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The Fifth Annual Conference
on Large Hadron Collider Physics
May 15-20, 2017, Shanghai, China
Collectivity in proton-proton,
proton-nucleus and nucleusnucleus collisions
Tetsufumi Hirano
Sophia Univ.
The Fifth Annual Conference
on Large Hadron Collider Physics
May 15-20, 2017, Shanghai, China
Highlights of theoretical
topics on collective flow at
LHC energy
Tetsufumi Hirano
Sophia Univ.
Introduction
β€’ Limited time as for review talk (15 min.!)
β€’ Discussion about new ideas beyond
conventional hydrodynamic analysis
β€’ More various aspects of flow phenomena
Three topics covered in this talk
1. Hydrodynamic fluctuations
2. Medium response to jet propagation
3. Dynamical initialization of QGP
1. Hydrodynamic fluctuations
Entropy
Fluctuation-dissipation relations
Thermal equilibrium state
dissipation
Conventional viscous
hydro οƒ  Dissipation
only
fluctuation
𝑆 = 𝑆0 + 𝛿𝑆 + 𝛿 2 𝑆 + β‹―
<0
State
Fluctuating hydro as a
next generation of
dynamical model
See also, Calzetta (1997), Kapusta, Muller, Stephanov (2012), Murase, TH
(2013), Moore, Kovtun, Romatschke (2014), Young, Gale, Jeon, Schenke (2015),
Yan, Grönqvist (2016), …
Event-by-event shear stress
tensor
Fluctuating hydro
Viscous hydro
πœ‡πœˆ
πœ‹
π‘₯ = 2πœ‚πœ•
πœ‡ π‘’πœˆ
+
πœ‡πœˆ
π›Ώπœ‹
π‘₯
π›Ώπœ‹ 𝑖𝑗 π›Ώπœ‹ 𝑖𝑗 ~4π‘‡πœ‚/𝑉: F-D relation
β‹― : Ensemble average
N.B.) Relaxation term in actual simulations
for causality
Movie: Courtesy of K. Murase
Third generation hydro code
Test simulation: QGP in a box
Viscous hydro Fluctuating hydro
Ideal hydro
(2G hydro)
(1G hydro)
(3G hydro)
No dissipation
Wave propagation
Towards
global
equilibrium
Fluctuation
around mean
value
π‘Ž
Factorization ratio π‘Ÿ2 πœ‚ , πœ‚
3.0 < πœ‚π‘ < 4.0
A.Sakai, talk at QM2017
𝑏
Full 3D fluctuating hydro
+ hadronic afterburner
available!
Effects of hydrodynamic
fluctuations
οƒ  Two point correlation
function in momentum
space
Ideal hydro β‰ˆ Visc. hydro
> Exp. data > Fluc. hydro
A new constraint on transport properties of QGP
2. Medium response to jet
propagation
QGP fluid + jet model
πœ‡πœˆ
πœ•πœ‡ 𝑇fluid
Evolution of
QGP fluid
= 𝐽𝜈
Energy
momentum
deposition
Y.Tachibana, talk at QM2017
See also, Stocker et al. (2005), Casalderrey-Sonala et al. (2005), Chaudhuri et al. (2006),
Betz et al. (2009), Qin et al. (2009), Neufeld et al. (2010), Tachibana, TH (2014), Andrade
et al. (2014), Schulc et al. (2014), He et al. (2015), Tachibana et al (2017), …
Transport eq. in jet shower
Energy-momentum dist. in jet shower 𝑓𝑗
Collisional energy loss
Momentum broadening
Deposited
to QGP fluids
Radiative
energy loss
N.B.Chang and G.-Y. Qin (2016)
Cutting edge source
terms in QGP fluid + jet
model
Y.Tachibana, talk at QM2017
Transport of lost energy
Y.Tachibana et al. (2017)
Large angle emission
(π‘Ÿ > 0.3) of soft
particles from jet axis
(CMS)
οƒ  Interplay btw. soft
and hard
οƒ  Medium response
required at large
angle
Jet structure at large π‘Ÿ: A new channel to
constrain transport properties of QGP?
3. Dynamical initialization of
QGP
Conventional hydro New approach
Parametrization or
modelling at 𝜏 = 𝜏0
𝑠 𝜏0 , π‘₯, 𝑦, πœ‚π‘  , π‘’πœ‡ (𝜏0 , π‘₯, 𝑦, πœ‚s )
πœ‡πœˆ
𝑇fluid 𝜏 = 𝜏00 , π‘₯, 𝑦, πœ‚s = 0
πœ•πœ‡ π‘‡πœ‡πœˆ
𝐽𝑖 𝜈 (𝜏, π‘₯, 𝑦, πœ‚s )
=
πœ‡πœˆ
𝑇fluid 𝜏 = 𝜏0 , π‘₯, 𝑦, πœ‚s
Cons: How to parametrize
random flow velocity?
𝑖
Modeling of π½πœ‡ locally
πœ‡πœˆ
𝑇fluid
𝜏 = 𝜏0 , π‘₯, 𝑑, πœ‚s
See also, Okai, Kawaguchi, Tachibana, TH (2017), Shen (2017), Lin (2017)
Dynamical initialization from
mini-jets
𝜏
From mini-jet to QGP
πœ‡
𝑑𝑝𝑖
πœ‡
𝐽𝑖 π‘₯ = βˆ’
𝛿
𝑑𝑑
3
𝒙 βˆ’ 𝒙𝑖 𝑝𝑖 , 𝑑
Time of 𝑒max differs from
point to point
M.Okai, et al. (2017)
Initial profile of energy
density and flow velocity
𝜏 = 0.6 fm
𝑦 (fm)
π‘₯ (fm)
Fluctuating profile + random transverse flow
οƒ  Consequence of momentum conservation
οƒ  Effects can be seen in observables?
M.Okai, et al. (2017)
Event-plane decorrelation
from random transverse flow
M.Okai, et al. (2017)
Low 𝑝T : Correlation with
initial eccentricity
Intermediate 𝑝T :
Decorrelation with event
plane due to initial
random transverse flow
οƒ  𝑣2 𝑝T saturates in
intermediate 𝑝T even w.o.
viscosity
Factorization ratio? Probe to investigate initial
stage? Small system?
Summary
Three topics
1. Hydrodynamic fluctuations
2. Medium response to jet propagation
3. Dynamical initialization of QGP
β€’ Would be important in near future in
understanding collective flow under
precise and comprehensive
measurements at LHC.
β€’ Serve as new tools to constrain transport
properties and to interpret intriguing
phenomena.
Event plane fluctuations and
decorrelations
Event plane angle Φ𝑛 πœ‚
Ξ¦ πœ‚ = const.or not?
Factorization breaking down
Figure taken from J. Jia, and P. Huo,
Phys. Rev. C 90, 034905 (2014)
𝑉𝑛Δ β‰  π‘£π‘›π‘Ž 𝑣𝑛𝑏
𝑑𝑁pair
∝1+2
π‘‘Ξ”πœ™
𝑉𝑛Δ cos π‘›Ξ”πœ™
οƒ  Event plane fluctuations/decorrelations
Factorization ratio
π‘Ÿπ‘› πœ‚π‘Ž , πœ‚π‘
𝑉𝑛Δ βˆ’πœ‚π‘Ž , πœ‚π‘
=
, 𝑉𝑛Δ = cos π‘›Ξ”πœ™
π‘Ž
𝑏
𝑉𝑛Δ πœ‚ , πœ‚
Purpose of study: Effects of
hydrodynamic fluctuations on
factorization ratios
17
CMS Collaboration, Phys. Rev. C 92, 034911 (2015)