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Testo completo

(1)

QCD AT THE LHC

Massimiliano Grazzini (INFN, Firenze)

Italo-Hellenic School, june 2005

(2)

Introduction:

Asymptotic freedom and the parton model

Infrared divergences

The factorization theorem

DGLAP equations

Outline

(3)

QCD ad hadron colliders: factorization theorem

Parton distributions

QCD tools:

Fixed order calculations: LO, NLO, NNLO

Parton shower Montecarlos

Resummed calculations

Concluding remarks

Corcella’s lectures

(4)

Basics

QCD Quantum - Chromo - Dynamics Quantum theory of colour:

It is a non abelian gauge theory with gauge group

Completely specified given the number of colours

L = − 1

4 F

µνa

F

µνa

+

Nf

!

f =1

ψ ¯

fi

[iγ

µ

(D

µ

)

ij

− m

f

δ

ij

] ψ

fj

(D

µ

)

ij

= δ

ij

µ

− igt

aij

A

aµ

F

µνa

= ∂

µ

A

aν

− ∂

ν

A

aµ

+ gf

abc

A

bµ

A

cν

Covariant derivative

Gluon field tensor Nc

i, j = 1...Nc SU(Nc)

Difference with QED: gluons are charged and interact among themselves

(5)

Feynman rules

α β

i j

p i(/p + m)αβ

p2 − m2 + i! δij

µ ν

a b

p

i

p2 + i! dµν(p) δab

a1 µ1

p1

µ2 a2

p2

a3 µ3

p3

µ1 a1 p1 µ2 a2

p2

a3 µ3

p3

µ4 a4

p4 −ig2

!

fba1a2fba3a4(gµ1µ3gµ2µ4 − gµ

1µ4

gµ2µ3)

+(2 ↔ 3) + (2 ↔ 4)!

−gfa

1a2a3

!

gµ1µ2(p1 − p2)µ3

+gµ2µ3(p2 − p3)µ1 +gµ3µ1(p3 − p1)µ2!

α β

i j

g

µ

−ig(ta)ijµ)αβ

Gluon spin pol. tensor:

gauge dependent

(6)

dµν(p) =

−gµν + (1 − α) pµpν

p2 + i" covariant gauges

−gµν + pµnν + pνnµ

p · n − n2

pµ pν

(p · n)2 axial gauges

dµν(p) = !

λ

εµ(λ)(p)εν(λ)(p)

The spin polarization tensor is

and depends on the gauge choice

p

a b

i

p2 + i!δab a c

µ b

gfabcpµ In covariant gauges Lorentz invariance is manifest but ghosts

must be included to cancel effect of unphysical gluon polarizations

In physical gauges (e.g. , arbitrary direction) only two tranverse polarizations are present

more transparent physical picture: for lowest order or

approximated calculations physical gauges make life simpler

nµAµ = 0

n

(7)

Colour algebra

The calculation of Feynman diagrams is similar to QED: just keep into account colour factors

(T a)ij = taij (T a)bc = ifabc

T r(tatb) = TRδab TR = 1/2

CF = Nc2

− 1 2Nc

CA = Nc Useful relations:

(tata)il = CF δil

fadcfbdc = CAδab

fundamental adjoint

Exercise: prove the above expressions for

(hint: form a basis for hermitian matrices) The explicit form of colour matrices is not important in practice

ta, I

CF , CA

[T a, T b] = ifabcTc

T r(Ta) = 0

Nc × Nc

(8)

Asymptotic freedom

QCD is a renormalizable gauge theory

Ultraviolet (UV) singularities appear in loop diagrams but they can be removed by the renormalization procedure

Regularization: allows to make sense of divergent loop integrals

Subtraction: redefine the coupling

Renormalization has two steps:

αS = g2/(4π)

∼ αB!

1 + αBβ0

" Λ2cut

p2

d4k

(k2)2 + O(α2B)#

∼ αB!

1 + αBβ0(log Λ2cut

µ2 + log µ2

p2 ) + O(αB2)"

+

=

UV cut-off

= α(µ2)!

1 + β0α(µ2) log µ2

p2 + O(αB2)"

coefficient of UV behaviour

(9)

How does the coupling depend on the scale ?

The theory does not predict the absolute value of the coupling but its dependence on the scale can be predicted

α(µ2) ≡ αB!

