Class for viewing/visualizing TPC calibration data. More...

#include <AliTPCCalibViewer.h>

Inheritance diagram for AliTPCCalibViewer:

Public Member Functions
	AliTPCCalibViewer ()

	AliTPCCalibViewer (const AliTPCCalibViewer &c)

	AliTPCCalibViewer (TTree *const tree)

	AliTPCCalibViewer (const char fileName, const char treeName="calPads")

AliTPCCalibViewer &	operator= (const AliTPCCalibViewer &param)

virtual	~AliTPCCalibViewer ()

virtual void	Delete (Option_t *option="")

TString &	GetAbbreviation ()

TString &	GetAppendString ()

void	SetAbbreviation (const Char_t *abr)

void	SetAppendString (const Char_t *str)

virtual void	Draw (Option_t *opt="")

virtual Long64_t	Draw (const char varexp, const TCut &selection, Option_t option="", Long64_t nentries=1000000000, Long64_t firstentry=0)

virtual Long64_t	Draw (const char varexp, const char selection, Option_t *option="", Long64_t nentries=1000000000, Long64_t firstentry=0)

TString	AddAbbreviations (const Char_t *c, Bool_t printDrawCommand=kFALSE)

Int_t	EasyDraw (const char drawCommand, const char sector, const char cuts=0, const char drawOptions=0, Bool_t writeDrawCommand=kFALSE) const

Int_t	EasyDraw (const char drawCommand, Int_t sector, const char cuts=0, const char *drawOptions=0, Bool_t writeDrawCommand=kFALSE) const

Int_t	EasyDraw1D (const char drawCommand, const char sector, const char cuts=0, const char drawOptions=0, Bool_t writeDrawCommand=kFALSE) const

Int_t	EasyDraw1D (const char drawCommand, Int_t sector, const char cuts=0, const char *drawOptions=0, Bool_t writeDrawCommand=kFALSE) const

void	FormatHistoLabels (TH1 *histo) const

Int_t	DrawHisto1D (const char drawCommand, Int_t sector, const char cuts=0, const char *sigmas="2;4;6", Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE) const

Int_t	DrawHisto1D (const char drawCommand, const char sector, const char cuts=0, const char sigmas="2;4;6", Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE) const

Int_t	SigmaCut (const char drawCommand, Int_t sector, const char cuts=0, Float_t sigmaMax=5, Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE, Bool_t pm=kFALSE, const char *sigmas="", Float_t sigmaStep=-1) const

Int_t	SigmaCutNew (const char drawCommand, const char sector, const char cuts=0, Float_t sigmaMax=5, Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE, Bool_t pm=kFALSE, const char sigmas="", Float_t sigmaStep=-1) const

Int_t	SigmaCut (const char drawCommand, const char sector, const char cuts=0, Float_t sigmaMax=5, Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE, Bool_t pm=kFALSE, const char sigmas="", Float_t sigmaStep=-1) const

Int_t	Integrate (const char drawCommand, const char sector, const char cuts=0, Float_t sigmaMax=5, Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE, const char sigmas="", Float_t sigmaStep=-1) const

Int_t	Integrate (const char drawCommand, Int_t sector, const char cuts=0, Float_t sigmaMax=5, Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE, const char *sigmas="", Float_t sigmaStep=-1) const

Int_t	IntegrateOld (const char drawCommand, const char sector, const char cuts=0, Float_t sigmaMax=5, Bool_t plotMean=kTRUE, Bool_t plotMedian=kTRUE, Bool_t plotLTM=kTRUE, const char sigmas="", Float_t sigmaStep=-1) const

AliTPCCalPad *	GetCalPadOld (const char desiredData, const char cuts="", const char *calPadName="NoName") const

AliTPCCalPad *	GetCalPad (const char desiredData, const char cuts="", const char *calPadName="NoName") const

AliTPCCalROC *	GetCalROC (const char desiredData, UInt_t sector, const char cuts="") const

TObjArray *	GetArrayOfCalPads ()

TObjArray *	GetListOfVariables (Bool_t printList=kFALSE)

TObjArray *	GetListOfNormalizationVariables (Bool_t printList=kFALSE) const

TFriendElement *	AddReferenceTree (const char filename, const char treename="calPads", const char *refname="R")

TFriendElement *	AddFriend (const char treename, const char filename)

TFriendElement *	AddFriend (TTree tree, const char alias, Bool_t warn=kFALSE)

TFriendElement *	AddFriend (const char treename, TFile file)

TTree *	GetTree () const

TString *	Fit (const char drawCommand, const char formula, const char *cuts, Double_t &chi2, TVectorD &fitParam, TMatrixD &covMatrix)

Static Public Member Functions
static void	MakeTreeWithObjects (const char fileName, const TObjArray const array, const char *mapFileName=0)

static void	MakeTree (const char fileName, TObjArray array, const char mapFileName=0, AliTPCCalPad const outlierPad=0, Float_t ltmFraction=0.9)

static void	MakeTree (const char outPutFileName, const Char_t inputFileName, AliTPCCalPad outlierPad=0, Float_t ltmFraction=0.9, const char mapFileName="$ALICE_ROOT/TPC/Calib/MapCalibrationObjects.root")

static void	CreateObjectList (const Char_t filename, TObjArray calibObjects)

static void	MakeCalPadAliases (TTree *tree)

static Double_t	GetLTM (Int_t n, const Double_t const array, Double_t const sigma=0, Double_t fraction=0.9)

static Int_t	GetBin (Float_t value, Int_t nbins, Double_t binLow, Double_t binUp)

static TH1F *	SigmaCut (Int_t n, const Float_t *array, Float_t mean, Float_t sigma, Int_t nbins, Float_t binLow, Float_t binUp, Float_t sigmaMax, Float_t sigmaStep=-1, Bool_t pm=kFALSE)

static TH1F *	SigmaCut (TH1F *const histogram, Float_t mean, Float_t sigma, Float_t sigmaMax, Float_t sigmaStep=-1, Bool_t pm=kFALSE)

static TH1F *	Integrate (TH1F *const histogram, Float_t mean=0, Float_t sigma=0, Float_t sigmaMax=0, Float_t sigmaStep=-1)

static TH1F *	Integrate (Int_t n, const Float_t *const array, Int_t nbins, Float_t binLow, Float_t binUp, Float_t mean=0, Float_t sigma=0, Float_t sigmaMax=0, Float_t sigmaStep=-1)

static TH1F *	SigmaCut (Int_t n, const Double_t array, Double_t mean, Double_t sigma, Int_t nbins, const Double_t xbins, Double_t sigmaMax)

Protected Member Functions
void	DrawLines (TH1F cutHistoMean, TVectorF nsigma, TLegend legend, Int_t color, Bool_t pm) const

void	DrawLines (TGraph graph, TVectorF nsigma, TLegend legend, Int_t color, Bool_t pm) const

Protected Attributes
TTree *	fTree
	tree containing visualization data (e.g. written by AliTPCCalPad::MakeTree(...) More...

TFile *	fFile
	file that contains a calPads tree (e.g. written by AliTPCCalPad::MakeTree(...) More...

TObjArray *	fListOfObjectsToBeDeleted
	Objects, that will be deleted when the destructor ist called. More...

Bool_t	fTreeMustBeDeleted
	decides weather the tree must be deleted in destructor or not More...

TString	fAbbreviation
	the abreviation for '.fElements' More...

TString	fAppendString
	'.fElements', stored in a TStrig More...

Detailed Description

Class for viewing/visualizing TPC calibration data.

TPC calibration viewer/visualization class use Tree for visualization.

base on TTree functionality for visualization

Create a list of AliTPCCalPads, arrange them in an TObjArray. Pass this TObjArray to MakeTree and create the calibration Tree While craating this tree some statistical information are calculated Open the viewer with this Tree: AliTPCCalibViewer v("CalibTree.root") Have fun! EasyDraw("CETmean~-CETmean_mean", "A", "(CETmean~-CETmean_mean)>0")

If you like to click, we recommand you the AliTPCCalibViewerGUI

THE DOCUMENTATION IS STILL NOT COMPLETED !!!!

ROOT includes

Definition at line 28 of file AliTPCCalibViewer.h.

Constructor & Destructor Documentation

AliTPCCalibViewer::AliTPCCalibViewer ( )

Definition at line 76 of file AliTPCCalibViewer.cxx.

AliTPCCalibViewer::AliTPCCalibViewer ( const AliTPCCalibViewer & c )

dummy AliTPCCalibViewer copy constructor not yet working!!!

Definition at line 92 of file AliTPCCalibViewer.cxx.

AliTPCCalibViewer::AliTPCCalibViewer ( TTree *const tree )

Constructor that initializes the calibration viewer

Definition at line 113 of file AliTPCCalibViewer.cxx.

AliTPCCalibViewer::AliTPCCalibViewer	(	const char *	fileName,
		const char *	treeName = `"calPads"`
	)

Constructor to initialize the calibration viewer the file 'fileName' contains the tree 'treeName'

Definition at line 132 of file AliTPCCalibViewer.cxx.

AliTPCCalibViewer::~AliTPCCalibViewer ( )

virtual

AliTPCCalibViewer destructor all objects will be deleted, the file will be closed, the pictures will disappear

Definition at line 171 of file AliTPCCalibViewer.cxx.

