   getObjectPtr<TH1F>("hPval");
    TFile* fout = new TFile(m_histName.c_str(), "RECREATE");
    fout->cd();
    TGraphErrors* gr[56];
    TDirectory* top = gDirectory;
 
    //store NDF, P-val. EventT0 histogram for monitoring during calibration
    if (hNDF && hPval && hEvtT0) {
      hEvtT0->Write();
      hPval->Write();
      hNDF->Write();
    }
    m_hTotal->Write();
    hm_All->Write();
    hs_All->Write();
    TDirectory* subDir[56];
    for (int ilay = 0; ilay < 56; ++ilay) {
      subDir[ilay] = top ->mkdir(Form("lay_%d", ilay));
      subDir[ilay]->cd();
      const unsigned int nW = cdcgeo.nWiresInLayer(ilay);
      for (unsigned int iwire = 0; iwire < nW; ++iwire) {
        m_h1[ilay][iwire]->Write();
      }
    }
 
    top->cd();
    TDirectory* corrT0 = top->mkdir("DeltaT0");
    corrT0->cd();
 
    if (b.size() > 2) {
      TGraphErrors* grb = new TGraphErrors(b.size(), &b.at(0), &Sb.at(0), &db.at(0), &dSb.at(0));
      grb->SetMarkerColor(2);
      grb->SetMarkerSize(1.0);
      grb->SetTitle("#DeltaT0;BoardID;#DeltaT0[ns]");
      grb->SetMaximum(10);
      grb->SetMinimum(-10);
      grb->SetName("Board");
      grb->Write();
    }
    for (int sl = 0; sl < 56; ++sl) {
      if (c[sl].size() < 2) continue;
      gr[sl] = new TGraphErrors(c[sl].size(), &c[sl].at(0), &s[sl].at(0), &dc[sl].at(0), &ds[sl].at(0));
      gr[sl]->SetMarkerColor(2);
      gr[sl]->SetMarkerSize(1.0);
      gr[sl]->SetTitle(Form("Layer_%d;IWire;#LT t_{mea}-t_{fit} #GT [ns]", sl));
      gr[sl]->SetMaximum(10);
      gr[sl]->SetMinimum(-10);
      gr[sl]->SetName(Form("lay%d", sl));
      gr[sl]->Write();
    }
    fout->Close();
  }
  B2INFO("Writing constants...");
  int Ngood_T0 = write();
  B2INFO("Checking conversion conditons...");
  double rms_dT = hm_All->GetRMS();
  double n_below = hm_All->Integral(0, hm_All->GetXaxis()->FindBin(m_offsetMeanDt - 5 * rms_dT));
  double n_upper = hm_All->Integral(hm_All->GetXaxis()->FindBin(m_offsetMeanDt + 5 * rms_dT), hm_All->GetXaxis()->GetNbins() - 1);
  int N_remaining = n_below + n_upper - (14112 - Ngood_T0);
  if (N_remaining < 0) N_remaining = 0;
  B2INFO("+ Number of channel which are properly calibrated  : " << Ngood_T0);
  B2INFO("+ Number of channel which still need to be calibrated are: " << N_remaining << "(requirement <" << m_maxBadChannel << ")");
  B2INFO("+ Median of Delta_T - offset:" << hm_All->GetMean() - m_offsetMeanDt << "(requirement: <" << m_maxMeanDt << ")");
  B2INFO("+ RMS of Delta_T dist. :" << rms_dT << "  (Requirement: <" << m_maxRMSDt << ")");
 
  if (fabs(hm_All->GetMean() - m_offsetMeanDt) < m_maxMeanDt
      && fabs(hm_All->GetRMS()) < m_maxRMSDt
      && N_remaining < m_maxBadChannel) {
    B2INFO("T0 Calibration Finished:");
    return c_OK;
  } else {
    B2INFO("Need more iteration ...");
    return c_Iterate;
  }
}

checkPyExpRun()

bool checkPyExpRun ( PyObject *  pyObj )

inherited

Checks that a PyObject can be successfully converted to an ExpRun type.

Checks if the PyObject can be converted to ExpRun.

Definition at line 28 of file CalibrationAlgorithm.cc.

{
  // Is it a sequence?
  if (PySequence_Check(pyObj)) {
    Py_ssize_t nObj = PySequence_Length(pyObj);
    // Does it have 2 objects in it?
    if (nObj != 2) {
      B2DEBUG(29, "ExpRun was a Python sequence which didn't have exactly 2 entries!");
      return false;
    }
    PyObject* item1, *item2;
    item1 = PySequence_GetItem(pyObj, 0);
    item2 = PySequence_GetItem(pyObj, 1);
    // Did the GetItem work?
    if ((item1 == NULL) || (item2 == NULL)) {
      B2DEBUG(29, "A PyObject pointer was NULL in the sequence");
      return false;
    }
    // Are they longs?
    if (PyLong_Check(item1) && PyLong_Check(item2)) {
      long value1, value2;
      value1 = PyLong_AsLong(item1);
      value2 = PyLong_AsLong(item2);
      if (((value1 == -1) || (value2 == -1)) && PyErr_Occurred()) {
        B2DEBUG(29, "An error occurred while converting the PyLong to long");
        return false;
      }
    } else {
      B2DEBUG(29, "One or more of the PyObjects in the ExpRun wasn't a long");
      return false;
    }
    // Make sure to kill off the reference GetItem gave us responsibility for
    Py_DECREF(item1);
    Py_DECREF(item2);
  } else {
    B2DEBUG(29, "ExpRun was not a Python sequence.");
    return false;
  }
  return true;
}

clearCalibrationData()

void clearCalibrationData ( )

inlineprotectedinherited

Clear calibration data.

Definition at line 324 of file CalibrationAlgorithm.h.

{m_data.clearCalibrationData();}

commit() [1/2]

bool commit ( )

inherited

Submit constants from last calibration into database.

Definition at line 302 of file CalibrationAlgorithm.cc.

