ATLAS SUSY Multi-Jet Search Christopher Young, CERN BOOST 2013 - - PowerPoint PPT Presentation

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ATLAS SUSY Multi-Jet Search Christopher Young, CERN BOOST 2013 - - PowerPoint PPT Presentation

ATLAS SUSY Multi-Jet Search Christopher Young, CERN BOOST 2013 Conference 1 / 31 ATLAS SUSY Multi-Jet Search Christopher Young, CERN Introduction A bit of a different talk: a search implementing large radius jets rather than


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SLIDE 1

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

BOOST 2013 Conference

1 / 31

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SLIDE 2

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Introduction

◮ A bit of a different talk:– a search implementing large radius jets rather

than performance or theoretical ideas.

◮ The target of the search is final states with many jets produced from a

cascade of heavy new coloured particles and E miss

T

from invisible particles.

◮ Interpretation is in terms of several SUSY models but it is attempted to

keep the selection reasonably general to maintain sensitivity to a variety

  • f models.

◮ The analysis proceeds in two streams one using standard jets and the

  • ther using large radius jet masses.

2 / 31

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SLIDE 3

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Outline

◮ Motivation for the Search ◮ Selection criteria - including MΣ

J

motivation

◮ Background determination - Multi-jet background ◮ Background determination - “Leptonic” backgrounds ◮ Results of the Analysis ◮ Interpretation of the Results

3 / 31

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SLIDE 4

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Motivation for the Search

◮ SUSY gives a duplicate spectrum to the SM (+ extended Higgs sector) ◮ Focus on R-parity conserving models → E miss

T

from lightest susy particle (LSP) being stable.

◮ LHC is a hadron collider → x-sec. for coloured particles are large. ◮ These can decay through long complicated processes leading to many

particle final states.

4 / 31

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SLIDE 5

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Motivation for the Search

◮ The target final state here is many jets (up to 10) from the cascade decay

and E miss

T

.

◮ SUSY scenarios can have decay modes through several different channels. ◮ Signals can have very large numbers of hard jets. ◮ Events with leptons are vetoed to reduce SM backgrounds (W +jets, t¯

t).

◮ Try to keep selection as general as possible. ◮ Models both with b-jets in the final state and without are considered. ◮ E miss

T

cut kept softer than most other SUSY analyses.

5 / 31

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SLIDE 6

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Historical Record

◮ The 1st ATLAS high jet multiplicity SUSY search used 1.34 fb−1 of 2011

data: arXiv:1110.2299

◮ This was updated to the full 2011 dataset:

arXiv:1206.1760

◮ A conference note was published using the first 5.8 fb−1 of 2012 data:

ATLAS-CONF-2012-103

◮ This latest version uses the full 20.3 fb−1 2012 8 TeV dataset:

arXiv:1308.1841

6 / 31

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SLIDE 7

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Selection

◮ The analysis is split into two “streams”. ◮ One stream splits events based on the presence of b-tagged jets. ◮ The other makes use of the sum of large radius jet masses. ◮ In both streams cleaning cuts are applied and events with electrons or

muons with pT > 10 GeV are vetoed.

◮ For the signal region selection in both streams data are triggered using

multi-jet triggers. (there is no trigger E miss

T

requirement unlike in other SUSY searches allowing softer requirements to be used).

◮ For control region selections single lepton triggers are used.

7 / 31

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SLIDE 8

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Selection - flavour stream

◮ Events are categorised by the number of b-tagged jets in the event

(pT > 40 GeV |η| < 2.5, 70% OP) into bins of 0, 1 or ≥ 2 tagged jets.

◮ Also count jets with pT > 50 GeV |η| < 2.0 and pT > 80 GeV |η| < 2.0. Multi-jet + flavour stream Identifier 8j50 9j50 ≥ 10j50 Jet |η| < 2.0 Jet pT > 50 GeV Jet count = 8 = 9 ≥ 10 b-jets 1 ≥ 2 1 ≥ 2 — (pT > 40 GeV, |η| < 2.5) E miss

T

/√HT > 4 GeV1/2 Multi-jet + flavour stream Identifier 7j80 8j80 Jet |η| < 2.0 Jet pT > 80 GeV Jet count = 7 ≥ 8 b-jets 1 ≥ 2 1 ≥ 2 (pT > 40 GeV, |η| < 2.5) E miss

T

/√HT > 4 GeV1/2

8 / 31

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SLIDE 9

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Selection - MΣ

J

stream

◮ The variable proposed in arXiv:1202.0558 is utilised. ◮ Anti-kt 4 jets are re-clustered using the anti-kt algorithm into radius 1.0

jets.

