INGREDIENTS FOR ACCURATE COLLIDER PHYSICS

(1)

INGREDIENTS FOR ACCURATE COLLIDER PHYSICS

Gavin Salam, CERN

PSI Summer School Exothiggs, 

Zuoz, August 2016

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LHC – TWO ROLES – A DISCOVERY MACHINE   AND A PRECISION MACHINE

ATLAS: general purpose CMS: general purpose

ALICE: heavy-ion physics LHCb: B-physics Interconnection between

two “dipoles” (bending magnets) in the LHC tunnel.

Today

➤ 20 fb^-1 at 8 TeV

➤ 13 fb^-1 at 13 TeV

Future

➤ 2018: 100 fb^-1 @ 13 TeV

➤ 2023: 300 fb^-1 @ 1? TeV

➤ 2035: 3000 fb^-1 @ 14 TeV

1 fb^-1 = 10¹⁴ collisions

Increase in luminosity brings discovery reach and precision

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LHC – TWO ROLES – A DISCOVERY MACHINE   AND A PRECISION MACHINE

Z' reach [TeV]

integrated lumi [fb^-1]

Post/pre-dictions for sequential Z' exclusion reach

7 TeV

8 TeV

13 TeV

1.96 TeV, pp− reference (ATLAS)

extrapolations ATLAS / CDF CMS / D0

0 1 2 3 4 5 6 7 8

0.01 0.1 1 10 100 1000 10000 14 TeV

end 2012 mid 2016

2035 2023

2018

GPS & Weiler cern.ch/collider-reach

[preliminary plot]

Z’ exclusion reach v. lumi

ALICE: heavy-ion physics LHCb: B-physics Interconnection between

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LHC – TWO ROLES – A DISCOVERY MACHINE   AND A PRECISION MACHINE

ALICE: heavy-ion physics LHCb: B-physics

+ TOTEM, LHCf Interconnection between

ggF+ttH

µf

0 1 2 3

VBF+VHf µ

−1 0

1 2

3 LHC Run 1

CMS and

ATLAS ^H^→ ^γ^γ

→ ZZ H

→ WW H

τ τ H →

→ bb H

68% CL Best fit SM expected

Figure 14: Negative log-likelihood contours at 68% CL in the (µ_ggF+ttH^f ,µ_VBF+VH^f ) plane for the combination of ATLAS and CMS, as obtained from the ten-parameter fit described in the text for each of the five decay channels H ! ZZ,H ! WW, H ! ,H ! ⌧⌧, and H ! bb. The best fit values obtained for each of the five decay channels are also shown, together with the SM expectation.

mass measurements in the di↵erent channels. Several BSM models predict, for example, a superposition of states with indistinguishable mass values [121–124], possibly with di↵erent coupling structures to the SM particles. With such an assumption, it may be possible to distinguish between single and multiple states by measuring the cross sections of individual production processes independently for each decay mode, as described in Section 4.1.1. Several methods have been proposed to assess the compatibility of the data with a single state [125,126]. A test for the possible presence of overlapping Higgs boson states is performed, based on a profile likelihood ratio suggested in Ref. [127]. This test accounts both for missing measurements, such as theH ! bbdecay mode in theggF and VBF production processes, and for uncertainties in the measurements, including their correlations.

Higgs couplings

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��

�

��

�

��

�� ^��

�� _��

��

LONG-TERM HIGGS PRECISION?

µ

Naive extrapolation suggests LHC has long-term   potential to do Higgs physics at 1% accuracy

naively extr

apolate 7/8 T

eV results (based on lumi and

σ)

NAIVELY EXTRAPOLATE 7+8 TEV RESULTS (based on lumi and σ)

3

µ

��

�

��

�

��

�� ^��

�� _��

��

ATLAS

today’s   TH syst

CMS

no TH syst.

50% TH syst.

Extrapolation suggests that we get value from full lumi

only if we aim for O(1%)  or better precision

official HL-LHC  forecasts

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THE H ^IGGS ^SECTOR

The theory is old (1960s-70s).

