CC PID TUFTS WIW 62006 1 D Jason

CC PID TUFTS WIW 6/2006 1 D. Jason Koskinen

Motivation U of M hand scan of 1 e 20 data set had 10 events that passed all fiducial, beam quality, timing etc. . . , but failed the current CC PID – 3 events failed due to Tracker/Fitter errors – 2 -3 were questionably CC events – 4 events were recognizable CC events The excluded sample was short track, <20 planes, events – Event. Length parameter is so harsh on short track CC events that the other two parameters can rarely pull it back CC TUFTS WIW 6/2006 2 D. Jason Koskinen

TUFTS WIW 6/2006 3 D. Jason Koskinen

TUFTS WIW 6/2006 4 D. Jason Koskinen

Idea Trk Direction Either 'enhance' or replace Event. Length parameter by incorporating shower profile Project shower hits onto Track direction line and create variable(s) using new position of hits – Find the position of the PH weighted mean – Divide position of mean by track length TUFTS WIW 6/2006 5 D. Jason Koskinen

Data/Cuts R 1. 18. 2 Carrot Monte Carlo – 180861 events Normal Data cuts – DCos. Z > 0. 6, r 2 < 14. 0 m 2, . 5 m<trk_vtx<14. 3 etc. . . Cuts to make life easy TUFTS WIW 6/2006 – Number of showers = 1 – Number of tracks = 1 6 D. Jason Koskinen

Newest Bestest Highest density CC events is separated from highest density NC events – Event. Length parameter highest density NC/CC overlap TUFTS WIW 6/2006 7 D. Jason Koskinen

End TUFTS WIW 6/2006 8 D. Jason Koskinen

TUFTS WIW 6/2006 9 D. Jason Koskinen