1 + β0αB log Λ2cut

µ2 + O(α2B)"

S2)

d log µ2 = −β0α2S2) + O(α3S) ! !"#$

"

"

%

%

&

' %

%

"%# "#

if for a given scale we have αS20) << 1

µ0

a perturbative solution of the

renormalization group equation can be given where we have defined

the renormalized coupling

it is one the renormalization group equations

Divergence desappeared but an arbitrary scale is now present

µ

(10)

The vacuum around a pointlike charge becomes polarized due to the emission of pairs and produces a screening effect

e+e

In QED the dependence of the coupling on the scale has a simple physical interpretation

! !

"

"

"

"

"

"

"

"

"

"

"

"

"

" !

!

!

!

!

! !

!

!

!

!

!

!

! " " "

! !

: the effective coupling decreases with the distance

In QCD gluons are charged and provide a positive contribution to β0

nF < 16

β0 = 11Nc 2nF

12π > 0

for

β0 < 0

But:

(11)

Intuitively: gluons are

charged and spread colour charge over larger distances:

anti-screening effect

ASYMPTOTIC FREEDOM

In processes with large

momentum transfer we can use perturbation theory

even if we have not solved the full theory

Nobel prize in Physics 2004

D. Gross, H.D. Politzer, F. Wilczek

scale at which the coupling becomes strong

ΛQCD

(12)

Asymptotic freedom

at large tranferred momenta hadrons behave as collections of free (weakly- interacting) partons

at small scales the interaction becomes strong but if we are not interested in the details of hadronic processes (consider inclusive enough final states) we can use the parton picture

annihilation

e

+

e

produce a hard pair at scale (short time scale ) which travel far apart as free

qq¯

Q

τ = 1/Q

Parton model

(13)

Deep inelastic scattering

Let us consider the process ep → eX

Q2 = −q2 = (k − k!)2 " Λ2QCD

If the cross section is dominated by one-photon exchange

Q2 < MZ2

zp

! q

p

The photon acts as a probe of the proton structure

σ(p) ∼

!

dzf (z) ˆσ(zp) Parton interactions in the proton

characterized by a large time scale τ ∼ 1/ΛQCD

e

e

γ q

Scattering is incoherent on the single partons

p

X

with respect to τhard = 1/Q

(14)

The question:

does the parton picture survive when

radiative corrections are included ?

(15)

annihilation

e

+

e

Consider the corrections to the total cross section

Real:

OS)

Kinematics:

xi = 2pi · Q/Q2 = 2Ei/Q energy fractions p1 + p2 + p3 = Q x1 + x2 + x3 = 2

(p1 + p3)2 = (Q − p2)2 = (1 − x2)Q2

Soft limit: x3 → 0 Collinear limit: p1 ! p3

p2 ! p3 x1 → 1 x2 → 1

(16)

Virtual:

Squaring the amplitudes real and virtual have similar structure but different kinematics

real

virtual Cut lines on shell

(17)

σR =

! 1

0

dx1dx2dx3 δ(2 − x1 − x2 − x3) |Mreal(x1, x2, x3)|2

|Mreal(x1, x2, x3)|2 = σ0 CF αS

x21 + x22

(1 − x1)(1 − x2)

Singular when

Real contribution:

Phase space Matrix element

x1, x2 → 1

The singularity cannot be integrated ! Let’s look at its structure:

Numerator:

Denominator:

x21 + x22 = 1 + (1 − x3)2 − 2(1 − x1)(1 − x2)

Does not produce singularities 1

(1 − x1)(1 − x2) = 1

2 − x1 x2

! 1

1 − x1 + 1 1 − x2

"

= 1 x3

! 1

1 − x1 + 1 1 − x2

"

soft sing. collinear sing.

The real contribution can be seen as a sum of

independent terms divergent both in the soft and in the two collinear regions plus a finite remainder

(18)

The divergences in the real and virtual contributions cancel out and a finite result is recovered

p1

p2

p3 Q

In the region

|Mreal|2 !αS

" 1

1 − x1 P

qg(x3)

Virtual contribution:

! 1

0

dx1dx2δ(2 − x1 − x2)

!

0

Mvirtdx3

Taking the square the diagrams

have the same structure of the real but different kinematics

Differences in kinematics affect only finite parts

The sign is opposite by unitarity

p1

p2 Q

Universal splitting kernel

Pgq(x3) = CF 1 + (1 − x3)2 x3

q → g

x1 → 1 (p2 " p3)

(19)

Infrared divergences

Originate in theories with massless particles and are of two kinds

Soft: the energy of a gluon vanishes

Collinear: two partons become parallel

Physically a hard parton plus a soft gluon or two very close

partons are indistinguishable They correspond to degenerate states

hard parton hard parton

+soft gluon 2 collinear partons

1

(p + k)2 = 1

2EpEk(1 − cos θ)

H q

q¯

g

Q

Q¯

H g

g

Q

Q¯

p

k

Infrared divergences are a manifestation of long-distance effects

(20)

Even in QED we cannot separate an electron from an electron + a soft photon, or an electron from an electron plus a collinear

photon

Kinoshita-Lee-Naumberg theorem:

if we limit ourself to considering quantities inclusive over initial and final states soft and collinear (degenerate)

configurations infrared divergences cancel out

The answer:

intuitive parton picture survives to the

computation of radiative corrections provided we consider inclusive enough processes

NOTE:

Phase space is flat

Matrix elements are enhanced in soft and collinear regions

The hadronic final state is typically formed by

jets of collinear particles plus soft particles

(21)

In order to cancel the divergences it is not necessary to integrate over the full phase space

According to the KLN theorem we can define a wide class of

Leading

Order (LO): σLO =

!

m

|M(0)({pi})|2Fm({pi})dΦm

Measurement function

Tree level matrix element

Phase space

Next-to-Leading

Order (LO): σN LO =

!

m+1

R +

!

m

V

Here one more

parton Here same number of partons but one-loop matrix element

Fm+1(...pi, ...pj...) ∼ Fm(....pi + pj....) if pi " pj or pj → 0

To be sure that the presence of does not spoil the cancellation we should have:

F

number of partons at LO

(e.g. 3 jet )

m

m = 3

IR safe observables

(22)

What about hadronization ?

We have seen that matrix elements are enhanced in soft and collinear regions: soft radiation fulfills the property of angular ordering: the angle at which soft gluons are

emitted is continuosly reduced

radiation is confined in

collimated cones around the primary parton

Moreover: the colour flow in the jet evolution is such that colour singlets

are close in phase space

Hadronization is LOCAL: it does not

spoil parton picture

(23)

zp

! q

p

Hard processes with hadrons in the initial state

DIS: Partonic cross section

Parton density

Virtual: Real:

Consider corrections to the partonic cross sectionOS)

(24)

In the calculation we find infrared divergences

Inclusive final state KLN cancellation of final state singularities However in the initial state we have only one parton and we cannot sum over degenerate states uncancelled collinear singularity

∼ αS(Q2)

! 1

0

2

θ2

! Q2 0

dkT2 kT2

Actually the collinear divergence would be regularized by a physical cutoff of the order of the typical hadronic scale

Q0

The singularity implies the existence of long distance effects Multiple emission

α

nS

log

n

Q

2

/Q

20 to be resummed

Both problems are solved by the FACTORIZATION THEOREM IN SHORT: Collinear singularities can be

absorbed in bare parton densities f0(x) → f(x, Q2)

(25)

Physical parton densities thus become scale dependent

This is possible only if this redefinition is independent on the hard process

d3k

2k0 ∼ k0dk0d cos θ ∼ dθ2 1

(p − k)2

1

p0k0(1 − cos θ) 1 θ2 Phase space:

Propagator:

Vertex: /p/!(k)(/p − /k) ∼ θ in a physical gauge

(helicity conservation in the quark gluon vertex !)

2 1 θ2

1

θ2 θθ ∼ 2 θ2

2 1 θ2 θ

In a physical gauge interferences can be neglected

not singular enough !

(26)

. . 2PI

2PI

f(0) 2PI

KT

KT µ

F

< µ

F

>

2PI =

General strategy: decompose diagrams in 2PI blocks (such that they cannot be disjoint by cutting only two lines)

2PI blocks are free of collinear singularities in a physical gauge

Introduce an arbitrary separation scale µF

Process dependent but finite

Universal but divergent

Reabsorb the divergent part in the redefinition of f(x)

analogy with renormalization

(27)

σ(p, Q) = !

a

" 1

0

dzfa(z, µ2F )ˆσa(zp, αS(Q2); µ2F )

Physical cross sections cannot depend on µF

µF

µF dependence must cancel between and

The choice of is arbitrary but if is too different from the hard scale reappear that spoil the

perturbative expansion

µF µF

Q log Q22F

Introduction of an arbitrary scale

Parton densities become scale dependent

Such scale dependence is associated with the resummation of large collinear logs

The scale dependence is perturbatively computable

DGLAP equations

f

a

σ ˆ

a

(28)

. .