{
  if (getPayloads().empty())
    return false;
  list<Database::DBImportQuery> payloads = getPayloads();
  B2INFO("Committing " << payloads.size()  << " payloads to database.");
  return Database::Instance().storeData(payloads);
}

commit() [2/2]

bool commit ( std::list< Database::DBImportQuery >  payloads )

inherited

Submit constants from a (potentially previous) set of payloads.

Definition at line 311 of file CalibrationAlgorithm.cc.

{
  if (payloads.empty())
    return false;
  return Database::Instance().storeData(payloads);
}

convertPyExpRun()

ExpRun convertPyExpRun ( PyObject *  pyObj )

inherited

Performs the conversion of PyObject to ExpRun.

Converts the PyObject to an ExpRun. We've preoviously checked the object so this assumes a lot about the PyObject.

Definition at line 70 of file CalibrationAlgorithm.cc.

{
  ExpRun expRun;
  PyObject* itemExp, *itemRun;
  itemExp = PySequence_GetItem(pyObj, 0);
  itemRun = PySequence_GetItem(pyObj, 1);
  expRun.first = PyLong_AsLong(itemExp);
  Py_DECREF(itemExp);
  expRun.second = PyLong_AsLong(itemRun);
  Py_DECREF(itemRun);
  return expRun;
}

createHisto()

void createHisto ( )

protected

create histo for each channel

Definition at line 38 of file T0CalibrationAlgorithm.cc.

{
 
  B2INFO("Creating histograms");
  Float_t x;
  Float_t t_mea;
  Float_t t_fit;
  Float_t ndf;
  Float_t Pval;
  UShort_t IWire;
  UChar_t lay;
 
  auto tree = getObjectPtr<TTree>("tree");
  tree->SetBranchAddress("lay", &lay);
  tree->SetBranchAddress("IWire", &IWire);
  tree->SetBranchAddress("x_u", &x);
  tree->SetBranchAddress("t", &t_mea);
  tree->SetBranchAddress("t_fit", &t_fit);
  tree->SetBranchAddress("ndf", &ndf);
  tree->SetBranchAddress("Pval", &Pval);
 
 
  /* Disable unused branch */
  std::vector<TString> list_vars = {"lay", "IWire", "x_u", "t", "t_fit", "Pval", "ndf"};
  tree->SetBranchStatus("*", 0);
 
  for (TString brname : list_vars) {
    tree->SetBranchStatus(brname, 1);
  }
 
 
  double halfCSize[56];
 
  CDCGeometryPar& cdcgeo = CDCGeometryPar::Instance();
 
  for (int i = 0; i < 56; ++i) {
    double R = cdcgeo.senseWireR(i);
    double nW = cdcgeo.nWiresInLayer(i);
    halfCSize[i] = M_PI * R / nW;
  }
 
  m_hTotal = new TH1F("hTotal", "hTotal", 30, -15, 15);
 
  //for each channel
  for (int il = 0; il < 56; il++) {
    const int nW = cdcgeo.nWiresInLayer(il);
    for (int ic = 0; ic < nW; ++ic) {
      m_h1[il][ic] = new TH1F(Form("hdT_L%d_W%d", il, ic), Form("L%d_cell%d", il, ic), 30, -15, 15);
    }
  }
 
  //for each board
  for (int ib = 0; ib < 300; ++ib) {
    m_hT0b[ib] = new TH1F(Form("hdT_b%d", ib), Form("boardID_%d", ib), 100, -20, 20);
  }
 
  //read data
  const Long64_t nEntries = tree->GetEntries();
  B2INFO("Number of entries: " << nEntries);
  TStopwatch timer;
  timer.Start();
  for (Long64_t i = 0; i < nEntries; ++i) {
    tree->GetEntry(i);
    double xmax = halfCSize[lay] - 0.1;
    if ((fabs(x) < m_xmin) || (fabs(x) > xmax)
        || (ndf < m_ndfmin)
        || (Pval < m_Pvalmin)) continue; /*select good region*/
    //each channel
    m_hTotal->Fill(t_mea - t_fit);
    m_h1[lay][IWire]->Fill(t_mea - t_fit);
    //each board
    int boardID = cdcgeo.getBoardID(WireID(lay, IWire));
    m_hT0b[boardID]->Fill(t_mea - t_fit);
  }
  timer.Stop();
  B2INFO("Finish making histogram for all channels");
  B2INFO("Time to fill histograms: " << timer.RealTime() << "s");
 
}

dumpOutputJson()

const std::string dumpOutputJson ( ) const

inlineinherited

Dump the JSON string of the output JSON object.

Definition at line 223 of file CalibrationAlgorithm.h.

{return m_jsonExecutionOutput.dump();}

enableTextOutput()

void enableTextOutput ( bool  output = true )

inline

Enable text output of calibration result.

Definition at line 48 of file T0CalibrationAlgorithm.h.

{m_textOutput = output;}

execute() [1/2]

CalibrationAlgorithm::EResult execute ( PyObject *  runs, int  iteration = 0, IntervalOfValidity  iov = IntervalOfValidity()  )

inherited

Runs calibration over Python list of runs. Converts to C++ and then calls the other execute() function.

Definition at line 83 of file CalibrationAlgorithm.cc.