◮ The variable MΣ

J

is then formed from the sum of the masses of these large radius jets which have pT > 100 GeV and |η| < 1.5. MΣ

J =

  • mR=1.0

jet Jay Wacker, SLAC

9 / 31

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SLIDE 10

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Selection - MΣ

J

stream

◮ The motivation behind this variable is not solely to look for boosted

  • bjects!

◮ The SUSY process is expected to be a cascade through several heavy

particles.

◮ The jets are therefore expected to be distributed differently in η and φ to

pure QCD processes.

◮ When forming fat jets there will be large mass jets where the jets come

from different parts of the decay that are accidentally near each other.

◮ This is not expected to occur in QCD so often. ◮ MΣ

J can therefore be thought more of an event shape variable rather than

attempting to reconstruct hadronically decaying W and top particles.

10 / 31

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SLIDE 11

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Selection - MΣ

J

stream

◮ Selection requires a large number of Anti-kt 4 jets above 50 GeV and

additionally a cut on MΣ

J .

◮ Two different cut values on MΣ

J

are used; 340 GeV and 420 GeV.

Multi-jet + MΣ

J stream

Identifier ≥ 8j50 ≥ 9j50 ≥ 10j50 Jet |η| < 2.8 Jet pT > 50 GeV Jet count ≥ 8 ≥ 9 ≥ 10 b-jets — (pT > 40 GeV, |η| < 2.5) MΣ

J [GeV]

> 340 and > 420 for each case E miss

T

/√HT > 4 GeV1/2

11 / 31

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SLIDE 12

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Background Determination - Multi-jets

◮ Due to the softish cut on E miss

T

multi-jet processes form a large proportion of the background.

◮ Fully data-driven method has been developed. ◮ For a large range of jet pT the ATLAS resolution is ∝ √pT. ◮ For events dominated by jet mis-measurement the quantity E miss

T

/√HT will be approximately invariant under changes in jet multiplicity.

◮ Therefore the background can be determined by:

Npredicted

E miss

T

/√ HT>4.0,nJet≥9 = Nobserved E miss

T

/√ HT<1.5,nJet≥9

Nobserved

E miss

T

/√ HT>4.0,nJet=6

Nobserved

E miss

T

/√ HT<1.5,nJet=6

where all the numbers have the expected non-multi-jet background yields

  • subtracted. (ABCD method)

12 / 31

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SLIDE 13

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Background Determination - Multi-jets

◮ The E miss

T

is also affected by the amount of soft activity in the event.

◮ To capture the relative size of the soft and hard parts of the E miss

T

the template is formed in bins of ECellOut

T

/HT.

◮ To test the method lower jet multiplicities are used.

2 4 6 8 10 12 14 16

1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

7

10

8

10

  • 1

L dt = 20.3 fb

No b-jets > 50 GeV

T

7 jets p

ATLAS Preliminary

= 8 TeV) s Data 2012 ( Background prediction qq) → t Multi-jets (inc. t ql,ll → t Sherpa t Single top +V t MadGraph t Sherpa W+b ν ) τ , µ (e, → Sherpa W Sherpa Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E

2 4 6 8 10 12 14 16

Data / Prediction

0.5 1 1.5 2 2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

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2

10

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5

10

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7

10

8

10

  • 1

L dt = 20.3 fb

= 8 TeV s 1 b-jet > 50 GeV

T

7 jets p

ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E

2 4 6 8 10 12 14 16

Data / Prediction

0.5 1 1.5 2 2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

7

10

8

10

  • 1

L dt = 20.3 fb

= 8 TeV s 2 b-jets ≥ > 50 GeV

T

7 jets p

ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E

2 4 6 8 10 12 14 16

Data / Prediction

0.5 1 1.5 2

Here template from 6 jet selection is used to predict distribution for 7 jet selection.

13 / 31

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SLIDE 14

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Background Determination - Multi-jets

◮ Method is also tested to work after cuts on MΣ

J .

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

7 jets, p 340 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

7 jets, p 420 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

Here template from 6 jet selection is used to predict distribution for 7 jet selection.

14 / 31

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SLIDE 15

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Background Determination - “leptonic” backgrounds

◮ Z → νν forms an irreducible background and t¯

t and W +jets can also contribute when the lepton is not reconstructed or is a hadronically decaying τ.

◮ These backgrounds use Monte Carlo with validation and normalisation in

control regions requiring a single isolated electron or muon.

◮ A looser selection is required to form “validation” regions close

kinematically to the SR.

◮ Additional criteria are then applied to emulate the primary process that

would enter the SR:

  • 1. For W and t¯

t the majority of the background is hadronic taus so the electron/muon is treated as a jet in the selection criteria.

  • 2. For Z the lepton pT are added to the E miss

T

to emulate Z → νν.

◮ The Monte-Carlo is found to describe the data well within the

experimental systematics.

15 / 31

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SLIDE 16

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Background Determination - “leptonic” backgrounds

2 3 4 5 6 7 8 9 10 11 12 13 14 Events

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

7

10

8

10

9

10

Data Total background ql,ll → t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z Single top +W,Z t t ]:[900,150] [GeV]

1

χ ∼ , g ~ [

  • 1

L dt = 20.3 fb

= 8 TeV s 1 lepton CR 2 b-jets ≥

ATLAS

>50 GeV

T

Number of jets p 2 3 4 5 6 7 8 9 10 11 12 13 Data/Prediction 0.5 1 1.5 2

Events / 80 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

Data Total background ql,ll → t t + light jets ν l → W + b-jets ν l → W , ll + jets ν ν → Z Single top +W, Z t t ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

1 lepton CR 7 jets 50 GeV ≥ b-blind

[GeV]

Σ J

Total ’composite’ jet mass, M 100 200 300 400 500 600 700 800 900 1000

Data/Prediction

0.5 1 1.5 2

16 / 31

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SLIDE 17

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Systematics and Statistics

◮ For Multi-jet background systematics come from the closure observed in

many lower jet multiplicity or lower E miss

T

/√HT, the relative fraction of b-jets, the uncertainty on the subtraction of the other backgrounds and changing the exact weighting procedure.

◮ For the “leptonic” backgrounds the Jet Energy Scale uncertainty,

theoretical uncertainties (on the extrapolation between control and signal regions) and the statistics in the control regions dominate.

◮ For the flavour stream a profile likelihood fit is performed across all

control regions and signal regions.

◮ For the MΣ

J

stream each signal region is treated separately with the corresponding “leptonic” control region with the same jet multiplicity and MΣ

J

requirements.

17 / 31

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SLIDE 18

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions - numbers

Signal region 8j50 9j50 10j50 b-jets 1 ≥ 2 1 ≥ 2 — Observed events 40 44 44 5 8 7 3 Total after fit 35 ± 4 40 ± 10 50 ± 10 3.3 ± 0.7 6.1 ± 1.7 8.0 ± 2.7 1.37 ± 0.35 Fitted t¯ t 2.7 ± 0.9 11.8 ± 3.0 23.0 ± 5.0 0.36 ± 0.18 1.5 ± 0.5 3.2 ± 1.1 0.06+0.09

−0.06

Fitted W +jets 2.0+2.6

−2.0

0.62+0.81

−0.62

0.20+0.28

−0.20

  • 0.24+0.65

−0.24

  • Fitted others

2.9+1.8

−1.8

1.7+1.5

−1.2

2.8+2.3

−2.0

0.03 ± 0.03 0.38 ± 0.25 0.40+0.60

−0.24

0.08 ± 0.08 Total before fit 40 50 60 3.4 7 9 1.4 t¯ t before fit 3.5 15 30 0.41 1.8 4 0.08 W +jets before fit 2.9 1.0 0.29

  • 0.40
  • Others before fit

2.4 1.8 2.8 0.03 0.34 0.4 0.08 Multi-jets 27 ± 3 30 ± 10 26 ± 10 3.0 ± 0.6 4.0 ± 1.4 4.4 ± 2.2 1.23 ± 0.32 N95%

BSM (exp)

16 23 26 5 7 8 4 N95%

BSM (obs)

20 23 22 7 9 7 6 σ95%

BSM,max(exp)[fb]

0.8 1.2 1.3 0.26 0.36 0.40 0.19 σ95%

BSM,max(obs)[fb]

0.97 1.1 1.1 0.34 0.43 0.37 0.29 p0 0.24 0.5 0.7 0.21 0.28 0.6 0.13 Significance (σ) 0.7

  • 0.02
  • 0.6

0.8 0.6

  • 0.28

1.14

18 / 31

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SLIDE 19

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions - numbers

Signal region 7j80 8j80 b-jets 1 ≥ 2 1 ≥ 2 Observed events 12 17 13 2 1 3 Total fitted events 11.0 ± 2.2 17 ± 6 25 ± 10 0.9 ± 0.6 1.5 ± 0.9 3.3 ± 2.2 Fitted t¯ t 0.00+0.26

−0.00

5.0 ± 4.0 12 ± 9 0.10+0.14

−0.10

0.32+0.67

−0.32

1.5+1.9

−1.5

Fitted W +jets 0.07+0.38

−0.07

0.29+0.37

−0.29

  • Fitted others

1.9+1.1

−0.9

0.71+0.31

−0.25

2.6+1.7

−1.1

0.02 ± 0.02 0.02 ± 0.02 0.32+0.36

−0.21

Total events before fit 12 16 23 0.8 1.8 3.3 t¯ t before fit 0.34 4 10 0.08 0.6 1.5 W +jets before fit 0.46 0.29

  • Others before fit

1.8 0.89 3.0 0.02 0.02 0.35 Multi-jets 9.1 ± 1.6 11 ± 4 10 ± 4 0.75 ± 0.56 1.2 ± 0.5 1.4 ± 1.0 N95

BSM (exp)

10 17 14 4 4 6 N95

BSM (obs)

10 16 12 5 3.5 6 σ95%

BSM,max (exp) [fb]

0.5 0.8 0.7 0.18 0.18 0.31 σ95%

BSM,max (obs) [fb]

0.5 0.8 0.6 0.24 0.17 0.31 p0 0.5 0.6 0.8 0.19 0.6 0.5 Significance (σ) 0.05

  • 0.14
  • 1.0

0.9

  • 0.28
  • 0.06

19 / 31

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SLIDE 20

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions - numbers

Signal region 8j50 MΣ

J [GeV]

340 420 Observed events 69 37 Total events after fit 75 ± 19 45 ± 14 Fitted t¯ t 17 ± 11 16 ± 13 Fitted W +jets 0.8+1.3

−0.8

0.4+0.7

−0.4

Fitted others 5.2+4.0

−2.5

2.8+2.9

−1.6

Total events before fit 90 40 t¯ t before fit 27 14 W +jets before fit 0.8 0.4 Others before fit 5 2.8 Multi-jets 52 ± 15 27 ± 7 N95%

BSM (exp)

40 23 N95%

BSM (obs)

35 20 σ95%

BSM,max (exp) [fb]

1.9 1.1 σ95%

BSM,max (obs) [fb]

1.7 1.0 p0 0.60 0.7 Significance (σ)

  • 0.27
  • 0.6

20 / 31

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SLIDE 21

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions - numbers

Signal region 9j50 10j50 MΣ

J [GeV]

340 420 340 420 Observed events 13 9 1 1 Total events 17 ± 7 11 ± 5 3.2+3.7

−3.2

2.2 ± 2.0 t¯ t 5 ± 4 3.4+3.6

−3.4

0.8+0.8

−0.8

0.6+0.9

−0.6

W +jets

  • Others

0.58+0.54

−0.33

0.39+0.32

−0.30

0.12 ± 0.12 0.06 ± 0.06 Multi-jets 12 ± 4 7.0 ± 2.3 2.3+3.6

−2.3

1.6+1.8

−1.6

N95%

BSM (exp)

13 11 5 5 N95%

BSM (obs)

11 10 4 4 σ95%

BSM,max (exp) [fb]

0.7 0.5 0.23 0.23 σ95%

BSM,max (obs) [fb]

0.5 0.5 0.2 0.2 p0 0.7 0.6 0.8 0.7 Significance (σ)

  • 0.6
  • 0.34
  • 0.8
  • 0.6

21 / 31

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SLIDE 22

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions

2 4 6 8 10 12 14 16 1/2

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  • 1

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8 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

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8 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

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8 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

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2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 2

10

  • 1

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= 8 TeV s No b-jets > 50 GeV

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9 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

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  • 2

10

  • 1

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5

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  • 1

L dt = 20.3 fb

= 8 TeV s 1 b-jet > 50 GeV

T

9 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

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Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

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4

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  • 1

L dt = 20.3 fb

= 8 TeV s 2 b-jets ≥ > 50 GeV

T

9 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

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SLIDE 23

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions

2 4 6 8 10 12 14 16

1/2

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  • 2

10

  • 1

10 1 10

2

10

3

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5

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  • 1

L dt = 20.3 fb

= 8 TeV s > 50 GeV

T

10 jets p ≥

ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E

2 4 6 8 10 12 14 16

Data / Prediction

0.5 1 1.5 2

23 / 31

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SLIDE 24

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions

2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

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3

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4

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5

10

6

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7

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  • 1

L dt = 20.3 fb

= 8 TeV s No b-jets > 80 GeV

T

7 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

7

10

  • 1

L dt = 20.3 fb

= 8 TeV s 1 b-jet > 80 GeV

T

7 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

7

10

  • 1

L dt = 20.3 fb

= 8 TeV s 2 b-jets ≥ > 80 GeV

T

7 jets p ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

  • 1

L dt = 20.3 fb

= 8 TeV s No b-jets > 80 GeV

T

8 jets p ≥ ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

  • 1

L dt = 20.3 fb

= 8 TeV s 1 b-jet > 80 GeV

T

8 jets p ≥ ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

2 4 6 8 10 12 14 16 1/2

Events / 4 GeV

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

  • 1

L dt = 20.3 fb

= 8 TeV s 2 b-jets ≥ > 80 GeV

T

8 jets p ≥ ATLAS

Data Total background Multi-jets ql,ll → t t Single top +W,Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data / Prediction 0.5 1 1.5 2

24 / 31

slide-25
SLIDE 25

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Signal regions

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

8 jets, p ≥ 340 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

9 jets, p ≥ 340 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

10 jets, p ≥ 340 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

8 jets, p ≥ 420 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

9 jets, p ≥ 420 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

1/2

Events / 4 GeV

  • 2

10

  • 1

10 1 10

2

10

3

10

4

10

5

10

6

10

Data Total background Multi-jets ql,ll → t t Single top +W, Z t t + b-jets ν l → W + light jets ν l → W , ll + jets ν ν → Z ]:[900,150] [GeV]

1

χ ∼ , g ~ [

ATLAS

=8 TeV s ,

  • 1

L dt = 20.3 fb

50 GeV ≥

T

10 jets, p ≥ 420 GeV ≥

Σ J

M

]

1/2

[GeV

T

H /

miss T

E 2 4 6 8 10 12 14 16

Data/Prediction

0.5 1 1.5 2

25 / 31

slide-26
SLIDE 26

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Interpretation

◮ No significant excess above the Standard Model prediction is observed so

limits are set in several models of Supersymmetry.

◮ In each model the stream which gives the best expected limit is used. ◮ In the vicinity of the limit this is almost always the 50 GeV regions in the

“flavour” stream.

◮ At higher masses the MΣ

J stream is seen to do better such that this may

be promising for its use in the future.

) [GeV] g ~ m( 200 400 600 800 1000 1200 1400 ) [GeV]

1

χ ∼ m( 200 400 600 800 1000 1200

E D A A A B E A A A C A A B C A H A A A B C B A A A D A B A D A A D A B A A A C E A A E B A A H B A B H B A A H E B D B A A H A B A B D G A A A A A A E D A A A H D C A E A A B A E E A B A A A H A A A A B H B G A B C C H A B A E A A B B E A A D A A A A B A A E E A A A H C E D A A A B A A A A A E E A A H B A E C A E G A G

)]/2

1

χ ∼ )+m( g ~ )=[m(

± 1

χ ∼ ; m(

1

χ ∼ qqW → g ~ , g ~

  • g

~

  • 1

L dt = 20.3 fb

Multijet Analyses

ATLAS

)

1

χ ∼ )<m( g ~ m(

26 / 31

slide-27
SLIDE 27

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Interpretation

◮ Gluino pair production where they decay:

  • 1. ˜

g → t + ¯ t + ˜ χ0

1

  • 2. ˜

g → ¯ t + ˜ t ; ˜ t → t + ˜ χ0

1 ) [GeV] g ~ m( 600 700 800 900 1000 1100 1200 1300 ) [GeV]

1

χ ∼ m( 100 200 300 400 500 600 700 800 900

) g ~ )>>m( t ~ ; m(

1

χ ∼ t t → g ~ , g ~

  • g

~

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit ( )

1

χ ∼ m(t)+m( × )<2 g ~ m(

) [GeV] g ~ m( 700 800 900 1000 1100 1200 1300 1400 ) [GeV]

1

t ~ m( 300 400 500 600 700 800 900 1000 1100 1200

(On-shell)

1

χ ∼ t t → g ~ , g ~

  • g

~

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit ( )

1

t ~ ) < m ( t ) + m ( g ~ m (

.