But the particle and it’s theory are  

unlike anything we’ve seen in nature.

➤ A fundamental scalar φ, i.e. spin 0  (all other particles are spin 1 or 1/2)

➤ Α potential V(φ) ~ -μ²(φφ^†) + λ(φφ^†)², which until now was limited to being theorists’ “toy model” (φ⁴)

➤ ”Yukawa” interactions responsible for

fermion masses, , with couplings (y_i) spanning 5 orders of magnitude

Phenomenology: lecture 1 (9/101)

Recall of SM (EW part)

Higgs mechanism

V( φ )

| φ

⁰

| | φ

⁺

|

V( φ )

Higgs fields: complex scalar doublet φ =

!φ⁺

φ⁰

"

, L^H = (D^µφ)^†(D_µφ)−V (φ)

Potential has form

V(φ) = −µ²φ^†φ + λ(φ^†φ)²

which leads to a Vacuum Ex- pectation Value (VEV): |φ| =

#µ²/2λ = v/√ 2. SU(2) symmetry of configurations with |φ| = v/√

2. Choose gauge transformation (unitary gauge) to map

φ →

! 0

(v + H)/√ 2

"

y_i ¯

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THE H ^IGGS ^SECTOR

The theory is old (1960s-70s).

But the particle and it’s theory are  

unlike anything we’ve seen in nature.

➤ A fundamental scalar φ, i.e. spin 0  (all other particles are spin 1 or 1/2)

➤ Α potential V(φ) ~ -μ²(φφ^†) + λ(φφ^†)², which until now was limited to being theorists’ “toy model” (φ⁴)

➤ ”Yukawa” interactions responsible for

fermion masses, , with couplings (y_i) spanning 5 orders of magnitude

Phenomenology: lecture 1 (9/101)

Recall of SM (EW part)

Higgs mechanism

V( φ )

| φ

⁰

| | φ

⁺

|

V( φ )

Higgs fields: complex scalar doublet φ =

!φ⁺

φ⁰

"

, L^H = (D^µφ)^†(D_µφ)−V (φ)

Potential has form

V(φ) = −µ²φ^†φ + λ(φ^†φ)²

which leads to a Vacuum Ex- pectation Value (VEV): |φ| =

#µ²/2λ = v/√ 2. SU(2) symmetry of configurations with |φ| = v/√

2. Choose gauge transformation (unitary gauge) to map

φ →

! 0

(v + H)/√ 2

"

y_i ¯

Higgs sector needs   stress-testing

Is Higgs fundamental or composite? 

If fundamental, is it “minimal”? 

Is it really φ⁴?   Are Yukawa couplings responsible for all fermion masses?

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ATLAS H ^→ **WW* ANALYSIS [1604.02997]**

7

A three-level trigger system reduces the event rate to about 400 Hz [21]. The Level-1 trigger is implemented in hardware and uses a subset of detector information to reduce the event rate to a design value of at most 75 kHz. The two subsequent trigger levels, collectively referred to as the High-Level Trigger (HLT), are implemented in software.

3 Signal and background models

The ggF and VBF production modes for H ! WW^⇤ are modelled at next-to-leading order (NLO) in the strong coupling ↵_S with the Powheg MC generator [22–25], interfaced with Pythia8 [26] (version 8.165) for the parton shower, hadronisation, and underlying event. The CT10 [27] PDF set is used and the parameters of the Pythia8 generator controlling the modelling of the parton shower and the underlying event are those corresponding to the AU2 set [28]. The Higgs boson mass set in the generation is 125.0 GeV, which is close to the measured value. The Powheg ggF model takes into account finite quark masses and a running-width Breit–Wigner distribution that includes electroweak corrections at NLO [29]. To im- prove the modelling of the Higgs boson p_T distribution, a reweighting scheme is applied to reproduce the prediction of the next-to-next-to-leading-order (NNLO) and next-to-next-to-leading-logarithm (NNLL) dynamic-scale calculation given by the HRes 2.1 program [30]. Events with 2 jets are further reweighted to reproduce the p_T^H spectrum predicted by the NLO Powheg simulation of Higgs boson production in as- sociation with two jets (H + 2 jets) [31]. Interference with continuum WW production [32, 33] has a negligible impact on this analysis due to the transverse-mass selection criteria described in Section 4 and is not included in the signal model.