{
  B2DEBUG(29, "Running execute() using Python Object as input argument");
  // Reset the execution specific data in case the algorithm was previously called
  m_data.reset();
  m_data.setIteration(iteration);
  vector<ExpRun> vecRuns;
  // Is it a list?
  if (PySequence_Check(runs)) {
    boost::python::handle<> handle(boost::python::borrowed(runs));
    boost::python::list listRuns(handle);
 
    int nList = boost::python::len(listRuns);
    for (int iList = 0; iList < nList; ++iList) {
      boost::python::object pyExpRun(listRuns[iList]);
      if (!checkPyExpRun(pyExpRun.ptr())) {
        B2ERROR("Received Python ExpRuns couldn't be converted to C++");
        m_data.setResult(c_Failure);
        return c_Failure;
      } else {
        vecRuns.push_back(convertPyExpRun(pyExpRun.ptr()));
      }
    }
  } else {
    B2ERROR("Tried to set the input runs but we didn't receive a Python sequence object (list,tuple).");
    m_data.setResult(c_Failure);
    return c_Failure;
  }
  return execute(vecRuns, iteration, iov);
}

execute() [2/2]

CalibrationAlgorithm::EResult execute ( std::vector< Calibration::ExpRun >  runs = {}, int  iteration = 0, IntervalOfValidity  iov = IntervalOfValidity()  )

inherited

Runs calibration over vector of runs for a given iteration.

You can also specify the IoV to save the database payload as. By default the Algorithm will create an IoV from your requested ExpRuns, or from the overall ExpRuns of the input data if you haven't specified ExpRuns in this function.

No checks are performed to make sure that a IoV you specify matches the data you ran over, it simply labels the IoV to commit to the database later.

Definition at line 114 of file CalibrationAlgorithm.cc.

{
  // Check if we are calling this function directly and need to reset, or through Python where it was already done.
  if (m_data.getResult() != c_Undefined) {
    m_data.reset();
    m_data.setIteration(iteration);
  }
 
  if (m_inputFileNames.empty()) {
    B2ERROR("There aren't any input files set. Please use CalibrationAlgorithm::setInputFiles()");
    m_data.setResult(c_Failure);
    return c_Failure;
  }
 
  // Did we receive runs to execute over explicitly?
  if (!(runs.empty())) {
    for (auto expRun : runs) {
      B2DEBUG(29, "ExpRun requested = (" << expRun.first << ", " << expRun.second << ")");
    }
    // We've asked explicitly for certain runs, but we should check if the data granularity is 'run'
    if (strcmp(getGranularity().c_str(), "all") == 0) {
      B2ERROR(("The data is collected with granularity=all (exp=-1,run=-1), but you seem to request calibration for specific runs."
               " We'll continue but using ALL the input data given instead of the specific runs requested."));
    }
  } else {
    // If no runs are provided, infer the runs from all collected data
    runs = getRunListFromAllData();
    // Let's check that we have some now
    if (runs.empty()) {
      B2ERROR("No collected data in input files.");
      m_data.setResult(c_Failure);
      return c_Failure;
    }
    for (auto expRun : runs) {
      B2DEBUG(29, "ExpRun requested = (" << expRun.first << ", " << expRun.second << ")");
    }
  }
 
  m_data.setRequestedRuns(runs);
  if (iov.empty()) {
    // If no user specified IoV we use the IoV from the executed run list
    iov = IntervalOfValidity(runs[0].first, runs[0].second, runs[runs.size() - 1].first, runs[runs.size() - 1].second);
  }
  m_data.setRequestedIov(iov);
  // After here, the getObject<...>(...) helpers start to work
 
  CalibrationAlgorithm::EResult result = calibrate();
  m_data.setResult(result);
  return result;
}

fillRunToInputFilesMap()

void fillRunToInputFilesMap ( )

inherited

Fill the mapping of ExpRun -> Files.

Definition at line 330 of file CalibrationAlgorithm.cc.

{
  m_runsToInputFiles.clear();
  // Save TDirectory to change back at the end
  TDirectory* dir = gDirectory;
  RunRange* runRange;
  // Construct the TDirectory name where we expect our objects to be
  string runRangeObjName(getPrefix() + "/" + RUN_RANGE_OBJ_NAME);
  for (const auto& fileName : m_inputFileNames) {
    //Open TFile to get the objects
    unique_ptr<TFile> f;
    f.reset(TFile::Open(fileName.c_str(), "READ"));
    runRange = dynamic_cast<RunRange*>(f->Get(runRangeObjName.c_str()));
    if (runRange) {
      // Insert or extend the run -> file mapping for this ExpRun
      auto expRuns = runRange->getExpRunSet();
      for (const auto& expRun : expRuns) {
        auto runFiles = m_runsToInputFiles.find(expRun);
        if (runFiles != m_runsToInputFiles.end()) {
          (runFiles->second).push_back(fileName);
        } else {
          m_runsToInputFiles.insert(std::make_pair(expRun, std::vector<std::string> {fileName}));
        }
      }
    } else {
      B2WARNING("Missing a RunRange object for file: " << fileName);
    }
  }
  dir->cd();
}

findPayloadBoundaries()

const std::vector< ExpRun > findPayloadBoundaries ( std::vector< Calibration::ExpRun >  runs, int  iteration = 0  )

inherited

Used to discover the ExpRun boundaries that you want the Python CAF to execute on. This is optional and only used in some.

Definition at line 520 of file CalibrationAlgorithm.cc.

{
  m_boundaries.clear();
  if (m_inputFileNames.empty()) {
    B2ERROR("There aren't any input files set. Please use CalibrationAlgorithm::setInputFiles()");
    return m_boundaries;
  }
  // Reset the internal execution data just in case something is hanging around
  m_data.reset();
  if (runs.empty()) {
    // Want to loop over all runs we could possibly know about
    runs = getRunListFromAllData();
  }
  // Let's check that we have some now
  if (runs.empty()) {
    B2ERROR("No collected data in input files.");
    return m_boundaries;
  }
  // In order to find run boundaries we must have collected with data granularity == 'run'
  if (strcmp(getGranularity().c_str(), "all") == 0) {
    B2ERROR("The data is collected with granularity='all' (exp=-1,run=-1), and we can't use that to find run boundaries.");
    return m_boundaries;
  }
  m_data.setIteration(iteration);
  // User defined setup function
  boundaryFindingSetup(runs, iteration);
  std::vector<ExpRun> runList;
  // Loop over run list and call derived class "isBoundaryRequired" member function
  for (auto currentRun : runs) {
    runList.push_back(currentRun);
    m_data.setRequestedRuns(runList);
    // After here, the getObject<...>(...) helpers start to work
    if (isBoundaryRequired(currentRun)) {
      m_boundaries.push_back(currentRun);
    }
    // Only want run-by-run
    runList.clear();
    // Don't want memory hanging around
    m_data.clearCalibrationData();
  }
  m_data.reset();
  boundaryFindingTearDown();
  return m_boundaries;
}

getAllGranularityExpRun()

Calibration::ExpRun getAllGranularityExpRun ( ) const

inlineprotectedinherited

Returns the Exp,Run pair that means 'Everything'. Currently unused.

