DIPSY, ropes and shoving

59
Introduction Rope fragmentation Rope Shoving ˇ DIPSY, ropes and shoving Leif Lönnblad (with Christian Bierlich and Gösta Gustafson) Department of Astronomy and Theoretical Physics Lund University CERN 2017-06-15 Ropes and Shoving 1 Leif Lönnblad Lund University

Transcript of DIPSY, ropes and shoving

Page 1: DIPSY, ropes and shoving

Introduction

Rope fragmentation

Rope Shovingˇ

DIPSY, ropes and shoving

Leif Lönnblad

(with Christian Bierlich and Gösta Gustafson)

Department of Astronomyand Theoretical Physics

Lund University

CERN 2017-06-15

Ropes and Shoving 1 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Nature Phys. 13 (2017) 535-539

Ropes and Shoving 2 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Outline

String hadronisation in dense environments

Understanding Impact parameter geometry

From pp to pA to AA

[arXiv:1412.6259, arXiv:1607.04434, arXiv:1612.05132]

Ropes and Shoving 3 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Outline

String hadronisation in dense environments

→ Ropes and Shoving

Understanding Impact parameter geometry

From pp to pA to AA

[arXiv:1412.6259, arXiv:1607.04434, arXiv:1612.05132]

Ropes and Shoving 3 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Outline

String hadronisation in dense environments

→ Ropes and Shoving

Understanding Impact parameter geometry

→ DIPSY vs. Pythia8

From pp to pA to AA

[arXiv:1412.6259, arXiv:1607.04434, arXiv:1612.05132]

Ropes and Shoving 3 Leif Lönnblad Lund University

Page 6: DIPSY, ropes and shoving

Introduction

Rope fragmentation

Rope Shovingˇ

Outline

String hadronisation in dense environments

→ Ropes and Shoving

Understanding Impact parameter geometry

→ DIPSY vs. Pythia8

From pp to pA to AA

→ resurrecting Fritiof in Pythia8

[arXiv:1412.6259, arXiv:1607.04434, arXiv:1612.05132]

Ropes and Shoving 3 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Lund Model

The tunnelling mechanism: P ∝ e−πm2

q⊥κ ≡ e−

πm2q

κ e−πp2

κ

The fragmentation function: p(z) = N(1−z)a

z e−bm2⊥/z

Many parameters depends (implicitly) on κ.

Ropes and Shoving 4 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Lund Model (short version)

The tunnelling mechanism: P ∝ e−πm2

q⊥κ ≡ e−

πm2q

κ e−πp2

κ

The fragmentation function: p(z) = N(1−z)a

z e−bm2⊥/z

Many parameters depends (implicitly) on κ.

Ropes and Shoving 4 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Lund Model

The tunnelling mechanism: P ∝ e−πm2

q⊥κ ≡ e−

πm2q

κ e−πp2

κ

The fragmentation function: p(z) = N(1−z)a

z e−bm2⊥/z

Many parameters depends (implicitly) on κ.

Ropes and Shoving 4 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Lund Model

The tunnelling mechanism: P ∝ e−πm2

q⊥κ ≡ e−

πm2q

κ e−πp2

κ

The fragmentation function: p(z) = N(1−z)a

z e−bm2⊥/z

Many parameters depends (implicitly) on κ.

Ropes and Shoving 4 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Overlapping strings

How do we treat strings that overlap in space–time?

Ropes and Shoving 5 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Take the simplest case of two simple, un-correlated, completely

overlapping strings, with opposite colour flow.

q1

q2

q3

q4

1/9: A colour-singlet

8/9: A colour-octet

The string tension affects all details in the Lund string

fragmentation.

It is proportional to the Casimir operator C(8)2 = 9

4C

(3)2 .

Ropes and Shoving 6 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Take the simplest case of two simple, un-correlated, completely

overlapping strings, with opposite colour flow.

q1

q2

q3

q4

1/9: A colour-singlet

8/9: A colour-octet

The string tension affects all details in the Lund string

fragmentation.

It is proportional to the Casimir operator C(8)2 = 9

4C

(3)2 .

Ropes and Shoving 6 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

And for parallel colour flows:.

q1

q2

q3

q4

1/3: An anti-triplet

2/3: A sextet

C(6)2 = 5

2C(3)2

The anti-triplet case is related to string junctions and baryon

production (popcorn mechanism).

