First tried to reproduce Jeff’s cuts described in his talk at Oxford (minos-doc 1409):

1) Jeff’s cuts First tried to reproduce Jeff’s cuts described in his talk at Oxford (minos-doc 1409): For this, used tracks in fiducial volume (1m<vtxz<5m & vtxr < 1.0m), and: 1) q/p > 0 2) Fit.pass + chi2<ndf <10 + UVasym < 6 3)|(q/p)/(σ q/p)|<0.3 4) Prob(chi2,ndf)>0.1 5) Dave’s PID > 0.4 Jeff’s cuts of Oxford Results in next slide…

All neutrinos Selected as antineutrinos Background Overall efficiency: 52.486% Overall purity: 98.21% Background composition

2) Our selection Jeff’s cuts work very good but for our analysis we cannot tolerate the background.  Worked on improving the NuBarPID ! The first improvement came out by noticing that separation is better for longer events: (q/p) / (σ q/p) 0 < Planes < 30 30 <= Planes < 60 60 <= Planes < 90 90 <= Planes < 120 120 <= Planes < 153

So tried the following 2D PDFs for the NuBarPID (in addition to #planes, y, and dcosz) neutrinos antineutrinos Note: Every “row”, or slice of planes (for instance from 0 to 30) is normalized to unity, as seen in previous slide. This is to keep the effect of the #planes PDF separate (and not be E dependent)

nu nubar • An improvement is observed ! After Some events are really well separated ! Purity Here the efficiency does not include the basic cuts. Before After Efficiency

In addition, David J. found out that cutting on the difference between the momentum from curvature and the momentum from range can help us reduce the background.  Tried this as an extra cut in the NuBarPID: • Used NuBarPID with 4PDFs: 1) the 2D q/p/(σ q/p) vs. planes histogram 2) planes 3) y 4) cosz • The pdfs were made with no cuts required, except the basic ones: At least 1 track Trk.fit.pass==1 U-Vasym < 6 /ndf < 20 • Plots of Purity vs. Efficiency were made. The efficiency now includes all cuts (including the basic track quality ones, and the one). In other words, efficiency is measured with respect to all CC nubar events.

NuBarPID and - No extra cut - x=1.0 - x=0.5 - x=0.3 - x=0.15 An improvement is seen, but it’s not enough !

Among other attempts, tried combining the NuBarPID with one of Jeff’s cuts, the Prob( ,ndf) > 0.1 one: NuBarPID and: - No extra cut - x=0.15 cut - Prob(chi2,ndf)>0.1 cut  BINGO !

Interesting ! Separation looks different when calculating doing the PDFs with and without the fit significance cut: PDFs done without fit sig. cut PDFs done with fit sig. cut nu nubar nu nubar NuBarPID NuBarPID In both cases the fit significance cut is applied. The difference is whether or not the PDFs were calculated with it or not. At the end, not much difference in separation even if shape above is so different Purity PDFs done with fit sig. cut PDFs done without fit sig. cut Efficiency

Tried combining NuBarPID + fit significance cut + cut: Purity nu nubar NuBarPID + fit sig. + prange cut NuBarPID + fit sig. NuBarPID Efficiency It actually works slightly worse ! Will stick to NuBarPID + fit significance. Note: PDFs were calculated with all corresponding cuts included.

From now on always included fit significance cut (among all others) when calculating the PDFs.  Now, need to see what happens as a function of energy. Make a NuBarPID cut at 0.7 and see what happens: NuBarPID > 0.7 puts you here Purity Efficiency

All neutrinos Selected as antineutrinos Background If make cut at NuBarPID>0.7 find: Overall efficiency: 50.21% Overall purity: 99.48%

Jeff’s cuts NuBarPID + fit sig. cut at 0.7  How does this cut at 0.7 compare to Jeff’s cuts? Purity Efficiency What if we crank it up a little more? See next slides…

All neutrinos Selected as antineutrinos Background If make cut at NuBarPID=0.75 find: Overall efficiency: 48.52% Overall purity: 99.63%

All neutrinos Selected as antineutrinos Background If make cut at NuBarPID=0.80 find: Overall efficiency: 46.67% Overall purity: 99.73%

First tried to reproduce Jeff’s cuts described in his talk at Oxford (minos-doc 1409):