Inclusive hadronic distributions in jets in the vacuum and in the - - PowerPoint PPT Presentation

inclusive hadronic distributions in jets in the vacuum
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Inclusive hadronic distributions in jets in the vacuum and in the - - PowerPoint PPT Presentation

Inclusive hadronic distributions in jets in the vacuum and in the medium Redamy Perez Ramos Universitat de Val` encia, IFIC-CSIC, Spain Rencontres de Physique des Particules 2010, Lyon-France Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP


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SLIDE 1

Inclusive hadronic distributions in jets in the vacuum and in the medium

Redamy Perez Ramos

Universitat de Val` encia, IFIC-CSIC, Spain

Rencontres de Physique des Particules 2010, Lyon-France

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 1 / 15

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SLIDE 2

Outline

Jets in perturbative Quantum Chromodynamics:

production of jets

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 2 / 15

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SLIDE 3

Outline

Jets in perturbative Quantum Chromodynamics:

production of jets some resummation approaches in pQCD: MLLA and DGLAP evolution equations

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 2 / 15

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SLIDE 4

Outline

Jets in perturbative Quantum Chromodynamics:

production of jets some resummation approaches in pQCD: MLLA and DGLAP evolution equations

Results

Single inclusive differential one-particle distribution as a function of k⊥

dσ d ln k⊥ in MLLA and Next-to-MLLA; comparison with CDF p-p data

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 2 / 15

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SLIDE 5

Outline

Jets in perturbative Quantum Chromodynamics:

production of jets some resummation approaches in pQCD: MLLA and DGLAP evolution equations

Results

Single inclusive differential one-particle distribution as a function of k⊥

dσ d ln k⊥ in MLLA and Next-to-MLLA; comparison with CDF p-p data

Extension of some perturbative techniques to the phenomenology of heavy-ion collisions at RHIC and LHC, Borghini-Wiedemann model (Charged hadronic multiplicities in jets, gluon to quark multiplicity ratio, FFs and collimation.. . )

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 2 / 15

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SLIDE 6

Outline

Jets in perturbative Quantum Chromodynamics:

production of jets some resummation approaches in pQCD: MLLA and DGLAP evolution equations

Results

Single inclusive differential one-particle distribution as a function of k⊥

dσ d ln k⊥ in MLLA and Next-to-MLLA; comparison with CDF p-p data

Extension of some perturbative techniques to the phenomenology of heavy-ion collisions at RHIC and LHC, Borghini-Wiedemann model (Charged hadronic multiplicities in jets, gluon to quark multiplicity ratio, FFs and collimation.. . )

Conclusions

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 2 / 15

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SLIDE 7

Production of jets

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 3 / 15

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SLIDE 8

Production of jets

Partonic cascade: traited in pQCD

planar gauge: tree amplitudes ⇒ parton shower picture (probabilistic interpretation)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 3 / 15

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SLIDE 9

Production of jets

Partonic cascade: traited in pQCD

planar gauge: tree amplitudes ⇒ parton shower picture (probabilistic interpretation)

Hadronization: advocates for Local Parton Hadron Duality Hypothesis (LPHD)

partonic distributions ≃ hadronic distributions: factor Kch “limiting spectrum:” Q0 ∼ ΛQCD

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 3 / 15

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Angular Ordering

Θ Θ Θ 1 2 3 Θ Θ Θ 3 2 1 > >

necessary condition to the construction of QCD evolution equations ⇔ to the k⊥-ordering of Dokshitzer-Gribov-Lipatov-Altereli-Parisi (DGLAP) evolution equations in the DIS

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 4 / 15

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Resummation schemes

DLA: αslog(1/x)log Θ (αs log2 ∼ 1 ⇒ log ∼ α−1/2

s

): resummation of soft and collinear gluons

main ingredient to the estimation of inclusive observables in jets neglects the energy balance

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 5 / 15

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Resummation schemes

DLA: αslog(1/x)log Θ (αs log2 ∼ 1 ⇒ log ∼ α−1/2

s

): resummation of soft and collinear gluons

main ingredient to the estimation of inclusive observables in jets neglects the energy balance

