[PPT] - Jets and Missing at the LHC Jay Wacker SLAC BSM: Results from the PowerPoint Presentation

SLIDE 1

Jets and Missing at the LHC

Jay Wacker SLAC

w/ E. Izaguire

D. Alves
R. Essig

J.Kaplan

A. Hook
M. Lisanti

BSM: Results from the 7 TeV LHC

Nov. 9, 2011

SLIDE 2

Outline

Simplified Models Two Examples

Light Flavored Models Heavy Flavored Models

Future Directions

Stops High Multiplicity Searches Quark/Gluon Tagging

SLIDE 3

All started a few years back... Had an MSSM model that predicted a spectrum

˜ g

W

˜ B

70 GeV 80 GeV 140 GeV

...

˜ B

˜ g

˜ q∗ q ¯ q

SLIDE 4

All started a few years back... Had an MSSM model that predicted a spectrum

˜ g

W

˜ B

70 GeV 80 GeV 140 GeV

...

˜ B

˜ g

˜ q∗ q ¯ q

Surely this must be excluded! The production cross section at the Tevatron is

σ(p¯ p ˜ g˜ g) 2 nb

SLIDE 5

I went through the 25 years of squark and gluino searches

Gluino Mass (GeV)

100 200 300 400 500 600

Squark Mass (GeV)

100 200 300 400 500 600

1

DØ Preliminary, 0.96 fb

<0 µ =0, =3, A ! tan

UA1 UA2 LEP CDF IB DØ IA DØ IB

no mSUGRA

solution CDF II

They all came back to versions of this: mSUGRA

(Five parameters to rule them all)

m 1

2 , m0, A0, tan β, sign µ

m 1

2 → m˜

g

m0 → m˜

q

but where is

m ˜

B?

SLIDE 6

mSugra has “Gaugino Mass Unification”

m˜

g : m ˜ W : m ˜ B = α3 : α2 : α1 6 : 2 : 1

˜ g

W

˜ B

˜ q ˜

H

˜ H

h

Most models look like this A shocking lack of diversity (see the pMSSM)

SLIDE 7

Solution to Hierarchy Problem

Jets + MET

Dark Matter Fewest requirements on spectroscopy

If the symmetry commutes with SU(3)C, new colored top partners

(note twin Higgs exception)

Wimp Miracle: DM a thermal relic if mass is 100 GeV to 1 TeV Usually requires a dark sector, frequently contains new colored particles Doesn’t require squeezing in additional states to decay chains

SLIDE 8

Spectrum in Different Theories

MSSM Universal Extra Dimensions

High Cut-Off Low Cut-Off Large Mass Splittings Small Mass Splittings

˜ g ˜ w

˜ b

b1 w1 g1 δm = g2 16π2 m log Λ δm = g2 16π2 Λ2 m

SLIDE 9

Radiative Corrections to Kaluza-Klein Masses

Cheng, Matchev, Schmaltz (2002)

SLIDE 10

Radiative Corrections to Kaluza-Klein Masses

Cheng, Matchev, Schmaltz (2002)

SLIDE 11

Captures specific models

Simplified Models

Easy to notice & explore kinematic limits

Limits of specific theories Not fully model independent, but greatly reduce model dependence Removes superfluous model parameters

Only keep particles and couplings relevant for searches Add in relevant modification to models (e.g. singlets) Including ones that aren’t explicitly proposed Masses, Cross Sections, Branching Ratios (e.g. MARMOSET) Still a full Lagrangian description Effective Field Theories for Collider Physics

SLIDE 12

Simplified Models

When an anomaly appears, we want evidence of discovery for each particle We want to know that we need

˜ g, ˜ χ±, χ0

but nothing else to explain the anomaly Then design searches to piece together the rest of the spectrum

SLIDE 13

Simplified Models

Direct Decays

˜ g ˜ χ

MASS color octet majorana fermion (“Gluino”) neutral majorana fermion (“LSP”) THREE-BODY

˜ g

˜ q q ¯ q χ0

1

SLIDE 14

X 100 200 300 400 500 50 100 150 Gluino Mass GeV⇥ Bino Mass GeV⇥

Tevatron Reach

4 fb-1

2σ sensitivity ˜ g → ˜ Bjj ˜ g → Wjj → ( ˜ Bjj)jj

m˜

g >

∼ 120 GeV

Alwall, Le, Lisanti, Wacker 2008

Simplified Models showed a gap in Tevatron coverage

SLIDE 15

Important to keep the cross section free Easy to dilute signal with small branching ratios

σ × (Br(˜ g → X))2

Br(˜ g → X) ∼ 1 3

the rate drops by an order of magnitude Rate ~ If Dropping S/B by an order of magnitude dramatically changes discovery prospects All searches at LHC are model dependent If is a scalar, drops by ~1/6

˜ g

σ

SLIDE 16

Putting it all together

200 pb 300 pb 500 pb 1 nb 2 nb 100 pb

Tevatron

!prod = 3!" NLO-QCD !prod = !" NLO-QCD !prod = 0.3 !" NLO-QCD !prod = 0.1 !" NLO-QCD mSUGRA

˜ g → χq¯ q

Sample theory

There could have been discoveries!

LHC 70 nb-1

SLIDE 17

Much easier to interpret!

m˜

g = 800 GeV

mχ0 = 50 GeV m˜

g = 800 GeV

mχ0 = 600 GeV σ × Br ≤ 20 fb σ × Br ≤ 2 pb

SLIDE 18

Outline

Simplified Models Two Examples

Light Flavored Models Heavy Flavored Models

Future Directions

Stops High Multiplicity Searches Quark/Gluon Tagging

SLIDE 19

Light Flavored Simplified Models

4 Topologies Studied Based On Gluino Pair Production Light Flavored Squark Pair Production Not Studied Yet Squark Gluino Associated Production Not Studied Yet

m˜

γ

m˜

g

m˜

q

m˜

g

m˜

q

g g g g g g g

q

q q

˜ q ˜ q ˜ q ˜ q

˜ q†

˜ g ˜ g ˜ g ˜ g ˜ g

SLIDE 20

Simplified Models

Direct Decays

˜ g ˜ χ

MASS color octet majorana fermion (“Gluino”) neutral majorana fermion (“LSP”) THREE-BODY

˜ g

˜ q q ¯ q χ0

1

TWO-BODY

˜ g g χ0

1

SLIDE 21

Simplified Models

One-Step Cascade Decays

˜ g ˜ χ

MASS

˜ χ±

m˜

χ± = m˜ χ+

(m˜

g + m˜ χ)

color octet majorana fermion (“Gluino”) neutral majorana fermion (“LSP”) electroweak majorana fermion (“Wino”)

˜ g ˜ q

W (∗)

q ¯ q χ0

1

χ2

r

r = 1 4, 1 2, 3 4

SLIDE 22

Simplified Models

Two-Step Cascade Decays

˜ g ˜ χ

MASS

˜ χ±

m˜

χ± = m˜ χ+

(m˜

g + m˜ χ)

color octet majorana fermion (“Gluino”) neutral majorana fermion (“LSP”) electroweak majorana fermion (“Wino”)

˜ χ

neutral majorana fermion (“Higgsino”)

1 2

m˜

χ = m˜ χ+

(m˜

χ± + m˜ χ)

1 2

˜ g ˜ q

W (∗)W (∗)

q ¯ q χ0

1

χ2 χ3

SLIDE 23

Hunting for Optimal Cuts

QUESTION: Is there a single cut whose sensitivity is close to optimal for all masses and decay modes? ANSWER: No

Want to have good coverage for all these models for all kinematic ranges Want to minimize:

σlim(cut) σoptimal lim

SLIDE 24

cut space model space model space

σlim σopt

Hunting for Optimal Cuts

TASK: Find the minimum set of cuts on MET and HT whose combined

reach is close to optimal (within a given accuracy) for all models.

cut 1 cut 2

2-body 3-body

SLIDE 26

Multiple Search Regions

minimal set of cuts (multiple search regions) whose combined reach

is within optimal to a given accuracy for all masses and decay modes

size of the set depends on the optimal accuracy

✦ 5% O( 30 cuts ) ✦ 10% O( 16 cuts ) ✦ 30% O( 6 cuts ) ✦ 50% O( 4 cuts )

not sensitive to exact values of the cuts
only comprehensive when combined

Set up a genetic algorithm to optimize search strategies

SLIDE 27

combined reach within 30% of optimal

Multiple Search Regions

6 search regions necessary:

Dijet high MET Trijet high MET Multijet moderate MET Multijet high MET Multijet low MET Multijet very high HT

ET

> 500 GeV, HT > 750 GeV

ET

> 450 GeV, HT > 500 GeV

ET

> 100 GeV, HT > 450 GeV

ET

> 150 GeV, HT > 950 GeV

ET

> 250 GeV, HT > 300 GeV

ET

> 350 GeV, HT > 600 GeV

SLIDE 28

cut ch MET HT

2+j 500 750 3+j 450 500 4+j 100 450 4+j 100 650 4+j 150 950 4+j 250 300 4+j 350 600

200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 475, MET>250, HT>300, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 475, MET>250, HT>300, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 447, MET>150, HT>950, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 447, MET>150, HT>950, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 447, MET>150, HT>950, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 447, MET>150, HT>950, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 351, MET>450, HT>500, 3 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 351, MET>450, HT>500, 3 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 447, MET>150, HT>950, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 447, MET>150, HT>950, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 518, MET>350, HT>600, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 419, MET>100, HT>650, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 419, MET>100, HT>650, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 475, MET>250, HT>300, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 475, MET>250, HT>300, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 351, MET>450, HT>500, 3 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 173, MET>500, HT>750, 2 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 475, MET>250, HT>300, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 475, MET>250, HT>300, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 419, MET>100, HT>650, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 419, MET>100, HT>650, 4 j 200 400 600 800 200 400 600 800 mg

é HGeVL

mc HGeVL 415, MET>100, HT>450, 4 j

Multiple Search Regions

˜ g ˜ χ ˜ g ˜ χ ˜ g ˜ χ ˜ g ˜ χ

2-body 3-body

Multijet high MET

SLIDE 29

Designing Optimal Regions

Choice of multiple search regions

depends upon

Not something a theorist should be

designing too closely

Scans are expensive for

experiments, providing benchmark theories saves effort

backgrounds
detector efficiencies & acceptances
how good is good enough
etc
We’ve done rough exploration of

corners of parameter space looking for

SLIDE 30

List of Benchmark Models

Chosen to maximize differences in

how they appear in given searches

Simple and easy to define
Consistent theories on their own

mχ± = mχ0 + x(m˜

g − mχ0)

SLIDE 31

Heavy Flavor Susy Jets+MET

˜ χ±

˜ g

m˜

g

˜ χ0

G ˜

W

m˜

χ0

m˜

χ± B: b¯ bχ0 M: t¯

bχ−

J: q¯ qχ0

T: t¯ tχ0

˜ χ0

m˜

χ0

T ˜

B

˜ t

m˜

t

B ˜

B

˜ b

m˜

b

˜ χ0

m˜

χ0

t: tχ0

10 Topologies 2 Topologies Gluinos Squarks Have 3 Free Parameters in Each Topology

2 Masses & Cross Section x BR

SLIDE 32

What are these searches? 2 Normal Light Flavor 2 Normal Heavy Flavor 2 Low BG Heavy Flavor

(searches useful for 1/fb)

Search Region Nj N Nbjet E

T

HT High HT 1 2+ 300 700 High MET 2 4+ 500 900 1 b Low multiplicity 3 2+ 1+ 300 400 1 b High HT 4 4+ 1+ 300 600 3 b 8 4+ 3+ 150 400 b SSDL 9 2+ SSDL 1+ 200

Not surprising, not unique

SLIDE 33

Name m˜

g (GeV) mχ0 (GeV) σreach 1 fb−1 (fb) σreach 5 fb−1 (fb) σreach 15 fb−1 (fb) σ

QCD

prod (fb)

GTT

˜ B

500 115 592 129 44 2310 GTT

˜ B

500 40 428 95 32 2310 GTT

˜ B

650 40 139 65 26 335 GTT

˜ B

800 415 469 129 44 61 GTT

˜ B

800 40 92 27 13 61 GBB

˜ B

100 40 353000 265000 226000 21.2x106 GBB

˜ B

200 15 17800 11400 10400 625000 GBB

˜ B

200 165 3360 3230 3210 625000 GBB

˜ B

350 165 875 591 373 24200 GBB

˜ B

500 40 94 37 24 2310 GBB

˜ B

600 365 236 112 70 617 GBB

˜ B

700 265 57 20 11 186 GBB

˜ B

750 490 153 62 41 106 GBB

˜ B

800 765 4056 1840 1490 61 GBB

˜ B

800 40 42 11 5.2 61 GBB

˜ B

900 540 65 23 13 21 Name m˜

g (GeV) mχ0 (GeV) σreach 1 fb−1 (fb) σreach 5 fb−1 (fb) σreach 15 fb−1 (fb) σ

QCD

prod (fb)

GTB

˜ B

500 115 239 146 92 2310 GTB

˜ B

500 40 175 100 63 2310 GTB

˜ B

650 40 88 29 14 335 GTB

˜ B

800 415 152 59 37 61 GTB

˜ B

800 40 66 17 8.3 61 GTJ

˜ B

450 65 1680 1320 1080 4760 GTJ

˜ B

550 140 653 470 354 1170 GTJ

˜ B

650 40 177 102 83 335 GTJ

˜ B

800 415 349 234 183 61 GTJ

˜ B

800 40 79 39 24 61 GBJ

˜ B

200 165 25000 17900 13000 625000 GBJ

˜ B

200 40 35100 25400 11800 625000 GBJ

˜ B

500 40 311 197 179 2310 GBJ

˜ B

800 765 4120 2960 2510 61 GBJ

˜ B

800 40 58 29 17 61 Name m˜

g (GeV) mχ0 (GeV) σreach 1 fb−1 (fb) σreach 5 fb−1 (fb) σreach 15 fb−1 (fb) σ

QCD

prod (fb)

GTM

˜ W

500 115 422 184 63 2310 GTM

˜ W

500 40 324 126 44 2310 GTM

˜ W

650 40 115 52 25 335 GTM

˜ W

800 415 243 130 66 61 GTM

˜ W

800 40 81 25 12 61 GBM

˜ W

300 45 1370 1180 1010 62100 GBM

˜ W

400 220 2660 1300 619 10400 GBM

˜ W

600 170 113 40 25 617 GBM

˜ W

800 595 1160 452 240 61 GBM

˜ W

800 45 55 15 6.9 61 GMM

˜ W

300 45 3230 695 272 62100 GMM

˜ W

450 270 3190 1530 674 4760 GMM

˜ W

550 45 150 86 51 1170 GMM

˜ W

800 595 1290 727 413 61 GMM

˜ W

800 45 69 21 10 61 Name m˜

g (GeV) mχ0 (GeV) σreach 1 fb−1 (fb) σreach 5 fb−1 (fb) σreach 15 fb−1 (fb) σ

QCD

prod (fb)

T ˜

B

250 15100 9960 5980 180000 T ˜

B

350 50 1970 1500 1104 24200 T ˜

B

500 200 536 349 289 2310 T ˜

B

500 50 240 124 104 2310 T ˜

B

650 350 321 178 144 335 T ˜

B

650 50 96 49 32 335 B ˜

B

100 219000 203000 124000 21.2x106 B ˜

B

200 50 11200 8620 5370 625000 B ˜

B

350 200 2260 1680 1260 24200 B ˜

B

350 50 481 438 427 24200 B ˜

B

400 50 263 209 171 10400 B ˜

B

450 150 230 168 133 4760 B ˜

B

500 350 989 586 348 2310 B ˜

B

500 50 142 71 54 2310 B ˜

B

550 121 65 45 1170 B ˜

B

600 350 233 153 120 617

Benchmarks Distributed Over 10 Topologies

SLIDE 34

More Novel Simplified Models Being Discovered

Gluino-Squark-LSP Simplified Model not studied Stealth Susy

50 100 150 200 250 300 350 Mass GeV⇥

Gluino g Singlino Singlet Gravitino

˜ g ˜ s ˜ G g s g g

Eviscerates MET even with stable LSP

Fan, Reece, Ruderman

E

T m˜

g

2m ˜

S

(m ˜

G δmS ˜ S)

SLIDE 35

Outline

Simplified Models Two Examples

Light Flavored Models Heavy Flavored Models

Future Directions

Stops High Multiplicity Searches Quark/Gluon Tagging

SLIDE 36

Stops

δµ2 = −3y2

top

8π2 m2

stop

H

t

˜ t

H H

t

˜ t

H

δλ = 3y4

top

8π2 log mstop mtop mh0 ≤ MZ0

m2

h0 = 2λv2 = −2µ2

λsusy = 1 8

g2 + g02

cos2 2β

Critical for understanding naturalness

+3a2y4

top

8π2

1 − a2

12

SLIDE 37

Stops look remarkably similar to tops

˜ t → tχ0

100 1000 500 200 300 150 1500 700 10-4 10-3 10-2 0.1 1 10 102 103 104 sparticle mass @GeVD s @pbD t é

1t

é

1

b é

1b

é

1

g ég é

But with a low cross section

pp → t¯ t pp → ˜ t˜ t∗

Cut-and-Count not sufficient Stop Searches

SLIDE 38

Stop Searches It’s not clear whether this simplified model will be effectively explored at the 7TeV LHC Working groups are attempting multivariate analyses

50 100 200 500 1000 2000 5000

300 400 500 600 700 200 400 600 800 1000 mt

é @GeVD

mc0 @GeVD TB

é, 15 fb-1

Reconstructing tops

˜ t → tχ0

SLIDE 39

High Multiplicity Final States

Multi-Top Final States (4 tops ~ 12 jets) Long Cascades (2 Step Cascade ~ 12 jets) UDD R-Parity Violation (~ 10 jets)

Lowers Missing Energy Can’t Calculate Backgrounds Data-Driven Backgrounds have Large errors

dσ(12j) ∼ (αs(µ))12

SLIDE 40

Change Approach Use Large Cone Jets e.g. CA w/ R =1.2 High Multiplicity Event Turns into a Small Multiplicity Event Grouping doesn’t necessarily represent topology

SLIDE 41

How to Distinguish Jet Mass

Jet Masses are now becoming standard tools Historically not used because of UE/PU sensitivity Jet Filtering/Pruning/Trimming Solves Problem

Different methods for removing stray radiation

Stray radiation changes jet mass

SLIDE 42

Jet Filtering at ATLAS

uce nt g

SLIDE 43

Jet Masses are (mostly) Uncorrelated

The probability of getting 1st anomalously massive jet nearly unrelated to getting the 2nd anomalously massive jet 10% to 20% correlations in MC between jet masses Can do data driven estimates of BGs

0.9 1 1 1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.0 0.1 0.2 0.3 0.4 0.5 0.6

m1êpt1 m2êpt2

2 jet event with delta R ≥ 3.5 error < 5%

0.8 0.8 0.9 0.9 1 1 1.1 1.2 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.0 0.1 0.2 0.3 0.4 0.5 0.6

m1êpt1 m2êpt2

2 jet event with delta R between 1-2 error < 5%

∆Rj1j2 > 3 1 < ∆Rj1j2 < 2

<10% <20%

SLIDE 44

Perform searches requiring several jets with anomalously large mass/pTs Top events have few events with mj > 180 GeV

Preliminarily looks like sizable gains in significance are possible mj1 > 200 GeV removes 95%

SLIDE 45

Quark/Gluon Tagging Recent work by Schwartz & Gallicchio

: g =

i∈jet

pi

T

pjet

T

|ri|

0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 1 10

2

10

3

10 charged mult R=0.5 subjet mult Rsub=0.1 mass/Pt R=0.3 girth R=0.5 |pull| R=0.3 planar flow R=0.3 group of 5 best pair charge * girth

ptimal kernel

1st subjet R=0.5 avg kT of Rsub=0.1 decluster kT Rsub=0.1 jet shape Ψ(0.1)

Quark Jet Acceptance Gluon Rejection Gluon Rejection Gluon Rejection

R Ag Abdt 100 22% 23% 30 36% 43% 10 51% 65%

SLIDE 46

BSM Physics Produces Mostly Quark Jets

QCD Mostly Gluons Z/W+jets Mostly Gluons Tops Mostly Quarks

Can enhance S/B by a factor of 5 by requiring double Quark tags

200 400 600 800 1000 MeffHGeVL 10-4 0.001 0.01 0.1 1 s HpbL

Bckg.Z0.nj. TagRate=0.5,Mistag=0.05

2Q 1Q 0Q 200 400 600 800 1000 MeffHGeVL 10-6 10-5 10-4 0.001 0.01 0.1 1 s HpbL

go.GO600.300. TagRate=0.5,Mistag=0.05

2Q 1Q 0Q

Z+jets Gluino Signal

SLIDE 47

Outlook We’re rapidly increasing our knowledge of the TeV scale New physics can be subtle and hidden under backgrounds Joint Theory-Experiment effort to ensure we’re not letting physics hide We don’t have a target to aim at Lots of new techniques to use