Member Function Documentation

TString AliTPCCalibViewer::AddAbbreviations	(	const Char_t *	c,
		Bool_t	printDrawCommand = `kFALSE`
	)

Replace all "<variable>" with "<variable><fAbbreviation>" (Adds forgotten "~") but take care on the statistical information, like "CEQmean_Mean" and also take care on correct given variables, like "CEQmean~"

For each variable out of "listOfVariables":

'Save' correct items:
- form <replaceString>, take <variable>'s first char, add <removeString>, add rest of <variable>, e.g. "C!#EQmean" (<removeString> = "!#")
- For each statistical information in "listOfNormalizationVariables":
  - ReplaceAll <variable><statistical_Information> with <replaceString><statistical_Information>
- ReplaceAll <variable><abbreviation> with <replaceString><abbreviation>, e.g. "CEQmean~" -> "C!#EQmean~"
- ReplaceAll <variable><appendStr> with <replaceString><appendStr>, e.g. "CEQmean.fElements" -> "C!#EQmean.fElements"
Do actual replacing:
- ReplaceAll <variable> with <variable><fAbbreviation>, e.g. "CEQmean" -> "CEQmean~"
Undo saving:
- For each statistical information in "listOfNormalizationVariables":
  - ReplaceAll <replaceString><statistical_Information> with <variable><statistical_Information>
- ReplaceAll <replaceString><abbreviation> with <variable><abbreviation>, e.g. "C!#EQmean~" -> "CEQmean~"
- ReplaceAll <replaceString><appendStr> with <variable><appendStr>, e.g. "C!#EQmean.fElements" -> "CEQmean.fElements"

Now all the missing "~" should be added.

Definition at line 208 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoFit(), Draw(), AliTPCCalibViewerGUI::GetCutString(), and AliTPCCalibViewerGUI::GetDrawString().

TFriendElement* AliTPCCalibViewer::AddFriend	(	const char *	treename,
		const char *	filename
	)

inline

Definition at line 78 of file AliTPCCalibViewer.h.

Referenced by AddFiles(), and AddReferenceTree().

TFriendElement* AliTPCCalibViewer::AddFriend	(	TTree *	tree,
		const char *	alias,
		Bool_t	warn = `kFALSE`
	)

inline

Definition at line 79 of file AliTPCCalibViewer.h.

TFriendElement* AliTPCCalibViewer::AddFriend	(	const char *	treename,
		TFile *	file
	)

inline

Definition at line 80 of file AliTPCCalibViewer.h.

TFriendElement * AliTPCCalibViewer::AddReferenceTree	(	const char *	filename,
		const char *	treename = `"calPads"`,
		const char *	refname = `"R"`
	)

add a reference tree to the current tree by default the treename is 'calPads' and the reference treename is 'R'

Definition at line 1633 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoLoadTree(), Draw(), and AliTPCCalibViewerGUItime::SetGuiTree().

void AliTPCCalibViewer::CreateObjectList	(	const Char_t *	filename,
		TObjArray *	calibObjects
	)

static

Function to create a TObjArray out of a given file the file must be in the following format: (each colum separated by tabs, "dependingOnType" can have 2 or 3 colums)

type path dependingOnType

type == "CE": dependingOnType = CETmean CEQmean CETrms

type == "Pulser": dependingOnType = PulserTmean PulsterQmean PulserTrms

type == "Pedestals": dependingOnType = Pedestals Noise

type == "CalPad": dependingOnType = NameInFile NameToWriteToFile

Definition at line 2178 of file AliTPCCalibViewer.cxx.

Referenced by Draw(), and MakeTree().

void AliTPCCalibViewer::Delete ( Option_t * option = "" )

virtual

Should be called from AliTPCCalibViewerGUI class only. If you use Delete() do not call the destructor. All objects (except those contained in fListOfObjectsToBeDeleted) will be deleted, the file will be closed.

Definition at line 194 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::~AliTPCCalibViewerGUI().

virtual void AliTPCCalibViewer::Draw ( Option_t * opt = "" )

inlinevirtual

Definition at line 43 of file AliTPCCalibViewer.h.

Referenced by Fit().

virtual Long64_t AliTPCCalibViewer::Draw	(	const char *	varexp,
		const TCut &	selection,
		Option_t *	option = `""`,
		Long64_t	nentries = `1000000000`,
		Long64_t	firstentry = `0`
	)

inlinevirtual

Definition at line 44 of file AliTPCCalibViewer.h.

virtual Long64_t AliTPCCalibViewer::Draw	(	const char *	varexp,
		const char *	selection,
		Option_t *	option = `""`,
		Long64_t	nentries = `1000000000`,
		Long64_t	firstentry = `0`
	)

inlinevirtual

Definition at line 45 of file AliTPCCalibViewer.h.

Int_t AliTPCCalibViewer::DrawHisto1D	(	const char *	drawCommand,
		Int_t	sector,
		const char *	cuts = `0`,
		const char *	sigmas = `"2;4;6"`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`
	)		const

Easy drawing of data, in principle the same as EasyDraw1D Difference: A line for the mean / median / LTM is drawn in 'sigmas' you can specify in which distance to the mean/median/LTM you want to see a line in sigma-units, separated by ';' example: sigmas = "2; 4; 6;" at $2 \sigma$, $4 \sigma$ and $6 \sigma$ a line is drawn. "plotMean", "plotMedian" and "plotLTM": what kind of lines do you want to see?

Definition at line 562 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoDraw(), and Draw().

Int_t AliTPCCalibViewer::DrawHisto1D	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		const char *	sigmas = `"2;4;6"`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`
	)		const

Easy drawing of data, in principle the same as EasyDraw1D Difference: A line for the mean / median / LTM is drawn in 'sigmas' you can specify in which distance to the mean/median/LTM you want to see a line in sigma-units, separated by ';' example: sigmas = "2; 4; 6;" at $2 \sigma$, $4 \sigma$ and $6 \sigma$ a line is drawn. "plotMean", "plotMedian" and "plotLTM": what kind of lines do you want to see?

Definition at line 577 of file AliTPCCalibViewer.cxx.

void AliTPCCalibViewer::DrawLines	(	TH1F *	cutHistoMean,
		TVectorF	nsigma,
		TLegend *	legend,
		Int_t	color,
		Bool_t	pm
	)		const

protected

Private function for SigmaCut(...) and Integrate(...) Draws lines into the given histogram, specified by "nsigma", the lines are addeed to the legend

Definition at line 1118 of file AliTPCCalibViewer.cxx.

Referenced by Integrate(), IntegrateOld(), SigmaCut(), and SigmaCutNew().

void AliTPCCalibViewer::DrawLines	(	TGraph *	graph,
		TVectorF	nsigma,
		TLegend *	legend,
		Int_t	color,
		Bool_t	pm
	)		const

protected

Private function for SigmaCut(...) and Integrate(...) Draws lines into the given histogram, specified by "nsigma", the lines are addeed to the legend

Definition at line 1168 of file AliTPCCalibViewer.cxx.

Int_t AliTPCCalibViewer::EasyDraw	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		const char *	drawOptions = `0`,
		Bool_t	writeDrawCommand = `kFALSE`
	)		const

easy drawing of data, use '~' for abbreviation of '.fElements' example: EasyDraw("CETmean~-CETmean_mean", "A", "(CETmean~-CETmean_mean)>0") sector: sector-number - only the specified sector will be drwawn 'A'/'C' or 'a'/'c' - side A/C will be drawn 'ALL' - whole TPC will be drawn, projected on one side cuts: specifies cuts drawOptions: draw options like 'same' writeDrawCommand: write the command, that is passed to TTree::Draw

Definition at line 312 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoDraw(), Draw(), and EasyDraw().

Int_t AliTPCCalibViewer::EasyDraw	(	const char *	drawCommand,
		Int_t	sector,
		const char *	cuts = `0`,
		const char *	drawOptions = `0`,
		Bool_t	writeDrawCommand = `kFALSE`
	)		const

easy drawing of data, use '~' for abbreviation of '.fElements' example: EasyDraw("CETmean~-CETmean_mean", 34, "(CETmean~-CETmean_mean)>0") sector: sector-number - only the specified sector will be drwawn cuts: specifies cuts drawOptions: draw options like 'same' writeDrawCommand: write the command, that is passed to TTree::Draw

Definition at line 438 of file AliTPCCalibViewer.cxx.

Int_t AliTPCCalibViewer::EasyDraw1D	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		const char *	drawOptions = `0`,
		Bool_t	writeDrawCommand = `kFALSE`
	)		const

easy drawing of data, use '~' for abbreviation of '.fElements' example: EasyDraw("CETmean~-CETmean_mean", "A", "(CETmean~-CETmean_mean)>0") sector: sector-number - the specified sector will be drwawn 'A'/'C' or 'a'/'c' - side A/C will be drawn 'ALL' - whole TPC will be drawn, projected on one side cuts: specifies cuts drawOptions: draw options like 'same' writeDrawCommand: write the command, that is passed to TTree::Draw

Definition at line 455 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoDraw(), Draw(), DrawHisto1D(), EasyDraw1D(), GetCalPadOld(), GetCalROC(), Integrate(), IntegrateOld(), SigmaCut(), and SigmaCutNew().