Definition at line 327 of file CalibrationAlgorithm.h.

{return m_allExpRun;}

getCollectorName()

std::string getCollectorName ( ) const

inlineinherited

Alias for prefix.

For convenience and less writing, we say developers to set this to default collector module name in constructor of base class. One can however use the dublets of collector+algorithm multiple times with different settings. To bind these together correctly, the prefix has to be set the same for algo and collector. So we call the setter setPrefix rather than setModuleName or whatever. This getter will work out of the box for default cases -> return the name of module you have to add to your path to collect data for this algorihtm.

Definition at line 164 of file CalibrationAlgorithm.h.

{return getPrefix();}

getDescription()

const std::string & getDescription ( ) const

inlineinherited

Get the description of the algoithm (set by developers in constructor)

Definition at line 216 of file CalibrationAlgorithm.h.

{return m_description;}

getExpRunString()

string getExpRunString ( Calibration::ExpRun &  expRun ) const

privateinherited

Gets the "exp.run" string repr. of (exp,run)

Definition at line 254 of file CalibrationAlgorithm.cc.

{
  string expRunString;
  expRunString += to_string(expRun.first);
  expRunString += ".";
  expRunString += to_string(expRun.second);
  return expRunString;
}

getFullObjectPath()

string getFullObjectPath ( const std::string &  name, Calibration::ExpRun  expRun  ) const

privateinherited

constructs the full TDirectory + Key name of an object in a TFile based on its name and exprun

Definition at line 263 of file CalibrationAlgorithm.cc.

{
  string dirName = getPrefix() + "/" + name;
  string objName = name + "_" + getExpRunString(expRun);
  return dirName + "/" + objName;
}

getGranularity()

std::string getGranularity ( ) const

inlineinherited

Get the granularity of collected data.

Definition at line 188 of file CalibrationAlgorithm.h.

{return m_granularityOfData;};

getGranularityFromData()

string getGranularityFromData ( ) const

protectedinherited

Get the granularity of collected data.

Definition at line 383 of file CalibrationAlgorithm.cc.

{
  // Save TDirectory to change back at the end
  TDirectory* dir = gDirectory;
  RunRange* runRange;
  string runRangeObjName(getPrefix() + "/" + RUN_RANGE_OBJ_NAME);
  // We only check the first file
  string fileName = m_inputFileNames[0];
  unique_ptr<TFile> f;
  f.reset(TFile::Open(fileName.c_str(), "READ"));
  runRange = dynamic_cast<RunRange*>(f->Get(runRangeObjName.c_str()));
  if (!runRange) {
    B2FATAL("The input file " << fileName << " does not contain a RunRange object at "
            << runRangeObjName << ". Please set your input files to exclude it.");
    return "";
  }
  string granularity = runRange->getGranularity();
  dir->cd();
  return granularity;
}

getInputFileNames()

PyObject * getInputFileNames ( )

inherited

Get the input file names used for this algorithm and pass them out as a Python list of unicode strings.

Definition at line 245 of file CalibrationAlgorithm.cc.

{
  PyObject* objInputFileNames = PyList_New(m_inputFileNames.size());
  for (size_t i = 0; i < m_inputFileNames.size(); ++i) {
    PyList_SetItem(objInputFileNames, i, Py_BuildValue("s", m_inputFileNames[i].c_str()));
  }
  return objInputFileNames;
}

getInputJsonObject()

const nlohmann::json & getInputJsonObject ( ) const

inlineprotectedinherited

Get the entire top level JSON object. We explicitly say this must be of object type so that we might pick.

Definition at line 357 of file CalibrationAlgorithm.h.

{return m_jsonExecutionInput;}

getInputJsonValue()

const T getInputJsonValue ( const std::string &  key ) const

inlineprotectedinherited

Get an input JSON value using a key. The normal exceptions are raised when the key doesn't exist.

Definition at line 350 of file CalibrationAlgorithm.h.

    {
      return m_jsonExecutionInput.at(key);
    }

getIovFromAllData()

IntervalOfValidity getIovFromAllData ( ) const

inherited

Get the complete IoV from inspection of collected data.

Definition at line 325 of file CalibrationAlgorithm.cc.

{
  return getRunRangeFromAllData().getIntervalOfValidity();
}

getIteration()

int getIteration ( ) const

inlineprotectedinherited

Get current iteration.

Definition at line 269 of file CalibrationAlgorithm.h.

{ return m_data.getIteration(); }

getMeanT0()

double getMeanT0 ( TH1F *  h1 )

protected

calculate mean of the T0 distribution

Definition at line 382 of file T0CalibrationAlgorithm.cc.

{
  double mean1 = h1->GetMean();
  h1->GetXaxis()->SetRangeUser(mean1 - 50, 8000);
  double mean2 = h1->GetMean();
  while (fabs(mean1 - mean2) > 0.5) {
    mean1 = mean2;
    h1->GetXaxis()->SetRangeUser(mean1 - 50, 8000);
    mean2 = h1->GetMean();
  }
  return mean2;
 
}

getObjectPtr()

std::shared_ptr< T > getObjectPtr ( std::string  name )

inlineprotectedinherited

Get calibration data object (for all runs the calibration is requested for) This function will only work during or after execute() has been called once.

Definition at line 285 of file CalibrationAlgorithm.h.