27 / 31

slide-28
SLIDE 28

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Limits - One Step Decay

◮ Gluino pair production where they decay:

  • 1. ˜

g → q + ¯ q

′ + ˜

χ±

1 ; ˜

χ±

1 → W ± + ˜

χ0

1 ) [GeV] g ~ m( 400 500 600 700 800 900 1000 1100 1200 ) [GeV]

1

χ ∼ m( 100 200 300 400 500 600 700 800 900

)]/2

1

χ ∼ )+m( g ~ )=[m(

± 1

χ ∼ ; m(

1

χ ∼ qqW → g ~ , g ~

  • g

~

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit ( )

1

χ ∼ ) < m ( g ~ m (

) [GeV] g ~ m( 400 500 600 700 800 900 1000 1100 1200 Fractional mass splitting, x 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

)=60 GeV

1

χ ∼ ; m(

1

χ ∼ qqW → g ~ , g ~

  • g

~

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit ( )

1

χ ∼ )-m( g ~ m( )

1

χ ∼ )-m(

± 1

χ ∼ m( x = .

28 / 31

slide-29
SLIDE 29

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Limits - 2-step decay and MSUGRA/CMSSM

◮ Gluino pair production where they decay:

  • 1. ˜

g → q + ¯ q

′ + ˜

χ±

1 ; ˜

χ±

1 → W ± + ˜

χ0

2 ; ˜

χ0

2 → Z + ˜

χ0

1

◮ A plane of the MSUGRA/CMSSM space.

) [GeV] g ~ m( 500 600 700 800 900 1000 1100 1200 1300 1400 ) [GeV]

1

χ ∼ m( 100 200 300 400 500 600 700 800 900

;

1

χ ∼ qqWZ → g ~ , g ~

  • g

~ )]/2

1

χ ∼ )+m(

± 1

χ ∼ )=[m(

2

χ ∼ )]/2, m(

1

χ ∼ )+m( g ~ )=[m(

± 1

χ ∼ m(

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit ( )

1

χ ∼ ) < m ( g ~ m (

[GeV] m 1000 2000 3000 4000 5000 6000 [GeV]

1/2

m 300 400 500 600 700 800

(2000 GeV) q ~ (1600 GeV) q ~ (1000 GeV) g ~ (1400 GeV) g ~

>0 µ , =-2m )=30, A β mSUGRA/CMSSM: tan(

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit (

.

29 / 31

slide-30
SLIDE 30

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Limits - RPV gluino-stop model

◮ As the E miss

T

cut is soft it was found the analysis was also sensitive to an RPV SUSY model where the E miss

T

is generated from neutrinos in b-jets.

◮ Gluinos are pair-produced and then decay:

◮ ˜

g → ¯ t + ˜

  • t. The stop then decays ˜

t → b + s

) [GeV] g ~ m( 500 600 700 800 900 1000 1100 1200 ) [GeV]

1

t ~ m( 400 500 600 700 800 900 1000

bs → (RPV) t ~ , t ~ t → g ~ production, g ~

  • g

~

  • 1

L dt = 20.3 fb

Multijet Combined

ATLAS

)

exp

σ 1 ± Expected limit ( )

theory SUSY

σ 1 ± Observed limit (

30 / 31

slide-31
SLIDE 31

ATLAS SUSY Multi-Jet Search

Christopher Young, CERN

Conclusions

◮ I have presented a search for SUSY in the channel requiring many jets

(≥ 7 →≥ 10), E miss

T

and no high pT isolated leptons.

◮ The analysis contained selections based on b-jet multiplicity and on MΣ

J .

◮ No excess above the SM background was observed and limits were set in

various planes of SUSY.

◮ The flavour stream was in general more sensitive than the MΣ

J stream (in

the models studied near the current limits).

◮ However, the MΣ

J stream shows better sensitivity to masses beyond the

current limits such that this variable may be more useful in future searches.

31 / 31