Top into Dileptons Dileptons Top into Stano Tokar Comenius - - PowerPoint PPT Presentation

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Top into Dileptons Dileptons Top into Stano Tokar Comenius - - PowerPoint PPT Presentation

RTN Workshop Barcelona 18-20 Dec 2004 Top into Dileptons Dileptons Top into Stano Tokar Comenius University, Bratislava With a kind permissison of the CDF top group Stano Tokar, slide 1 Talk Outline Talk Outline Top quark is treated


slide-1
SLIDE 1

Stano Tokar, slide 1

RTN Workshop Barcelona 18-20 Dec 2004

Top into Top into Dileptons Dileptons

Stano Tokar

Comenius University, Bratislava

With a kind permissison of the CDF top group

slide-2
SLIDE 2

Stano Tokar, slide 2

Talk Outline Talk Outline

  • Top quark is treated in Dilepton mode
  • Main subjects:

⇒ production cross section (Details in: CDF6588, c.f. also CDF6517,-79,-90,-91,92) ⇒ Top quark mass reconstruction (Details in: CDF-6465)

www-cdf.fnal.gov/internal/physics/top/run2dil/summer03/doc.html)

t t

slide-3
SLIDE 3

Stano Tokar, slide 3

Top Top Dilepton Dilepton Characteristics Characteristics

  • Top dilepton topology:
  • Branching ratio: 2/9 × 2/9 ≈ 4.9 % of all events
  • Characteristics of top dilepton mode

– Two high PT opposite charge leptons – High missing ET (due to neutrinos) – Two high PT b-jets

  • Advatages: Very clean events sample.
  • Disadvantages: low branching ratio

( )( ) ( )( )

, p p tt X tt W b W b l b l b ν ν

+ − + −

→ + → →

  • tt

tt

slide-4
SLIDE 4

Stano Tokar, slide 4

Top Top Dilepton Dilepton Selection criteria Selection criteria

Top dilepton event selection cuts: Run I vs Run II (motivation: CDF5676)

Opposite charge requirement 7 HT > 200 GeV 6 2 jets with |ηdetector|< 2.0 ≥ 2 jets with |ηdetector|< 2.0 5 4 3 Remove Z bosons Remove Z bosons 2 Two ≥ 20 GeV isolated leptons Two ≥ 20 GeV opposite signed leptons, ≥1 isolated 1 Run II (Winter 2003) Run I Cut

ee,µµ

76<M <106 GeV / T E >25 GeV

( )

/ /

T T

∆φ E , nearest l or j >20° if E <50 GeV

( )

/ /

T T

∆φ E , nearest l or j >20° if E <50 GeV / raw

T

E >10 GeV / raw

T

E >10 GeV

. tight leptons pass jets T T T T

H E E E = + / +

∑ ∑

/ T E >25 GeV

ee,µµ

76<M <106 GeV

slide-5
SLIDE 5

Stano Tokar, slide 5

Cross section Cross section

  • Run II status (Summer’03)

⇒ CMS energy: ⇒ Integrated luminosity:

  • Cross section:

Nobs≡ # of events observed Nbg ≡ # of estimated background events A ≡ Kinematic and geometrical acceptance ε ≡ Total efficiency

  • Winter’03 selection criteria modified:

Only one isolated lepton required Plug electrons and CMIO muons included Z mass window cut replaced by a special procedure

1

dt 126 pb− ⋅ =

∫ L ฀

( )

  • bs

bg

N N A dt σ ε = − ⋅ ⋅∫ L . s 1 96TeV =

slide-6
SLIDE 6

Stano Tokar, slide 6

X X-

  • section: Event Selection,

section: Event Selection, ∆φ ∆φ, H , HT

T… … Cut in HT: Data vs MC Signal and BKGD( DY, WW/WZ, Z→ττ, fake leptons) Cuts in (∆φ, missing ET)-plane: MC vs data (ee, µµ, eµ)

