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Top Mass Measurements @ the Tevatron Kirsten Tollefson Michigan State University 3 rd Top Workshop @ Grenoble CDF

Top Mass Measurements @ the Tevatron

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CDF. Top Mass Measurements @ the Tevatron. Kirsten Tollefson Michigan State University 3 rd Top Workshop @ Grenoble. Why Measure the Mass.  m t 2.  ln(m H ). July 2008. 84+/-30 GeV. History. Measuring the Mass ain’t Easy. What an experimentalist sees…. What a theorist sees…. - PowerPoint PPT Presentation

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Top Mass Measurements @ the Tevatron

Kirsten TollefsonMichigan State University

3rd Top Workshop @ Grenoble

CDF

K. Tollefson, 3rd Top Workshop @ Grenoble 2

Why Measure the Mass

October 25, 2008

ln(mH) mt2

84+/-30 GeV

July 2008

K. Tollefson, 3rd Top Workshop @ Grenoble 3

History

October 25, 2008

1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 20080

50

100

150

200

250

From the EW Fits

pp colliders limit

e+e- colliders limit

CDF Run1

D0 Run1

Run1 World Average

D0 Run2 average/best result

CDF Run2 best measurement

Current world average

Year

To

p M

as

s (

Ge

V/c

2)

K. Tollefson, 3rd Top Workshop @ Grenoble 4October 25, 2008

What a theorist sees… What an experimentalist sees…

Challenges: • Combinatorics• Jet Energy Scale (JES)

Solutions: • Sophisticated analyses• In-situ Wjj calibration

(more on this later)

Measuring the Mass ain’t Easy

K. Tollefson, 3rd Top Workshop @ Grenoble 5

Philosophy in Run II

October 25, 2008

March 2007

Mtop = 170.9 +/- 1.9 GeV/c2

using up to 2 fb-1

K. Tollefson, 3rd Top Workshop @ Grenoble 6

Non-uniform response

Diff. responseof 0p /pi+-Non-linearity

Shower, fragmentation

Jet Energy Correction

Relative using dijet balance: to make response uniform in

Absolute correction using dijet MC tuned for single particle E/P, material, and fragmentations: due to non-linear and non-compensating calorimeter

Out-of-Cone : due to energy outside cone

Multiple ppbar interactions: pileup

Underlying events due to spectators

October 25, 2008

Jet Energy Scale (JES) Review

See M. D’Onofrio’s talk from Thursday

K. Tollefson, 3rd Top Workshop @ Grenoble 7

In-situ JES Measurement

October 25, 2008

Ejet=Emeas(1+ JES *JES(Pt))

Mjj

--- Out of cone--- Absolute

K. Tollefson, 3rd Top Workshop @ Grenoble 8

Combination @ ICHEP ‘08

October 25, 2008

172.4±1.2 GeV

Run

IEa

ch c

hann

el R

un II

K. Tollefson, 3rd Top Workshop @ Grenoble 9October 25, 2008

Reconstructing the MassSee NWA talk by Joerg Meyer from Grenoble workshop in 2007

See talk by Marion Arthaud from Grenoble workshop in 2007

Wojciech Fedorko - Moriond EW, YSF 10

The template techniqueMC tt

backgroundsEvent reconstruction

DATA Event reconstructionLikelihood

Fit

03/04/2008

Generic Template Method

L+JETS

DILEPTON

SIG

SIG

BCK

BCK

K. Tollefson, 3rd Top Workshop @ Grenoble 11

• Simultaneous fit in 2 channels :– L+jets and Dilepton

• In-situ JES calibration applied in both channels

• No assumptions: – Correlations in

systematics– On likelihood shapes

October 25, 2008

DILEPTON

L+JETS

New Twist on Template Method

PRD submitted for 1.9 fb-1 result: hep-ex. 0809.4808

K. Tollefson, 3rd Top Workshop @ Grenoble 12October 25, 2008

Mtop = 172.3 +/- 1.5 (stat.+JES) +/- 1.1 (syst) GeV/c2 = 172.3 +/- 1.9 GeV/c2

Template Results with 2.7 fb-1

Measurements in traditional manner (i.e. DIL no in-situ JES)

Comparable to L+jets Matrix Element analysis with 2.7 fb-1:Mtop = 172.2 +/- 1.3 (stat.+JES) +/- 1.0 (syst) GeV/c2