    {
      if (m_runsToInputFiles.size() == 0)
        fillRunToInputFilesMap();
      return getObjectPtr<T>(name, m_data.getRequestedRuns());
    }

getOutputJsonValue()

const T getOutputJsonValue ( const std::string &  key ) const

inlineprotectedinherited

Get a value using a key from the JSON output object, not sure why you would want to do this.

Definition at line 342 of file CalibrationAlgorithm.h.

    {
      return m_jsonExecutionOutput.at(key);
    }

getPayloads()

std::list< Database::DBImportQuery > & getPayloads ( )

inlineinherited

Get constants (in TObjects) for database update from last execution.

Definition at line 204 of file CalibrationAlgorithm.h.

{return m_data.getPayloads();}

getPayloadValues()

std::list< Database::DBImportQuery > getPayloadValues ( )

inlineinherited

Get constants (in TObjects) for database update from last execution but passed by VALUE.

Definition at line 207 of file CalibrationAlgorithm.h.

{return m_data.getPayloadValues();}

getPrefix()

std::string getPrefix ( ) const

inlineinherited

Get the prefix used for getting calibration data.

Definition at line 146 of file CalibrationAlgorithm.h.

{return m_prefix;}

getRunList()

const std::vector< Calibration::ExpRun > & getRunList ( ) const

inlineprotectedinherited

Get the list of runs for which calibration is called.

Definition at line 266 of file CalibrationAlgorithm.h.

{return m_data.getRequestedRuns();}

getRunListFromAllData()

vector< ExpRun > getRunListFromAllData ( ) const

inherited

Get the complete list of runs from inspection of collected data.

Definition at line 318 of file CalibrationAlgorithm.cc.

{
  RunRange runRange = getRunRangeFromAllData();
  set<ExpRun> expRunSet = runRange.getExpRunSet();
  return vector<ExpRun>(expRunSet.begin(), expRunSet.end());
}

getRunRangeFromAllData()

RunRange getRunRangeFromAllData ( ) const

inherited

Get the complete RunRange from inspection of collected data.

Definition at line 361 of file CalibrationAlgorithm.cc.

{
  // Save TDirectory to change back at the end
  TDirectory* dir = gDirectory;
  RunRange runRange;
  // Construct the TDirectory name where we expect our objects to be
  string runRangeObjName(getPrefix() + "/" + RUN_RANGE_OBJ_NAME);
  for (const auto& fileName : m_inputFileNames) {
    //Open TFile to get the objects
    unique_ptr<TFile> f;
    f.reset(TFile::Open(fileName.c_str(), "READ"));
    RunRange* runRangeOther = dynamic_cast<RunRange*>(f->Get(runRangeObjName.c_str()));
    if (runRangeOther) {
      runRange.merge(runRangeOther);
    } else {
      B2WARNING("Missing a RunRange object for file: " << fileName);
    }
  }
  dir->cd();
  return runRange;
}

getVecInputFileNames()

std::vector< std::string > getVecInputFileNames ( ) const

inlineprotectedinherited

Get the input file names used for this algorithm as a STL vector.

Definition at line 275 of file CalibrationAlgorithm.h.

{return m_inputFileNames;}

inputJsonKeyExists()

bool inputJsonKeyExists ( const std::string &  key ) const

inlineprotectedinherited

Test for a key in the input JSON object.

Definition at line 360 of file CalibrationAlgorithm.h.

{return m_jsonExecutionInput.count(key);}

isBoundaryRequired()

virtual bool isBoundaryRequired ( const Calibration::ExpRun &  )

inlineprotectedvirtualinherited

Given the current collector data, make a decision about whether or not this run should be the start of a payload boundary.

Reimplemented in TestBoundarySettingAlgorithm, PXDAnalyticGainCalibrationAlgorithm, PXDValidationAlgorithm, TestCalibrationAlgorithm, SVD3SampleCoGTimeCalibrationAlgorithm, SVD3SampleELSTimeCalibrationAlgorithm, and SVDCoGTimeCalibrationAlgorithm.

Definition at line 243 of file CalibrationAlgorithm.h.

    {
      B2ERROR("You didn't implement a isBoundaryRequired() member function in your CalibrationAlgorithm but you are calling it!");
      return false;
    }

loadInputJson()

bool loadInputJson ( const std::string &  jsonString )

inherited

Load the m_inputJson variable from a string (useful from Python interface). The rturn bool indicates success or failure.

Definition at line 502 of file CalibrationAlgorithm.cc.

{
  try {
    auto jsonInput = nlohmann::json::parse(jsonString);
    // Input string has an object (dict) as the top level object?
    if (jsonInput.is_object()) {
      m_jsonExecutionInput = jsonInput;
      return true;
    } else {
      B2ERROR("JSON input string isn't an object type i.e. not a '{}' at the top level.");
      return false;
    }
  } catch (nlohmann::json::parse_error&) {
    B2ERROR("Parsing of JSON input string failed");
    return false;
  }
}

resetInputJson()

void resetInputJson ( )

inlineprotectedinherited

Clears the m_inputJson member variable.

Definition at line 330 of file CalibrationAlgorithm.h.

{m_jsonExecutionInput.clear();}

resetOutputJson()

void resetOutputJson ( )

inlineprotectedinherited

Clears the m_outputJson member variable.

Definition at line 333 of file CalibrationAlgorithm.h.

{m_jsonExecutionOutput.clear();}

saveCalibration() [1/6]

void saveCalibration ( TClonesArray *  data, const std::string &  name  )

protectedinherited

Store DBArray payload with given name with default IOV.

Definition at line 297 of file CalibrationAlgorithm.cc.

{
  saveCalibration(data, name, m_data.getRequestedIov());
}

saveCalibration() [2/6]

void saveCalibration ( TClonesArray *  data, const std::string &  name, const IntervalOfValidity &  iov  )

protectedinherited

Store DBArray with given name and custom IOV.

Definition at line 276 of file CalibrationAlgorithm.cc.