Int_t AliTPCCalibViewer::EasyDraw1D	(	const char *	drawCommand,
		Int_t	sector,
		const char *	cuts = `0`,
		const char *	drawOptions = `0`,
		Bool_t	writeDrawCommand = `kFALSE`
	)		const

easy drawing of data, use '~' for abbreviation of '.fElements' example: EasyDraw("CETmean~-CETmean_mean", 34, "(CETmean~-CETmean_mean)>0") sector: sector-number - the specified sector will be drwawn cuts: specifies cuts drawOptions: draw options like 'same' writeDrawCommand: write the command, that is passed to TTree::Draw

Definition at line 515 of file AliTPCCalibViewer.cxx.

TString * AliTPCCalibViewer::Fit	(	const char *	drawCommand,
		const char *	formula,
		const char *	cuts,
		Double_t &	chi2,
		TVectorD &	fitParam,
		TMatrixD &	covMatrix
	)

fit an arbitrary function, specified by formula into the data, specified by drawCommand and cuts returns chi2, fitParam and covMatrix returns TString with fitted formula

Definition at line 1666 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoFit(), AliTPCCalibViewerGUI::GetDrawString(), and GetTree().

void AliTPCCalibViewer::FormatHistoLabels ( TH1 * histo ) const

formats title and axis labels of histo removes '.fElements'

Definition at line 531 of file AliTPCCalibViewer.cxx.

Referenced by Draw(), EasyDraw(), and EasyDraw1D().

TString& AliTPCCalibViewer::GetAbbreviation ( )

inline

Definition at line 38 of file AliTPCCalibViewer.h.

Referenced by AliTPCCalibViewerGUI::GetDrawString().

TString& AliTPCCalibViewer::GetAppendString ( )

inline

Definition at line 39 of file AliTPCCalibViewer.h.

TObjArray * AliTPCCalibViewer::GetArrayOfCalPads ( )

Returns a TObjArray with all AliTPCCalPads that are stored in the tree

this takes a while -

Definition at line 1644 of file AliTPCCalibViewer.cxx.

Referenced by Draw().

Int_t AliTPCCalibViewer::GetBin	(	Float_t	value,
		Int_t	nbins,
		Double_t	binLow,
		Double_t	binUp
	)

static

Returns the 'bin' for 'value' The interval between 'binLow' and 'binUp' is divided into 'nbins' equidistant bins avoid index out of bounds error: 'if (bin < binLow) bin = binLow' and vice versa

\[ GetBin(value) = \frac{nbins - 1}{binUp - binLow} \upoint (value - binLow) +1 \]

Definition at line 1223 of file AliTPCCalibViewer.cxx.

Referenced by GetTree(), Integrate(), and SigmaCut().

AliTPCCalPad * AliTPCCalibViewer::GetCalPad	(	const char *	desiredData,
		const char *	cuts = `""`,
		const char *	calPadName = `"NoName"`
	)		const

creates a AliTPCCalPad out of the 'desiredData' the functionality of EasyDraw1D is used calPadName specifies the name of the created AliTPCCalPad

this takes a while -

Definition at line 1480 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoExport(), Draw(), GetArrayOfCalPads(), MakeFit(), and RebuildData().

AliTPCCalPad * AliTPCCalibViewer::GetCalPadOld	(	const char *	desiredData,
		const char *	cuts = `""`,
		const char *	calPadName = `"NoName"`
	)		const

creates a AliTPCCalPad out of the 'desiredData' the functionality of EasyDraw1D is used calPadName specifies the name of the created AliTPCCalPad

this takes a while -

Definition at line 1455 of file AliTPCCalibViewer.cxx.

Referenced by Draw().

AliTPCCalROC * AliTPCCalibViewer::GetCalROC	(	const char *	desiredData,
		UInt_t	sector,
		const char *	cuts = `""`
	)		const

creates a AliTPCCalROC out of the desiredData the functionality of EasyDraw1D is used sector specifies the sector of the created AliTPCCalROC

Definition at line 1512 of file AliTPCCalibViewer.cxx.

Referenced by Draw(), and MakeTreeWithObjects().

TObjArray * AliTPCCalibViewer::GetListOfNormalizationVariables ( Bool_t printList = kFALSE ) const

produces a list of available variables for normalization in the tree printList: print the list to the screen, after the scan is done

Definition at line 1601 of file AliTPCCalibViewer.cxx.

Referenced by AddAbbreviations(), Draw(), and AliTPCCalibViewerGUI::Initialize().

TObjArray * AliTPCCalibViewer::GetListOfVariables ( Bool_t printList = kFALSE )

scan the tree - produces a list of available variables in the tree printList: print the list to the screen, after the scan is done

Definition at line 1529 of file AliTPCCalibViewer.cxx.

Referenced by AddAbbreviations(), Draw(), GetArrayOfCalPads(), and AliTPCCalibViewerGUI::Initialize().