Ropes and Shoving 7 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

And for parallel colour flows:.

q1

q2

q3

q4

1/3: An anti-triplet

2/3: A sextet

C(6)2 = 5

2C(3)2

The anti-triplet case is related to string junctions and baryon

production (popcorn mechanism).

Ropes and Shoving 7 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

A random walk in colour-space

3

6

3

10

8

8

1

[Biro, Nielsen, Knoll (1984)]

Ropes and Shoving 8 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Rope Model

Partially overlapping string pieces in impact parameter and

rapidity.

Reconnect to get colour singlets.

Random walk for the rest to get higher colour multiplets

(ropes).

The rope will break one string at the time.

Calculate an effective string tension of a break-up, e.g.

the first string to break in a sextet has an effective

κeff ∝ C62 − C3

2 = 32C3

2

The second breakup has standard κ ∝ C32

Rescale the PYTHIA8 parameters accordingly.

Ropes and Shoving 9 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Rope Model

Partially overlapping string pieces in impact parameter and

rapidity.

Reconnect to get colour singlets.

Random walk for the rest to get higher colour multiplets

(ropes).

The rope will break one string at the time.

Calculate an effective string tension of a break-up, e.g.

the first string to break in a sextet has an effective

κeff ∝ C62 − C3

2 = 32C3

2

The second breakup has standard κ ∝ C32

Rescale the PYTHIA8 parameters accordingly.

Ropes and Shoving 9 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Rope Model

Partially overlapping string pieces in impact parameter and

rapidity.

Reconnect to get colour singlets.

Random walk for the rest to get higher colour multiplets

(ropes).

The rope will break one string at the time.

Calculate an effective string tension of a break-up, e.g.

the first string to break in a sextet has an effective

κeff ∝ C62 − C3

2 = 32C3

2

The second breakup has standard κ ∝ C32

Rescale the PYTHIA8 parameters accordingly.

Ropes and Shoving 9 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

The Rope Model

Partially overlapping string pieces in impact parameter and

rapidity.

Reconnect to get colour singlets.

Random walk for the rest to get higher colour multiplets

(ropes).

The rope will break one string at the time.

Calculate an effective string tension of a break-up, e.g.

the first string to break in a sextet has an effective

κeff ∝ C62 − C3

2 = 32C3

2

The second breakup has standard κ ∝ C32

Rescale the PYTHIA8 parameters accordingly.

Ropes and Shoving 9 Leif Lönnblad Lund University

Page 21: DIPSY, ropes and shoving

Introduction

Rope fragmentation

Rope Shovingˇ

The Rope Model

Partially overlapping string pieces in impact parameter and

rapidity.

Reconnect to get colour singlets.

Random walk for the rest to get higher colour multiplets

(ropes).

The rope will break one string at the time.

Calculate an effective string tension of a break-up, e.g.

the first string to break in a sextet has an effective

κeff ∝ C62 − C3

2 = 32C3

2

The second breakup has standard κ ∝ C32

Rescale the PYTHIA8 parameters accordingly.

Ropes and Shoving 9 Leif Lönnblad Lund University

Page 22: DIPSY, ropes and shoving

Introduction

Rope fragmentation

Rope Shovingˇ

The Rope Model

Partially overlapping string pieces in impact parameter and

rapidity.

Reconnect to get colour singlets.

Random walk for the rest to get higher colour multiplets

(ropes).

The rope will break one string at the time.

Calculate an effective string tension of a break-up, e.g.

the first string to break in a sextet has an effective

κeff ∝ C62 − C3

2 = 32C3

2

The second breakup has standard κ ∝ C32

Rescale the PYTHIA8 parameters accordingly.

Ropes and Shoving 9 Leif Lönnblad Lund University

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Introduction

Rope fragmentation

Rope Shovingˇ

Ropes and Shoving 10 Leif Lönnblad Lund University

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Rope fragmentationˆ

Rope Shoving

DIPSY vs. PYTHIA8ˇ

Will overlapping strings in high multiplets generate a transverse

pressure?

[Abramovsky, Gedalin, Gurvich, Kancheli (1988)]

Ropes and Shoving 11 Leif Lönnblad Lund University

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Rope fragmentationˆ

Rope Shoving

DIPSY vs. PYTHIA8ˇ

Rope Shoving

All strings are sliced into dy slices.

In each (small) time–step dt , each string will get a kick

from other strings:

dp⊥

dydt=

C0td

R2exp

(

− d2

2R2

)

.

