B-tagging meeting overview Li bo Shandong University 1 outline Purpose information on b-tagging studying The b-tagging meetings mainly deal with Trigger studies for b jets The performance of b-tagging B-tagging calibration The validation of software release 2 The trigger study for b-jets Correlation of b-jet trigger at L2/EF with offline b-tagging Various b-jet triggers rate reduction 3 Correlation with offline taggers Aims at offline Єb =60% The plot shows the working points of L2 and EF are ~78% and ~68% 4 Rate reduction of different b-jet triggers The rate reduction is almost constant with different Pt 5 The b-tagging performance The b-tagging performance b-tagging efficiency rejection of light/c/tau jet Study on b-tagging performance 1 Studies for the various jet algorithms 2 Impact from vertex reconstruction 3 Impact from tracking performance 4 Measurement of mistag-rate 5 Misalignment 6 1 Studies for the various jet algorithms Requirement that jet has more than one track makes b tagging procedure more robust against jet reconstruction algorithms 7 2 Impact from primary vertex reconstruction Sources of impacts: PV reconstruction efficiencies PV resolutions Pile up 8 9 2 Impact of Secondary vertex reconstruction on b-tagging 2 Impact from secondary vertex reconstruction Source of impacts: SV reconstruction efficiencies SV reconstruction fake rate SV resolution 10 Impact on b-tagging 11 3 Impact from tracking performance Sources of impacts: impact parameter resolution tracking efficiency and fake rate 12 Impact on b-tagging performance 13 Mis-tagging rate 4 4Mis-tagging Definition: the ratio between the number of light jets tagged as b-jet and the number of light jets Sources leading to mis-tagging: finite resolution of the reconstructed track/vertex parameters Tracks/vertices from the long-live particles that decay in jets. 14 Measurement Method: 1. 2. 3. 4. taking negative weight of all jets inverting to positive to reperesent positive weight distribution of light jets measure the mis-tagging rate with MC, correction for the long-live meson presence in the light jet and heavy flavor jet contribution. Other method: using templates 15 Result of mistag rate The measured mistag rate is almost close to the actual mistag rate 16 5 Mis-alignment Misalignment sets: Random 10 Random 5 17 18 19 20 The b-tagging calibration Purpose: develop methods to get b-tagging efficiency with data Method: using di-jet events Pt-rel System 8 using ttbar events Tag couting Control sample 21 Dijet event Pt-rel method Muons in μ-jet have different Pt distributions w.r.t jet axis originating from different flavor q/g use templates for b, c and light jets to determine their relative fractions 22 Pt-rel method Fraction of b-jets can be extracted from fitting to templates, before tagging (Fb ->u) and atfer tagging (Ftag b->u) F tag b u efficiency calculated as 23 System 8 method Two sample with different heavy flavor content Two independent taggers Apply taggers to both samples jets passing two taggers both Write a system of 8 equations to solve the tagging efficiency 24 Pt-rel System8 both methods have good result up to 80Gev(jet Pt ) improvements to system 8 method: use different release like r13 : improvements to performance of taggers use different samples and taggers 25 Using ttbar event count number of events with 1,2,3 b-tags(lepton+jet) or 1,2 b-tags (delepton) likelihood fit gives b-tag efficiency 26 ttbar results 27 Methods for b-jet sample selection topological reconstruct all combinations, apply mass windows kinematic apply kinematic fit assuming mbjj and mblv=mtop, and select combination with best fit x2 likelihood use jet/lepton energy and angular information 28 29 B-tagging validation 30 31 Summary The studies for b-jet triggers The studies for b-tagging performance the impact of vertex and tracking on b-jet performance the measurement of mistagging rate misalignment and error scaling The studies of b-tagging calibration measurement of b-tagging efficiency with di-jet and ttbar event b-jet sample selection with three methods 32