The inclusive cross sections at ps = 8 TeV for a Higgs boson mass of 125.0 GeV, calculated at NNLO+NNLL in QCD and NLO in the electroweak couplings, are 19.3 pb and 1.58 pb for ggF and VBF respect-

ively [34]. The uncertainty on the ggF cross section has approximately equal contributions from QCD scale variations (7.5%) and PDFs (7.2%). For the VBF production, the uncertainty on the cross section is 2.7%, mainly from PDF variations. The WH and ZH processes are modelled with Pythia8 and normalised to cross sections of 0.70 pb and 0.42 pb respectively, calculated at NNLO in QCD and NLO in the electroweak couplings [34]. The uncertainty is 2.5% on the WH cross section and 4.0% on the ZH cross section.

For all of the background processes, with the exception of W + jets and multijet events, MC simulation is used to model event kinematics and as an input to the background normalisation. The W + jets and multijet background models are derived from data as described in Section 5. For the dominant WW and top-quark backgrounds, the MC generator is Powheg +Pythia6 [35] (version 6.426), also with CT10 for the input PDFs. The Perugia 2011 parameter set is used for Pythia6 [36]. For the WW background with N_jet 2, to better model the additional partons, the Sherpa [37] program (version 1.4.3) with the CT10 PDF set is used. The Drell–Yan background, including Z/ ^⇤ ! ⌧⌧, is simulated with the Alpgen [38]

program (version 2.14). It is interfaced with Herwig [39] (version 6.520) with parameters set to those of the ATLAS Underlying Event Tune 2 [40] and uses the CTEQ6L1 [41] PDF set. The same configuration is applied for W events. Events in the Z/ ^⇤ sample are reweighted to the MRSTmcal PDF set [42]. For the W ^⇤ and Z/ backgrounds, the Sherpa program is used, with the same version number and PDF set as the WW background with 2 jets. Additional diboson backgrounds, from WZ and ZZ, are modelled using Powheg +Pythia8.

For all MC samples, the ATLAS detector response is simulated [43] using either Geant4 [44] or Geant4 combined with a parameterised Geant4-based calorimeter simulation [45]. Multiple proton–proton (pile-

5

up) interactions are modelled by overlaying minimum-bias interactions generated using Pythia8. Further detail of all MC generators and cross sections used is given in Ref. [19].

4 Event selection

This section describes the reconstruction-level definition of the signal region. The definition of physics objects reconstructed in the detector follows that of Ref. [19] exactly and is summarised here. All objects are defined with respect to a primary interaction vertex, which is required to have at least three associated tracks with p_T 400 MeV. If more than one such vertex is present, the one with the largest value of P(p²_T), where the sum is over all tracks associated with that vertex, is selected as the primary vertex.

4.1 Object reconstruction and identification

Electron candidates are built from clusters of energy depositions in the EM calorimeter with an associated well-reconstructed track. They are required to have E_T > 10 GeV, where the transverse energy E_T is defined as E sin(✓). Electrons reconstructed with | ⌘ | < 2.47 are used, excluding 1.37 < | ⌘ | < 1.52, which corresponds to the transition region between the barrel and the endcap calorimeters. Additional identification criteria are applied to reject background, using the calorimeter shower shape, the quality of the match between the track and the cluster, and the amount of transition radiation emitted in the ID [46–48].

For electrons with 10 GeV < E_T < 25 GeV, a likelihood-based electron selection at the “very tight” oper- ating point is used for its improved background rejection. For E_T > 25 GeV, a more efficient “medium”

selection is used because background is less of a concern. The efficiency of these requirements varies strongly as a function of E_T, starting from 65–70% for E_T < 25 GeV, jumping to about 80% with the change in identification criteria at E_T = 25 GeV, and then steadily increasing as a function of E_T [47].