Momentum conservation is observed.

Transverse kicks resolved pairwise.

Longitudinal recoil absorbed by kicking dipole.

“kick” → “kink” = gluon

Ropes and Shoving 12 Leif Lönnblad Lund University

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Rope fragmentationˆ

Rope Shoving

DIPSY vs. PYTHIA8ˇ

Rope Shoving

All strings are sliced into dy slices.

In each (small) time–step dt , each string will get a kick

from other strings:

dp⊥

dydt=

C0td

R2exp

(

− d2

2R2

)

.

Momentum conservation is observed.

Transverse kicks resolved pairwise.

Longitudinal recoil absorbed by kicking dipole.

This could give rise to a Ridge!

“kick” → “kink” = gluon

Ropes and Shoving 12 Leif Lönnblad Lund University

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

DIPSY

[Avsar, Flensburg, Gustafson, Lönnblad (2005–2011)]

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

DIPSY

Formulated in impact parameter space and rapidity.

Implements BFKL evolution to leading log(++).

Naturally treats saturation and MPI.

“Trivial” to extend to pA and AA.

Does not describe pp Minimum Bias very well.

[Mueller, Patel (1994)]

Ropes and Shoving 14 Leif Lönnblad Lund University

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

DIPSY

Formulated in impact parameter space and rapidity.

Implements BFKL evolution to leading log(++).

Naturally treats saturation and MPI.

“Trivial” to extend to pA and AA.

Does not describe pp Minimum Bias very well.

[Mueller, Patel (1994)]

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

PYTHIA8

Describes pp Minimum Bias very well.

As well as most other things.

Does not have explicit impact parameter dependence.

Now available with a UserHooks

Cannot do heavy ions.

Yet!

UserHook written by Bierlich

Ropes and Shoving 15 Leif Lönnblad Lund University

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

PYTHIA8

Describes pp Minimum Bias very well.

As well as most other things.

Does not have explicit impact parameter dependence.

Now available with a UserHooks

Cannot do heavy ions.

Yet!

UserHook written by Bierlich

Ropes and Shoving 15 Leif Lönnblad Lund University

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

PYTHIA8

Describes pp Minimum Bias very well.

As well as most other things.

Does not have explicit impact parameter dependence.

Now available with a UserHooks

Cannot do heavy ions.

Yet!

UserHook written by Bierlich

Ropes and Shoving 15 Leif Lönnblad Lund University

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Rope Shovingˆ

DIPSY vs. PYTHIA8

Fritiofˇ

PYTHIA8

Describes pp Minimum Bias very well.

As well as most other things.

Does not have explicit impact parameter dependence.

Now available with a UserHooks

Cannot do heavy ions.

Yet!

UserHook written by Bierlich

Ropes and Shoving 15 Leif Lönnblad Lund University

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DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

Simple picture of pp collisions

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

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Page 35: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

Simple picture of pp collisions

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 36: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

Simple picture of pp collisions

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 37: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

?

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 38: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

multiple soft gluon exchanges

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

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DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

Longitudinal excitation of both protons

P+dQ−

Q−P−

dQ+

Q+

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 40: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

String ends evenly distributed in rapidity

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 41: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

Hadronises as if doubly diffractive excitation

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 42: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

The picture in pA

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 43: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

The picture in pA

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings.

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 44: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

Remember Fritiof?

The picture in pA

Flat rapidity plateau.

High mass diffractions dσ/dM2X ∝ M

−2(1+ǫ)X were ǫ is small.

Works surprisingly well for√

s ≤ ISR.

Fritiof + Glauber gives heavy Ion collisions.

Works very well at low energies.

But at higher energies we need to worry about multiple

(semi-)hard parton–parton scatterings. PYTHIA8!

Ropes and Shoving 16 Leif Lönnblad Lund University

Page 45: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

p

ν1

ν2

ν3

ν4

ν5

Ropes and Shoving 17 Leif Lönnblad Lund University

Page 46: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

p

ν1

ν2

ν3

ν4

ν5

Ropes and Shoving 17 Leif Lönnblad Lund University

Page 47: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

p

ν1

ν2

ν3

ν4

ν5

Ropes and Shoving 17 Leif Lönnblad Lund University

Page 48: DIPSY, ropes and shoving

DIPSY vs. PYTHIA8 ˆ

Fritiof

Resultsˇ

p

ν1

ν2

ν3

ν4

ν5

IP

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Fritiofˆ

Results

Outlook

Does it work?