= 172.2 +/- 1.7 GeV/c2

Nick van Remortel, Elba Top08 1320.05.08

Generic Matrix Element Method

Normalization depends on mt includes acceptance effects

Probability to observe a set of kinematic variables x for a given top mass

Integrate over unknown q1,q2, y

f(q) is the probability distribution that a parton will have momentum q

dnσ is the differential cross sectionContains (LO) matrix element squared

t

t

W(x,y) is the probability that a parton level set of variables y will be measured as a set of variables x

bq’

q€

Psgn (x;mt ) =1

σ (mt )dnσ (y;mt )dq1∫ dq2 f (q1) f (q2)W (x,y)

• Maximal extraction of information, but phase space integration is very CPU intensive• Additional background probability term with varying levels of sophistication

R. Demina (Rochester, D0)

K. Tollefson, 3rd Top Workshop @ Grenoble 14October 25, 2008

Event selection optimized to yield smallest expected statistical uncertainty by means of neuro-evolution:• Start with random collection of neural nets• Determine analysis sensitivity of each network (fitness function)• Discard low sensitive nets and combine topology and node weights through mutation

Neuro-evolution optimization

Converged NNet

Ref: S. Whiteson and D. Whiteson, Proceedings of the Nineteenth AnnualInnovative Appllications of Artificial Intelligence Conference, p1819-1825, July 2007K. Stanley and R. Miikulainen, Evolutionary Computation 10(2):99-127, 2002

Optimizing Dilepton Selection

KEEP

K. Tollefson, 3rd Top Workshop @ Grenoble 15

• After event select use matrix element technique

• New event selection expected statistical uncertainty improvement of 20%

October 25, 2008

Mtop = 171.2 +/- 2.7 (stat.) +/- 2.9 (syst) GeV/c2

= 171.2 +/- 4.0 GeV/c2

Dilepton Results using 2.0 fb-1

Submitted PRL: hep-ex/0807.4652

K. Tollefson, 3rd Top Workshop @ Grenoble 16October 25, 2008

L+jets Template Method using Lxy

Mtop = 180.7 +15.5/-13.4 (stat) +/- 8.6 (syst) GeV/c2

PRD 75:071102 (2007)

Lxy = average transverse decay length of B-hadron

Lxy b-jet boost Mtop

Lxy

Lxy (mm)

Lxy (cm)

K. Tollefson, 3rd Top Workshop @ Grenoble 17October 25, 2008

L+jets - Combining Lepton Pt + Lxy

Combined Result using 1.9 fb-1:Mtop = 175.3 +/- 6.2 (stat.) +/- 3.0 (syst) GeV/c2

Pt of leptonfrom W decay

Mean±1σ

Mtop = 176.7 +10/-8.9(stat) +/-3.4(syst) GeV/c2 using Lxy alone

Mtop = 173.5 +8.9/-9.1(stat) +/-4.2(syst) GeV/c2 using Lepton Pt alone

Lxy

K. Tollefson, 3rd Top Workshop @ Grenoble 18October 25, 2008

Interesting Lesson…Lxy and Lepton Pt don’t depend on JES, right?

Systematics for Lxy result using 695 pb-1

Systematics for Lxy and LepPt

results using1.9 fb-1

Event selection was affected for jets near 20 GeV threshold cut

K. Tollefson, 3rd Top Workshop @ Grenoble 19October 25, 2008

L+jets - Template Method using SLTu

Mtop = 181.3 +/- 12.4(stat.) +/- 3.5 (syst) GeV/c2

Invariant mass of lepton from W and muon from semileptonic b decay

K. Tollefson, 3rd Top Workshop @ Grenoble 20October 25, 2008

Top Mass from the Cross Section

Using NLO+NLLMtop = 167.8 +/- 5.7 GeV/c2

D0 combined Xsec

K. Tollefson, 3rd Top Workshop @ Grenoble 21October 25, 2008

Systematic Uncertainties

1. JES (for non-in situ)2. Residual JES3. b-JES4. ISR&FSR5. PDF uncertainties6. Generator &

modeling7. Multiple interactions

(a.k.a Pile-up)8. Background

fraction & Shape9. Lepton Energy

scale

Current list: Working on:1. MC generators: checking

against NLO MCs2. Color reconnection –

more later

Systematics, Systematics, Systematics

Systematics for Template Analysis using 2.7 fb-1

K. Tollefson, 3rd Top Workshop @ Grenoble 22October 25, 2008

• Use jets from hadronic W resonance in messy ttbar environment to measure the average response of jets• In-situ measured JES does not fully measure shifts in JES scale along different parameter space curves (e.g. jet Pt and η)