{
  B2DEBUG(29, "Saving calibration TClonesArray '" <<  name << "' to payloads list.");
  getPayloads().emplace_back(name, data, iov);
}

saveCalibration() [3/6]

void saveCalibration ( TObject *  data )

protectedinherited

Store DB payload with default name and default IOV.

Definition at line 287 of file CalibrationAlgorithm.cc.

{
  saveCalibration(data, DataStore::objectName(data->IsA(), ""));
}

saveCalibration() [4/6]

void saveCalibration ( TObject *  data, const IntervalOfValidity &  iov  )

protectedinherited

Store DB payload with default name and custom IOV.

Definition at line 282 of file CalibrationAlgorithm.cc.

{
  saveCalibration(data, DataStore::objectName(data->IsA(), ""), iov);
}

saveCalibration() [5/6]

void saveCalibration ( TObject *  data, const std::string &  name  )

protectedinherited

Store DB payload with given name with default IOV.

Definition at line 292 of file CalibrationAlgorithm.cc.

{
  saveCalibration(data, name, m_data.getRequestedIov());
}

saveCalibration() [6/6]

void saveCalibration ( TObject *  data, const std::string &  name, const IntervalOfValidity &  iov  )

protectedinherited

Store DB payload with given name and custom IOV.

Definition at line 270 of file CalibrationAlgorithm.cc.

{
  B2DEBUG(29, "Saving calibration TObject = '" <<  name << "' to payloads list.");
  getPayloads().emplace_back(name, data, iov);
}

setCommonT0()

void setCommonT0 ( double  commonT0 )

inline

set common T0

Definition at line 45 of file T0CalibrationAlgorithm.h.

{m_commonT0 = commonT0;}

setDescription()

void setDescription ( const std::string &  description )

inlineprotectedinherited

Set algorithm description (in constructor)

Definition at line 321 of file CalibrationAlgorithm.h.

{m_description = description;}

setHistFileName()

void setHistFileName ( const std::string &  name )

inline

Set name for histogram output.

Definition at line 54 of file T0CalibrationAlgorithm.h.

{m_histName = "histT0_" + name + ".root";}

setInputFileNames() [1/2]

void setInputFileNames ( PyObject *  inputFileNames )

inherited

Set the input file names used for this algorithm from a Python list.

Set the input file names used for this algorithm and resolve the wildcards.

Definition at line 166 of file CalibrationAlgorithm.cc.

{
  // The reasoning for this very 'manual' approach to extending the Python interface
  // (instead of using boost::python) is down to my fear of putting off final users with
  // complexity on their side.
  //
  // I didn't want users that inherit from this class to be forced to use boost and
  // to have to define a new python module just to use the CAF. A derived class from
  // from a boost exposed class would need to have its own boost python module definition
  // to allow access from a steering file and to the base class functions (I think).
  // I also couldn't be bothered to write a full framework to get around the issue in a similar
  // way to Module()...maybe there's an easy way.
  //
  // But this way we can allow people to continue using their ROOT implemented classes and inherit
  // easily from this one. But add in a few helper functions that work with Python objects
  // created in their steering file i.e. instead of being forced to use STL objects as input
  // to the algorithm.
  if (PyList_Check(inputFileNames)) {
    boost::python::handle<> handle(boost::python::borrowed(inputFileNames));
    boost::python::list listInputFileNames(handle);
    auto vecInputFileNames = PyObjConvUtils::convertPythonObject(listInputFileNames, vector<string>());
    setInputFileNames(vecInputFileNames);
  } else {
    B2ERROR("Tried to set the input files but we didn't receive a Python list.");
  }
}

setInputFileNames() [2/2]

void setInputFileNames ( std::vector< std::string >  inputFileNames )

protectedinherited

Set the input file names used for this algorithm.

Set the input file names used for this algorithm and resolve the wildcards.

Definition at line 194 of file CalibrationAlgorithm.cc.

{
  // A lot of code below is tweaked from RootInputModule::initialize,
  // since we're basically copying the functionality anyway.
  if (inputFileNames.empty()) {
    B2WARNING("You have called setInputFileNames() with an empty list. Did you mean to do that?");
    return;
  }
  auto tmpInputFileNames = RootIOUtilities::expandWordExpansions(inputFileNames);
 
  // We'll use a set to enforce sorted unique file paths as we check them
  set<string> setInputFileNames;
  // Check that files exist and convert to absolute paths
  for (auto path : tmpInputFileNames) {
    string fullPath = fs::absolute(path).string();
    if (fs::exists(fullPath)) {
      setInputFileNames.insert(fs::canonical(fullPath).string());
    } else {
      B2WARNING("Couldn't find the file " << path);
    }
  }
 
  if (setInputFileNames.empty()) {
    B2WARNING("No valid files specified!");
    return;
  } else {
    // Reset the run -> files map as our files are likely different
    m_runsToInputFiles.clear();
  }
 
  // Open TFile to check they can be accessed by ROOT
  TDirectory* dir = gDirectory;
  for (const string& fileName : setInputFileNames) {
    unique_ptr<TFile> f;
    try {
      f.reset(TFile::Open(fileName.c_str(), "READ"));
    } catch (logic_error&) {
      //this might happen for ~invaliduser/foo.root
      //actually undefined behaviour per standard, reported as ROOT-8490 in JIRA
    }
    if (!f || !f->IsOpen()) {
      B2FATAL("Couldn't open input file " + fileName);
    }
  }
  dir->cd();
 
  // Copy the entries of the set to a vector
  m_inputFileNames = vector<string>(setInputFileNames.begin(), setInputFileNames.end());
  m_granularityOfData = getGranularityFromData();
}

setMaxBadChannel()

void setMaxBadChannel ( double  max_bad_channel )

inline

Maximum channel in which T0 is still need to be calibrated.

Definition at line 42 of file T0CalibrationAlgorithm.h.