Ropes and Shoving 18 Leif Lönnblad Lund University

Page 50: DIPSY, ropes and shoving

Fritiofˆ

Results

Outlook

Does it work?

YES!

Ropes and Shoving 18 Leif Lönnblad Lund University

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Fritiofˆ

Results

Outlook

The ALICE plot with nuclei (DIPSY)

101 102 103

Nch, 2<|η|<4, p⟂ > 0.15 GeV

10-3

10-2

10-1

ratio to π

+π−

2K 0s /π

±

6φ/π±

2(Λ+Λ)/π±

6(Ξ+Ξ)/π±

16(Ω+Ω)/π±

e+ e−

DIPSY pp

Pythia8 + ropes

DIPSY pPb

DIPSY PbPb

[http://home.thep.lu.se/dipsy]

Ropes and Shoving 19 Leif Lönnblad Lund University

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Fritiofˆ

Results

Outlook

The Ridge!

Pythia 8 default

Pythia 8 + shoving

0.5

0.6

0.7

0.8

0.9

1.0The ridge, 2 < |∆η| < 4

dN

d∆

φ

-1 0 1 2 3 40.50.60.70.80.91.01.11.21.31.4

∆φ

Ra

tio

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Fritiofˆ

Results

Outlook

Centrality-dependent pseudo-rapidity distribution

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b bb b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b b bb b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b

b b b b b b b b b b b b b b b bb b b b b b

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b bb b

ATLASb

Fritiof/Pythia8

-2 -1 0 1 20

10

20

30

40

50

60

70

80

90

Centrality-dependent η distribution, pPb,√

SNN = 5 TeV.

η

(1/

Nev)

dN

ch/

[arXiv:1508.00848]

Ropes and Shoving 21 Leif Lönnblad Lund University

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Fritiofˆ

Results

Outlook

Outlook

We have all the ingredients: Rope hadronisation String shoving Heavy Ions with PYTHIA8-improved Fritiof

Currently being implemented as a plug-in to/in PYTHIA8.

Ropes and Shoving 22 Leif Lönnblad Lund University

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Fritiofˆ

Results

Outlook

extra plots

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Fritiofˆ

Results

Outlook

b bb b b b

b b b b b b b b b b b b b b b b b b b b b b b b bb b b b

b b b bb b b b b b b b b b b b b b b

Datab

FritiofP8

Absorptive

0

2

4

6

8

10

Centrality 60-90%

dN

/d

η

-2 -1 0 1 2

0.6

0.8

1

1.2

1.4

MC

/D

ata

Ropes and Shoving 24 Leif Lönnblad Lund University

Page 57: DIPSY, ropes and shoving

Fritiofˆ

Results

Outlook

b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b b bDatab

FritiofP8

Absorptive

0

20

40

60

80

100

Centrality 0-1%d

N/

-2 -1 0 1 2

0.6

0.8

1

1.2

1.4

MC

/D

ata

Ropes and Shoving 25 Leif Lönnblad Lund University

Page 58: DIPSY, ropes and shoving

Fritiofˆ

Results

Outlook

bb

bbbb b b

bbbbbb

b

b

b

b

bb

b

b

b

b

b

b

b

b

b

b

b

b

b

b

Datab

FritiofP8

Absorptive

10−5

10−4

10−3

10−2

10−1

1

10 1

pPb @ 5.02 TeV, Inclusive charged 1.3 < η < 1.81

/(2

πp⊥)d

2N

/d

p⊥

/d

η(G

eV2c2

)

1 10 1 10 2

0.6

0.8

1

1.2

1.4

p⊥ [GeV]

MC

/D

ata

Ropes and Shoving 26 Leif Lönnblad Lund University

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Fritiofˆ

Results

Outlook

bb

bb b b b b

bbbbbb

b

b

b

b

bb

b

b

b

b

b

b

b

b

b

b

b

b

b

b

Datab

FritiofP8

Absorptive

10−5

10−4

10−3

10−2

10−1

1

10 1

pPb @ 5.02 TeV, Inclusive charged −1.3 < η < −0.81

/(2

πp⊥)d

2N

/d

p⊥

/d

η(G

eV2c2

)

1 10 1 10 2

0.6

0.8

1

1.2

1.4

p⊥ [GeV]

MC

/D

ata

Ropes and Shoving 27 Leif Lönnblad Lund University