Collectivity in small systems ! Collectivity in small systems ! Collectivity in small systems ! Collectivity in small systems ! (depends on what you mean.

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Collectivity in small systems ! Collectivity in small systems ! Collectivity in small systems ! Collectivity in small systems ! (depends on what you mean by 'collectivity') Collectivity in small systems ? Collectivity in small systems ? Taxco Mexico WS J. Schukraft Is there collectivity in small dense systems (central pA) ? What about small dilute systems (MinBias pp) ?? Why does it matter ??? pPb 5.02 TeV December 2012

pPb 5 TeV Collectivity weak definition:  SIMILAR effect for ALL particles (of some kind, say p T /PID) in (almost) ALL events  Collectivity is experimentally proven in AA & pA 2016 Taxco Mexico WS J. Schukraft 2 PbPb 10-20% 'Ridge' all h ± in all events 'Jet' some h ± in some events AA definitely coll. pA practically certain Teaser: are jets in e+e- 'weakly collective' ? v 2 {2}< v 2 {4}≈v 2 {6}≈ … ≈v 2 {∞} EbE P(v 2 )

Collectivity in large systems: AA strong definition: {'thermo' + 'hydro'} - dynamics  emerging-f(t)- in strongly interacting matter with density/pressure gradients Collectivity is consistent with ≈ all data in AA to (very) good accuracy  thermo-dynamics:  particle ratios (Statistical Model) to 10-30%  hydro-dynamics:  LO: radial (v 0 ) & elliptic (v 2 ) flow for > 95% of all particles (p t < few GeV)  NLO: higher harmonics v n, PID (m dependence) of v n ('mode mixing' of v 0 & v 2 )  NNLO: non-linear mode mixing (v n ≠  n ), factorization violation r(p T ), EbE P(v n ), …  thermo + hydro:  HBT f(T,  ): (R(m T ), R(N ch 1/3 ), R out /R side ≈ 1) 2016 Taxco Mexico WS J. Schukraft 3 'Standard Model' of heavy ion physics

Ultra-central v n Tensions (presumably work in progress, not cracks) p/  ratio, ultra-central v n, HBT  f, … 2016 Taxco Mexico WS J. Schukraft 4 Azimuthal HBT: freezeout SM fits to particle ratios few, if any(*), doubt that we have 'strong collectivity' in (central) AA 'the ideal liquid sQGP' * at least until early ‘escape’ hypothesis)

Collectivity consistent with ≈ all data in central pA to reasonable accuracy  thermo-dynamics: particle ratios (SM,  s =1!) to ≈ 20-30%  hydro-dynamics: pA, dA, 3 He-A  LO: radial & elliptic flow  NLO: higher harmonics v n, PID v n  NNLO?: factorization violation r(p T )  thermo + hydro:  HBT (R(m T ), R(N ch 1/3 ), R out /R side ≈ 1) Collectivity in small dense systems: 'central' pA 2016 Taxco Mexico WS J. Schukraft HBT: R vs K T R side R out R long LO: BW fit: T kin vs  particle ratios pp, pA, AA NLO: PID v 2 The experimental support for 'strong collectivity' is not really worse than AA only somewhat less tested.. 5 NNLO: Factorization test

Collectivity in small dense systems: 'central' pp Collectivity consistent with data in high N ch pp ??  s < 1!  thermo-dynamics: MB particle ratios to ≈20-40%  s < 1!  hydro-dynamics:  LO: radial & elliptic flow ?  NLO: not yet tested  NNLO: not yet tested  thermo + hydro:  HBT (R(m T ), R(N ch 1/3 ), R out /R side ≤ 1) 2016 Taxco Mexico WS J. Schukraft particle ratios pp, pA, AA The Ridge BW fit: T kin vs  HBT: R vs K T R side R out R long R out /R side particle ratios in MB pp 6 The experimental support for 'strong collectivity' is much less tested.. but were it has been tested, at high N ch, it looks not so bad !

A priori: pp ≈ same dN/dy LO pp = pA: N ch, transverse size & shape => Initial State  (x,y) similar:  experimentally verified: final state R(pp) ≈ R(pA) < same N ch (≈ N part )  IF there is collectivity in central pA, THEN there is no reason why not in 'central' pp NLO pp ≠ pA: some differences expected  MPI vs N coll, transverse  -profile, d  /dN => bias, jet fraction, Taxco Mexico WS J. Schukraft 7 vs N ch BW fit: T kin vs  HBT: R vs N ch pp closer to pA than pA to AA as expected…

Facts & 'Fiction' Experimental facts:  weak collectivity proven in AA, essentially proven in pA, not known in pp  'all particles in all events' must be part of any physics model  strong coll. (thermo & hydro) compatible with vast majority of data in AA & pA  some areas need work, some tests missing in pA (NNLO)  limited data in pp at high N ch, but compatible with SC !  final state (HBT, p T -spectra (v 0 ), ridge (v 2 ), part. ratios ): pp ≈ same N ch Hypothesis: There IS* collectivity in small systems at high N ch !  1) pA ≈ AA: mostly based on measurements N ch )  many similar phenomena similar underlying physics  2) pp ≈ pA: based on a priori expectations, increasingly on measurements  similar IS & FS in pp and same dN/dy => similar collective physics  mind the jet-bias in pp !  3) ≈ ≠ =: differences are interesting and important to study !  finite size/finite time/non-equilibrium effects teach us about dynamics 2016 Taxco Mexico WS J. Schukraft 8 * of the same type as in large systems, i.e. AA