Muon candidates are selected from tracks reconstructed in the ID matched to tracks reconstructed in the muon spectrometer. Tracks in both detectors are required to have a minimum number of hits to ensure robust reconstruction. Muons are required to have | ⌘ | < 2.5 and p_T > 10 GeV. The reconstruction efficiency is between 96% and 98%, and stable as a function of p_T [49].

Additional criteria are applied to electrons and muons to reduce backgrounds from non-prompt leptons and electromagnetic signatures produced by hadronic activity. Lepton isolation is defined using track- based and calorimeter-based quantities. All isolation variables used are normalised relative to the transverse momentum of the lepton, and are optimised for the H!WW^⇤!e⌫µ⌫ analysis, resulting in stricter criteria for better background rejection at lower p_T and looser criteria for better efficiency at higher p_T. Similarly, requirements on the transverse impact-parameter significance d₀/ _d₀ and the longitudinal impact parameter z₀ are made. The efficiency of the isolation and impact-parameter requirements for electrons satisfying all of the identification criteria requirements ranges from 68% for 10 GeV < E_T < 15 GeV to greater than 90% for electrons with E_T > 25 GeV. For muons, the equivalent efficiencies are 60–

96%.

Jets are reconstructed from topological clusters of calorimeter cells [50–52] using the anti-k_t algorithm with a radius parameter of R = 0.4 [53]. Jet energies are corrected for the e↵ects of calorimeter non- compensation, signal losses due to noise threshold e↵ects, energy lost in non-instrumented regions, contributions from in-time and out-of-time pile-up, and the position of the primary interaction vertex [50, 54]. Subsequently, the jets are calibrated to the hadronic energy scale [50, 55]. To reduce the chance of

6

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ATLAS H ^→ **WW* ANALYSIS [1604.02997]**

8

Events / 5 GeV

50 100 150 200 250 300 350 400

ATLAS

= 8 TeV, 20.3 fb-1

s

, 0 jets ν

µ eν WW*→ H→

Data SM bkg (sys ⊕ stat)

H WW

Other VV W+jet

Top Z/γ*

Multijet

[GeV]

mT

0 50 100 150 200 250

Data - Bkg

-20 0 20 40

60 ^Data-Bkg

stat) SM bkg (sys ⊕

H

(a) N_jet = 0

Events / 10 GeV

50 100 150 200 250 300

ATLAS

= 8 TeV, 20.3 fb-1

s

, 1 jet ν

µ eν WW*→ H→

H WW

Top Other VV

W+jet Z/γ* Multijet

[GeV] mT

0 50 100 150 200 250

Data - Bkg

0 20 40

60 ^Data-Bkg

H

(b) N_jet = 1

Events / 10 GeV

20 40 60 80 100 120

140 ATLAS

= 8 TeV, 20.3 fb-1

s

≥ 2j ν, µ eν WW*→ H→

H Top

WW Z/γ*

Other VV W+jet Multijet

[GeV]

mT

0 50 100 150 200 250

Data - Bkg

-20 0 20

40 ^Data-Bkg

H

(c) N_jet 2

Figure 1: Observed distributions of m

_T

with signal and background expectations after all other selection criteria have been applied for the N

_jet

= 0 (top left), N

_jet

= 1 (top right) and N

_jet

2 (bottom) signal regions. The background contributions are normalised as described in Section 5. The SM Higgs boson signal prediction shown is summed over all production processes. The hatched band shows the sum in quadrature of statistical and systematic uncer- tainties of the sum of the backgrounds. The vertical dashed lines indicate the lower and upper selection boundaries on m

_T

at 85 and 125 GeV.

half the number of events that ggF does, and constitute about 3% of the total background. The N

_jet

distribution and other shapes are taken from simulation.

For the N

_jet

= 0 and N

_jet

= 1 categories, the WW background is normalised using control regions distin- guished from the SR primarily by m

``

, and the shape is taken from simulated events generated using P owheg + P ythia 6 as described in Section 3. For the N

_jet

2 category, WW is normalised using the NLO

10 That whole

paragraph was just for the red part of this distribution

(the Higgs signal).

Complexity of

modelling each of the backgrounds is

comparable

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AIMS OF THESE LECTURES

➤

Give you basic understanding of the “jargon” of theoretical collider prediction methods and inputs

➤

Give you insight into the power & limitations of diﬀerent

techniques for making collider predictions

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A proton-proton collision: INITIAL STATE

proton proton

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A proton-proton collision: FINAL STATE

...

π

−

K B

B

+

µ

⁻

+

(actual final-state multiplicity ~ several hundred hadrons)

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IT’S MOSTLY QUANTUM CHROMODYNAMICS (QCD)

QCD lecture 1 (p. 5)

What is QCD

Lagrangian + colour

Quarks — 3 colours: ψ

_a

=

⎛

⎝

ψ

₁

ψ

₂

ψ

₃

⎞

⎠

Quark part of Lagrangian:

L

_q

= ¯ ψ

_a

(i γ

^µ

∂

_µ

δ

_ab

− g

_s

γ

^µ

t

_ab^C

A

^C_µ

− m)ψ

_b

SU (3) local gauge symmetry ↔ 8 (= 3

²

− 1) generators t

_ab¹

. . . t

_ab⁸

corresponding to 8 gluons A

¹_µ

. . . A

⁸_µ

.

A representation is: t

^A

=

¹₂

λ

^A

,

λ¹ =

⎛

⎝

0 1 0 1 0 0 0 0 0

⎞

⎠ , λ² =

⎛

⎝

0 −i 0

i 0 0

0 0 0

⎞

⎠ , λ³ =

⎛

⎝

1 0 0

0 −1 0

0 0 0

⎞

⎠ , λ⁴ =

⎛

⎝

0 0 1 0 0 0 1 0 0

⎞

⎠ ,

λ⁵ =

⎛

⎝

0 0 −i 0 0 0

i 0 0

⎞

⎠ , λ⁶ =

⎛

⎝

0 0 0 0 0 1 0 1 0

⎞

⎠ , λ⁷ =

⎛

⎝

0 0 0 0 0 −i 0 i 0

⎞

⎠ , λ⁸ =

⎛

⎜

⎝

√1

3 0 0

0 ^√¹

3 0 0 0 ⁻^√²₃

⎞

⎟

⎠ ,

QCD lecture 1 (p. 12) Basic methods

Perturbation theory

What do Feynman rules mean physically?

A, µ

b a

ψ ¯

_b

(−ig

s

t

_ba^A

γ

^µ

)ψ

a

A, µ

b a

( 0 1 0 )

! "# $

ψ¯_b

⎛

⎝

0 1 0 1 0 0 0 0 0

⎞

⎠

! "# $

t_ab¹

⎛

⎝ 1 0 0

⎞

⎠

! "# $

ψ_a

A gluon emission repaints the quark colour.

A gluon itself carries colour and anti-colour.

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QCD lecture 1 (p. 11) Basic methods

Perturbation theory Perturbation theory

Relies on idea of order-by-order expansion small coupling, α _s ≪ 1

α _s + α ²

!"#$ s small

+ α ³

!"#$ s smaller

+ . . .

!"#$

negligible?

Interaction vertices of Feynman rules:

A, µ

b a

−ig

_s

t

_ba^A

γ

^µ

A, µ

B, ν C, ρ

p

q r

−g

_s

f

^ABC

[(p − q )

^ρ

g

^µν

+(q − r )

^µ

g

^νρ

+(r − p )

^ν

g

^ρµ

]

B, ν D, σ

C, ρ

A, µ

−ig

_s²

f

^XAC

f

^XBD

[g

^µν

g

^ρσ

− g

^µσ

g

^νγ

] + (C , γ ) ↔

(D , ρ) + (B , ν ) ↔ (C , γ )

These expressions are fairly complex, so you really don’t want to have to deal with too many orders of them!

i.e. α _s had better be small. . .

IT’S MOSTLY QUANTUM CHROMODYNAMICS (QCD)

13 QCD lecture 1 (p. 6)

What is QCD

Lagrangian: gluonic part

Field tensor: F

_µν^A

= ∂

_µ

A

^A_ν

− ∂

_ν

A

^A_ν

− g

_s

f

_ABC

A

^B_µ

A

^C_ν

[t

^A

, t

^B

] = if

_ABC

t

^C

f

_ABC

are structure constants of SU (3) (antisymmetric in all indices —

SU (2) equivalent was ϵ

^ABC

). Needed for gauge invariance of gluon part of Lagrangian:

L

_G

= − 1

4 F

_A^µν

F

^A ^µν

QCD lecture 1 (p. 11)

Basic methods

Perturbation theory Perturbation theory

Relies on idea of order-by-order expansion small coupling, α _s ≪ 1

α _s + α ²

!"#$ s small

+ α ³

!"#$ s smaller

+ . . .

!"#$

negligible?

Interaction vertices of Feynman rules:

A, µ

b a

−ig

_s

t

_ba^A

γ

^µ

A, µ

B, ν C, ρ

p

q r

−g

_s

f

^ABC

[(p − q )

^ρ

g

^µν

+(q − r )

^µ

g

^νρ

+(r − p )

^ν

g

^ρµ

]

B, ν D, σ

C, ρ

A, µ

−ig

_s²

f

^XAC

f

^XBD

[g

^µν

g

^ρσ

− g

^µσ

g

^νγ

] + (C , γ ) ↔

(D , ρ) + (B , ν ) ↔ (C , γ )

These expressions are fairly complex, so you really don’t want to have to deal with too many orders of them!

i.e. α _s had better be small. . .

(15)

IT’S MOSTLY QUANTUM CHROMODYNAMICS (QCD)

The only complete solution uses lattice QCD

➤

put all quark & gluon fields on a 4d lattice  

(NB: imaginary time)

➤

Figure out most likely configurations  

(Monte Carlo sampling)

image credit fdecomite [flickr]

(16)

IT’S MOSTLY QUANTUM CHROMODYNAMICS (QCD)

The only complete solution uses lattice QCD

➤

put all quark & gluon fields on a 4d lattice  

(NB: imaginary time)

➤

Figure out most likely configurations  

(Monte Carlo sampling)

Durr et al, arXiv:0906.3599

hadron spectrum from lattice QCD

(17)

For LHC reactions, lattice would have to

➤

Resolve smallest length scales (2 TeV ~ 10

^-4

fm)

➤

Contain whole reaction (pion formed on timescale of 1fm, with boost of 10000 — i.e. 10

⁴

fm)

That implies 10

⁸

nodes in each dimension, i.e. 10

³²

nodes — unrealistic

IT’S MOSTLY QUANTUM CHROMODYNAMICS (QCD)

The only complete solution uses lattice QCD

➤

put all quark & gluon fields on a 4d lattice  

(NB: imaginary time)

➤

Figure out most likely configurations  

(Monte Carlo sampling)

Durr et al, arXiv:0906.3599

hadron spectrum from lattice QCD

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A proton-proton collision: FILLING IN THE PICTURE

...

+

B B

K

−

π

µ

⁺

µ

⁻

proton proton

(19)

A proton-proton collision: FILLING IN THE PICTURE

...

+

B B

K

−

π

µ

⁺

µ

⁻

b _

u σ

Z

_ u H

b

proton proton

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A proton-proton collision: SIMPLIFYING IN THE PICTURE

µ

+

µ

⁻

b _

u σ

Z

_ u H

b

proton proton

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WHY IS SIMPLIFICATION “ALLOWED”? KEY IDEA #1 FACTORISATION

➤

Proton’s dynamics occurs on timescale O(1 fm)  

Final-state hadron dynamics occurs on timescale O(1fm)

➤

Production of Higgs, Z (and other  

“hard processes”) occurs on timescale   1/M

H

~ 1/125 GeV ~ 0.002 fm

That means we can separate — “factorise” — the hard process, i.e. treat it as independent from all the hadronic dynamics

...

+

B

B K

−

π

µ⁺

µ⁻

b _

u σ

Z

_ u H

b

proton proton

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WHY IS SIMPLIFICATION “ALLOWED”? KEY IDEA #2

SHORT-DISTANCE QCD CORRECTIONS ARE PERTURBATIVE

➤

On timescales 1/M

H

~ 1/125 GeV ~ 0.002 fm you can take advantage of asymptotic freedom

➤

i.e. you can write results in terms of an expansion in the (not so) strong coupling constant α

s

(125 GeV) ~ 0.11

ˆ = ˆ ₀ (1 + c ₁ ↵ _s + c ₂ ↵ ² _s + · · · )

µ+

µ⁻

b _

u σ

Z

_ u H

b

(Leading Order) LO

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WHY IS SIMPLIFICATION “ALLOWED”? KEY IDEA #2

SHORT-DISTANCE QCD CORRECTIONS ARE PERTURBATIVE

➤

On timescales 1/M

H

~ 1/125 GeV ~ 0.002 fm you can take advantage of asymptotic freedom

➤

i.e. you can write results in terms of an expansion in the (not so) strong coupling constant α

s

(125 GeV) ~ 0.11

ˆ = ˆ ₀ (1 + c ₁ ↵ _s + c ₂ ↵ ² _s + · · · )

µ+

µ⁻

b _

u σ

Z

_ u H

b

(Next-to-Leading Order) NLO

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WHY IS SIMPLIFICATION “ALLOWED”? KEY IDEA #2

SHORT-DISTANCE QCD CORRECTIONS ARE PERTURBATIVE

➤

On timescales 1/M

H

~ 1/125 GeV ~ 0.002 fm you can take advantage of asymptotic freedom

➤

i.e. you can write results in terms of an expansion in the (not so) strong coupling constant α

s

(125 GeV) ~ 0.11

ˆ = ˆ ₀ (1 + c ₁ ↵ _s + c ₂ ↵ ² _s + · · · )

µ+

µ⁻

b _

u σ

Z

_ u H

b

(Next-to-next-to-Leading Order) NNLO

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THE MASTER EQUATION

µ+

µ⁻

b _

u σ

Z

_ u H

b

8 1. Quantum chromodynamics

The PDFs’ resulting dependence on µ_F is described by the Dokshitzer-Gribov-Lipatov- Altarelli-Parisi (DGLAP) equations [43], which to leading order (LO) read^∗

µ²_F ∂f_i/p !

x, µ²_F "

∂µ²_F = #

j

α_s !

µ²_F "

2π

$ ₁

x

dz

z P_i⁽¹⁾_←_j (z) f_j/p %x

z , µ²_F &

, (1.14)

with, for example, P_q←g⁽¹⁾ (z) = T_R(z²+(1−z)²). The other LO splitting functions are listed in Sec. 16 of this Review, while results up to NLO, α²_s, and NNLO, α³_s, are given in Refs.

44 and 45 respectively. Beyond LO, the coeﬃcient functions are also µ_F dependent, for example C_2,i⁽¹⁾(x, Q², µ²_R, µ²_F ) = C_2,i⁽¹⁾(x, Q², µ²_R, Q²) − ln ! µ²_F

Q²

" '

j

( ₁

x dz

z C_2,j⁽⁰⁾(^x_z )P_j⁽¹⁾_←i(z).

As with the renormalization scale, the choice of factorization scale is arbitrary, but if one has an infinite number of terms in the perturbative series, the µ_F -dependences of the coeﬃcient functions and PDFs will compensate each other fully. Given only N terms of the series, a residual O(α^N_s ⁺¹) uncertainty is associated with the ambiguity in the choice of µ_F . As with µ_R, varying µ_F provides an input in estimating uncertainties on predictions. In inclusive DIS predictions, the default choice for the scales is usually µ_R = µ_F = Q.

As is the case for the running coupling, in DGLAP evolution one can introduce flavor thresholds near the heavy quark masses: below a given heavy quark’s mass, that quark is not considered to be part of the proton’s structure, while above it is considered to be part of the proton’s structure and evolves with massless DGLAP splitting kernels.

