precision calculations for bsm physics at the lhcbsm searches at the lhc many model for new physics...
TRANSCRIPT
MPIK Heidelberg, April 2009
Precision calculations for BSM physics at the LHC
Michael Kramer (RWTH Aachen)
Sponsored by:
SFB/TR 9 “Computational Particle Physics”, Helmholtz Alliance “Physics at the Terascale”, BMBF-Theorie-
Verbund, Marie Curie Research Training Network “Heptools”, Graduiertenkolleg “Elementarteilchenphysik
an der TeV-Skala”
page 1
Why precision calculations for LHC physics?
We do not need theory input for LHC discoveries
8000
6000
4000
2000
080 100 120 140
mγγ (GeV)
Higgs signal
Eve
nts
/ 500
MeV
for
105
pb-
1
HSM γγ
Simulated 2γ mass plotfor 105 pb-1 mH =130 GeV
in the lead tungstate calorimeter
D_D
_105
5c
CMS, 105 pb-1
but only if we see a resonance. . .
page 2
Why precision calculations for LHC physics?
We do not need theory input for LHC discoveries
8000
6000
4000
2000
080 100 120 140
mγγ (GeV)
Higgs signal
Eve
nts
/ 500
MeV
for
105
pb-
1
HSM γγ
Simulated 2γ mass plotfor 105 pb-1 mH =130 GeV
in the lead tungstate calorimeter
D_D
_105
5c
CMS, 105 pb-1
but only if we see a resonance. . .
page 2
Contents
Why precision calculations for LHC physics?
– lessons from the past
– prospects: SUSY searches at the LHC
page 3
Contents
Why precision calculations for LHC physics?
– lessons from the past
– prospects: SUSY searches at the LHC
page 4
Why precision calculations for LHC physics?
Tevatron jet cross section at large ET
Et (GeV)-0.5
0
0.5
1
(Dat
a - T
heor
y)/ T
heor
y
200 300 40010050
CTEQ3MCDF (Preliminary) * 1.03D0 (Preliminary) * 1.01
page 5
Why precision calculations for LHC physics?
Tevatron jet cross section at large ET
Et (GeV)-0.5
0
0.5
1
(Dat
a - T
heor
y)/ T
heor
y
200 300 40010050
CTEQ3MCDF (Preliminary) * 1.03D0 (Preliminary) * 1.01
⇒ new physics? + ?
page 6
Why precision calculations for LHC physics?
Tevatron jet cross section at large ET
Et (GeV)-0.5
0
0.5
1
(Dat
a - T
heor
y)/ T
heor
y
200 300 40010050
CTEQ3MCDF (Preliminary) * 1.03D0 (Preliminary) * 1.01
LBSM ⊇g2
M2ψγµψ ψγµψ ⇒
data − theory
theory∝ g2 E
2T
M2
page 7
Why precision calculations for LHC physics?
Tevatron jet cross section at large ET
(GeV)TInclusive Jet E0 100 200 300 400 500 600
(nb/
GeV
)η
d T /
dEσ2
d
10-8
10-7
10-6
10-5
10-4
10-3
10-2
10-11
10
102
CDF Run II PreliminaryIntegrated L = 85 pb-1
0.1 < |ηDet| < 0.7JetClu Cone R = 0.7
Run II DataCTEQ 6.1 Uncertainty+/- 5% Energy Scale Uncertainty
⇒ just QCD. . . (uncertainty in gluon pdf at large x)
page 8
Why precision calculations for LHC physics?
Tevatron bottom quark cross section
[D0, PLB 487 (2000)]
⇒ new physics?
page 9
Why precision calculations for LHC physics?
Tevatron bottom quark cross section
[Berger et al., PRL 86 (2001)]
10-1
1
10
10 2
10 3
10 4
10 5
10 102
SumQCDg → b~
D0 Data
CDF Data
√S = 1.8 TeV
mg = 14 GeV
mb = 3.5 GeV
mb = 4.75 GeV
~
~
pT (GeV)min
σ b(p T
≥ p
T )
(nb
)m
in
⇒ light gluino/sbottom production?
page 10
Why precision calculations for LHC physics?
Tevatron bottom quark cross section
[Mangano, AIP Conf.Proc, 2005]
⇒ just QCD. . . (αs, low-x gluon pdf, b→ B fragmentation & exp. analyses)
page 11
Why precision calculations for LHC physics?
Signals of discovery include
– mass peaks
– anomalous shapes of kinematic distributions
e.g. jet production at large ET
– excess of events after kinematic selection
e.g. bottom cross section
page 12
Why precision calculations for LHC physics?
Signals of discovery include
– mass peaks
– anomalous shapes of kinematic distributionse.g. jet production at large ET
– excess of events after kinematic selectione.g. bottom cross section
page 12
Why precision calculations for LHC physics?
Signals of discovery include
– mass peakse.g. Higgs searches in H → γγ/ZZ∗ final states
– anomalous shapes of kinematic distributionse.g. SUSY searches in multijet + ET,miss final states
– excess of events after kinematic selectione.g. Higgs searches in H → WW ∗ final states
Experiments measure multi-parton final states in restricted phase space region
→ Need flexible and realistic precision calculations
precise → including loops & many legs
flexible → allowing for exclusive cross sections & phase space cuts
realistic → matched with parton showers and hadronization
page 13
Why precision calculations for LHC physics?
Signals of discovery include
– mass peakse.g. Higgs searches in H → γγ/ZZ∗ final states
– anomalous shapes of kinematic distributionse.g. SUSY searches in multijet + ET,miss final states
– excess of events after kinematic selectione.g. Higgs searches in H → WW ∗ final states
Experiments measure multi-parton final states in restricted phase space region
→ Need flexible and realistic precision calculations
precise → including loops & many legs
flexible → allowing for exclusive cross sections & phase space cuts
realistic → matched with parton showers and hadronization
page 13
Contents
Why precision calculations for LHC physics?
– lessons from the past
– prospects: SUSY searches at the LHC
page 14
BSM searches at the LHC
Many model for new physics are addressing two problems:
– the hierarchy/naturalness problem
– the origin of dark matter
→ spectrum of new particles at the TeV-scale with weakly interacting & stable particle
→ generic BSM signature at the LHC involves cascade decays with missing energy,
eg. supersymmetry
D_D
_204
7.c.
1
q
q
q
q
q~
~
~
~
—
—
—b
b
l+
l+
g
~g
W— W+t
t
t1
ν
χ1
~χ10
~χ20
Gluino/squark production event topology al lowing sparticle mass reconstruction
3 isolated leptons+ 2 b-jets+ 4 jets
+ Etmiss
~l
+
l-
Such cascade decays allow to reconstructsleptons, neutralinos, squarks, gluinos...in favorable cases with %level mass resolutions
page 15
BSM searches at the LHC
Many model for new physics are addressing two problems:
– the hierarchy/naturalness problem
– the origin of dark matter
→ spectrum of new particles at the TeV-scale with weakly interacting & stable particle
→ generic BSM signature at the LHC involves cascade decays with missing energy,
eg. supersymmetry
D_D
_204
7.c.
1
q
q
q
q
q~
~
~
~
—
—
—b
b
l+
l+
g
~g
W— W+t
t
t1
ν
χ1
~χ10
~χ20
Gluino/squark production event topology al lowing sparticle mass reconstruction
3 isolated leptons+ 2 b-jets+ 4 jets
+ Etmiss
~l
+
l-
Such cascade decays allow to reconstructsleptons, neutralinos, squarks, gluinos...in favorable cases with %level mass resolutions
page 15
BSM searches at the LHC
• simple discriminant for SUSY
searches: effective mass
Meff = ET,miss +∑4
i=1 pjetT
• excess of events with large Meff
→ initial discovery of SUSY
LHC Point 5
10-13
10-12
10-11
10-10
10-9
10-8
10-7
0 1000 2000 3000 4000Meff (GeV)
dσ/d
Mef
f (m
b/40
0 G
eV)
page 16
BSM searches at the LHC
• simple discriminant for SUSY
searches: effective mass
Meff = ET,miss +∑4
i=1 pjetT
• excess of events with large Meff
→ initial discovery of SUSY
Modern LO Monte Carlo tools predict much larger multi-jet background
What will disagreement between Monte Carlo and data mean?
→ Need precision NLO calculations to tell!
page 17
BSM searches at the LHC
• simple discriminant for SUSY
searches: effective mass
Meff = ET,miss +∑4
i=1 pjetT
• excess of events with large Meff
→ initial discovery of SUSY
Modern LO Monte Carlo tools predict much larger multi-jet background
What will disagreement between Monte Carlo and data mean?
→ Need precision NLO calculations to tell!
page 17
Precision calculations for BSM physics at the LHC
no excess over SM expectations
→ exclude models / set limits on model parameters
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
exploring BSM models (later LHC phase)
→ determine masses & spins
page 18
Precision calculations for BSM physics at the LHC
no excess over SM expectations
→ exclude models / set limits on model parameters
)2 (GeV/cg~
M0 100 200 300 400 500 600
)2 (G
eV/c
q~M
0
100
200
300
400
500
600CDF Run II Preliminary -1L=2.0 fb
no mSUGRAsolution
LEP 1 + 2
UA
1
UA
2
FNAL Run I
g~
= Mq~M
)2 (GeV/cg~
M0 100 200 300 400 500 600
)2 (G
eV/c
q~M
0
100
200
300
400
500
600observed limit 95% C.L.expected limit
<0µ=5, β=0, tan0A
Theoretical uncertainties includedin the calculation of the limit
→ needs accurate theoretical predictions
page 19
SUSY particle production at hadron colliders
SUSY particles would be producedcopiously at hadron colliders viaQCD processes, eg.
g
g
SUSY signal LHC −→
σ(qq + gg + gq) ≈ 2 nb (Mq,g ≈ 300 GeV)
0.1 1 1010-7
10-6
10-5
10-4
10-3
10-2
10-1
100
101
102
103
104
105
106
107
108
109
10-7
10-6
10-5
10-4
10-3
10-2
10-1
100
101
102
103
104
105
106
107
108
109
σjet(ETjet > √s/4)
LHCTevatron
σttbar
σHiggs(MH = 500 GeV)
σZ
σjet(ETjet > 100 GeV)
σHiggs(MH = 150 GeV)
σW
σjet(ETjet > √s/20)
σbbar
σtot
σ (n
b)
√s (TeV)
even
ts/s
ec f
or L
= 1
033 c
m-2
s-1
page 20
SUSY particle production at hadron colliders
SUSY particles would be producedcopiously at hadron colliders viaQCD processes, eg.
g
g
SUSY signal LHC −→
σ(qq + gg + gq) ≈ 2 nb (Mq,g ≈ 300 GeV)
0.1 1 1010-7
10-6
10-5
10-4
10-3
10-2
10-1
100
101
102
103
104
105
106
107
108
109
10-7
10-6
10-5
10-4
10-3
10-2
10-1
100
101
102
103
104
105
106
107
108
109
σjet(ETjet > √s/4)
LHCTevatron
σttbar
σHiggs(MH = 500 GeV)
σZ
σjet(ETjet > 100 GeV)
σHiggs(MH = 150 GeV)
σW
σjet(ETjet > √s/20)
σbbar
σtot
σ (n
b)
√s (TeV)
even
ts/s
ec f
or L
= 1
033 c
m-2
s-1
page 20
SUSY particle production at hadron colliders
SUSY particles would be producedcopiously at hadron colliders viaQCD processes, eg.
g
g
SUSY signal Tevatron −→
σ(qq + gg + gq) ≈ 2 nb (Mq,g ≈ 300 GeV)
0.1 1 1010-7
10-6
10-5
10-4
10-3
10-2
10-1
100
101
102
103
104
105
106
107
108
109
10-7
10-6
10-5
10-4
10-3
10-2
10-1
100
101
102
103
104
105
106
107
108
109
σjet(ETjet > √s/4)
LHCTevatron
σttbar
σHiggs(MH = 500 GeV)
σZ
σjet(ETjet > 100 GeV)
σHiggs(MH = 150 GeV)
σW
σjet(ETjet > √s/20)
σbbar
σtot
σ (n
b)
√s (TeV)
even
ts/s
ec f
or L
= 1
033 c
m-2
s-1
page 21
SUSY particle production at hadron colliders
MSSM sparticle pair production at NLO (Beenakker, Hopker, MK, Plehn, Spira, Zerwas)
− squarks & gluinos pp/pp→ q¯q, gg, qg
− stops pp/pp→ tt
− gauginos pp/pp→ χ0χ0, χ±χ0, χ+χ−
− sleptons pp/pp→ ll
− associated production pp/pp→ qχ, gχ
References of LO calculations:
Kane, Leveille, ’82; Harrison, Llewellyn Smith, ’83; Reya, Roy, ’85; Dawson, Eichten, Quigg, ’85; Baer, Tata, ’85,. . .
page 22
SUSY particle production at hadron colliders
MSSM sparticle pair production at NLO (Beenakker, Hopker, MK, Plehn, Spira, Zerwas)
− squarks & gluinos pp/pp→ q¯q, gg, qg
− stops pp/pp→ tt
− gauginos pp/pp→ χ0χ0, χ±χ0, χ+χ−
− sleptons pp/pp→ ll
− associated production pp/pp→ qχ, gχ
References of LO calculations:
Kane, Leveille, ’82; Harrison, Llewellyn Smith, ’83; Reya, Roy, ’85; Dawson, Eichten, Quigg, ’85; Baer, Tata, ’85,. . .
page 23
Example: Top-squark production
LO graphs
q
q
g
t1
¯t1
g
g
σLO[gg] =α2
sπ
s
[β
(5
48+
31m2
24s
)+
(2m2
3s+
m4
6s2
)log
1 − β
1 + β
](β2=1−4m2/s)
⇒ no MSSM parameter dependence
pp cross section: σ = Fnon−pert.(µ) ⊗(C0α
Bs (µ) + C1(µ)αB+1
s (µ) + . . .)pert.
Scale dependence through factorization of IR contributions and renormalization of UV contributions
LO scale dependence
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1
LO
NLO
LO
σ(pp– → t1t
−1+X) [pb]
LO
σ(pp → t1t−1+X) [pb]
µ/m(t1)
µ/m(t1)
√s=2 TeV; m(t1) = 200 GeV
→ theoretical uncertainty ≈ ±100% at LO
⇒ must include NLO corrections
page 24
Example: Top-squark production
LO graphs
q
q
g
t1
¯t1
g
g
σLO[gg] =α2
sπ
s
[β
(5
48+
31m2
24s
)+
(2m2
3s+
m4
6s2
)log
1 − β
1 + β
](β2=1−4m2/s)
⇒ no MSSM parameter dependence
pp cross section: σ = Fnon−pert.(µ) ⊗(C0α
Bs (µ) + C1(µ)αB+1
s (µ) + . . .)pert.
Scale dependence through factorization of IR contributions and renormalization of UV contributions
LO scale dependence
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1
LO
NLO
LO
σ(pp– → t1t
−1+X) [pb]
LO
σ(pp → t1t−1+X) [pb]
µ/m(t1)
µ/m(t1)
√s=2 TeV; m(t1) = 200 GeV
→ theoretical uncertainty ≈ ±100% at LO
⇒ must include NLO corrections
page 24
Example: Top-squark production
LO graphs
q
q
g
t1
¯t1
g
g
σLO[gg] =α2
sπ
s
[β
(5
48+
31m2
24s
)+
(2m2
3s+
m4
6s2
)log
1 − β
1 + β
](β2=1−4m2/s)
⇒ no MSSM parameter dependence
pp cross section: σ = Fnon−pert.(µ) ⊗(C0α
Bs (µ) + C1(µ)αB+1
s (µ) + . . .)pert.
Scale dependence through factorization of IR contributions and renormalization of UV contributions
LO scale dependence
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1
LO
NLO
LO
σ(pp– → t1t
−1+X) [pb]
LO
σ(pp → t1t−1+X) [pb]
µ/m(t1)
µ/m(t1)
√s=2 TeV; m(t1) = 200 GeV
→ theoretical uncertainty ≈ ±100% at LO
⇒ must include NLO corrections
page 24
Example: Top-squark production
LO graphs
q
q
g
t1
¯t1
g
g
σLO[gg] =α2
sπ
s
[β
(5
48+
31m2
24s
)+
(2m2
3s+
m4
6s2
)log
1 − β
1 + β
](β2=1−4m2/s)
⇒ no MSSM parameter dependence
pp cross section: σ = Fnon−pert.(µ) ⊗(C0α
Bs (µ) + C1(µ)αB+1
s (µ) + . . .)pert.
Scale dependence through factorization of IR contributions and renormalization of UV contributions
NLO scale dependence (Beenakker, MK, Plehn, Spira, Zerwas)
0.1
0.2
0.3
0.4
0.5
0.6
0.7
1
LO
NLO
LO
σ(pp– → t1t
−1+X) [pb]
LO
NLO
σ(pp → t1t−1+X) [pb]
µ/m(t1)
µ/m(t1)
√s=2 TeV; m(t1) = 200 GeV
→ theoretical uncertainty ≈ ±15% at NLO
page 25
Top-squark searches
Top-squark search in pp→ t1¯t1 → cχ0
1cχ01 channel (CDF PRD 2007)
)2) (GeV/c1t~M(
70 80 90 100 110 120 130 140 150
(pb)
2)) 10 χ∼
c→ 1t~
(BR
(×) 1t~ 1t~
→ p(pσ
1
10
102
CDF Upper Limit, 95% CLObservedExpected
Theory Cross Section (Prospino)NLO
Uncertainty (scale+PDF)
)-1CDF Run II Preliminary (295 pb
2)=50 GeV/c10χ∼M(
⇒ 105 GeV ≤Mt1≤ 130 GeV
page 26
Top-squark searches
Top-squark search in pp→ t1¯t1 → cχ0
1cχ01 channel (CDF PRD 2007)
)2) (GeV/c1t~M(
70 80 90 100 110 120 130 140 150
(pb)
2)) 10 χ∼
c→ 1t~
(BR
(×) 1t~ 1t~
→ p(pσ
1
10
102
CDF Upper Limit, 95% CLObservedExpected
Theory Cross Section (Prospino)NLO
Uncertainty (scale+PDF)
)-1CDF Run II Preliminary (295 pb
2)=50 GeV/c10χ∼M(
⇒ 105 GeV ≤Mt1≤ 130 GeV
page 26
Top-squark searches
Top-squark search in pp→ t1¯t1 → cχ0
1cχ01 channel (CDF PRD 2007)
→ no exclusion based on LO cross sections
page 27
MSSM particle production at the LHC
NLO SUSY-QCD corrections for MSSM particle production at hadron colliders
→ public code PROSPINO (Beenakker, Hopker, MK, Plehn, Spira, Zerwas)
10-2
10-1
1
10
10 2
10 3
100 150 200 250 300 350 400 450 500
⇑
⇑ ⇑ ⇑
⇑
⇑⇑
χ2oχ1
+
t1t−1
qq−
gg
νν−
χ2og
χ2oq
NLOLO
√S = 14 TeV
m [GeV]
σtot[pb]: pp → gg, qq−, t1t
−1, χ2
oχ1+, νν
−, χ2
og, χ2oq
References: Beenakker, Hopker, Spira, Zerwas, 1995, 1997; Beenakker, MK, Plehn, Spira, Zerwas, 1998; Baer, Hall, Reno, 1998; Beenakker, Klasen,
MK, Plehn, Spira, Zerwas, 1999; Beenakker, MK, Plehn, Spira, Zerwas, 2000; Berger, Klasen, Tait, 1999-2002; Beenakker, MK, Plehn, Spira, Zerwas,
2007
page 28
Current limits on sparticle masses
)2Gluino Mass (GeV/c0 100 200 300 400 500 600
)2S
quar
k M
ass
(GeV
/c
0
100
200
300
400
500
600-1DØ Run II Preliminary L=310 pb
UA
1
UA
2
LEP 1+2
CD
F IB
DØ
IA
DØ IB
DØ II
)10χ∼)<m(q~m(
no mSUGRA
solution+/
-χ∼
LEP
2
l~LEP2
mass limits (roughly)
Mg ∼> 250 GeV
Mq ≈Mgluino ∼> 400 GeV
Mt1 ∼> 100 GeV
Mχ01 ∼> 50 GeV
Mχ±
1 ∼> 100 GeV
Msleptons ∼> 100 GeV
page 29
Precision calculations for BSM physics at the LHC
no excess over SM expectations
→ exclude models / set limits on model parameters
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
exploring BSM models (later LHC phase)
→ determine masses & spins
page 30
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
“look-alike models” (Hubisz, Lykken, Pierini, Spiropulu)
]
2m
ass [
GeV
/c
0
100
200
300
400
500
600
700
800
900
1000 LH2 NM6 NM4 CS7
HA
HWHZ
HidH
iu
0
1χ∼
±1
χ∼02
χ∼
Rd~Lu~Ru~Ld~
g~
1τ∼ Rl~
01
χ∼
±1
χ∼02
χ∼Ru~Rd~Lu~
1τ∼Ld~Rl
~
g~
0
1χ∼
1τ∼Rl~
±1
χ∼0
2χ∼
g~
Rd~ Ru~Lu~ Ld~
– Little Higgs model LH2 and
SUSY models NM4 and CS7
give same number of events
after cuts
– “twin models” LH2 and NM6
(SUSY) have different cross
sections and event counts
→ distinguish models with
same spectrum but different
spins through event count
page 31
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
“look-alike models” (Hubisz, Lykken, Pierini, Spiropulu)
]
2m
ass [
GeV
/c
0
100
200
300
400
500
600
700
800
900
1000 LH2 NM6 NM4 CS7
HA
HWHZ
HidH
iu
0
1χ∼
±1
χ∼0
2χ∼
Rd~Lu~Ru~Ld~
g~
1τ∼ Rl~
0
1χ∼
±1
χ∼02
χ∼Ru~Rd~Lu~
1τ∼Ld~Rl
~
g~
0
1χ∼
1τ∼Rl~
±1
χ∼0
2χ∼
g~
Rd~ Ru~Lu~ Ld~
– Little Higgs model LH2 and
SUSY models NM4 and CS7
give same number of events
after cuts
– “twin models” LH2 and NM6
(SUSY) have different cross
sections and event counts
→ distinguish models with
same spectrum but different
spins through event count
page 31
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
“look-alike models” (Hubisz, Lykken, Pierini, Spiropulu)
]
2m
ass [
GeV
/c
0
100
200
300
400
500
600
700
800
900
1000 LH2 NM6 NM4 CS7
HA
HWHZ
HidH
iu
0
1χ∼
±1
χ∼0
2χ∼
Rd~Lu~Ru~Ld~
g~
1τ∼ Rl~
0
1χ∼
±1
χ∼02
χ∼Ru~Rd~Lu~
1τ∼Ld~Rl
~
g~
0
1χ∼
1τ∼Rl~
±1
χ∼0
2χ∼
g~
Rd~ Ru~Lu~ Ld~
– Little Higgs model LH2 and
SUSY models NM4 and CS7
give same number of events
after cuts
– “twin models” LH2 and NM6
(SUSY) have different cross
sections and event counts
→ distinguish models with
same spectrum but different
spins through event count
page 31
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
“ancient wisdom”: cross sections depend on spin, e.g.
q + q → q + ¯qq
q
g
t1
¯t1
g
t
t t1
¯t1
σLO[qq → q¯q] =α2
sπ
s
4
27β3 (β2 = 1 − 4m2/s)
c.f. top production:
σLO[qq → QQ] =α2
sπ
s
8
27
(s+ 2m2)
s2β
→ σtop/σstop ∼ 10 at the Tevatron
page 32
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
“ancient wisdom”: cross sections depend on spin, e.g.
q + q → q + ¯qq
q
g
t1
¯t1
g
t
t t1
¯t1
σLO[qq → q¯q] =α2
sπ
s
4
27β3 (β2 = 1 − 4m2/s)
c.f. top production:
σLO[qq → QQ] =α2
sπ
s
8
27
(s+ 2m2)
s2β
→ σtop/σstop ∼ 10 at the Tevatron
page 32
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
“ancient wisdom”: cross sections depend on spin
(Kane, Petrov, Shao, Wang)
160 170 180 190 200mass HGeVL
0.5
1
5
10
50
100
CrossSection
HpbL
tst�s
tt�
CDFD0
→ no production of scalar quarks (assuming same mass and couplings as top. . . )
page 33
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
how to discriminate “look-alike models”? (Hubisz, Lykken, Pierini, Spiropulu)
(GeV/c)T
p0 100 200 300 400 500 600 700 800 900 1000
num
ber
of e
vent
s
0
200
400
600
800
1000
1200
1400– consider ratios of event counts, e.g.
σ(pT > 250, 500, . . . GeV)/σ
→ systematic uncertainties cancel
→ normalization important
– NLO affects shape of distributions:
K ≡σNLO(pp → tt)
σLO(pp → tt)
=
1.4 (pT > 100 GeV)
0.5 (pT > 1000 GeV)
→ no proper tools to perform realistic NLO analysis of BSM decay chains
page 34
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
how to discriminate “look-alike models”? (Hubisz, Lykken, Pierini, Spiropulu)
(GeV/c)T
p0 100 200 300 400 500 600 700 800 900 1000
num
ber
of e
vent
s
0
200
400
600
800
1000
1200
1400– consider ratios of event counts, e.g.
σ(pT > 250, 500, . . . GeV)/σ
→ systematic uncertainties cancel
→ normalization important
– NLO affects shape of distributions:
K ≡σNLO(pp → tt)
σLO(pp → tt)
=
1.4 (pT > 100 GeV)
0.5 (pT > 1000 GeV)
→ no proper tools to perform realistic NLO analysis of BSM decay chains
page 34
Precision calculations for BSM physics at the LHC
excess in inclusive jets + ET,miss signal (early LHC phase)
→ discriminate BSM models
how to discriminate “look-alike models”? (Hubisz, Lykken, Pierini, Spiropulu)
(GeV/c)T
p0 100 200 300 400 500 600 700 800 900 1000
num
ber
of e
vent
s
0
200
400
600
800
1000
1200
1400– consider ratios of event counts, e.g.
σ(pT > 250, 500, . . . GeV)/σ
→ systematic uncertainties cancel
→ normalization important
– NLO affects shape of distributions:
K ≡σNLO(pp → tt)
σLO(pp → tt)
=
1.4 (pT > 100 GeV)
0.5 (pT > 1000 GeV)
→ no proper tools to perform realistic NLO analysis of BSM decay chains
page 34
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
Mass measurements from cascade decays, e.g.
��
��� � �� �
�� �
��
�
���� �
��� �� �
Allanach et al.
0
500
1000
1500
0 20 40 60 80 100 m(ll) (GeV)
Eve
nts/
1 G
eV/1
00 fb
-1
→ kinematic endpoint (mmaxll )2 = (m2
χ02
−m2
lR)(m2
lR−m2
χ01
)/(m2
lR)
sensitive to mass differences
page 35
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
Mass measurements from total rate, e.g. gluino mass in SUSY models with heavy
scalars (FP dark matter scenarios)
LO
NLO
σ(pp→ gg + X) [pb]
mg[GeV]
140012001000800600
10
1
0.1
0.01
0.001
mgluino =
{785 ± 35 (LO)
870 ± 15 (NLO)
page 36
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
Mass measurements from total rate, e.g. gluino mass in SUSY models with heavy
scalars (FP dark matter scenarios)
(Baer, Barger, Shaunghnessy, Summy, Wang)
1000 1500 2000mg~
0
10
20
30
40
σ (f
b)
TH100 fb-1 errorTH ±15%TH ±15% ±100%BGBG
LE
P2 e
xclu
ded
→ ∆mgluino = ±8%
page 37
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
no spin correlations:
0
0.5
1
1.5
2
0 50 100 150 200 250 300
tree unpol. dσ/dmql+near
mql+near[GeV]
page 38
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
with spin correlations:
0
0.5
1
1.5
2
0 50 100 150 200 250 300
tree pol.tree unpol
dσ/dmql+near
mql+near[GeV]
cannot determine mql+neardistribution experimentally
→ consider charge asymmetry A = (dσ/dmql+ − dσ/dmql−)/(dσ/dmql+ + dσ/dmql−)
page 39
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
with spin correlations:
0
0.5
1
1.5
2
0 50 100 150 200 250 300
tree pol.tree unpol
dσ/dmql+near
mql+near[GeV]
cannot determine mql+neardistribution experimentally
→ consider charge asymmetry A = (dσ/dmql+ − dσ/dmql−)/(dσ/dmql+ + dσ/dmql−)
page 39
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
(Barr)
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0 100 200 300 400 500mlq / GeV
A+-
cannot determine mql+neardistribution experimentally
→ consider charge asymmetry A = (dσ/dmql+ − dσ/dmql−)/(dσ/dmql+ + dσ/dmql−)
page 40
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
with spin correlations:
0
0.5
1
1.5
2
0 50 100 150 200 250 300
tree pol.tree unpol
dσ/dmql+near
mql+near[GeV]
page 41
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
with spin correlations @ NLO:
0
0.5
1
1.5
2
0 50 100 150 200 250 300
tree pol.tree unpolNLO pol
dσ/dmql+near
mql+near[GeV]
→ radiative corrections affect shape of distributions (Horsky, MK, Muck, Zerwas)
page 42
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
qL
qL
lR-
χ20
lR+ (near)
lR- (far)
χ10
(Horsky, MK, Muck, Zerwas)
A (NLO)A (Born)
Mql
350300250200150100500
1
0.5
0
−0.5
−1
consider charge asymmetry A = (dσ/dmql+ − dσ/dmql−)/(dσ/dmql+ + dσ/dmql−)
→ radiative corrections cancel in charge asymmetry
page 43
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
consider invariant jet-mass distributions in decay chains like
pp→ g + g → qqR + qqL → qqχ01 + qqχ0
2
g
g
q
q
q
q
→ information on gluino spin in jet event shapes (MK, Popenda, Spira, Zerwas)
page 44
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins
consider invariant jet-mass distributions in decay chains like
pp→ g + g → qqR + qqL → qqχ01 + qqχ0
2
uRuL :< Mjet >= 102 GeVuRuR :< Mjet >= 116 GeV
without spin correlations: < Mjet >= 116 GeV
with the lowest pT
Mjet calulated from the two jets
mχ1/2= 98/184 GeV
muR/L= 547/565 GeV
mg = 607 GeVSPS1a’:
1/σtot dσ/dMjet (g(→ uu(→ uχ))g(→ uu(→ uχ)) [1/GeV]
Mjet[GeV]
5004003002001000
0.01
0.009
0.008
0.007
0.006
0.005
0.004
0.003
0.002
0.001
→ information on gluino spin in jet event shapes (MK, Popenda, Spira, Zerwas)
page 45
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins . . . or the number of extra dimensions?
consider graviton production in ADD scenarios (Arkani-Hamed, Dimopoulos, Dvali)
pp→ G+ jet → monojet signature
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
101
� � � � � � � � � � � � � � � �
pmissT ��� � � �
dσ
dpmiss
T
[pb/GeV]
Z + jet� � �� !" # $ % # �& $
δ = 3, Ms = 5TeVδ = 4, Ms = 5TeVδ = 5, Ms = 5TeV
→ determine number of extra dimensions δ?page 46
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins . . . or the number of extra dimensions?
consider graviton production in ADD scenarios (Arkani-Hamed, Dimopoulos, Dvali)
pp→ G+ jet → monojet signature
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
101
' ( ' ' ) ' ' ' ) ( ' ' * ' ' '
pmissT +�, - . /
dσ
dpmiss
T
[pb/GeV]
Z + jet, 0 12 3 45 6 7 3 8 6 19 7
δ = 3, Ms = 5TeVδ = 4, Ms = 5TeVδ = 5, Ms = 5TeV
→ spoiled by QCD uncertainties. . .page 47
Precision calculations for BSM physics at the LHC
exploring BSM models (later LHC phase)
→ determine masses & spins . . . or the number of extra dimensions?
consider graviton production in ADD scenarios (Arkani-Hamed, Dimopoulos, Dvali)
pp→ G+ jet → monojet signature
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
101
: ; : : < : : : < ; : : = : : :
pmissT >�? @ A B
dσ
dpmiss
T
[pb/GeV]
Z + jet? C DE F GH I J F K I DL J
δ = 3, Ms = 5TeVδ = 4, Ms = 5TeVδ = 5, Ms = 5TeV
→ include NLO-QCD corrections (Karg, MK, Li, Zeppenfeld, in progress)
page 48
Progress in SUSY precision calculations at the LHC
Sparticle production cross sections
– NLO QCD → Prospino: Beenakker, Hopker, MK, Plehn, Spira, Zerwas(cf. Baer, Hall, Reno; Berger, Klasen, Tait)
– threshold summation for Mq , Mg∼> 1 TeV
(Bozzi, Fuks, Klasen; Kulesza, Motyka; Langenfeld, Moch;Beenakker, Brensing, MK, Kulesza, Laenen, Niessen)
– electroweak corrections(Hollik, Kollar, Mirabella, Trenkel; Bornhauser, Drees, Dreiner, Kim;Beccaria, Macorini, Panizzi, Renard, Verzegnassi)
– beyond MSSM: NLO QCD for RPV SUSY(Debajyoti Choudhury, Swapan Majhi, V. Ravindran; Yang, Li, Liu, Li; Dreiner, Grab, MK, Trenkel)
Sparticle decays
– total rates → Sdecay: (Muhlleitner, Djouadi, Mambrini) plus work by many authors. . . ...
– only few results for shapes (Drees, Hollik, Xu; Horsky, MK, Muck, Zerwas)
Sparticle production ⊕ decay: generic BSM cascades (SUSY, UEDs, LH,. . . )
– so far only tree level → challenge for LHC theory community. . .
page 49
Progress in SUSY precision calculations at the LHC
Sparticle production cross sections
– NLO QCD → Prospino: Beenakker, Hopker, MK, Plehn, Spira, Zerwas(cf. Baer, Hall, Reno; Berger, Klasen, Tait)
– threshold summation for Mq , Mg∼> 1 TeV
(Bozzi, Fuks, Klasen; Kulesza, Motyka; Langenfeld, Moch;Beenakker, Brensing, MK, Kulesza, Laenen, Niessen)
– electroweak corrections(Hollik, Kollar, Mirabella, Trenkel; Bornhauser, Drees, Dreiner, Kim;Beccaria, Macorini, Panizzi, Renard, Verzegnassi)
– beyond MSSM: NLO QCD for RPV SUSY(Debajyoti Choudhury, Swapan Majhi, V. Ravindran; Yang, Li, Liu, Li; Dreiner, Grab, MK, Trenkel)
Sparticle decays
– total rates → Sdecay: (Muhlleitner, Djouadi, Mambrini) plus work by many authors. . . ...
– only few results for shapes (Drees, Hollik, Xu; Horsky, MK, Muck, Zerwas)
Sparticle production ⊕ decay: generic BSM cascades (SUSY, UEDs, LH,. . . )
– so far only tree level → challenge for LHC theory community. . .
page 49
Progress in SUSY precision calculations at the LHC
Sparticle production cross sections
– NLO QCD → Prospino: Beenakker, Hopker, MK, Plehn, Spira, Zerwas(cf. Baer, Hall, Reno; Berger, Klasen, Tait)
– threshold summation for Mq , Mg∼> 1 TeV
(Bozzi, Fuks, Klasen; Kulesza, Motyka; Langenfeld, Moch;Beenakker, Brensing, MK, Kulesza, Laenen, Niessen)
– electroweak corrections(Hollik, Kollar, Mirabella, Trenkel; Bornhauser, Drees, Dreiner, Kim;Beccaria, Macorini, Panizzi, Renard, Verzegnassi)
– beyond MSSM: NLO QCD for RPV SUSY(Debajyoti Choudhury, Swapan Majhi, V. Ravindran; Yang, Li, Liu, Li; Dreiner, Grab, MK, Trenkel)
Sparticle decays
– total rates → Sdecay: (Muhlleitner, Djouadi, Mambrini) plus work by many authors. . . ...
– only few results for shapes (Drees, Hollik, Xu; Horsky, MK, Muck, Zerwas)
Sparticle production ⊕ decay: generic BSM cascades (SUSY, UEDs, LH,. . . )
– so far only tree level → challenge for LHC theory community. . .
page 49
Precision calculations at the LHC: conclusions & outlook . . .
Signal cross sections in the SM and MSSM are (or will rather soon be) known at
NLO accuracy
– theoretical uncertainty ≈ 15% for inclusive cross sections
– larger uncertainty for exclusive observables
– can predict distributions and observables with cuts
– in general no parton showers/hadronization
Progress in matching NLO calculations with parton showers and hadronization
Many backgrounds (multi-leg processes) are only know at LO
(Need breakthrough in techniques to do pp→> 4 partons at NLO?)
First LHC data will allow us to focus on the relevant processes. . .
page 50
Precision calculations at the LHC: conclusions & outlook . . .
Signal cross sections in the SM and MSSM are (or will rather soon be) known at
NLO accuracy
– theoretical uncertainty ≈ 15% for inclusive cross sections
– larger uncertainty for exclusive observables
– can predict distributions and observables with cuts
– in general no parton showers/hadronization
Progress in matching NLO calculations with parton showers and hadronization
Many backgrounds (multi-leg processes) are only know at LO
(Need breakthrough in techniques to do pp→> 4 partons at NLO?)
First LHC data will allow us to focus on the relevant processes. . .
page 50
Precision calculations at the LHC: conclusions & outlook . . .
Signal cross sections in the SM and MSSM are (or will rather soon be) known at
NLO accuracy
– theoretical uncertainty ≈ 15% for inclusive cross sections
– larger uncertainty for exclusive observables
– can predict distributions and observables with cuts
– in general no parton showers/hadronization
Progress in matching NLO calculations with parton showers and hadronization
Many backgrounds (multi-leg processes) are only know at LO
(Need breakthrough in techniques to do pp→> 4 partons at NLO?)
First LHC data will allow us to focus on the relevant processes. . .
page 50
Precision calculations at the LHC: conclusions & outlook . . .
Signal cross sections in the SM and MSSM are (or will rather soon be) known at
NLO accuracy
– theoretical uncertainty ≈ 15% for inclusive cross sections
– larger uncertainty for exclusive observables
– can predict distributions and observables with cuts
– in general no parton showers/hadronization
Progress in matching NLO calculations with parton showers and hadronization
Many backgrounds (multi-leg processes) are only know at LO
(Need breakthrough in techniques to do pp→> 4 partons at NLO?)
First LHC data will allow us to focus on the relevant processes. . .
page 50