...
- divide into 4 jet / 6 jet topologies
- apply preselection depending on topology
- train/apply TMVA's
- validate with cut table
- check remaining backgrounds
^variables_id_c1.png|||\ ^variables_id_c2.png|||\ ^variables_id_c3.png|||\
...
Preselection variables:
...
^variables_id_c1-nopresel.png|||\ ^variables_id_c2-nopresel.png|||\ ^variables_id_c3-nopresel.png|||\
nu nu H only:
^variables_id_c1-4jonly.png|||\
| Code Block |
|---|
--- Classifier ( #signal, #backgr.) Optimal-cut S/sqrt(S+B) NSig NBkg EffSig EffBkg
--- --------------------------------------------------------------------------------------------------
--- Cuts: (172.67554, 53762.5) 0.0350 2.42407 5.876106 0 0.03403 0
--- Likelihood: (172.67554, 53762.5) 0.7786 0.910341 161.7188 31396.51 0.9365 0.584
--- Fisher: (172.67554, 53762.5) 0.0942 5.84493 34.16319 0 0.1978 0
--- BDTG: (172.67554, 53762.5) 0.4529 4.48342 20.10101 0 0.1164 0
--- BDT: (172.67554, 53762.5) 0.1717 5.33182 28.42833 0 0.1646 0
--- --------------------------------------------------------------------------------------------------
|