Single Logs (SL): αslog Θ

collinear splittings (i.e. DGLAP FO approach or LLA of FFs, PDFs at large x ∼ 1 (DIS). . . ) running of αs(k⊥ → Q0) . . . “ ⇒ β × αn

s logn Θ”

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 5 / 15

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Resummation schemes

DLA: αslog(1/x)log Θ (αs log2 ∼ 1 ⇒ log ∼ α−1/2

s

): resummation of soft and collinear gluons

main ingredient to the estimation of inclusive observables in jets neglects the energy balance

Single Logs (SL): αslog Θ

collinear splittings (i.e. DGLAP FO approach or LLA of FFs, PDFs at large x ∼ 1 (DIS). . . ) running of αs(k⊥ → Q0) . . . “ ⇒ β × αn

s logn Θ”

MLLA: αsloglog

  • O(1)

+ αslog

O(√αs)

: the SL corrections to DLA

“partially restore” the energy balance take into account the running of αs(k⊥)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 5 / 15

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SLIDE 14

Resummation schemes

DLA: αslog(1/x)log Θ (αs log2 ∼ 1 ⇒ log ∼ α−1/2

s

): resummation of soft and collinear gluons

main ingredient to the estimation of inclusive observables in jets neglects the energy balance

Single Logs (SL): αslog Θ

collinear splittings (i.e. DGLAP FO approach or LLA of FFs, PDFs at large x ∼ 1 (DIS). . . ) running of αs(k⊥ → Q0) . . . “ ⇒ β × αn

s logn Θ”

MLLA: αsloglog

  • O(1)

+ αslog

O(√αs)

: the SL corrections to DLA

“partially restore” the energy balance take into account the running of αs(k⊥)

Next-to-MLLA: αsloglog

  • O(1)

+ αslog

O(√αs)

+ αsloglog−1

  • O(αs)

improve the restoration of the energie balance and allow to increase the range in “x” (k⊥ ≈ xEjetΘ)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 5 / 15

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For instance: ((N)MLLA ev. eq., gluon and quark jets)

˜ Dh

g(ℓ, y)

  • gluon jet

= δ(ℓ) + ℓ dℓ′ y dy′γ2

0(ℓ′ + y ′)

  • 1
  • DLA

− (a1 + a2 ψℓ(ℓ′, y ′)) δ(ℓ′ − ℓ)

  • × ˜

Dh

g(ℓ′, y ′)

˜ Dh

q(ℓ, y)

  • quark jet

= δ(ℓ) + CF Nc . . . (˜ a1, ˜ a2ψℓ) . . . ˜ Dh

g (ℓ′, y ′),

ℓ = ln(1/x)

  • infrared

, y = ln(k⊥/Λ)

  • collinear

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 6 / 15

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For instance: ((N)MLLA ev. eq., gluon and quark jets)

˜ Dh

g(ℓ, y)

  • gluon jet

= δ(ℓ) + ℓ dℓ′ y dy′γ2

0(ℓ′ + y ′)

  • 1
  • DLA

− (a1 + a2 ψℓ(ℓ′, y ′)) δ(ℓ′ − ℓ)

  • × ˜

Dh

g(ℓ′, y ′)

˜ Dh

q(ℓ, y)

  • quark jet

= δ(ℓ) + CF Nc . . . (˜ a1, ˜ a2ψℓ) . . . ˜ Dh

g (ℓ′, y ′),

ℓ = ln(1/x)

  • infrared

, y = ln(k⊥/Λ)

  • collinear

Logic of Low-Barnet-Kroll theorem: DLA (LO) term: ∝ O(1) hard corrections: ∝ a1 ∼ O(√αs) & ∝ a2(ψℓ = ∂Dh

∂ℓ ) ∼ O(αs)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 6 / 15

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For instance: ((N)MLLA ev. eq., gluon and quark jets)

˜ Dh

g(ℓ, y)

  • gluon jet

= δ(ℓ) + ℓ dℓ′ y dy′γ2

0(ℓ′ + y ′)

  • 1
  • DLA

− (a1 + a2 ψℓ(ℓ′, y ′)) δ(ℓ′ − ℓ)

  • × ˜

Dh

g(ℓ′, y ′)

˜ Dh

q(ℓ, y)

  • quark jet

= δ(ℓ) + CF Nc . . . (˜ a1, ˜ a2ψℓ) . . . ˜ Dh

g (ℓ′, y ′),

ℓ = ln(1/x)

  • infrared

, y = ln(k⊥/Λ)

  • collinear

Logic of Low-Barnet-Kroll theorem: DLA (LO) term: ∝ O(1) hard corrections: ∝ a1 ∼ O(√αs) & ∝ a2(ψℓ = ∂Dh

∂ℓ ) ∼ O(αs)

˜ Dh

g = (ℓ + y)

dωdν

(2πi)2 eωℓeνy ∞ ds ν+s

  • ω(ν+s)

(ω+s)ν

σ0

ν ν+s

σ1+σ2 e−σ3 s

σ0 =

1 β0(ω−ν),

σ1 = a1

β0 ,

σ2 = − a2

β0 (ω − ν),

σ3 = − a2

β0 + λ

˜ Dh

q ≃ CF Nc

  • 1 + r1

√αs + r2αs ˜ Dh

g

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 6 / 15

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Reminder: Dokshitzer et al.

Hump-backed plateau: ˜ Dh ≡ Kch × 1 σ dσ d ln (1/x) at Z 0 peak, Q = 91.2 GeV

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 7 / 15

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Reminder: Dokshitzer et al.

Hump-backed plateau: ˜ Dh ≡ Kch × 1 σ dσ d ln (1/x) at Z 0 peak, Q = 91.2 GeV

1 2 3 4 5 6 7 1 2 3 4 5 6 D ln(1/x) MLLA limiting spectrum OPAL data

Q ≫ Q0 ∼ ΛQCD ≈ m(π±) = 230 MeV, γ0 ≈ 0.5, good agreement though!

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 7 / 15

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Inclusive k⊥-one particle distribution

dσ d ln k⊥

Inclusive one particle

dσ d ln k⊥ : obtained from the correlation between

  • ne particle and the energy flux (jet axis)

DA 0 D Θ0 h A A xE h (Jet Axis) Θ A0 E uE A Collision k Angle d’ouverture du jet Parton initiant le jet Etat vituel (u~1) Angle de production de h (Θ < Θ ) = xE Θ > Q0

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 8 / 15

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Inclusive k⊥-one particle distribution

dσ d ln k⊥

Inclusive one particle

dσ d ln k⊥ : obtained from the correlation between

  • ne particle and the energy flux (jet axis)

DA 0 D Θ0 h A A xE h (Jet Axis) Θ A0 E uE A Collision k Angle d’ouverture du jet Parton initiant le jet Etat vituel (u~1) Angle de production de h (Θ < Θ ) = xE Θ > Q0

Analytical computation of

dσ d ln k⊥ in jets from DGLAP (DA A0) and MLLA

and NMLLA (Dh

A)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 8 / 15

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Inclusive k⊥-one particle distribution

dσ d ln k⊥

Inclusive one particle

dσ d ln k⊥ : obtained from the correlation between

  • ne particle and the energy flux (jet axis)

DA 0 D Θ0 h A A xE h (Jet Axis) Θ A0 E uE A Collision k Angle d’ouverture du jet Parton initiant le jet Etat vituel (u~1) Angle de production de h (Θ < Θ ) = xE Θ > Q0

Analytical computation of

dσ d ln k⊥ in jets from DGLAP (DA A0) and MLLA

and NMLLA (Dh

A)

  • btained for the “limiting spectrum” (Q0 = ΛQCD) and beyond

(Q0 = ΛQCD, providing predictions for different species of charged hadrons)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 8 / 15

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SLIDE 23

Inclusive k⊥-one particle distribution

dσ d ln k⊥

Inclusive one particle

dσ d ln k⊥ : obtained from the correlation between

  • ne particle and the energy flux (jet axis)

DA 0 D Θ0 h A A xE h (Jet Axis) Θ A0 E uE A Collision k Angle d’ouverture du jet Parton initiant le jet Etat vituel (u~1) Angle de production de h (Θ < Θ ) = xE Θ > Q0

Analytical computation of

dσ d ln k⊥ in jets from DGLAP (DA A0) and MLLA

and NMLLA (Dh

A)

  • btained for the “limiting spectrum” (Q0 = ΛQCD) and beyond

(Q0 = ΛQCD, providing predictions for different species of charged hadrons)

Tested for the MLLA and NMLLA validity regions (from small to larger k⊥)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 8 / 15

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Comparison with CDF data for

dσ d ln k⊥ at the Tevatron

/1GeV/c)

T

ln(k

  • 0.5

0.5 1 1.5 2 2.5 )

T

1/N’ dN/dln(k

  • 3

10

  • 2

10

  • 1

10 1

CDF Run II Total Uncertainty MLLA (Perez/Machet) NMLLA (Arleo/Perez/Machet)

=74*0.5=37 GeV

c

θ

jet

Q=E )<0.0 (N’)

T

Normalized to bin:-0.2<ln(k

/1GeV/c)

T

ln(k

  • 0.5

0.5 1 1.5 2 2.5 3 )

T

1/N’ dN/dln(k

  • 3

10

  • 2

10

  • 1

10 1

CDF Run II Total Uncertainty MLLA (Perez/Machet) NMLLA (Arleo/Perez/Machet)

=180*0.5=90 GeV

c

θ

jet

Q=E )<0.0 (N’)

T

Normalized to bin:-0.2<ln(k

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 9 / 15

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SLIDE 25

Comparison with CDF data for

dσ d ln k⊥ at the Tevatron

/1GeV/c)

T

ln(k

  • 0.5

0.5 1 1.5 2 2.5 )

T

1/N’ dN/dln(k

  • 3

10

  • 2

10

  • 1

10 1

CDF Run II Total Uncertainty MLLA (Perez/Machet) NMLLA (Arleo/Perez/Machet)

=74*0.5=37 GeV

c

θ

jet

Q=E )<0.0 (N’)

T

Normalized to bin:-0.2<ln(k

/1GeV/c)

T

ln(k

  • 0.5

0.5 1 1.5 2 2.5 3 )

T

1/N’ dN/dln(k

  • 3

10

  • 2

10

  • 1

10 1

CDF Run II Total Uncertainty MLLA (Perez/Machet) NMLLA (Arleo/Perez/Machet)

=180*0.5=90 GeV

c

θ

jet

Q=E )<0.0 (N’)

T

Normalized to bin:-0.2<ln(k

CDF data in very good agreement with NMLLA expectations

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 9 / 15

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SLIDE 26

Comparison with CDF data for

dσ d ln k⊥ at the Tevatron

/1GeV/c)

T

ln(k

  • 0.5

0.5 1 1.5 2 2.5 )

T

1/N’ dN/dln(k

  • 3

10

  • 2

10

  • 1

10 1

CDF Run II Total Uncertainty MLLA (Perez/Machet) NMLLA (Arleo/Perez/Machet)

=74*0.5=37 GeV

c

θ

jet

Q=E )<0.0 (N’)

T

Normalized to bin:-0.2<ln(k

/1GeV/c)

T

ln(k

  • 0.5

0.5 1 1.5 2 2.5 3 )

T

1/N’ dN/dln(k

  • 3

10

  • 2

10

  • 1

10 1

CDF Run II Total Uncertainty MLLA (Perez/Machet) NMLLA (Arleo/Perez/Machet)

=180*0.5=90 GeV

c

θ

jet

Q=E )<0.0 (N’)

T

Normalized to bin:-0.2<ln(k

CDF data in very good agreement with NMLLA expectations range of validity enlarged at NMLLA

Reference: Aaltonen et al., CDF Collab; Phys. Rev. Lett. 102 (2009) 232002

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 9 / 15

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SLIDE 27

1 2

NMLLA MLLA

Q=155 GeV Q=90 GeV Q=50 GeV Q=27 GeV

ln (k⊥ / 1GeV) 1/N’ dN / d ln k⊥

1 2 3 normalized to bin: ln(k⊥)=-0.1

CDF preliminary

Q=119 GeV Q=68 GeV Q=37 GeV Q=19 GeV

ln (k⊥ / 1GeV)

Reference: Arleo, Perez-Ramos, Machet; Phys. Rev. Lett. 100 (2008) 052002

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 10 / 15

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Energy loss from Borghini-Wiedemann model

Energy loss: Borghini-Wiedemann model, hep-ph/0506218 dσq

q ∝ αs(k2 ⊥)

4π Pq

q (x)dx

x dk2

k2

, Pq

q (x) = CF

  • 2Ns

(1 − x)+ − (1 − x)

  • Redamy Perez Ramos (IFIC-CSIC)

Jets in QCD RPP 2010 in Lyon, France 11 / 15

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SLIDE 29

Energy loss from Borghini-Wiedemann model

Energy loss: Borghini-Wiedemann model, hep-ph/0506218 dσq

q ∝ αs(k2 ⊥)

4π Pq

q (x)dx

x dk2

k2

, Pq

q (x) = CF

  • 2Ns

(1 − x)+ − (1 − x)

  • Signatures to shed light on the role of the QGP:

Medium-modified multiplicity Nh

A, ratio r = Nh

G

Nh

Q , multiplicity correlators

Nh

A(Nh A−1)

N2

A

as function of the nuclear parameter Ns; P´ erez-Ramos, Eur.Phys.J. C 62 (2009) 541, J.Phys. G 36 (2009) 105006

evident shift towards DLA (LO) solution

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 11 / 15

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SLIDE 30

Energy loss from Borghini-Wiedemann model

Energy loss: Borghini-Wiedemann model, hep-ph/0506218 dσq

q ∝ αs(k2 ⊥)

4π Pq

q (x)dx

x dk2

k2

, Pq

q (x) = CF

  • 2Ns

(1 − x)+ − (1 − x)

  • Signatures to shed light on the role of the QGP:

Medium-modified multiplicity Nh

A, ratio r = Nh

G

Nh

Q , multiplicity correlators

Nh

A(Nh A−1)

N2

A

as function of the nuclear parameter Ns; P´ erez-Ramos, Eur.Phys.J. C 62 (2009) 541, J.Phys. G 36 (2009) 105006

evident shift towards DLA (LO) solution

Medium-modified FFs Dh

A(x, Q2) from large to small x; Albino, Kniehl,

P´ erez-Ramos, Nucl.Phys. B 19 (2009) 306

suppression of FFs at large x and enhancement at small x

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 11 / 15

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SLIDE 31

Energy loss from Borghini-Wiedemann model

Energy loss: Borghini-Wiedemann model, hep-ph/0506218 dσq

q ∝ αs(k2 ⊥)

4π Pq

q (x)dx

x dk2

k2

, Pq

q (x) = CF

  • 2Ns

(1 − x)+ − (1 − x)

  • Signatures to shed light on the role of the QGP:

Medium-modified multiplicity Nh

A, ratio r = Nh

G

Nh

Q , multiplicity correlators

Nh

A(Nh A−1)

N2

A

as function of the nuclear parameter Ns; P´ erez-Ramos, Eur.Phys.J. C 62 (2009) 541, J.Phys. G 36 (2009) 105006

evident shift towards DLA (LO) solution

Medium-modified FFs Dh

A(x, Q2) from large to small x; Albino, Kniehl,

P´ erez-Ramos, Nucl.Phys. B 19 (2009) 306

suppression of FFs at large x and enhancement at small x

Collimation of multiplicity in jets in the vacuum and in the medium, Arleo, P´ erez-Ramos, Phys.Lett. B 682 (2009) 50

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 11 / 15

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SLIDE 32

Multiplicity and mult. ratio in vacuum vs. medium

10 100 1000 20 40 60 80 100 120 140 160 180 200 Ng

h

Q (GeV) MLLA, Ns=1 MLLA, Ns=1.6 MLLA, Ns=1.8 2 2.02 2.04 2.06 2.08 2.1 2.12 2.14 20 40 60 80 100 120 140 160 180 200 r Q(GeV) MLLA, Ns=1 MLLA, Ns=1.6 MLLA, Ns=1.8

Nh

g (Q) ≃

  • ln Q

Λ − σ1

β0 exp

  • 4Ns

β0 ln Q Λ , r(Q) ≡ Nh

g

Nh

q

= Nc CF

  • 1 − r

αs Ns

  • References:
  • R. P´

erez-Ramos, Eur. Phys. J. C 62 (2009) 541,

  • J. Phys. G: Nucl. Part. Phys. 36

(2009) 105006

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 12 / 15

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SLIDE 33

Fragmentation functions vacuum vs. medium

1 2 3 4 5 6 7

ln1/z

5 10

zDg(z) Ns=1 Ns=1.8

1 2 3 4 5 6 7

ln1/z

5 10

zDΣ(z) Ns=1 Ns=1.8

  • From DGLAP (large z) and DLA evolution equations (soft gluon

logarithms, small z) as a fonction of the nuclear parameter Ns.

Reference:

  • S. Albino, B.A. Kniehl and R. P´

erez-Ramos, Nucl. Phys. B 19 (2009) 306

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 13 / 15

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SLIDE 34

Collimation of average multiplicity in jets

Nh(Θ, E) = δ × Nh(Θ0, E) = ⇒ Θ/Θ0 ∼

  • Nh(E/Λ)

1 2Ns β0 ln 1 δ Θ0 Θ Calorimeter

0.1 0.2 0.3 0.4 0.5 0.6 0.7 10

2

10

3

10

4

Ns = 1.0 Ns = 1.6 Ns = 1.8

quark

E/ΛQCD Θc / Θ0

Jets (vacuum and medium) more collimated around the jet axis as the energy of the leading parton increases;

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 14 / 15

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SLIDE 35

Collimation of average multiplicity in jets

Nh(Θ, E) = δ × Nh(Θ0, E) = ⇒ Θ/Θ0 ∼

  • Nh(E/Λ)

1 2Ns β0 ln 1 δ Θ0 Θ Calorimeter

0.1 0.2 0.3 0.4 0.5 0.6 0.7 10

2

10

3

10

4

Ns = 1.0 Ns = 1.6 Ns = 1.8

quark

E/ΛQCD Θc / Θ0

Jets (vacuum and medium) more collimated around the jet axis as the energy of the leading parton increases; evidence for a “broadening” of jets in nuclear media.

References:

  • F. Arleo, R. P´

erez-Ramos, Phys. Lett. B 682 (2009) 50

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 14 / 15

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SLIDE 36

Conclusion

Very good agreement between NMLLA predictions and the CDF data

in a broader k⊥ range than in MLLA NMLLA→MLLA asymptotically

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 15 / 15

slide-37
SLIDE 37

Conclusion

Very good agreement between NMLLA predictions and the CDF data

in a broader k⊥ range than in MLLA NMLLA→MLLA asymptotically

Further test of LPHD hypothesis (partons roughly behave as hadrons)

pQCD successfully predicts the shape of 1

σ dσ d ln k⊥

also confirmed for multiplicities, multiplicity correlators (KNO problems where an analogous set of NMLLA corrections was included!), hump-backed plateau

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 15 / 15

slide-38
SLIDE 38

Conclusion

Very good agreement between NMLLA predictions and the CDF data

in a broader k⊥ range than in MLLA NMLLA→MLLA asymptotically

Further test of LPHD hypothesis (partons roughly behave as hadrons)

pQCD successfully predicts the shape of 1

σ dσ d ln k⊥

also confirmed for multiplicities, multiplicity correlators (KNO problems where an analogous set of NMLLA corrections was included!), hump-backed plateau

Limiting spectrum proves once again to be the most successful to describing the data Increase of average multiplicity in medium-modified jets at small x and suppression of hard corrections (factor 1/√Ns) Suppression of FFs at large x Broadening of jets in the medium as compared to those in the vacuum (for same energy of the leadin parton)

Redamy Perez Ramos (IFIC-CSIC) Jets in QCD RPP 2010 in Lyon, France 15 / 15