slide-7
SLIDE 7

Stano Tokar, slide 7

X X-

  • section: Event Selection

section: Event Selection -

  • miss

miss-

  • E

ET

T, P

, PT

T Cut in lepton PT(>20 GEV): Data vs MC Signal and BKGD( DY, WW/WZ, Z→ττ, fake leptons) Cut in miss-ET(>25 GeV): Data vs MC Signal and BKGD( DY, WW/WZ, Z→ττ, fake leptons)

slide-8
SLIDE 8

Stano Tokar, slide 8

X X-

  • section: # of jets,

section: # of jets, dilepton dilepton mass mass

# of jets in dilepton + events vs MC signal and background

T

E /

Dilepton invariant mass: Data vs MC signal and bkgd

slide-9
SLIDE 9

Stano Tokar, slide 9

Cross-section A good agreement with others and theory!

slide-10
SLIDE 10

Stano Tokar, slide 10

Top Mass in the Top Mass in the Dilepton Dilepton Channel Channel

Summary of the top mass reconstruction method: – Kinematic reconstruction of events selected by the dilepton selection criteria – 24 parameters looked for at 23 constraints + assumption on the distribution introduced – MC templates employed in exper. data and bkgd analyses – Top mass is obtained using likelihood fit with the likelihood function defined: n ≡ # of events passed the selection criteria

( )

,

, , , , ,

inp inp t rec t t

f m m m 140 150 210 =

  • ,

t t z

P

( )

( ) ,

,

n i inp t rec t i 1

L f m m

=

= ∏

slide-11
SLIDE 11

Stano Tokar, slide 11

Top Candidates in Top Candidates in Dilepton Dilepton Mode Mode

Run I selected top candidates, cut carried out in plane ∆φ ≡ angle(MET, lepton (jet) direction) Sample: 109 pb-1 Run II selected top candidates, cut carried out in plane Sample: 126 pb-1 6 top dilepton candidates found

( ( )

,

T

E ∆φ

)

,

T

E ∆φ

Winter’03 selection criteria applied!

slide-12
SLIDE 12

Stano Tokar, slide 12

Masses of Top Candidates in Masses of Top Candidates in Dilepton Dilepton Mode Mode

Only 6 events (vs 10 in xsec) due to more stringent criteria

slide-13
SLIDE 13

Stano Tokar, slide 13

MC Signal Templates MC Signal Templates

  • Samples of events produced (Pythia) for different input top masses:
  • Simulated events are reconstructed (top dilepton selection criteria

applied) and template − normalized distribution of (reconstructed top mass) − is found and fitted for each

  • Template parametrization ⇒ a combination of Landau-like distribution

and Gaussian:

tt

( )

, , . /

inp 2 t

m 140 150 210 GeV c = …

( )

( )

( ) ( )

( )

( ) ( ) ( ) ( )

( , ) exp . exp( ) exp .

inp 3 t rec inp t t 1 inp 3 t 2 2 rec inp t 1 t inp inp i t i i t inp 2 t

m p m p m a b m p m p m f m m 0 5 I 1 p m 0 5 I λ λ λ λ = − + − − + − − = = + ⋅

inp t

m

rec t

m

slide-14
SLIDE 14

Stano Tokar, slide 14

Signal MC templates Signal MC templates

  • pi parametrization
  • From

⇒ Signal template is known for any

  • .0036

± .0003

1.0

± 0.16

p3 0.26

± 0.017

  • 21.35

± 2.3

p2 0.8

± 0.017

22.57

± 2.82

p1 b a

inp i i i t

p a b m = + ×

( )

,

rec inp s t t

f m m

inp t

m

slide-15
SLIDE 15

Stano Tokar, slide 15

Background Templates Background Templates

Bkgd templates have the same form as the signal ones, but pi do not depend on

inp t

m

1.19 ± 0.31 32.28 ± 9.4 167.2 ± 11.9

Drell-Yan

0.86 ± 0.13 26.37 ± 3.01 150.5 ± 3.11

Z0→ττ

0.63 ± 0.095 21.93 ± 1.59 143.0 ± 1.83

WW p3 p2 p1 Bkgd

slide-16
SLIDE 16

Stano Tokar, slide 16

Templates & Top Quark Mass Templates & Top Quark Mass

⇒ Pseudo-experiments with 6 random events repeated for each of 8 input top masses ⇒ 6 top masses resulted from each pseudo-experiment are put into likelihood fit:

( ) ( )

, ,

( ) ,

n rec b t i i 1 rec s t i t

L b f m 1 b f m m

=

 = ⋅   + − ⋅ 

⇒ top mass mt & its error are got from the likelihood fit Mean values of top masses (⇑) And their errors (⇐)

slide-17
SLIDE 17

Stano Tokar, slide 17

Pseudo Pseudo-

  • experiment Results

experiment Results

a b c 1 2 3 4 Each pseudo-experiment gives 6 ”raw” top masses – from them Likelihood fit finds: a) top mass b) its error c) pull ( ) −

fit inp t t

=m m ⇑ Distributions of top masses, errors and pulls from likelihood fits 6 events pseudo-experiments with different input top masses (160, 170, 180 and 190 GeV) 1 2 3 4 have been carried out.

slide-18
SLIDE 18

Stano Tokar, slide 18

Dilepton Dilepton Top Quark Mass Top Quark Mass

Top mass is obtained from data using likelihood fit − likelihood function is known for any top mass (at least for (140, 210) GeV): b ≡ bkgd percentage

( )

Applied to 6 experimental events ⇒

( )

, ,

( ) ,

b t i s t i top

L b f m 1 b f m M   = ⋅ + − ⋅

n rec rec i 1 = 

slide-19
SLIDE 19

Stano Tokar, slide 19

Background Background

Background expectation at 126 pb-1 Bkgd expectation values are scaled from those at 72 pb-1(CDFNOTE 6319) Probability of finding in 6 dilepton events :

  • no background is 59.5 %
  • 1 bkgd event –

32.3 %

  • 2 bkgd events –

7.3 % Uncertainty ∆mt ≈1.2 ±0.2 GeV is

  • btained from likelihood fit assuming

different sole background contributions. Systematics ≈ 0.2 GeV comes from 1σ variation of individual bkgd templates 0.065 ± 0.052 Fake 0.165 ± 0.069 Z→ττ 0.52 ± 0.20 Total 0.173 ± 0.121 Drell-Yan 0.165 ± 0.132 WW/WZ

  • Exp. # of events

Bkgd

slide-20
SLIDE 20

Stano Tokar, slide 20

Dilepton Dilepton Top Mass Top Mass Systematics Systematics

Mass determination is sensitive to MC templates , jet reconstruction

  • Jet energy systematics:

Sample of events (Pythia) at mt=170 GeV generated, sets of events for each jet correction created and reconstructed, pseudo-experiments with 5 events carried out, ± 1σ deviation applied for each jet correction.

  • Generator systematics:

2 PDF sets used: CTEQ5L and MRST Pythia vs Herwig ISR and FSR taken from Run I tt

slide-21
SLIDE 21

Stano Tokar, slide 21

Dilepton Dilepton Top Mass Top Mass

  • Top mass determined in the dilepton mode

⇒ the experimental sample of 126 pb-1 processed ⇒ the winter conference top dilepton selection criteria applied

+17.4 2 top

  • 16.9

M =175. 0 (stat)±7.9(syst) GeV c

slide-22
SLIDE 22

Stano Tokar, slide 22

Conclusions Conclusions

  • Raw data sample of 126 pb-1 processed in dilepton mode
  • for Top mass - likelihood fit gives (6 events):
  • Cross section of production determined (dilepton mode):

σ =7.6 ± 3.4stat ± 1.5sys pb

⇒ X-section is compatible with that of CDF “one lepton+jets” mode ( σ =5.3 ± 1.9stat ± 0.8sys ± 0.8lum pb) and with ⇒ D0 (

)

⇒ QCD calculations: ( resumation of log soft gluon corrections included,

S.Catani et al., Phys. Lett. B378 (1996)329 )

. . . .

. ( ) ( ) . ( )

4 5 5 3 3 7 3 5

8 4 stat syst 0 8 lumi pb σ

+ + − −

= ±

. .

. ( ) . ( )

17 4 2 top 16 9

M 175 0 stat 7 9 syst GeV c

+ −

= ± tt pb σ

+0.73

  • 0.62

= 4.75