Double_t AliTPCCalibViewer::GetLTM	(	Int_t	n,
		const Double_t *const	array,
		Double_t *const	sigma = `0`,
		Double_t	fraction = `0.9`
	)

static

returns the LTM and sigma

Definition at line 1241 of file AliTPCCalibViewer.cxx.

Referenced by DrawHisto1D(), GetTree(), Integrate(), IntegrateOld(), and SigmaCut().

TTree* AliTPCCalibViewer::GetTree ( ) const

inline

Definition at line 81 of file AliTPCCalibViewer.h.

Referenced by LoadViewer(), MakeFit(), MakeTree(), RebuildData(), and startGUI().

Int_t AliTPCCalibViewer::Integrate	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		Float_t	sigmaMax = `5`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`,
		const char *	sigmas = `""`,
		Float_t	sigmaStep = `-1`
	)		const

Creates an integrated histogram $S(t, \mu, \sigma)$, out of the input distribution distribution $f(x, \mu, \sigma)$, given in "histogram" "mean" and "sigma" are $\mu$ and $\sigma$ of the distribution in "histogram", to be specified by the user sigmaMax: up to which sigma around the mean/median/LTM you want to integrate if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used The actual work is done on the array.

\[ f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = \int_{-\infty}^{\mu + t \sigma} f(x, \mu, \sigma) dx / \int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx \]

Definition at line 1009 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoDraw(), Draw(), GetTree(), Integrate(), and IntegrateOld().

Int_t AliTPCCalibViewer::Integrate	(	const char *	drawCommand,
		Int_t	sector,
		const char *	cuts = `0`,
		Float_t	sigmaMax = `5`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`,
		const char *	sigmas = `""`,
		Float_t	sigmaStep = `-1`
	)		const

Creates an integrated histogram $S(t, \mu, \sigma)$, out of the input distribution distribution $f(x, \mu, \sigma)$, given in "histogram" "mean" and "sigma" are $\mu$ and $\sigma$ of the distribution in "histogram", to be specified by the user sigmaMax: up to which sigma around the mean/median/LTM you want to integrate if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used The actual work is done on the array.

\[ f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = \int_{-\infty}^{\mu + t \sigma} f(x, \mu, \sigma) dx / \int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx \]

Definition at line 903 of file AliTPCCalibViewer.cxx.

TH1F * AliTPCCalibViewer::Integrate	(	TH1F *const	histogram,
		Float_t	mean = `0`,
		Float_t	sigma = `0`,
		Float_t	sigmaMax = `0`,
		Float_t	sigmaStep = `-1`
	)

static

Creates an integrated histogram $S(t, \mu, \sigma)$, out of the input distribution distribution $f(x, \mu, \sigma)$, given in "histogram" "mean" and "sigma" are $\mu$ and $\sigma$ of the distribution in "histogram", to be specified by the user sigmaMax: up to which sigma around the mean/median/LTM you want to integrate if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used The actual work is done on the array.

\[ f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = \int_{-\infty}^{\mu + t \sigma} f(x, \mu, \sigma) dx / \int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx \]

Picture from ROOT macro

Definition at line 1365 of file AliTPCCalibViewer.cxx.

TH1F * AliTPCCalibViewer::Integrate	(	Int_t	n,
		const Float_t *const	array,
		Int_t	nbins,
		Float_t	binLow,
		Float_t	binUp,
		Float_t	mean = `0`,
		Float_t	sigma = `0`,
		Float_t	sigmaMax = `0`,
		Float_t	sigmaStep = `-1`
	)

static

Creates an integrated histogram $S(t, \mu, \sigma)$, out of the input distribution distribution $f(x, \mu, \sigma)$, given in "histogram" "mean" and "sigma" are $\mu$ and $\sigma$ of the distribution in "histogram", to be specified by the user sigmaMax: up to which sigma around the mean/median/LTM you want to integrate if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used Here the actual work is done.

Definition at line 1386 of file AliTPCCalibViewer.cxx.

Int_t AliTPCCalibViewer::IntegrateOld	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		Float_t	sigmaMax = `5`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`,
		const char *	sigmas = `""`,
		Float_t	sigmaStep = `-1`
	)		const

Creates an integrated histogram $S(t, \mu, \sigma)$, out of the input distribution distribution $f(x, \mu, \sigma)$, given in "histogram" "mean" and "sigma" are $\mu$ and $\sigma$ of the distribution in "histogram", to be specified by the user sigmaMax: up to which sigma around the mean/median/LTM you want to integrate if "igma == 0" and "sigmaMax == 0" the whole histogram is integrated "sigmaStep": the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used The actual work is done on the array.

\[ f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = \int_{-\infty}^{\mu + t \sigma} f(x, \mu, \sigma) dx / \int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx \]

Definition at line 924 of file AliTPCCalibViewer.cxx.

