I looked at the delta(t) resolution function for signal and background
events.
Signal Events (used b0 signal MC -> fit for signal only, no background
contamination)
| # events in fit | Category | bias1 | width1 | bias2 | width2 | fraction1 |
| 2615 | total | -.10 | .69 | -.315 | 2.61 | .77 |
| 1240 | kaon | -.11 | .70 | -.228 | 2.39 | .77 |
| 406 | lepton | -.07 | .59 | -.243 | 2.43 | .70 |
| 391 | net1 | -.05 | .60 | -.363 | 2.30 | .76 |
| 578 | net2 | -.13 | .77 | -.539 | 3.44 | .80 |
Signal Event pull fits
| # events in fit | Category | bias1 | width1 | bias2 | width2 | fraction1 |
| 2611 | total | -.25 | 1.54 | -.70 | 5.56 | .82 |
| 1239 | kaon | -.27 | 1.52 | -.90 | 5.53 | .83 |
| 405 | lepton | -.40 | 1.92 | .69 | 7.69 | .85 |
| 391 | net1 | -.15 | 1.20 | -.58 | 4.24 | .67 |
| 576 | net2 | -.21 | 1.35 | -.82 | 4.28 | .78 |
Background plots:
| # events in fit | Category | bias1 | width1 | bias2 | width2 | fraction1 |
| 440 | total | -.23 | .89 | .28 | 3.0 | .81 |
| 226 | kaon | -.18 | .83 | -.28 | 2.9 | .81 |
| 27 | lepton | -.28 | .61 | .23 | 3.0 | .47 |
| 65 | net1 | -.32 | 1.1 | 2.0 | 1.9 | .85 |
| 122 | net2 | -.23 | .90 | .44 | 3.1 | .83 |
Background pulls
| # events in fit | Category | bias1 | width1 | bias2 | width2 | fraction1 |
| 440 | total | -.42 | 1.9 | .48 | 7.9 | .92 |
| 226 | kaon | -.51 | 1.9 | 2.6 | 6.6 | .93 |
| 26 | lepton | -1.4 | 1.6 | -.31 | 3.2 | .43 |
| 65 | net1 | -.56 | 2.3 | 1.0 | 1.8 | .97 |
| 123 | net2 | -.21 | 1.5 | -5.0 | 12.0 | .93 |
Background residuals
| 573 | fake_total | -.11 | .80 | -.41 | 3.3 | .70 |
| 69 | flip_total | -.59 | 1.1 | .74 | 4.5 | .77 |
Background pulls
| 566 | fake_total | -.18 | 1.5 | -1.1 | 7.5 | .67 |
| 68 | flip_total | -.33 | 1.1 | -1.4 | 3.2 | .64 |
Pending more information on the lepton tagging category, it seems reasonable to use the same resolution funtion for the different tagging categories. This is very useful because: