opening up jets and missing energy searches · if the amount of energy released is comparable to...
TRANSCRIPT
Opening Up Jets and Missing Energy Searches
December 20, 2007
Jay WackerSLAC
Work in progress withJ. Alwall, M-P. Le, M. Lisanti
IPMU LHC Focus Week
(at the Tevatron)
1
Outline
Introduction
Generalized Gluinos
Matching
Backgrounds
Projected Reach
Outlook
2
High Energy FrontierNo “sure thing” theory to discover
Many BSM possibilities to search forSupersymmetric Standard Model
Universal Extra DimensionsRandall-Sundrum
Little Higgs
Different TeV scale physics, but similar signalsInverse problem hard
Discovery first
Tevatron, Flavor, Precision EW, HiggsLHC may not burst into a superfire
3
Jets plus Missing EnergyA common signature
New Colored Particle Decays to WIMP
Existing searches based upon MSSM
q̃q̃ q̃g̃g̃g̃
Very general template to start from
Can find SSM, UED, RS/LH w/ T-parity
4
1j + ET! 2j + ET! 3j + ET! 4j + ET!ET j1 " 150 " 35 " 35 " 35ET j2 < 35 " 35 " 35 " 35ET j3 < 35 < 35 " 35 " 35ET j4 < 20 < 20 < 20 " 20ET! " 150 " 225 " 150 " 100HT " 150 " 300 " 400 " 300
Table 1: Summary of the cuts used by DO!
object that can cascade into Standard Model particles plus some particles that are di!cultto produce. This prospect leads to a great simplifying assumption at the Tevatron – thereis a the lightest colored particle that can be produced that will subsequently decay into jetsplus a missing singlet. We demonstrate here that there is little reason to include any otherparameters other than the masses of the particles and the production cross section.
The relative masses of the gluino and the bino are the most important quantities toparameterize in the searches for the gluino. The mass of the gluino sets the production crosssection, but also sets the maximum amount of energy that can be released in the decay. Thegluino mass minus the bino mass sets the amount of energy that is released in the decay.If the amount of energy released is comparable to the gluino mass the energy is dividedroughly evenly between the two jets and the bino. This gives rise to the signal of four hardjets plus missing energy. As the mass of the bino increases not only do the jets soften, butthe amount of momentum transferred to the bino decreases.
Spint-chanel squarksCascade decays
3 Gluino Searches
Multijet searches
Selection criteriaCutsComparison between MC + PGS and analyses
Monojets searches
Selection criteriaCutsComparison between MC + PGS and analyses
3
Gg q̃q̃ q̃g̃ g̃g̃
Jets + Missing Energy Cuts at D0
HT =!
ET j(Not exclusive searches)
Will these discover anything visible in these channels?
1fb-1 analysis
5
Gluino Mass (GeV)
0 100 200 300 400 500 600
Sq
ua
rk M
as
s (
Ge
V)
0
100
200
300
400
500
600
-1DØ Preliminary, 0.96 fb
<0µ=0, 0
=3, A!tanU
A1
UA
2
LEP
CD
F IB
DØ
IA
DØ IB
no mSUGRA
solution
CD
F II Slepton & Chargino
limits
What we know about gluino limits
6
mSugra is not representative of the MSSM
Never varies decay kinematics
mg̃ : mB̃ = 6 : 1
Are there visible signals that are not being analyzed?Possible because the background is challenging
Mirage MediationAnomaly Mediation
non-Minimal Gauge Mediation
7
Outline
Introduction
Generalized Gluinos
Matching
Backgrounds
Projected Reach
Outlook
8
Examining g̃g̃ more carefully
The “gluino” module
Turn on one decay mode g̃ ! qq̄!̃0
Keep masses and total cross section freemg̃ m!̃ !(pp̄! g̃g̃X)
Captures many models (MSSM, UED, etc)
Misses heavy flavor and cascades
9
Where has the Tevatron probed “gluinos”?
mg̃
mSugra
Q = 0
m!̃Q = m!̃m g̃
=m !̃
Q = mg̃ !mB̃ > mB̃
10
Two Kinematic Limits
“Normal” Widely Spaced Statesmg̃ ! m!̃
Same multijet searches over the past 20+ years
No cascades, or t-channel squarks
Easy to simulate
11
Degenerate Searchj3
j2g̃
j1
j4
g̃B̃B̃
ET!
Useful when not phase space limited Q = mg̃ !mB̃ > mB̃
Bino carries away energy but not momentum
As gluinos get boosted, jets become collinear and aligned with jetsET! !"j ET! ! 1
!g̃
If Q < mB̃
12
P j1T > 150 GeV
CD
F
P j2T < 60 GeV
P j3T < 20 GeV
ET! > 120 GeV
!"j2ET! > 0.3
g̃
g̃
j1j2
j3
ET!
B̃
B̃
Producing Degenerate Gluinos
Need additional hard jetsWant the spectrum as well
13
P j1T > 150 GeV ET! > 150 GeV
P j2T < 50 GeV !"jET! > 30"D
0g̃
g̃
j1j2
j3
ET!
B̃
B̃
Producing Degenerate Gluinos
Need additional hard jetsWant the spectrum as well
13
P j1T > 150 GeV ET! > 150 GeV
P j2T < 50 GeV !"jET! > 30"D
0g̃
g̃
j1j2
j3
ET!
B̃
B̃
Producing Degenerate Gluinos
Need additional hard jetsWant the spectrum as well
13
Gluinos are produced copiously
106 Events 103 Events 10 Events
14
Searches useful in gluino searches
n j + ET!
mg̃
mSugra
jISR + ET!
Q = 0
m!̃Q = m!̃m g̃
=m !̃
15
Transitions
ET j1
ET j2
35 GeV150 GeV
35 GeV
Fix mg̃ m!0Vary100 GeV 90 GeV! 0
1j + ET!2j + ET!
16
Transitions
ET j1
ET j2
35 GeV150 GeV
35 GeV
Fix mg̃ m!0Vary100 GeV 90 GeV! 0
No ISR ISR
16
Transitions
ET j1
ET j2
35 GeV150 GeV
35 GeV
Fix mg̃ m!0Vary100 GeV 90 GeV! 0
16
Transitions
150 GeV
ET!
HT
150 GeV 225 GeV
300 GeV
Fix mg̃ m!0Vary100 GeV 90 GeV! 0
ET j1
ET j2
35 GeV150 GeV
35 GeV
Reduced efficiency as neutralino mass is decreased
17
Outline
Introduction
Generalized Gluinos
Matching
Backgrounds
Projected Reach
Outlook
18
Calculating Additional Jets
Parton Showering Matrix Elements
QCD Bremstrahlung Soft/Collinear Approximation
Necessary for well-separated jetsIncludes quantum interference
Fixed order calculationComputationally expensiveLimited number of partons
Resums large logsComputationally Cheap
Unlimited number of partons
Matching merges best of both worldsNecessary to avoid double counting
19
g̃!g̃! 2jg̃!g̃! 1jg̃!g̃! 0j
Calculating Additional Jets
g̃g̃ 0j g̃g̃ 1j g̃g̃ 2jMatrix Elements
Parto
n Sh
ower
Dec
ay
g̃g̃ 0j g̃g̃ 1j g̃g̃ 2j
20
0!Differential Jet Rate 1
0 50 100 150 200 25
pb/b
in
-310
-210
-110
1
10
Sum
+ 0-jet sampleg~
g~
+ 1-jet sampleg~
g~
+ 2-jet sampleg~
g~
Q-Cut
Transition from PS to ME
pT
21
1st Jet!DiJet Samples " Matched and UnMatched G150_ 40
50 100 150 200 250 300pT!GeV"
0
100
200
300
400
500
dehctaM
muN
stnevE
!1bf
!1"
50 100 150 200 250 300pT!GeV"
0
100
200
300
400
500
dehctamnU
muN
stnevE
!1bf
!1"
1st Jet!DiJet Samples " Matched and UnMatched G150_ 60
50 100 150 200 250 300pT!GeV"
0
100
200
300
400
500
dehctaM
muN
stnevE
!1bf
!1"
50 100 150 200 250 300pT!GeV"
0
100
200
300
400
500
dehctamnU
muN
stnevE
!1bf
!1"
500500
fb/1
0G
eV
g̃g̃0j
g̃g̃1j
mg̃ = 150 GeV m!̃ = 40 GeV
Effects of Matching on Signal
pT j1 pT j1
Matched Parton Shower Only
50 50250 250
mg̃ = 150 GeV m!̃ = 130 GeV20 8
g̃g̃1j
g̃g̃2j
fb/1
0G
eV
pT j1pT j150 50 250250
22
Outline
Introduction
Generalized Gluinos
Matching
Backgrounds
Projected Reach
Outlook
23
BackgroundsWant to vary cuts to maximize discovery potential
Generate SM events and compare to D0Madgraph Pythia PGS! !