Referenced by Draw().

void AliTPCCalibViewer::MakeCalPadAliases ( TTree * tree )

static

make standard aliases for standard calibration trees

Definition at line 2134 of file AliTPCCalibViewer.cxx.

Referenced by GetTree(), and MakeTree().

void AliTPCCalibViewer::MakeTree	(	const char *	fileName,
		TObjArray *	array,
		const char *	mapFileName = `0`,
		AliTPCCalPad *const	outlierPad = `0`,
		Float_t	ltmFraction = `0.9`
	)

static

Write a tree with all available information if mapFileName is speciefied, the Map information are also written to the tree pads specified in outlierPad are not used for calculating statistics The following statistical information on the basis of a ROC are calculated: "_Median", "_Mean", "_LTM", "_RMS_LTM" "_Median_OutlierCutted", "_Mean_OutlierCutted", "_RMS_OutlierCutted", "_LTM_OutlierCutted", "_RMS_LTM_OutlierCutted" The following position variables are available: "row", "pad", "lx", "ly", "gx", "gy", "rpad", "channel"

The tree out of this function is the basis for the AliTPCCalibViewer and the AliTPCCalibViewerGUI.

Definition at line 1890 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalPad::AddFriend(), Draw(), AliTPCPreprocessorOnline::DumpToFile(), AliTPCCalPad::DumpUnitTestTrees(), MakeTree(), and UnitTestAliTPCCalPadTree().

void AliTPCCalibViewer::MakeTree	(	const char *	outPutFileName,
		const Char_t *	inputFileName,
		AliTPCCalPad *	outlierPad = `0`,
		Float_t	ltmFraction = `0.9`,
		const char *	mapFileName = `"$ALICE_ROOT/TPC/Calib/MapCalibrationObjects.root"`
	)

static

Function to create a calibration Tree with all available information. See also documentation to MakeTree the file "inputFileName" must be in the following format (see also CreateObjectList): (each colum separated by tabs, "dependingOnType" can have 2 or 3 colums)

type path dependingOnType

type == "CE": dependingOnType = CETmean CEQmean CETrms

type == "Pulser": dependingOnType = PulserTmean PulsterQmean PulserTrms

type == "Pedestals": dependingOnType = Pedestals Noise

type == "CalPad": dependingOnType = NameInFile NameToWriteToFile

Definition at line 2152 of file AliTPCCalibViewer.cxx.

void AliTPCCalibViewer::MakeTreeWithObjects	(	const char *	fileName,
		const TObjArray *const	array,
		const char *	mapFileName = `0`
	)

static

Write tree with all available information im mapFileName is speciefied, the Map information are also written to the tree AliTPCCalPad-Objects are written directly to the tree, so that they can be accessd later on (does not work!!!)

Definition at line 1742 of file AliTPCCalibViewer.cxx.

Referenced by Draw().

AliTPCCalibViewer & AliTPCCalibViewer::operator= ( const AliTPCCalibViewer & param )

assignment operator - dummy not yet working!!!

Definition at line 154 of file AliTPCCalibViewer.cxx.

void AliTPCCalibViewer::SetAbbreviation ( const Char_t * abr )

inline

Definition at line 40 of file AliTPCCalibViewer.h.

void AliTPCCalibViewer::SetAppendString ( const Char_t * str )

inline

Definition at line 41 of file AliTPCCalibViewer.h.

Int_t AliTPCCalibViewer::SigmaCut	(	const char *	drawCommand,
		Int_t	sector,
		const char *	cuts = `0`,
		Float_t	sigmaMax = `5`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`,
		Bool_t	pm = `kFALSE`,
		const char *	sigmas = `""`,
		Float_t	sigmaStep = `-1`
	)		const

Creates a histogram $S(t, \mu, \sigma)$, where you can see, how much of the data are inside sigma-intervals around the mean value The data of the distribution $f(x, \mu, \sigma)$ are given in 'array', 'n' specifies the length of the array 'mean' and 'sigma' are $\mu$ and $\sigma$ of the distribution in 'array', to be specified by the user 'nbins': number of bins, 'binLow': first bin, 'binUp': last bin sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma, $t \sigma$) sigmaStep: the binsize of the generated histogram

\[ f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = (\int_{\mu}^{\mu + t \sigma} f(x, \mu, \sigma) dx + \int_{\mu}^{\mu - t \sigma} f(x, \mu, \sigma) dx) / (\int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx) \]

Creates a histogram, where you can see, how much of the data are inside sigma-intervals around the mean/median/LTM with drawCommand, sector and cuts you specify your input data, see EasyDraw sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma) sigmaStep: the binsize of the generated histogram plotMean/plotMedian/plotLTM: specifies where to put the center

Definition at line 699 of file AliTPCCalibViewer.cxx.

Referenced by AliTPCCalibViewerGUI::DoDraw(), Draw(), GetTree(), and SigmaCut().

Int_t AliTPCCalibViewer::SigmaCut	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		Float_t	sigmaMax = `5`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`,
		Bool_t	pm = `kFALSE`,
		const char *	sigmas = `""`,
		Float_t	sigmaStep = `-1`
	)		const

Creates a histogram, where you can see, how much of the data are inside sigma-intervals around the mean/median/LTM with drawCommand, sector and cuts you specify your input data, see EasyDraw sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma) sigmaStep: the binsize of the generated histogram plotMean/plotMedian/plotLTM: specifies where to put the center

Definition at line 725 of file AliTPCCalibViewer.cxx.

TH1F * AliTPCCalibViewer::SigmaCut	(	Int_t	n,
		const Float_t *	array,
		Float_t	mean,
		Float_t	sigma,
		Int_t	nbins,
		Float_t	binLow,
		Float_t	binUp,
		Float_t	sigmaMax,
		Float_t	sigmaStep = `-1`,
		Bool_t	pm = `kFALSE`
	)

static

Creates a histogram $S(t, \mu, \sigma)$, where you can see, how much of the data are inside sigma-intervals around the mean value The data of the distribution $f(x, \mu, \sigma)$ are given in 'array', 'n' specifies the length of the array 'mean' and 'sigma' are $\mu$ and $\sigma$ of the distribution in 'array', to be specified by the user 'nbins': number of bins, 'binLow': first bin, 'binUp': last bin sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma, $t \sigma$) sigmaStep: the binsize of the generated histogram Here the actual work is done.

Definition at line 1283 of file AliTPCCalibViewer.cxx.

TH1F * AliTPCCalibViewer::SigmaCut	(	TH1F *const	histogram,
		Float_t	mean,
		Float_t	sigma,
		Float_t	sigmaMax,
		Float_t	sigmaStep = `-1`,
		Bool_t	pm = `kFALSE`
	)

static

Creates a cumulative histogram $S(t, \mu, \sigma)$, where you can see, how much of the data are inside sigma-intervals around the mean value The data of the distribution $f(x, \mu, \sigma)$ are given in 'histogram' 'mean' and 'sigma' are $\mu$ and $\sigma$ of the distribution in 'histogram', to be specified by the user sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma, $t \sigma$) sigmaStep: the binsize of the generated histogram, -1 means, that the maximal reasonable stepsize is used pm: Decide weather $t > 0$ (first case) or $t$ arbitrary (secound case) The actual work is done on the array.

\[ f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = (\int_{\mu}^{\mu + t \sigma} f(x, \mu, \sigma) dx + \int_{\mu}^{\mu - t \sigma} f(x, \mu, \sigma) dx) / (\int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx), for t > 0 or f(x, \mu, \sigma) \Rightarrow S(t, \mu, \sigma) = \int_{\mu}^{\mu + t \sigma} f(x, \mu, \sigma) dx / \int_{-\infty}^{+\infty} f(x, \mu, \sigma) dx \]

Picture from ROOT macro

Definition at line 1259 of file AliTPCCalibViewer.cxx.

TH1F * AliTPCCalibViewer::SigmaCut	(	Int_t	n,
		const Double_t *	array,
		Double_t	mean,
		Double_t	sigma,
		Int_t	nbins,
		const Double_t *	xbins,
		Double_t	sigmaMax
	)

static

SigmaCut for variable binsize NOT YET IMPLEMENTED !!!

Definition at line 1355 of file AliTPCCalibViewer.cxx.

Int_t AliTPCCalibViewer::SigmaCutNew	(	const char *	drawCommand,
		const char *	sector,
		const char *	cuts = `0`,
		Float_t	sigmaMax = `5`,
		Bool_t	plotMean = `kTRUE`,
		Bool_t	plotMedian = `kTRUE`,
		Bool_t	plotLTM = `kTRUE`,
		Bool_t	pm = `kFALSE`,
		const char *	sigmas = `""`,
		Float_t	sigmaStep = `-1`
	)		const

Creates a histogram, where you can see, how much of the data are inside sigma-intervals around the mean/median/LTM with drawCommand, sector and cuts you specify your input data, see EasyDraw sigmaMax: up to which sigma around the mean/median/LTM the histogram is generated (in units of sigma) sigmaStep: the binsize of the generated histogram plotMean/plotMedian/plotLTM: specifies where to put the center

Definition at line 811 of file AliTPCCalibViewer.cxx.

Referenced by Draw().