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Published byBritton Benjamin Sanders Modified over 8 years ago
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Measurement of the branching ratio of the K + decay Update E. De Lucia, R. Versaci on behalf of the charged kaon group
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Home works (Hausaufgabe) 1.FILFO correction 2.T3 FILTER correction 3.Efficiency checks 4.Time stability 5.Trigger with not overlapping sectors
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FILFO correction C FILFO = 1.00006 0.00032 (DATA) C FILFO = 0.99967 0.00015 (MC) Using the same set of runs for DATA and MC : In agreement within the errors BR FILFO = 3x10 -4 BR(K ( )) BR x C FILFO
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T3FILTER correction Using the whole DATA sample: BR(K ( )) BR x C T3 C T3 = 0.9995 0.0003 BR T3FILTER negligible O(10 -6 )
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Efficiency evaluation On the sample selected using ECAL we look for a signal event ( i.e. K + reconstructed in the DC FV) using the same event selection used for the signal sample =
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Efficiency checks (I) Remember memo #3x10 2 The systematic uncertainties on the efficiency are: 1) Low energy cut (LEC) BR = 5 x 10 -4 (from 10 to 40 MeV) 2) High energy cut (HEC) BR = 2 x 10 -4 (from 70 to 90 MeV) standard cuts: LEC = 20 MeV HEC = 80 MeV pollution of the EMC sample 1.2% p*(MeV/c) Calorimeter sample only true K True K
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Efficiency checks (II): pollution/compensation p*(MeV/c) LEC = 40 MeV HEC = 90 MeV 76% generated True K ( ) pollution 3 % Calorimeter sample only true K True K LEC = 10 MeV HEC = 90 MeV 25% generated True K ( ) pollution 0.7 %
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Efficiency checks (III) Changing the cuts for the selection of the EMC sample we observe the following maximal variations: DATA efficiency 0 0.3074 (2) 0.3169 (3) 0 3% Pollution in EMC sample 0.7 % 3 % Correction ( CORR ) 0.98008 1.0085 CORR 3% For each EMC sample: 1.evaluate the MC corrections CORR 2.apply CORR to the efficiency 0 measured on EMC DATA sample = 0 x CORR Then the initial 0 3% becomes O(10 -4 ) BR 5 x 10 -4 Changing EMC sample : Pollution and compensation have different behaviours!!!! Pollution and compensation have different behaviours !!!!
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Efficiency checks (IV): Double ratio MC/Data The double ratio stability is related to our sensitivity to changes of the pollution/compensation effects N.B. set1 and set2 applied on independent DATA samples set1 : LEC = 20 MeV HEC = 80 MeV set2 : LEC = 20 MeV HEC = 85 MeV 2 = 90.33/85 A0 = 1.007 0.008
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Efficiency checks (IV): Double ratio MC/Data The double ratio stability is related to our sensitivity to changes of the pollution/compensation effects N.B. set1 and set2 applied on independent DATA samples set1 : LEC = 20 MeV HEC = 80 MeV set2 : LEC = 25 MeV HEC = 80 MeV 2 = 85.43/85 A0 = 0.9011 0.007
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Checking various distributions for the kaon tof (ns) KINE Calorimeter sample True K
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Checking various distributions for the kaon p K (MeV/c) KINE REC Calorimeter sample True K
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Checking various distributions for the decay vtx Rxyz (cm) Rxy (cm) KINE Kaon interacting with the inner DC wall Kaon interacting with the inner DC wall Calorimeter sample True K
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Checking various distributions for the secondary p LAB (MeV/c) KINE p LAB (MeV/c) KINE REC Kaon stopped in the inner DC wall, Decay at rest then Plab = 236 MeV Kaon stopped in the inner DC wall, Decay at rest then Plab = 236 MeV Calorimeter sample True K
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Checking various distributions for the secondary p LAB (MeV/c) MC-Data comparison DATA MC Kaon stopped in the inner DC wall, Decay at rest then Plab = 236 MeV
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Checking various distributions for the secondary cos REC KINE cos Calorimeter sample True K
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Checking various distributions for the secondary p T (MeV/c) L(cm) REC Calorimeter sample True K
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The “missed” time stability plot
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BR K + = 0.6366 0.0009 (stat.) 0.0012 (syst.) PDG fit = 0.6343 Chiang = 0.6324 Results
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V us = 0.2223 (25) Results BR K + = 0.6366 0.0009 (stat.) 0.0012 (syst.) f K /f =1.210±0.014 (MILC Coll. hep-lat/0407028) Following the method from Marciano hep-ph/0406324 : Vud=0.9740±0.0005 (superallowed -decays)
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