Optimizing Event Reconstruction Strategy for High-Energy Physics Analysis
Explore the optimization of event reconstruction strategy, focusing on higher detection efficiency, good signal resolution, and low background mis-combination. The study utilizes data sets, general event selection techniques, and signal yields analysis to enhance results in high-energy physics experiments.
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0? 2S with ? 2S ?+??/? ?0 ?? Wanyi Zhuanga, Shuangshuang Zhangb, Yahui Zhaoc, Xueqiang Yand aFDU bSDU cHNNU dIHEP Belle II China Winter School 2024 Nov. 29 2024
Outline . . Motivation . . Data sets . . General event selection . . Background study . . Signal yields . . Summary 1
Motivation . . optimizing reconstruction strategy: higher detection efficiency Good signal resolution Low mis-combination background . . Background study: according to GenericMC . . Fit method: according to GenericMC and signal MC 2
Data Sets . . release-08-01-08 Basf2 version: Decay card: . . Generic MC sample: Type: Run-independent MC Energy: on resonance Integrated luminosity:40/fb . . Signal MC sample Event number: 106 Decay mode: ?0 ?? 0? 2? ,? 2? ?+? ?/?, ?/? ?+? /?+? 3
General event selection . . Decay mode: 4? ?0 ?0;?0 ?? 0? 2S , ? 2S ?+? ?/?;?/? ?+? /?+? . . . . Charged track: Pion identification likelihood ratio: |dr| < 0.5 cm & dz < 2.0 cm clusterNHits>1.5 thetaInCDCAcceptance ????????????= ?/( ?+ ?) 0.5 dr: transverse distance with respect to IP for a vertex. dz: vertex or the point of closest approach(POCA) in case of tracks z with respect to IP. 4
dr distribution 4
General event selection(2) . . 0meson selection: ?? stdKshorts(using standard list to reconstruct) GoodBelleKshort>0 Invariant mass window: 490 MeV/?2< ??? 0 < 506 MeV/?2 . . ?/? meson selection : A pair of oppositely-charged lepton tracks (?+? /?+? ) ???????????> 0.5,????????????????????> 0.5 ?????/? < 2.0Gev/c 3.03 GeV/?2< ??+? < 3.13GeV/?2 . .Continuum suppression: ?2 < 0.5 5
0and ?/? mass distribution ?? 3.03 GeV/?2< ??+? < 3.13GeV/?2 490 MeV/?2< ??? 0 < 506 MeV/?2 4
General event selection(3) . . ?(2?) meson selection: Invariant mass window: |??+? ?/? ??/?| < 0.009 MeV/?2 ??+? ?/?is defined as ??(2?) ??+? + ??/?,??/?= 3.686 GeV/?2 . . ?0meson selection : ???> 5.20GeV/?2 ? < 0.3 GeV Tree fit: chiProb_rank < 10 Mbc: beam constrained mass. deltaE: difference between E and half the center of mass energy. 5
Cut flow efficiency Selection 22.79% ?????? ?? 22.79% ??????????? ??? 22.79% ???2?_????_???_?? 22.49% ??????_?????? 22.21% ????_? 21.47% ???2?_? 19.03% ?_?0_? 18.34% ? ?????_???? 18.34% ?2 18.34% ??? 18.34% ?????? 18.34% ?????????????? ?????????? Signal mis-reconstruction efficiency=5.23%
Signal yield Signal shape: Exclusive MC shape Gaussian function Non-peak background: Argus function ????= 281 23 ??? ???? ???? = 265 22 Mean value of Gaussian function: 1.25 0.25 10 3GeV/?2 Sigma value of Gaussian function: 1.29 0.51 10 3GeV/?2 9
Summary . . Get reconstruction strategy and event selection criteria . . Get signal detection efficiency . . Get fit method (based on GenericMC) Group member contribution: Wanyi Zhuang: MC PPT Shuangshuang Zhang: MC PPT Yahui zhao: MC PPT XueqiangYan: MC PPT 10
