1. Update on final state study Jaewon Park University of Rochester MINERvA/Jupiter Group Meeting, July 25, 2007

2. 2 Number of reconstructed gamma tracks Reconstruction looks requiring c ertain minimum energy deposit But that doesn’t explain too muc h non reconstructed gamma. reco E(MeV) Not reconstructed Reconstruced Proton reco E(MeV) Gamma

3. 3 Tracker Filter Definition  View: X, U, or V  HitPlane: Plane that has hits Minimum number of HitPlanes  View that has largest number of hitPlanes > 3 hitPlanes  Sum of hitPlanes from the other two views > 3 hitPlanes Minimum number of hit in a view  Number of hits per view > 3 Maximum cluster size  Number of strips per plane in a cluster ≤ 4 (128)

4. 4 Why tracker so often failed on gamma? simplePatternRec said no input and sto p to proceed Top view U view readMinerva: Event 32 contains 30 ID hits in view 1 readMinerva: Event 32 contains 40 ID hits in view 2 readMinerva: Event 32 contains 26 ID hits in view 3 readMinerva: Event 32 contains 0 OD hits in view 1 readMinerva: Event 32 contains 0 OD hits in view 2 readMinerva: Event 32 contains 0 OD hits in view 3 procTrackView: Track 1 has 30 hits in view 1 makeCoordinates: 4 coordinates created procTrack: Track 1 has 4 coordinates in view 1 save3dCoords: Saving 4 track coordinates procTrackView: Track 1 has 40 hits in view 2 makeCoordinates: 12 coordinates created procTrack: Track 1 has 12 coordinates in view 2 save3dCoords: Saving 16 track coordinates procTrackView: Track 1 has 26 hits in view 3 makeCoordinates: 6 coordinates created procTrack: Track 1 has 6 coordinates in view 3 save3dCoords: Saving 20 track coordinates simplePatternRec: 0 input coordinates ignored SimplePatternRec: 0 coordinates skipped for track 1 XFLD: 87.5974503 -99.3506622 1218.51501 FIELD: 0.0144976145 0. 0.139292657 1.6805526 -5.40254688 -113.320663 12.1788721 kalmanSmooth: Inversion of pCov failed runFilter: smoothing failed procTrack: Kalman filter failed

5. 5 Why tracker so often failed on gamma? fitTrack.F fitTrack kalmanUtil.F sort3dCoords simplePatternRec runFilterokToFit initializeFiltersetupMaterial initializeStateVector coords loop kalmanStep initializeSmoothing smooth loop kamlanSmooth Get cov with omitted points Failed here. Need to look at