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Energy spectrum MeV  DATA (solid) vs MC (dots)   spectrum    

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Presentation on theme: "Energy spectrum MeV  DATA (solid) vs MC (dots)   spectrum    "— Presentation transcript:

1 Energy spectrum MeV  DATA (solid) vs MC (dots)   spectrum    

2 Energy spectrum MeV  DATA (solid) vs MC (dots)   spectrum    

3 MeV Energy spectrum  DATA (solid) vs MC (dots)   spectrum    

4 Kcrash DBV-18 (M.Antonelli, T.Spadaro, M. Testa)   CRA ( 100 MeV )  CRA ( 200 MeV )  CRA ( 300 MeV ) data    MC old    MC new    (last-1) (0.996) (0.82) (0.62) MC new    (last) (1.07) (1.02) (0.92) Data /MC comparison for Kcrash efficiency given a K S     tag

5 Effect of hardware effi on      acceptance old MC:  new MC:  t0 from pions given a K S      tag t 01 OR t 02 t 01 =t 02 t 01  t 02 only one t 0 data     MC old     MC new    

6 Effect of accidentals on      acceptance Stolen-t 0 probability r T (cm)  K3K3 K e3     acceptance computed with (blue filled dots) and without accidentals (blue open dots): overall 1% loss DC EMC ? K e3 K  3               reg nucl

7 Stolen-t 0 : data vs MC comparison (work in progress) data MC  t 0 (ns) Probability of accidental t0 evaluated on K S     + K L neutral vtx with L K >100 cm, using a)  t 0 = t 0 golden - t 0 tracks <0 (purity ~ 0.717) b) t 0 clu  K S and K L clusters (purity 0.723) data MC a) (8.7  0.1) (12.9  0.1) b) (8.2  0.1) (14.5  0.1) % of accidental clusters?

8 MeV MC (solid) data (dots) Energy spectrum  t 0 < 0 Need to check the energy spectrum in slices of  t 0 to see if there is a sizeable contribution of residual  splittings

9 Systematics in prompt clusters counting E CRA accidentals K L 1 pro 100 MeV   MeV   MeV   events with  3 prompts AND Kcrash data MC MC ( trigger unbiased) (  clu (data)/  clu (MC) corr.) 3 pro    pro    pro ( 7.3  0.1) ( 6.2  0.1) ( 6.0  0.1)  6 pro (1.2  0.2) (1.5  0.2) (1.3  0.2) data vs MC comparison (E CRA >300 MeV) background

10 Accidental vs splittings in 5 prompt events dataMC couple of photons with minimum distance: E min vs dist f acci (data) =  accidentals splittings accidentals splittings f acci (MC) = 0.42  0.01 cm MeV prob(split)= f split n 5 / (4 n 4 ): (2.5  0.1) (1.4  0.1) data MC


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