• Even for in-situ measurement still evaluate JES uncertainty using standard procedure by shifting JES +/- 1σ• Must re-compute acceptances and shapes for both ttbar

and backgrounds

Residual JES

K. Tollefson, 3rd Top Workshop @ Grenoble 23October 25, 2008

• Derive JES from W daughter jets, but b jets carry most Mtop information

• Study 3 components due to difference between b and q jets:• Semi-leptonic branching ratios

• Move b anc c BRs together by +/- 1σ• B fragmentation uncertainties

• Reweight to LEP/SLD Bowler parameters• Calorimeter response uncertainties

• Shift b-jet energies by +/-1% then re-run PEs

JES for b quarks

K. Tollefson, 3rd Top Workshop @ Grenoble 24

Remaining issues

• Pythia 6.4 includes:– PT ordered showering which

allows for parton showers to interact with the underlying event

– new color reconnection models

• Study by Wicke and Skands on toy top mass measurement see ~1 GeV differences – see Wicke and Skands,

arXiv 0807.3248 and hep-ph/0703081

October 25, 2008

Color Reconnection Studies

K. Tollefson, 3rd Top Workshop @ Grenoble 25

Remaining issues

Virtuality ordered PS (old) PT ordered PS (new)• Results:

– Total spread +/- 1 GeV• CDF and D0 are both

working on studying these new Pythia tunes within our analysis methods

October 25, 2008

Color Reconnection Studies

K. Tollefson, 3rd Top Workshop @ Grenoble 26October 25, 2008

Many analysis techniques to measure top massTevatron still learning new tricksTest bed for methods for LHC

Mass is now known to 0.7% Need to be absolutely confident in the systematic uncertainties we quote – working hard on this Tevatron top mass results at: CDF -

http://www-cdf.fnal.gov/physics/new/top/public_mass.html

D0 - http://www-d0.fnal.gov/Run2Physics/top/top_public_web_pages/top_public.htm

and one final question…

Final Thoughts…

What mass are we measuring anyway?

K. Tollefson, 3rd Top Workshop @ Grenoble 27October 25, 2008

Backup Slides

K. Tollefson, 3rd Top Workshop @ Grenoble 28October 25, 2008

ISR & FSR

• Use dedicated Pythia samples with increased/decreased amount of ISR/FSR• Variations in pythia parameters are determined by studying dimuon events only sensitive to ISR• FSR parameters are varied within similar bounds, assuming the physics is similar• Extrapolation from DY data to ttbar events is large• Pythia parameters control mainly the soft part of FSR, might overlook hard (NLO type) radiation

Will try to pin down this uncertainty bandby using new data and adding higher mass points

Currently changed to samples where ISR and FSR are simultaneously increased or decreased

ISR/FSR

Un-ki Yang, Manchester 29

b-JES using Z(bb)• Di b-jets with Et>22 GeV, ΔΦ>3.0,Et

(3rd)<15 GeV using SVT impact parameter trigger at L2 • To measure data/MC b-JES

b-JES=0.974 ±0.011(stat) +-0.014+0.017 (syst)

Has not applied to b-JES in top mass • different cone size• different pt spectrum

K. Tollefson, 3rd Top Workshop @ Grenoble 30October 25, 2008

Problem

• Our MC simulates only one parton-parton interaction per event• We add additional min bias events according to our lumi profile and determine JES correction• In ttbar events our MC still underestimates the amount of multiple parton- parton interactions in each collision• How does this propagate into an Mtop uncertainty ?

B-Jet Et increases with ~200 MeVFor each additional vertex

• We find mean of ~2 vertices per event in our current 2 fb-1 dataset• We know that B-Jets affect Mtop most• We know how a 1% bjet ET increase affects Mtop

• Total effect is O(200 MeV) on Mtop

Multiple Interactions (Pile-up)