With appropriate parton distribution matching terms at threshold, such a variable flavor number scheme (VFNS), when used with massless coeﬃcient functions, gives the full heavy-quark contributions at high Q² scales. For scales near the threshold, it is instead necessary to appropriately adapt the standard massive coeﬃcient functions to account for the heavy-quark contribution already included in the PDFs [46,47,48].

Hadron-hadron collisions. The extension to processes with two initial-state hadrons can be illustrated with the example of the total (inclusive) cross section for W boson production in collisions of hadrons h₁ and h₂, which can be written as

σ (h₁h₂ → W + X) =

∞

#

n=0

αⁿ_s %

µ²_R& #

i,j

$

dx₁dx₂ f_i/h

1

%x₁, µ²_F &

f_j/h

2

%x₂, µ²_F &

× σˆ_ij⁽ⁿ⁾_→W_+X %

x₁x₂s, µ²_R, µ²_F &

+ O

) Λ²

M_W⁴

*

, (1.15)

∗ LO is generally taken to mean the lowest order at which a quantity is non-zero. This definition is nearly always unambiguous, the one major exception being for the case of the hadronic branching ratio of virtual photons, Z, τ, etc., for which two conventions exist:

LO can either mean the lowest order that contributes to the hadronic branching fraction, i.e. the term “1” in Eq. (1.7); or it can mean the lowest order at which the hadronic branching ratio becomes sensitive to the coupling, n = 1 in Eq. (1.8), as is relevant when extracting the value of the coupling from a measurement of the branching ratio. Because of this ambiguity, we avoid use of the term “LO” in that context.

May 5, 2016 21:57

ZH

ZH+X

(26)

THE MASTER EQUATION

µ+

µ⁻

b _

u σ

Z

_ u H

b

8 1. Quantum chromodynamics

µ²_F ∂f_i/p !

x, µ²_F "

∂µ²_F = #

j

α_s !

µ²_F "

2π

$ ₁

x

dz

z P_i⁽¹⁾_←_j (z) f_j/p %x

z , µ²_F &

, (1.14)

Q²

" '

j

( ₁

x dz

z C_2,j⁽⁰⁾(^x_z )P_j⁽¹⁾_←i(z).

σ (h₁h₂ → W + X) =

∞

#

n=0

αⁿ_s %

µ²_R& #

i,j

$

dx₁dx₂ f_i/h

1

%x₁, µ²_F &

f_j/h

2

%x₂, µ²_F &

× σˆ_ij⁽ⁿ⁾_→W_+X %

x₁x₂s, µ²_R, µ²_F &

+ O

) Λ²

M_W⁴

*

, (1.15)

May 5, 2016 21:57

Parton distribution function  (PDF): e.g. number of up anti- quarks carrying fraction x2 of

proton’s momentum ZH

ZH+X

(27)

THE MASTER EQUATION

µ+

µ⁻

b _

u σ

Z

_ u H

b

8 1. Quantum chromodynamics

µ²_F ∂f_i/p !

x, µ²_F "

∂µ²_F = #

j

α_s !

µ²_F "

2π

$ ₁

x

dz

z P_i⁽¹⁾_←_j (z) f_j/p %x

z , µ²_F &

, (1.14)

Q²

" '

j

( ₁

x dz

z C_2,j⁽⁰⁾(^x_z )P_j⁽¹⁾_←i(z).

σ (h₁h₂ → W + X) =

∞

#

n=0

αⁿ_s %

µ²_R& #

i,j

$

dx₁dx₂ f_i/h

1

%x₁, µ²_F &

f_j/h

2

%x₂, µ²_F &

× σˆ_ij⁽ⁿ⁾_→W_+X %

x₁x₂s, µ²_R, µ²_F &

+ O

) Λ²

M_W⁴

*

, (1.15)

May 5, 2016 21:57

Parton distribution function  (PDF): e.g. number of up anti-  

quarks carrying fraction x1 of proton’s momentum

ZH

ZH+X

INGREDIENTS FOR ACCURATE COLLIDER PHYSICS