TOPCommonT0BFAlgorithm Class Reference

Algorithm for common T0 calibration with a fit of bunch finder residuals. More...

#include <TOPCommonT0BFAlgorithm.h>

Inheritance diagram for TOPCommonT0BFAlgorithm:

Collaboration diagram for TOPCommonT0BFAlgorithm:

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

Public Member Functions
	TOPCommonT0BFAlgorithm ()
	Constructor.
virtual	~TOPCommonT0BFAlgorithm ()
	Destructor.
void	setMinEntries (int minEntries)
	Sets minimal number of histogram entries to perform a fit.
void	setFitInitializers (double sigmaCore, double sigmaTail, double tailFract)
	Sets values for the initialization of several fit parameters. More...
void	setCutoffEntries (int cutoffEntries)
	Sets cutoff on the number of histogram entries for steering btw. More...
void	setMinError (double minError)
	Sets minimal fitted offset uncertainty to declare this calibration as c_OK. More...
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. More...
Calibration::ExpRun	convertPyExpRun (PyObject *pyObj)
	Performs the conversion of PyObject to ExpRun. More...
std::string	getCollectorName () const
	Alias for prefix. More...
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. More...
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. More...
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
void	setInputFileNames (std::vector< std::string > inputFileNames)
	Set the input file names used for this algorithm. More...
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
virtual EResult	calibrate () final
	algorithm implementation
std::shared_ptr< TH1F >	getHistogram ()
	Returns histogram to be fitted.
int	fitSingleGaus (std::shared_ptr< TH1F > h)
	Fit single gaus + constant. More...
int	fitDoubleGaus (std::shared_ptr< TH1F > h)
	Fit double gaus w/ same mean + constant. More...
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
int	m_minEntries = 10
	minimal number of histogram entries to perform fit
double	m_sigmaCoreInit = 0.060
	core gaussian sigma [ns]
double	m_sigmaTailInit = 0.120
	tail gaussian sigma [ns]
double	m_tailFractInit = 0.20
	fraction of tail gaussian
int	m_cutoffEntries = 100
	cutoff entries for single/double gaussian fit
double	m_minError = 0.020
	minimal commonT0 uncertainty [ns] to declare c_OK
int	m_expNo = 0
	experiment number
int	m_runNo = 0
	first run number
int	m_runLast = 0
	last run number
float	m_fittedOffset = 0
	fitted offset
float	m_offset = 0
	wrap-around of fitted offset (= common T0)
float	m_offsetError = 0
	error on fitted offset
float	m_sigmaCore = 0
	core gaussian sigma
float	m_sigmaTail = 0
	tail gaussian sigma (set to 0 for single gauss fit)
float	m_tailFract = 0
	tail fraction (set to 0 for single gauss fit)
float	m_chi2 = 0
	normalized chi^2
float	m_integral = 0
	number of fitted signal events
int	m_numEvents = 0
	number of all events in the histogram
int	m_fitStatus = -1
	fit status
double	m_bunchTimeSep = 0
	bunch separation in time [ns]
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

Algorithm for common T0 calibration with a fit of bunch finder residuals.

method BF

Definition at line 24 of file TOPCommonT0BFAlgorithm.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.

Member Function Documentation

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.

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.

execute()

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.

fitDoubleGaus()

int fitDoubleGaus ( std::shared_ptr< TH1F >  h )

private

Fit double gaus w/ same mean + constant.

Parameters

h

histogram

Returns

fit status

Definition at line 167 of file TOPCommonT0BFAlgorithm.cc.

    {
      double sum = h->GetSumOfWeights();
      if (sum < 7) return 7;
      double maxPosition = h->GetBinCenter(h->GetMaximumBin());
      double binWidth = h->GetBinWidth(1);
      double xmin = h->GetXaxis()->GetXmin();
      double xmax = h->GetXaxis()->GetXmax();
 
      auto* func = new TF1("func2g",
                           "[0] + [1]*((1-[4])/sqrt(2*pi)/[3]*exp(-0.5*((x-[2])/[3])**2)"
                           "+ [4]/sqrt(2*pi)/[5]*exp(-0.5*((x-[2])/[5])**2))",
                           xmin, xmax);
      func->SetParameter(0, 0);
      func->SetParameter(1, sum * binWidth);
      func->SetParameter(2, maxPosition);
      func->SetParameter(3, m_sigmaCoreInit);
      func->SetParameter(4, m_tailFractInit);
      func->SetParameter(5, m_sigmaTailInit);
 
      int status = h->Fit(func, "LRSQ");
 
      m_fittedOffset = func->GetParameter(2);
      m_offset = m_fittedOffset - round(m_fittedOffset / m_bunchTimeSep) * m_bunchTimeSep;
      m_offsetError = func->GetParError(2);
      m_sigmaCore = func->GetParameter(3);
      m_sigmaTail = func->GetParameter(5);
      m_tailFract = func->GetParameter(4);
      m_chi2 = func->GetChisquare() / func->GetNDF();
      m_integral = func->GetParameter(1) / binWidth;
      m_numEvents = sum;
      m_fitStatus = status;
 
      return status;
    }

fitSingleGaus()

int fitSingleGaus ( std::shared_ptr< TH1F >  h )

private

Fit single gaus + constant.

Parameters

h

histogram

Returns

fit status

Definition at line 133 of file TOPCommonT0BFAlgorithm.cc.

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.

setCutoffEntries()

void setCutoffEntries ( int  cutoffEntries )

inline

Sets cutoff on the number of histogram entries for steering btw.

single/double gaussian parameterization of the signal.

Parameters

cutoffEntries

double gaussian above that value, otherwise single gaussian

Definition at line 56 of file TOPCommonT0BFAlgorithm.h.

{m_cutoffEntries = cutoffEntries;}

setFitInitializers()

void setFitInitializers ( double  sigmaCore, double  sigmaTail, double  tailFract  )

inline

Sets values for the initialization of several fit parameters.

Parameters

sigmaCore	core gaussian sigma [ns]
sigmaTail	tail gaussian sigma [ns]
tailFract	fraction of tail gaussian. Single gaussian used if set to 0.

Definition at line 44 of file TOPCommonT0BFAlgorithm.h.

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.

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.

setMinError()

void setMinError ( double  minError )

inline

Sets minimal fitted offset uncertainty to declare this calibration as c_OK.

Parameters

minError

minimal uncertainty [ns]

Definition at line 62 of file TOPCommonT0BFAlgorithm.h.

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

• top/calibration/include/TOPCommonT0BFAlgorithm.h
• top/calibration/src/TOPCommonT0BFAlgorithm.cc