understanding of the e391a detector using k l decay
DESCRIPTION
Understanding of the E391a Detector using K L decay. Ken Sakashita ( Osaka University ) for the E391a collaboration. Overview K L → 3 p 0 analysis K L beam & Detector study Conclusion. Overview(1). CsI Charged Veto Collar counter (CC03) Edge counter. Detector only downstream part. - PowerPoint PPT PresentationTRANSCRIPT
![Page 1: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/1.jpg)
Understanding of the E391a Detector using KL
decayKen Sakashita
( Osaka University )for the E391a collaboration
1.Overview2.KL → 30 analysis3.KL beam & Detector study4.Conclusion
![Page 2: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/2.jpg)
• Engineering RunOverview(1)
» CsI » Charged Veto» Collar counter (CC03)» Edge counter
• Detector & KL beam understanding– Data sample vs MonteCarlo
• KL 30
– Confirm our MC simulation• We need confirmed MC simulation in order to study acceptance and so on.
Detector only downstream part
![Page 3: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/3.jpg)
Overview(2)• Data sample (only 3 hours run used in this study)
– Mainly KL 30 6 – Energy measured by CsI calorimeter– Only neutral decay mode ( no spectrometer !!)
• MonteCarlo Simulation – Input KL beam (avr. P = 4GeV@Detector)– GEANT3 based Detector simulation
• Method– Reconstructed KL events
• Simple clustering (typically 3x3)• Reconstructed KL 30 with good vertex chi square
• 0.46 < MKL (GeV) < 0.53
KL momentum (GeV/c)
Generated by Beam line Simulation
![Page 4: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/4.jpg)
• Invariant mass of 6 # of KL Data/MC = 0.74KL->30 Data vs MC
Compare in 0.5 GeV energy bin
DataMC
• Wrong KL momentum distribution
Is the problem due to input KL momentum or
detector response ?
![Page 5: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/5.jpg)
KL->30 Data vs MC( 0.5GeV EKL bin)• Vertex Z distribution
– Sensitive to energy response
DataMC
DataMC
![Page 6: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/6.jpg)
• Minimum distance between clusters– Sensitive to energy response
DataMC
DataMC
KL->30 Data vs MC( 0.5GeV EKL bin )
![Page 7: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/7.jpg)
KL->30 Data vs MC( 0.5GeV EKL bin )• Cluster Hit Position (distance from the
center)– Sensitive to detector response
DataMC
DataMC
![Page 8: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/8.jpg)
Reweighted input KL momentum• MC は、よく detector を再現しているように見
える。• 実験で得られた KL momentum を、
MC の input KL momentum に反映させてみる。 DataMC
KL momentum is softer than estimated one. consistent with results of the Beam survey.
![Page 9: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/9.jpg)
KL->30 Data vs MC( reweighted )– Vertex Z match well– Cluster Hit position ( Rij ) still match
DataMC
DataMC
![Page 10: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/10.jpg)
KL->30 Data vs MC (reweighted)• PT
2 distribution is not consistent with MC.
• Beam shape D 2
( ) is not also consistent with MC. MC does not reproduce KL Beam shape well.
DataMC
22 yvertexxvertexD
![Page 11: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/11.jpg)
Summary• E391a detector is working well.• We can get good KL pencil beam.
• Detector & KL beam understanding using KL->30
– KL Beam•Yield Data/MC = 0.74•Momentum distribution
– Softer than estmated distribution– It is consistent with the results of the beam survey– After reweighting Data vs MC match well
•Beam shape– MC did not reproduce well. It needs more study.
– Detector• More detail study in the next step
![Page 12: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/12.jpg)
予備 OHPs
![Page 13: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/13.jpg)
KL->30 Data vs MC( reweighted )– Cluster Hit position ( Rij ) still match– Minimum distance between clusters still match
![Page 14: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/14.jpg)
KL->30 Z reconstruction
1. Make 3 gamma pairs from 6 clusters– Resonstruct Z vertex by asusuming M0 from 2
2. Calculate vertex chi square for 15 combinations of 30
3. Select best combination for KL candidate
0
12
22 ).(
N
i Z
ii
i
ZZavr
2χ
![Page 15: Understanding of the E391a Detector using K L decay](https://reader038.vdocuments.us/reader038/viewer/2022102808/56812b07550346895d8ee7be/html5/thumbnails/15.jpg)
KL->30 Data vs MC( reweighted )– Beam shape ( vertex X,Y )
DataMC
TargetCsI
TargetEOC ZZ
ZZvertexXXvertex
...