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Published byJoella Estella Newton Modified over 9 years ago
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Emmanuel Busato Jet/Met meeting 12/19/2002 Goal : Correlation between f90 and other variables for 0.5 cones ? - for jets constructed without CH - for jets constructed with CH Run 167257 ( 33 000 events) reconstructed with p13.02.00 Update on noisy jet study
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Correlations for jets constructed without CH Keep only jets that pass standard ID cuts 0.05 < EMF < 0.95 n90 > 1 HotF < 10 No trigger requirement
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EMF and FHF vs f90 These jets have FHF and EMF identical to jets with smaller f90. Noisy jets come from both EM and FH part of the calo
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Apparently no phi dependence. High f90 jets are mostly in ICR and CC. Phi and Eta vs f90 Phi Eta F90 Eta F90>0.8 F90<0.8
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EtaW and PhiW vs f90 EtaW PhiW F90 Jets with EtaW or PhiW bigger than 0.3 are mostly « bad jets »
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Nitm and n90 vs f90 « bad jets » have f90 big because n90 is big. Few of them (10 ) are made of a large number of towers (>80) and come from merging. What about split/merge for other jets ? necessarily merged jets (R = 0.5 cones only have 80 towers)
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Splitting and merging No split/merge Only merged Only splitted - All kind of jets contribute to low f90 population (f90<0.8) - Only merged jets contribute to the big f90 population (f90>0.8)
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Correlations for jets constructed with CH Correlation plots look very similar to those for jets without CH ( http://www-d0.fnal.gov/~busato/plots/noisy_jets_study/with_CH/ ) How does f90 behave with split/merge and CHF ? CHF<0.1 0.1<CHF<0.4 CHF>0.4 No split/merge Only merged jets Only splitted jets
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only merged jets see their distribution change as CHF increases (proportion of jets with f90<0.7 decreases) If we assume that jets with CHF>0.4 are bad, f90 depends more on whether a jet has merged than on its quality (good or bad) For CHF>0.1 : f90 distribution gives two distinct populations of jets, the first one with f90 corresponding to jets without merging the second one with f90 corresponding to merged jets
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