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Update of the Fiducial PMT study

This update provides an overview of the reconstruction applied to MC-generated events, with improved criteria for fiducial volume (FV) identification. The error of FV calibration for FVPMT geometry is estimated. Efficiencies and errors of FV identification are discussed, along with additional criteria for in/out identification. The efficiency curves for different directions are presented, along with the error analysis. The summary highlights the improved identification criteria and the ongoing preparation for improved routines. The study also explores the configuration using a lower number of PMTs while maintaining efficiency and error rates.

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Update of the Fiducial PMT study

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  1. Update of the Fiducial PMT study 2km video meeting 20 April, 2006 G. Mitsuka K.Okumura

  2. Introduction • Reconstruction is applied for generated MC~170000events(shown at last meeting) • FV identification criteria is improved • Estimate the error of FV calibration

  3. FVPMT geometry (reminder) FV boundary Inward-Facing PMT = IFPMTOutward-Facing PMT = OFPMT Front & End-cap 104PMTs + Barrel 360PMTs = Total 464PMTs

  4. Criteria for in/out identification (reminder) Fitted vertex Cross point VTX-Cross point = LVC FVout event FVout event L OFPMT Hits IFPMT OFPMT Hit L- LVC 0 FVin event IFPMT FVin event Hits OFPMT No-hit FV boundary IFPMT Hit L- LVC 0 If OFPMT hit (L-Lvc < 0) ID as FVoutelse if IFPMT hit != 0 ID as FVinelse(i.e. No-IFPMT hit)  ID as FVout

  5. Criteria for in/out identification (addition1) Backward extrapolated cross point &&VTX-Corss(forward) > VTX-Cross(Backward)  Hits around backward cross point are taken into acount to correct mis-fitted event miss-fittedFVout event OFPMT Hit • miss-fitted FVout eventTrue vertex(★) is FVoutFitted vertex(●) is FV in OFPMT hit can correct FVin to FVout • miss-fitted FVin event • True vertex(★) is FVinFitted vertex(●) is FVout OFPMT hit can correct FVin to FVout miss-fittedFVin event IFPMT Hit

  6. Criteria for in/out identification (addition2) In this case, ID as FVout by OFPMT hit(scattering, reflection) to avoid miss-ID due to the scattering or reflection cosq(PMT dir~particle dir) > 0.8 ignore hit q OFPMT Hit

  7. FV identification efficiency(Z dir) Efficiency = • ID as FVin(ID) • ID as FVout(ID) • X,Y,Z is fitted position • Events in R(=sqrt(X2+Y2)) < 150cm are selected • Efficiency curve shows sharp shift at FV boundary

  8. FV identification efficiency(R dir) • Events in -300<Z<100cm are selected • Efficiency curve shows sharp shift at FV boundary • ID as FVin(ID) • ID as FVout(ID) Efficiency summary

  9. Error of Identification efficiency Systematic error of FV • Error of identification efficiency • Calibration system (Q:+/-20%,Nhit:+/-10%)  0.3% • Neutrino interaction (nonQE:+/-20%,NC: +/-30%)  0.4% • Reconstruction (PID:+/-4%,RingCounting:+/-5%)  0.3% • Energy scale (+/-2%)  0.2% NinID : #events in FV e : Efficiency of FV identification Real data MC Error of efficiency = 0.7%

  10. Summary • Improved criteria is applied for fitted MC • Events are correctly identified with efficiency > 80% • Error of identification efficiency is 0.7% • In preparation for the commitment of improved routines • Studying the configuration using lower number of PMTs as keeping efficiency and error

  11. Backup ….

  12. miss-identified event • FVin events miss-identified as FVout • Outwrd-going event whose vertex is near from FV boundary OFPMT hit around exit point • LowE event whose vertex is almost center of FV  Neither PMT hits • FVout events miss-identified as FVin • Inward-going event whose vertex is near from FV boundary  IFPMT hits, but OFPMT no-hit

  13. Slope of Efficiency curve in FV q1 q1 + q2 = p/2q1 >q2 q2 OFPMT hits due to scattering or reflection  identified as FVout event cos(q2) is generally large  Hit is ignored by angle cutcos(q2) is generally small  Hit is taken into account in the calibration criteria Z

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