24
BackgroundsWant to vary cuts to maximize discovery potential
Generate SM events and compare to D0
Three Dominant BackgroundsW/Z + jets
t tbar
QCD
Subdominant BackgroundsDiboson
Single top
Madgraph Pythia PGS! !
24
W/Z + jets BackgroundsHit Z+jets to within QCD K-factors
W+jets need a ~30% MET-independent scaling probably PGS efficiency at losing a lepton
25
W/Z + jets BackgroundsHit Z+jets to within QCD K-factors
W+jets need a ~30% MET-independent scaling probably PGS efficiency at losing a lepton
Top BackgroundNeed MET-dependent K-factor
...until matching 2 additional jetstt̄ 2j ! (b!") (b̄!") 2j
25
W/Z + jets BackgroundsHit Z+jets to within QCD K-factors
W+jets need a ~30% MET-independent scaling probably PGS efficiency at losing a lepton
Top BackgroundNeed MET-dependent K-factor
...until matching 2 additional jetstt̄ 2j ! (b!") (b̄!") 2j
QCD BackgroundNo attempt to simulate ET! > 100 GeV
25
(GeV)T
E
0 50 100 150 200 250 300 350 400 450 500
Even
ts / 2
0
1
10
210
310
410
0 50 100 150 200 250 300 350 400 450 500
1
10
210
310
410DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
,any jet) (degrees)TE(min#$
0 20 40 60 80 100 120 140 160 180
Even
ts / 5
0
50
100
150
200
250
300
0 20 40 60 80 100 120 140 160 1800
50
100
150
200
250
300
DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
(GeV)T
H0 100 200 300 400 500 600 700
Even
ts / 5
0
0
2
4
6
8
10
12
14
16
0 100 200 300 400 500 600 7000
2
4
6
8
10
12
14
16DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
(GeV)T
E
0 50 100 150 200 250 300 350 400 450 500
Even
ts / 2
0
-110
1
10
210
310
0 50 100 150 200 250 300 350 400 450 500
-110
1
10
210
310
DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
Before HT ET! cuts2 jet analysis
26
(GeV)T
E
0 50 100 150 200 250 300 350 400 450 500
Ev
en
ts /
20
1
10
210
310
410
0 50 100 150 200 250 300 350 400 450 500
1
10
210
310
410DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
,any jet) (degrees)TE(min#$
0 20 40 60 80 100 120 140 160 180
Ev
en
ts /
5
0
50
100
150
200
250
300
0 20 40 60 80 100 120 140 160 1800
50
100
150
200
250
300
DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
(GeV)T
H0 100 200 300 400 500 600 700
Ev
en
ts /
50
0
2
4
6
8
10
12
14
16
0 100 200 300 400 500 600 7000
2
4
6
8
10
12
14
16DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
(GeV)T
E
0 50 100 150 200 250 300 350 400 450 500
Ev
en
ts /
20
-110
1
10
210
310
0 50 100 150 200 250 300 350 400 450 500
-110
1
10
210
310
DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
Before ET! cuts4 jet analysis
27
(GeV)T
E
0 50 100 150 200 250 300 350 400 450 500
Ev
en
ts /
20
1
10
210
310
410
0 50 100 150 200 250 300 350 400 450 500
1
10
210
310
410DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
,any jet) (degrees)TE(min#$
0 20 40 60 80 100 120 140 160 180
Ev
en
ts /
5
0
50
100
150
200
250
300
0 20 40 60 80 100 120 140 160 1800
50
100
150
200
250
300
DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
(GeV)T
H0 100 200 300 400 500 600 700
Ev
en
ts /
50
0
2
4
6
8
10
12
14
16
0 100 200 300 400 500 600 7000
2
4
6
8
10
12
14
16DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
(GeV)T
E
0 50 100 150 200 250 300 350 400 450 500
Ev
en
ts /
20
-110
1
10
210
310
0 50 100 150 200 250 300 350 400 450 500
-110
1
10
210
310
DØ Preliminary
Data + jets! l"W + jets!! "Z
ttWW,WZ,ZZ
+ jets-
l+
l"Zsingle-tSignal
0 100 200 300 400Missing ET !GeV"
1.
10.
100.
1000.
Events#20
A quick comparison
But how much do we trust this? 30%??