{m_maxBadChannel = max_bad_channel;}

setMaxMeanDt()

void setMaxMeanDt ( double  maxMeanDt )

inline

Maximum mean of dt of all channels distribution, condition to stop iterating.

Definition at line 38 of file T0CalibrationAlgorithm.h.

{m_maxMeanDt = maxMeanDt;}

setMaxRMSDt()

void setMaxRMSDt ( double  maxRMSDt )

inline

Maximum RMS of dt of all channels distribution, condition to stop iterating.

Definition at line 36 of file T0CalibrationAlgorithm.h.

{m_maxRMSDt = maxRMSDt;}

setMinimumNDF()

void setMinimumNDF ( double  minndf )

inline

minimum ndf require for track.

Definition at line 32 of file T0CalibrationAlgorithm.h.

{m_ndfmin = minndf;}

setMinimumPval()

void setMinimumPval ( double  minPval )

inline

minimum pvalue requirement.

Definition at line 34 of file T0CalibrationAlgorithm.h.

{m_Pvalmin = minPval;}

setOffsetMeanDt()

void setOffsetMeanDt ( double  offsetMeanDt )

inline

Maximum mean of dt of all channels distribution, condition to stop iterating.

Definition at line 40 of file T0CalibrationAlgorithm.h.

{m_offsetMeanDt = offsetMeanDt;}

setOutputFileName()

void setOutputFileName ( std::string  outputname )

inline

output xt T0 file name (for text mode)

Definition at line 51 of file T0CalibrationAlgorithm.h.

{m_outputT0FileName.assign(outputname);}

setOutputJsonValue()

void setOutputJsonValue ( const std::string &  key, const T &  value  )

inlineprotectedinherited

Set a key:value pair for the outputJson object, expected to used interally during calibrate()

Definition at line 337 of file CalibrationAlgorithm.h.

{m_jsonExecutionOutput[key] = value;}

setPrefix()

void setPrefix ( const std::string &  prefix )

inlineinherited

Set the prefix used to identify datastore objects.

Definition at line 167 of file CalibrationAlgorithm.h.

{m_prefix = prefix;}

storeHisto()

void storeHisto ( bool  storeHist = false )

inline

store Hisotgram or not.

Definition at line 30 of file T0CalibrationAlgorithm.h.

{m_storeHisto = storeHist;}

updateDBObjPtrs()

void updateDBObjPtrs ( const unsigned int  event = 1, const int  run = 0, const int  experiment = 0  )

protectedinherited

Updates any DBObjPtrs by calling update(event) for DBStore.

Definition at line 404 of file CalibrationAlgorithm.cc.

{
  // Construct an EventMetaData object but NOT in the Datastore
  EventMetaData emd(event, run, experiment);
  // Explicitly update while avoiding registering a Datastore object
  DBStore::Instance().update(emd);
  // Also update the intra-run objects to the event at the same time (maybe unnessary...)
  DBStore::Instance().updateEvent(event);
}

write()

int write ( )

protected

write outut or store db

Definition at line 301 of file T0CalibrationAlgorithm.cc.

{
  CDCGeometryPar& cdcgeo = CDCGeometryPar::Instance();
  CDCTimeZeros* tz = new CDCTimeZeros();
 
  TH1F* hT0B[300];
  for (int ib = 0; ib < 300; ++ib) {
    hT0B[ib] = new TH1F(Form("hT0B%d", ib), Form("boardID_%d", ib), 9000, 0, 9000);
  }
 
  TH1F* hT0_all = new TH1F("hT0_all", "T0 distribution", 9000, 0, 9000);
  double T0;
  // get old T0 to calculate T0 mean of each board
  for (int ilay = 0; ilay < 56; ++ilay) {
    const unsigned int nW = cdcgeo.nWiresInLayer(ilay);
    for (unsigned int iwire = 0; iwire < nW; ++iwire) {
      WireID wireid(ilay, iwire);
      T0 = cdcgeo.getT0(wireid);
      hT0_all->Fill(T0);
      hT0B[cdcgeo.getBoardID(wireid)]->Fill(T0);
    }
  }
 
  //get Nominal T0
  double  T0_average = getMeanT0(hT0_all);
  if (fabs(T0_average - m_commonT0) > 50) {B2WARNING("Large difference between common T0 (" << m_commonT0 << ") and aveage value" << T0_average);}
  //  get average T0 for each board and also apply T0 correction for T0 of that board
  double T0B[300];
  for (int i = 0; i < 300; ++i) {T0B[i] = m_commonT0;}
 
 
  for (int ib = 1; ib < 300; ++ib) {
    T0B[ib] = getMeanT0(hT0B[ib]);
    if (fabs(T0B[ib] - T0_average) > 25) {
      B2WARNING("T0 of Board " << ib << " (= " << T0B[ib] << ") is too different with common T0: " << T0_average <<
                "\n It will be replaced by common T0");
      T0B[ib] = T0_average;
      continue;
    }
    //correct T0 board
    if (abs(err_dtb[ib]) < 2 && abs(dtb[ib]) < 20) {
      T0B[ib] -= dtb[ib];
    }
  }
 
  //correct T0 and write
  double dT;
  int N_good = 0;
  for (int ilay = 0; ilay < 56; ++ilay) {
    const unsigned int nW = cdcgeo.nWiresInLayer(ilay);
    for (unsigned int iwire = 0; iwire < nW; ++iwire) {
      WireID wireid(ilay, iwire);
      int bID = cdcgeo.getBoardID(wireid);
 
      //get old T0, replace with common T0 of board or average over all channel.
      T0 = cdcgeo.getT0(wireid);
      if (fabs(T0 - T0B[bID]) > 25 || fabs(T0 - T0_average) > 25) {
        B2WARNING("T0 of wireID L-W: " << ilay << "--" << iwire << " (= " << T0
                  << ") is too different with common T0 of board: " << bID << " = " << T0B[bID] <<
                  "\n It will be replaced by common T0 of the Board");
        T0 = T0B[bID];
      }
 