f(0) P

P1 n Q2

Q0

kn~ xn p+kT n

k1~ x1 p+kT 1 z1

zn

DGLAP equations

f (µ2F ) = f0 E(µ2F /Q20)

Q2 > kT n2 > ...kT 12 > Q20

f (x, Q2) = f0(x) +

! Q2 Q20

dkT n2 kT n2

! 1

x

dzn

zn PnS(kT n2 ), zn)f (x/zn, kT n2 )

The important region is:

where the maximum power of log Q2/Q20 is generated iterative structure

Taking derivative with respect to

Q2 ∂f (x, Q2)

∂Q2 =

! 1

x

dz

z P (αS(Q2), z)f (x/z, Q2)

Q2

First order differential

equation: can be solved if f is known at a reference scale Q0

!

n

(29)

Q2

f Pab

x/z x

a

b b

f

Q2 x

a a

Q2

∂Q2

=

Probability to find parton in parton at scale

PabS(Q2), z)

PabS, z) = αS

2π Pab(0)(z) + !αS

"2

Pab(1)(z) + ! αS

"3

Pab(2)(z) + ...

Pab(0) and Pab(1) are known (now also !)Pab(2)

Solving DGLAP equation using allows us to resum Leading Logarithmic (LL) contributions

Pab(0)

αSn logn Q2/Q20

αSn logn−1 Q2/Q20

With we resum also Next-to-leading terms (NLL)Pab(1)

Probabilistic interpretation:

b a

Q2

Convolution conservation of longitudinal momentum

(30)

+ ! 11

6 CA

2

3 TR nF

"

δ(1 − z)

P (0)

qq (z) = CF

! 1 + z2 (1 − z)+

+ 3

2δ(1 − z)

"

P (0)

gg (z) = 2CA! z

(1 − z)+ + 1 − z

z + z(1 − z)"

P(0)

gq (z) = CF ! 1 + (1 − z)2 z

"

P (0)

qg (z) = TR !z2 + (1 − z)2"

! 1

0

f(z)

(1 − z)+

! 1

0

f(z) − f(1) 1 − z

+ distribution defined as

(31)

Exercise: compute Real:

Use Sudakov parametrization:

kµ = zpµ + kTµ + k2 − kT2

2zp · n nµ

(p − k)µ = (1 − z)pµ − k

µ T

kT2

2(1 − z)p · nnµ

Work in axial gauge

and check that Pqqreal(z) = CF

1 + z2 1 − z

Can be obtained from real by using fermion number conservation

! 1

0

Pqq(x)dx = 0

Extract the leading contribution in 1/k2

P virt

qq = A δ(1 − z)

Virtual:

must be of the form

integral of valence quark density

cannot depend on Q2

gauge vector

Pqq(0)

(32)

Solving DGLAP equation

Consider for simplicity the case of non-singlet Q2 ∂f (x, Q2)

∂Q2 =

! 1

x

dz

z PqqS(Q2), z)f (x/z, Q2)

fN =

! 1

0

f(x)xN −1dx

(f ⊗ g)(x) =

! 1

x

dz

z f(z)g(x z )

(f ⊗ g)N =

! 1

0

(f ⊗ g)(x) xN −1dx

=

! 1

0

dxxN1

! 1

x

dz

z f(z)g "x z

#

=

!

zN −1 tN −1dt dzf(z) g(t) = fN gN Define Mellin moments

In Mellin space DGLAP becomes

Q2 ∂fN (Q2)

∂Q2 = γN,qq S(Q2)" fN (Q2)

DGLAP equation is diagonal

Anomalous dimension

(33)

Positive at small x

Slightly negative at large x

Scaling violations are:

Since:

γab(N ) =

! 1

0

Pab(x)xN1

The small region corresponds to small , whereas selects large x → 1

x

γgg 2CA N − 1

N N

N small as N → ∞

Q

x

2

f(x,Q2)

Main effect of increase in is shift of partons from larger to smaller x

Q2

γaa → −2Ca log N

(34)
(35)

QCD at hadron colliders

In hadron collisions all phenomena are QCD related but we must distinguish between hard and soft

processes

x1p1 x2p2

h2

h1

Only hard scattering events can be controlled via the factorization theorem

Hard subprocess

Soft underlying event Production of low pt

hadrons: most common events

(36)

Same parton densities measured in DIS !

x1

x2

h2

h1

a

b

X

Proof of factorization:

similar to DIS: absorb initial state collinear divergences into a redefinition of parton distributions but....

The proof that soft gluons do not spoil factorization is very difficult: soft gluons (large wavelenght) can transfer colour information between the two initial state hadrons

Explicit calculations have shown that factorization breaking effects are present but are power suppressed in the high

energy limit

σ(p1, p2; Q2) = !

a,b

" 1

0

dx1

" 1

0

dx2 fh1,a(x1, µ2F ) fh2,b(x2, µ2F)

׈σab(x1p1, x2p2, αS(Q2), µ2F ) Q2

(37)

10-7 10-6 10-5 10-4 10-3 10-2 10-1 100 100

101 102 103 104 105 106 107 108 109

fixed target HERA

x1,2 = (M/14 TeV) exp(±y) Q = M

LHC parton kinematics

M = 10 GeV

M = 100 GeV

M = 1 TeV

M = 10 TeV

6 6

y = 4 2 0 2 4

Q2 (GeV2 )

x

Varying Q and y

Sensitivity to different

x

1

, x

2

x1 x

Q

2 2

y

h2

h1

x1,2 = Q/√S e±y y = 1

2 ln E + pz E − pz

Define rapidity

x1x2S = Q2

At LO we have:

(38)

Parton distributions:

Determined by global fits to different data sets

Partonic hard cross section: computed with different methods

Predictions at hadron colliders require good knowledge of:

We limit ourselves to considering hard scattering events:

QCD tools

the starting point is the factorization theorem

σ(p1, p2; Q2) = !

a,b

" 1

0

dx1

" 1

0

dx2 fh1,a(x1, µ2F ) fh2,b(x2, µ2F )

׈σab(x1p1, x2p2, αS(Q2), µ2F )

(39)

Fixed order calculations: truncate at a given order in

Resummed calculations: resum (where possible) large

logarithmic contributions improving the reliability of fixed- order expansion: necessary when two different scales are

present

Parton shower simulations:

use colour coherence to approximate multiparton QCD matrix elements

LO, NLO, NNLO

quantum interferences approximated by

angular ordering constraint See G. Corcella lectures

α

S

(40)

Parton distributions

Determined by global fits to different data sets

Parametrize at input scale

xf(x, Q20) = Axα(1 − x)β(1 + !√x + γx + ...) Q0 = 1 4 GeV

Impose momentum sum rule: !

a

" 1

0

dxxf(x, Q20) = 1

Then fit to data to obtain the parameters Standard procedure:

Evolve to desired and compute physical observablesQ2

Main groups: MRST, CTEQ

Now also: Alekhin, ZEUS, NNPDF..

(41)

DIS:

Drell-Yan

Fixed target: valence quark densities HERA:

f

g

, f

sea at small x

quark densities

Typical processes:

collisions: sensitive to antiquarks and sea densities

pp

p p ¯

collisions: sensitive to flavour

asymmetries of valence quarks q

¯ q

V

h1

h2

(42)

d(x)/¯¯ u(x) from FNAL E866/Nusea 800 GeV p + p and p + d → µ+µ

σpp 4

9u(x1u(x2) + 1

9d(x1) ¯d(x2) σpn

4

9u(x1) ¯d(x2) + 1

9d(x1u(x2)

Obtain neutron pdfs

from isospin symmetry:

σpd

pp ∼ 1 2

!

1 + d¯

2

2

"

x1 ! x2

u ↔ d u ↔ ¯¯ d

Assuming σpd ∼ σpp + σpn and using d(x) ! 4u(x)

σpd pp

!

!

!x1!x2 1 2

1 + 14 ud(x(x1)

1)

1 + 14 ud(x(x1) ¯d(x2)

1u(x2)

"

1 + d¯(x2)

¯

u(x2)

#

(43)

-0.2 -0.15 -0.1 -0.05 0 0.05 0.1 0.15 0.2 0.25

0 0.5 1 1.5 2

!Lepton Rapidity!

Charge Asymmetry

CDF 1992-1995 (110 pb-1 e+!)

CTEQ-3M RESBOS

CTEQ-3M DYRAD

MRS-R2 (DYRAD) MRS-R2 (DYRAD)(d/u Modified) MRST (DYRAD)

u

d = d¯ u¯ = u

W asymmetry in collisionspp¯ d

W

in the proton in the proton

If in the proton is faster than

(u(x) > d(x)) u

d

W +

produced mainly in direction

W +(W )

p (¯ p )

A(y) =

(W+)

dy

(W) dy (W+)

dy + (Wdy )

The W asymmetry is a measure of

u(x1)d(x2) − d(x1)u(x2) u(x1)d(x2) + d(x1)u(x2)

measure the charged lepton asymmetry

In practice W → lν

(44)

Jets at Tevatron

f

g at large x

MRST 2002 and D0 jet data, !S(MZ)=0.1197 , "2= 85/82 pts

0 0.5 1

0 50 100 150 200 250 300 350 400 450

0.0 !"# # "#"! 0.5

0 0.5 1

0 50 100 150 200 250 300 350 400 450

0.5 !"# # #"! 1.0

0 0.5 1

0 50 100 150 200 250 300 350 400 450

1.0 !"# # #"! 1.5

(Data - Theory) / Theory

-0.5 0 0.5 1

0 50 100 150 200 250 300 350 400 450

1.5 !"# # #"! 2.0

ET (GeV)

1 10 10 2 10 3 10 4 10 5 10 6 10 7

50 100 150 200 250 300 350 400 450 500

0.0 !!"""!# 0.5 0.5 !!"""!# 1.0 1.0 !!"""!# 1.5 1.5 !!"""!# 2.0 2.0 !!"""!# 3.0

Note:

Strong interplay between possible new physics effects at large

and extraction of the gluon

ET

(45)

x

0 0.2 0.4 0.6 0.8 1 1.2

x f(x,Q)

10-4 10-3 10-2 10-1 .2 .3 .4 .5 .6 .7 Q = 5 GeV

.8 Overview of Parton Distribution Functions of the Proton

CTEQ5M Gluon / 15dbar ubar

s c uv dv

(dbar-ubar) * 5

Typical behaviour of parton densities in the proton

All densities vanish as x → 1 At x → 0

- Valence quarks vanish

- Strong rise of the gluon, which becomes dominant - Also sea quarks increase

driven by the gluon through

g → q ¯ q

(46)

- propagation of errors on parameters (”hessian” method) - parameter scan (”lagrange-multiplier” method)

In recent years a consistent effort has been devoted to the study of pdf uncertainties

Experimental errors:

pdf with errors are now available

(47)

Overall picture is that quark densities are reasonably well constrained by DIS and DY data

The gluon is instead more uncertain

Also prompt photon production is sensitive to at large x but...

Theoretical problems and possible inconsistencies between data sets suggested not to use it

fg

102 103

!s (GeV)

Luminosity function at LHC

Fractional Uncertainty 0.1

0.1

0.1

-0.1 -0.1 -0.2 0.2

Q-Q --> W+

Q-Q --> W- G-G 0

0

0

"

" "

"

#

#

!

50 200 500

^

102

!s (GeV) Luminosity function at TeV RunII

Fractional Uncertainty 0.1

0.1

0.1

-0.1 -0.1 -0.2 0.2

Q-Q --> W+ (W-)

Q-Q --> "* (Z) G-G

0

0

0

^

#

# #

$ #

$ 0.3

0.4

200 400

50 20

±

Note that:

(48)

What about theoretical errors ? They are more difficult to quantify

Hints:

How to asses bias from initial parametrization ? Alternative approach: Neural network pdfs

S. Forte et al.

Conservative partons: MRST2003

Study stability with respect to cuts

From 2000 to 1200 data points

Select a data set where consistent

predictions are available: Alekhin 2003

DIS only at LO, NLO, NNLO

Bottom line: more work is needed in this direction...

(49)

QCD calculations at LO

Powerful techniques are available to compute multiparton matrix elements (ME):

These predictions are combined with automatic integration over multiparticle phase space

Cross sections for up to 8 jet production can be computed

Important because multijet final states can mimic signatures induced by physics beyond the standard model

helicity amplitudes / colour - subamplitude decomposition

Contrary to standard MC event generator they correctly include large angle radiation

Important to devise search strategies

See G. Corcella lectures for a more complete description

direct ME generation from interaction Lagrangian

(50)

When precision is an issue LO predictions are not sufficient

At LO jets are partons: it is only including NLO corrections that we can distinguish among jet algorithms

LO calculations are affected by large uncertainties Physical quantities should be

independent on

renormalization and

factorization scales but

truncation of perturbative

series at n-order induces a scale dependence of (n+1) order

At LO the scale at which to evaluate is not even defined !

0 0.5 1 1.5 2 2.5

!R/ET

0 0.2 0.4 0.6 0.8

d!/dET (nb/GeV)

ET = 100 GeV 0.1 < |"| < 0.7 NLO LO

CDF Data

α

S

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