Need to be aware of S/B for counting experiments
28
Outline
Introduction
Generalized Gluinos
Matching
Backgrounds
Projected Reach
Outlook
29
Exclusive Jets + MET Search
1j + ET! 2j + ET! 3j + ET! 4j + ET!ET j1 " 150 " 35 " 35 " 35ET j2 < 35 " 35 " 35 " 35ET j3 < 35 < 35 " 35 " 35ET j4 < 20 < 20 < 20 " 20ET! " 150 " 225 " 150 " 100HT " 150 " 300 " 400 " 300
Table 1: Summary of the cuts used by DO!
object that can cascade into Standard Model particles plus some particles that are di!cultto produce. This prospect leads to a great simplifying assumption at the Tevatron – thereis a the lightest colored particle that can be produced that will subsequently decay into jetsplus a missing singlet. We demonstrate here that there is little reason to include any otherparameters other than the masses of the particles and the production cross section.
The relative masses of the gluino and the bino are the most important quantities toparameterize in the searches for the gluino. The mass of the gluino sets the production crosssection, but also sets the maximum amount of energy that can be released in the decay. Thegluino mass minus the bino mass sets the amount of energy that is released in the decay.If the amount of energy released is comparable to the gluino mass the energy is dividedroughly evenly between the two jets and the bino. This gives rise to the signal of four hardjets plus missing energy. As the mass of the bino increases not only do the jets soften, butthe amount of momentum transferred to the bino decreases.
Spint-chanel squarksCascade decays
3 Gluino Searches
Multijet searches
Selection criteriaCutsComparison between MC + PGS and analyses
Monojets searches
Selection criteriaCutsComparison between MC + PGS and analyses
3
4 Separate Searches, Individually Optimized
Maximize significance for each mg̃,m!̃
30
4+Jets Search
HT
ET! ET! ET!
Standard Model 360, 60 360, 60 (mSugra)
Cascade decays turn missing energy to visible energy
Significantly degrade search
27/cell 7/cell 3/cell
31
ET cut! ET cut!
ET cut! ET cut!
HT
cut
HT
cut H
Tcu
tH
Tcu
tS/B
S/!
B
360,60 mSugra 360,60
> 1< 1
1!2!
5!
<1!
32
HT
ET! ET! ET!
360,120 360, 200Standard Model
At the Boundary of Visibility
20/cell 3/cell 3/cell
Accentuates the difference
33
1!2!
5!
<1!
ET cut! ET cut!
ET cut! ET cut!
HT
cut
HT
cut H
Tcu
tH
Tcu
tS/B
S/!
B
360,120 360, 200
<0.1
1
2
34
m!̃
mg̃
S/B>1
Multijet Searches
Harder cuts than D0
Looser cuts than D0m!̃
mg̃
S/B>0.1
35
The Degenerate Region
Monojet S/B>1
Dijet
m!̃
mg̃
m!̃
mg̃
S/B>1
Good in degenerate region
Fills in some gaps
36
Out[1377]=
100 200 300 400 5000
50
100
150
200
250
300
Gluino Mass !GeV"
Bino
Mass!GeV
"Final Exclusion plot for 2fb-1
m!̃
S/B>0.1
S/B>1
mg̃ Tighter cuts
Looser cuts
mSugra
37
Outline
Introduction
Generalized Gluinos
Matching
Backgrounds
Projected Reach
Outlook
38
Other modules
Have only focused on moduleg̃
q̃ q̃ ! q!
q̃ ! q!, g̃ ! qq̄!q̃g̃
g̃ g̃ ! qq̄!!,!! ! qq̄!
g̃ ! qq̄!!!,!!! ! qq̄!!,!! ! qq̄!g̃
3 parameters
4 parameters
5 parameters
7 parameters
...39
Should be a better way of searchingDon’t want to miss a visible signal
Jets plus MET Searches are effectively:Jet classification criterion
Visible Energy and Missing Energy Cuts
As parameters in a module vary, visible and missing energy change dramatically
40
d2!
dHT dET!!HT !ET!
One ProposalFor each jet multiplicity
Set a limit on
ET!
HT
<5fb
<10fb
<20fb
5+2!2fb
10+3!3fb
10+8!8fb
<2fb
<3fb
<5fb200
400
600
800
100 200 400300
e.g.4 jets
41
We are probing the Energy Frontier
Don’t know what we are looking for
Models are just motivation
We need more model-independent searches
Worst tragedy is to not discover a visible signal
42