      //select DeltaT
      dT = 0;
      if (abs(err_dt[ilay][iwire]) < 2 && abs(dt[ilay][iwire]) < 20) {
        dT = dt[ilay][iwire];
        N_good += 1;
      }
 
      //export
      tz->setT0(wireid, T0 - dT);
    }
  }
 
  if (m_textOutput == true) {
    tz->outputToFile(m_outputT0FileName);
  }
  saveCalibration(tz, "CDCTimeZeros");
  return N_good;
}

Member Data Documentation

dt

double dt[56][385] = {{0.}}

private

dt of each channel

Definition at line 77 of file T0CalibrationAlgorithm.h.

dtb

double dtb[300] = {0.}

private

dt of each board

Definition at line 79 of file T0CalibrationAlgorithm.h.

err_dt

double err_dt[56][385] = {{0.}}

private

error of dt of each channel

Definition at line 78 of file T0CalibrationAlgorithm.h.

err_dtb

double err_dtb[300] = {0.}

private

error of dt of board

Definition at line 80 of file T0CalibrationAlgorithm.h.

m_allExpRun

const ExpRun m_allExpRun = make_pair(-1, -1)

staticprivateinherited

allExpRun

Definition at line 364 of file CalibrationAlgorithm.h.

m_boundaries

std::vector<Calibration::ExpRun> m_boundaries

protectedinherited

When using the boundaries functionality from isBoundaryRequired, this is used to store the boundaries. It is cleared when.

Definition at line 261 of file CalibrationAlgorithm.h.

m_cdcGeo

DBObjPtr<CDCGeometry> m_cdcGeo

private

Geometry of CDC.

Definition at line 87 of file T0CalibrationAlgorithm.h.

m_commonT0

double m_commonT0 = 4825.

private

A common T0 of all channels.

Definition at line 81 of file T0CalibrationAlgorithm.h.

m_data

ExecutionData m_data

privateinherited

Data specific to a SINGLE execution of the algorithm. Gets reset at the beginning of execution.

Definition at line 382 of file CalibrationAlgorithm.h.

m_description

std::string m_description {""}

privateinherited

Description of the algorithm.

Definition at line 385 of file CalibrationAlgorithm.h.

m_granularityOfData

std::string m_granularityOfData

privateinherited

Granularity of input data. This only changes when the input files change so it isn't specific to an execution.

Definition at line 379 of file CalibrationAlgorithm.h.

m_h1

TH1F* m_h1[56][385]

private

1D histogram for each channel

Definition at line 67 of file T0CalibrationAlgorithm.h.

m_histName

std::string m_histName = "histT0.root"

private

root file name

Definition at line 86 of file T0CalibrationAlgorithm.h.

m_hT0b

TH1F* m_hT0b[300]

private

1D histogram for each board

Definition at line 68 of file T0CalibrationAlgorithm.h.

m_hTotal

TH1F* m_hTotal

private

1D histogram of delta T whole channel

Definition at line 66 of file T0CalibrationAlgorithm.h.

m_inputFileNames

std::vector<std::string> m_inputFileNames

privateinherited

List of input files to the Algorithm, will initially be user defined but then gets the wildcards expanded during execute()

Definition at line 373 of file CalibrationAlgorithm.h.

m_jsonExecutionInput

nlohmann::json m_jsonExecutionInput = nlohmann::json::object()

privateinherited

Optional input JSON object used to make decisions about how to execute the algorithm code.

Definition at line 397 of file CalibrationAlgorithm.h.

m_jsonExecutionOutput

nlohmann::json m_jsonExecutionOutput = nlohmann::json::object()

privateinherited

Optional output JSON object that can be set during the execution by the underlying algorithm code.

Definition at line 403 of file CalibrationAlgorithm.h.

m_maxBadChannel

double m_maxBadChannel = 50

private

Number of channels which has DeltaT0 larger then 0.5.

Definition at line 76 of file T0CalibrationAlgorithm.h.

m_maxMeanDt

double m_maxMeanDt = 0.2

private

Mean of dT distribution of all channels;.

Definition at line 73 of file T0CalibrationAlgorithm.h.

m_maxRMSDt

double m_maxRMSDt = 0.22

private

RMS of dT distribution of all channels.

Definition at line 75 of file T0CalibrationAlgorithm.h.

m_ndfmin

double m_ndfmin = 5

private

minimum ndf required

Definition at line 70 of file T0CalibrationAlgorithm.h.

m_offsetMeanDt

double m_offsetMeanDt = -0.4

private

offset dT distribution caused by event timing extraction;

Definition at line 74 of file T0CalibrationAlgorithm.h.

m_outputT0FileName

std::string m_outputT0FileName = "t0_new.dat"

private

output t0 file name for text file

Definition at line 85 of file T0CalibrationAlgorithm.h.

m_prefix

std::string m_prefix {""}

privateinherited

The name of the TDirectory the collector objects are contained within.

Definition at line 388 of file CalibrationAlgorithm.h.

m_Pvalmin

double m_Pvalmin = 0.

private

minimum pvalue required

Definition at line 71 of file T0CalibrationAlgorithm.h.

m_runsToInputFiles

std::map<Calibration::ExpRun, std::vector<std::string> > m_runsToInputFiles

privateinherited

Map of Runs to input files. Gets filled when you call getRunRangeFromAllData, gets cleared when setting input files again.

Definition at line 376 of file CalibrationAlgorithm.h.

m_storeHisto

bool m_storeHisto = false

private

store histo or not

Definition at line 83 of file T0CalibrationAlgorithm.h.

m_textOutput

bool m_textOutput = false

private

output text file if true

Definition at line 84 of file T0CalibrationAlgorithm.h.

m_xmin

double m_xmin = 0.07

private

minimum drift length

Definition at line 69 of file T0CalibrationAlgorithm.h.

---

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

• cdc/calibration/include/T0CalibrationAlgorithm.h
• cdc/calibration/src/T0CalibrationAlgorithm.cc