Optimise Lc2phh lines

Add a new Lb0ToLcpMumNu_LcpToPpKmPip line and tune the promptly produced LcpToPpKmKp and LcpToPpPimPip lines.

No change of BW of all charm lines.

The total rate of all charm lines decreased from ( 5.988000 +- 0.0750296)% to ( 5.984000 +- 0.0750061)%.

The rate of new (modified) lines are listed in the following table:

Line Efficiency before tuning Efficiency after tuning
Hlt2Charm_LcpToPpKmKpDecisionWithOutput (0.009000000 +- 0.00299986)% (0.01100000 +- 0.00331644)%
Hlt2Charm_LcpToPpPimPipDecisionWithOutput (0.03400000 +- 0.00582996)% (0.03200000 +- 0.00565595)%
Hlt2Charm_Lb0ToLcpMumNu_LcpToPpKmPipDecisionWithOutput (0.003000000 +- 0.00173202)%

Changes:

  • Add a new Lb0ToLcpMumNu_LcpToPpKmPip line, which can be used as the control channel in the ACP measurement of semileptonic LcpToPpKmKp and LcpToPpPimPip decays. The selections are similar as the existing Hlt2Charm_Lb0ToLcpMumNu_LcpToPpKmKp and Hlt2Charm_Lb0ToLcpMumNu_LcpToPpPimPip lines.
  • Tune the Hlt2Charm_LcpToPpKmKp and Hlt2Charm_LcpToPpPimPip lines:
    • Loosen these cuts for the Lc (F.SUM(F.PT)>2.5GeV, F.CHI2DOF<9), as the Run2 analysis shows more than 10% loss of signal with the default tight cuts.
    • Use the slightly smaller mass window for Lc ([2211, 2362]MeV) as that in Run2.
    • Tighten the PID_P cut for proton. Since we plan to use two channels to cancel the PID asymmetry of proton for both the Delta ACP measurement between two signal channels (LcpToPpKmKp and LcpToPpPimPip) and ACP measurement of one signal channel (using the Hlt2Charm_LcpToPpKmPip_PR line as the control channel), there is no problem if we apply the same PID cuts for proton for two channels. BTW, the PID_P>10 cut is much looser compared to the final PID cut in Run2 analysis (PROBNN_P>0.85).
    • Align these cuts for the Lc (bpvdira_min, mipchi2_min_at_least_one, mipchi2_min_at_least_two, bpvltime_min) as those used in Hlt2Charm_LcpToPpKmPip_PR line. These cuts have high efficiency on the Run3 sweighted data.

cc @nanyang , @wbqian , also cc @msaur , @ziyiw

Edited by Zewen Chen

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