1 wbb alpgen gen5/6 d. hirschbühl, j. lück, t. müller, a. papaikonomou, t. peiffer, m. renz, s....
Post on 21-Dec-2015
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Wbb Alpgen Gen5/6
D. Hirschbühl, J. Lück, T. Müller,
A. Papaikonomou, T. Peiffer, M. Renz,
S. Richter, I. Schall, J. Wagner-Kuhr, W. Wagner
Ph
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by
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Training Wbb MC Gen5 vs. Gen6Same Training as ReplicaL4:
- Signal: Wbb Gen5 MC (ltop[0,3]b)- Bkg: Wbb Gen6 MC (btop[0,1,2,5,6,7]w)- Signal:Bkg 50:50- 2 Jets, 1+2 BTag combined- Composition of training tree includes:
- Alpgen X-sections- acceptances
- architecture: 15 hidden nodes- evts in training: about 17K
L4:- Gen6 L5 selection cuts- jets and MET L4-corrected
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Training Wbb MC Gen5 vs. Gen6Small, but significant separation
New Component comes fromadditional Alpen Xp samples
Gen 5 0p and Gen 6 0p are similar
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Input VariablesVariable Correlation to target
TOTAL 21%nLooseJets 18%nBTags 12%M (jj) 11%M (lnub) 8%ΔEta (j1,j2) 5%∑Eta (j1,j2) 5%Pt (lep) 3%QEta 3%Eta (W) 2%χ2 (2) 2%HT 2%KIT flavor separator 2%cos θ (lep,lj) 1%Et (j2) 1%log10 (Δχ2 (1,2)) <1%χ2 (3) <1%Eta (j1) <1%ΔEta (top,lj) <1%
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Training t-channel MC Gen5 vs. Gen6Same Training as ReplicaL4:
- Signal: t-channel Gen5 MC (ttop1o2o_match)- Bkg: t-channel Gen6 MC (stop01_02_match)- Signal:Bkg 50:50- 2 Jets, 1+2 BTag combined- architecture: 15 hidden nodes- evts in training: about 51K
L4:- Gen6 L5 selection cuts- jets and MET L4-corrected
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Training t-channel MC Gen5 vs. Gen6
Very small separationVariable Correlation
to target
TOTAL 11%nLooseJets 8%M (jj) 4%ΔEta (j1,j2) 4%KIT flavor separator 3%
all other <3%
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Training s-channel MC Gen5 vs. Gen6Same Training as ReplicaL4:
- Signal: s-channel Gen5 MC (ttop0o)- Bkg: s-channel Gen6 MC (stop00)- Signal:Bkg 50:50- 2 Jets, 1+2 BTag combined- architecture: 15 hidden nodes- evts in training: about 74K
L4:- Gen6 L5 selection cuts- jets and MET L4-corrected
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Training s-channel MC Gen5 vs. Gen6
Small separationVariable Correlation
to target
TOTAL 14%nLooseJets 10%M (jj) 7%nBTag 4%KIT flavor separator 3%
all other <3%