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/** |
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* \file ToFLevel2.h |
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* \author Gianfranca DeRosa / Wolfgang Menn |
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*/ |
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#ifndef ToFLevel2_h |
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#define ToFLevel2_h |
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// |
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#include <TObject.h> |
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#include <TArrayI.h> |
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#include <TArrayF.h> |
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#include <TClonesArray.h> |
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|
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#include <math.h> // EMILIANO |
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|
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#include <ToFStruct.h> |
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// |
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// class which contains track related variables |
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// |
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#define ZTOF11 53.74 |
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#define ZTOF12 53.04 |
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#define ZTOF21 23.94 |
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#define ZTOF22 23.44 |
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#define ZTOF31 -23.49 |
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#define ZTOF32 -24.34 |
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/** |
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* \brief Class which contains the PMT data |
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* |
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* If there is a valid ADC or a TDC value (value<4095) for a PMT, both ADC and TDC data |
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* are stored in the PMT class. |
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* Look in the ToFLevel2Ex.cxx example in the repository how to read the PMT class. |
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*/ |
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class ToFPMT : public TObject { |
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private: |
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public: |
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Int_t pmt_id; ///<the identification number of the PMT from 0 to 47 |
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Float_t adc; ///<raw ADC value for this PMT |
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Float_t tdc; ///<raw TDC value for this PMT |
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Float_t tdc_tw; ///<time-walk corrected TDC value for this PMT |
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// |
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ToFPMT(); |
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ToFPMT(const ToFPMT&); |
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// |
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ToFPMT* GetToFPMT(){return this;}; |
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void Clear(Option_t *t=""); |
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ClassDef(ToFPMT,2); |
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}; |
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/** |
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* \brief Class which contains the tracker related variables |
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* |
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* We can use the ToF standalone to find hitted paddles, calculate beta, etc.. |
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* These results are then stored with the "trkseqno" = -1. |
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* If we use the track from the tracker, then the penetration points in the |
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* scintillators are calculated, which defines the hitted paddles. For these paddles |
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* we calculate then all the output. |
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* Note: The artificial ADC values are stored as dEdx in the output, the dEdx will be |
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* by definition = 1. However, the artificial TDC values are just used internally |
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* and not stored in the output. But one can see in both cases which PMT has artificial |
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* values using "adcflag" and "tdcflag". |
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* Look in the ToFLevel2Ex.cxx example in the repository how to read the tracker related |
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* variables. |
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*/ |
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class ToFTrkVar : public TObject { |
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private: |
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public: |
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// |
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Int_t trkseqno; ///< tracker sequ. number: -1=ToF standalone, 0=first Tracker track, ... |
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// |
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Int_t npmttdc; ///<number of the TDC measurements used to evaluate beta |
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TArrayI pmttdc; ///<contains the ID (0..47) for the PMT used to evaluate beta |
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TArrayI tdcflag; ///<flag for artificial TDC, "0" if normal TDC value |
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|
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/** |
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* \brief beta, 12 measurements for the 12 combinations, beta[13] is modified weighted mean |
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* |
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* The 12 measurements are S11-S31, S11-S32, S12-S31, S12-S32, and then analogue for |
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* S2-S3 and S1-S2. |
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* The calculation of beta[13] is now modified: |
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* We check the individual weights for artificial TDC values, then calculate |
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* am mean beta for the first time. In a second step we loop again through |
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* the single measurements, checking for the residual from the mean |
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* The cut on the residual reject measurements > "x"-sigma. A chi2 value is |
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* calculated, furthermore a "quality" value by adding the weights which |
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* are finally used. If all measurements are taken, "quality" will be = 505. |
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* A chi2 cut around 3-4 and a quality-cut > 400 is needed for clean beta |
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* The Level2 beta[12] which is derived in the fortran routines uses: 10.,200.,20. |
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* This is not a very high quality measurement. One can re-calculate a new beta[13] |
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* using the L2-method "CalcBeta" |
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*/ |
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Float_t beta[13]; |
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// |
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Int_t npmtadc; ///<number of the ADC measurements used for dEdx evaluation |
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TArrayI pmtadc; ///<contains the ID (0..47) for the PMT used to evaluate dEdx |
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TArrayI adcflag; ///<flag for artificial ADCs, "0" if normal ADC value |
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TArrayF dedx; ///<energy loss for this PMT in mip |
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// |
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Float_t xtofpos[3]; ///<x-measurement using the TDC values and the calibration from S12, S21, S32 |
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Float_t ytofpos[3]; ///<x-measurement using the TDC values and the calibration from S11, S22, S31 |
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// |
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Float_t xtr_tof[6]; ///<x-measurement in the ToF layers from tracker |
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Float_t ytr_tof[6]; ///<x-measurement in the ToF layers from tracker |
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// |
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ToFTrkVar(); |
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ToFTrkVar(const ToFTrkVar&); |
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|
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ToFTrkVar* GetToFTrkVar(){return this;}; |
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void Clear(Option_t *t=""); |
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ClassDef(ToFTrkVar,1); |
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// |
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}; |
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/** |
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* \brief Class to describe ToF LEVEL2 data |
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* |
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*/ |
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class ToFLevel2 : public TObject { |
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private: |
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public: |
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// |
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TClonesArray *PMT; ///<class needed to store PMT hit informations |
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TClonesArray *ToFTrk; ///<track related variable class |
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Int_t tof_j_flag[6]; ///<number of hitted paddle(s) for each ToF layer: flag = flag + 2**(paddlenumber-1) |
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// |
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Int_t unpackError;///< zero if no error presente |
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Int_t default_calib; ///< one if the default calibration has been used to process the data, zero otherwise |
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// |
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Float_t GetdEdx(Int_t notrack, Int_t plane, Int_t adcfl); // gf Apr 07 |
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Float_t CalcBeta(Int_t notrack, Float_t resmax, Float_t qualitycut, Float_t chi2cut); // wm feb 08 |
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// |
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// Float_t CalcBeta(Int_t notrack, Float_t resmax, Float_t chi2cut, Float_t qualitycut); // wm feb 08 |
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// |
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// methods to make life simplier during the analysis, returns a pointer to the ToFTrkVar class containing track related variables |
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// |
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Int_t ntrk(){return ToFTrk->GetEntries();}; |
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Int_t npmt(){return PMT->GetEntries();}; |
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// |
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void GetLevel2Struct(cToFLevel2 *) const; |
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// |
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ToFTrkVar *GetToFTrkVar(Int_t notrack); |
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ToFPMT *GetToFPMT(Int_t nohit); |
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Int_t GetPMTid(Int_t gg, Int_t hh); |
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TString GetPMTName(Int_t ind); |
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Int_t GetPlaneIndex(Int_t pmt_id); |
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void GetMatrix(Int_t notrack, Float_t adc[4][12], Float_t tdc[4][12]); |
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void GetPMTIndex(Int_t pmt_id, Int_t &gg, Int_t &hh); |
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// gf Apr 07 |
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void GetdEdxPaddle(Int_t notrack, Int_t paddleid, Int_t adcfl, Float_t &PadEdx, Int_t &SatWarning); // gf Apr 07 |
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TString GetPMTName(Int_t ind, Int_t &iplane, Int_t &ipaddle,Int_t &ipmt); |
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Int_t GetPaddleIdOfTrack(Float_t xtr, Float_t ytr, Int_t plane); // gf Apr 07 |
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void GetPMTPaddle(Int_t pmt_id, Int_t &plane, Int_t &paddle); // gf Apr 07 |
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void GetPaddlePMT(Int_t paddle, Int_t &pmtleft, Int_t &pmtright); // gf Apr 07 |
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void GetPaddleGeometry(Int_t plane, Int_t paddle, Float_t &xleft, Float_t &xright, Float_t &yleft, Float_t &yright); // gf Apr 07 |
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Int_t GetPaddleid(Int_t plane, Int_t paddle); |
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void GetPaddlePlane(Int_t padid, Int_t &plane, Int_t &paddle); |
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Int_t GetNPaddle(Int_t plane); |
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// |
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// |
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|
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// |
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// constructor |
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// |
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ToFLevel2(); |
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~ToFLevel2(){Delete();}; //ELENA |
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void Delete(Option_t *t=""); //ELENA |
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void Set();//ELENA |
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// |
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// |
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ToFLevel2* GetToFLevel2(){return this;}; |
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/** |
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* Method to get the z-position of the 6 TOF layers from the plane ID |
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* @param plane_id Plane ID (11 12 21 22 31 32) |
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*/ |
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Float_t GetZTOF(Int_t plane_id){ |
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switch(plane_id){ |
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case 11: return ZTOF11; |
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case 12: return ZTOF12; |
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case 21: return ZTOF21; |
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case 22: return ZTOF22; |
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case 31: return ZTOF31; |
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case 32: return ZTOF32; |
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default: return 0.; |
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}; |
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}; |
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// |
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// Paddles position |
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// |
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/* |
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S11 8 paddles 33.0 x 5.1 cm |
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S12 6 paddles 40.8 x 5.5 cm |
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S21 2 paddles 18.0 x 7.5 cm |
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S22 2 paddles 15.0 x 9.0 cm |
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S31 3 paddles 15.0 x 6.0 cm |
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S32 3 paddles 18.0 x 5.0 cm |
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*/ |
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Int_t GetToFPlaneID(Int_t ip); |
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Int_t GetToFPlaneIndex(Int_t plane_id); |
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Bool_t HitPaddle(Int_t ,Int_t); |
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Int_t GetNHitPaddles(Int_t plane); |
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void Clear(Option_t *t=""); |
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// |
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ClassDef(ToFLevel2,3); |
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}; |
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#endif |
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