What about ‘hard Probes’ ? Conventional Wisdom: Not (non-trivially) modified in pA, pp  beware of confounding CNM effects & limited accuracy !!  how to disentangle IS/CNM from sQGP in pp/pA if there is no comparison data ?  only quantitative comparison between expectation(theory) and data will tell !!  how much jet-quenching/quarkonia melting would actually be expected ?? 2015 QM Koyasan 9 Syst. error in MB ~ ±10-20% J/  ’ R pA vs p T

pA ≈ AA: Objections sQGP: no ideal liquid w/o jet-quenching (energy loss) (conformal scaling ?)  hydro is dimensionless (K n = /R << 1),  R = 1-2 fm may be big:  0 ( ≈ 0; 1/ ≈ 0.3 fm  energy loss has dimension:  E ~ (  x-a) n,  x = path length, a = formation length   E pA > 1/5 x  E AA (n = 1, a = 0), and possibly much more  is measured R pPb (in)compatible with quantitative expectations for  E ? hydro not applicable (large K n, large gradient/viscosity corrections,..)  Why then does it still give a ‘correct’ answer ??  we may need different TH tools, not necessarily different physics ?  'hydro' : physics driven by gradients in SI matter  smoothly extends into 'partial hydro/decoupling/non-equilibrium' regime ? difference is size is significant, but not huge !  made up (largely ?) by higher density ? 2016 Taxco Mexico WS J. Schukraft 10 Thermalisation study

HBT radii pp, pA, AA 2016 Taxco Mexico WS J. Schukraft 11 R CuCu RHIC ≈ 2R pPB LHC ≈ pp

pA ≈ AA: Objections similar phenomena ≠> same physics  counter examples:  elliptic flow: v 2 ( 10 GeV) quenching (  ) linked by geometry and SI matter, but driven by distinct physics  radial flow: AA hydro, pp: Color Reconnection ? 'hydrodynamics' similar (emission from boosted system T,  ), dynamics different  likelihood argument: better if many independent phenomena are involved  'razor': What looks more natural & simple: different or similar physics ?  we should not jump to conclusions, either way, but … 2016 Taxco Mexico WS J. Schukraft 12

If it looks like a rose + smells, + feels, + pricks, + tastes, +.. like a rose Is it a Rose ? 2016 Taxco Mexico WS J. Schukraft 13 Summary Part I: similar phenomenology (measured or expected) in pp, pA and AA likely based on similar physics: inhomogeneous, dense, strongly interacting matter SM: drop of ideal liquid sQGP: thermo + hydro dynamics B-SM: cloud of grey/black mist (sMOG): non-eq. kinetics

II) Why is it interesting ? 'Looking under the hood': what makes the sQGP tick ?  stat. mechanics (thermo & hydro) hide very well the details: d.o.f & dynamics  strength & limitation: same results for different underlying 'stuff' (theories/models)  thermal system knows nothing about how and why it arrived in equilibrium  go towards and beyond the limits of thermo & hydro  study deviations due to finite size/finite time (=> small systems) 'Looking for the transition': how does collectivity emerge f(r, t) ?  change size & lifetime & density (pp -> pA -> AA) 'Looking for the beginning': universal aspects of soft QCQ ?  looking for connection & smooth evolution from MB pp(e + e - ) to central AA, with pA the bridge in between 2016 Taxco Mexico WS J. Schukraft 14

Strange Developments in pA 'strangeness enhancement' all particles reach thermal values, EXCEPT  ? phi follows neither  s nor r c model ? 2016 Taxco Mexico WS J. Schukraft 15

Other ‘Developments’ Final state chemistry ?  K* : decay + scattering  or sequential freeze-out (lower T chem )  p/  : B annihilation (= seq. freezeout) light nuclei d,( 3 He)  pp x 2, reaches ≈ SM value  canonical suppression ?  Coalesence ? (but B 2 (N ch ) ≠ c ?) 2016 Taxco Mexico WS J. Schukraft 16 do we see dynamics at work while reaching (leaving) thermodynamics ??

Hydro in PbPb ideal (BW) hydro ≈ ok 3-4 GeV (p, ,..) in both p T and v 2  deviations above: 'smooth decoupling ?' 2016 Taxco Mexico WS J. Schukraft 17

Taxco Mexico WS J. Schukraft 'Decoupling' at RHIC at somewhat lower p T

Radial Flow in pPb 2016 Taxco Mexico WS J. Schukraft 19 earlier 'decoupling' T kin ≈ T chem ,T kin ( ,K,p) ≈  T kin  ) (d, 3He) in PbPb compatible with flow d in pPb compatible with coalescence no (or little) hadronic rescattering ? clear & direct view on the sQGP ??

Natures challenge to HI physics Natures challenge to HI physics QM Koyasan > 2013: central pA ~ peripheral AA (largely) accepted & assimilated : small droplet of sQGP (-like) stuff conformal invariance, hydro & thermo ‘at its limits’ > QM 2015: no end in sight ? Thermo & hydro in MinBias pp ?? ?=?= 7 TeV pp Min Bias

Continuous & smooth down to dN/dy ~ 0 ! 2015 QM Koyasan 21 HBT k T dependence Charge Balance Functions ‘Hadrochemistry’ MinBias N rec ~ 15 ‘Elliptic flow’ ‘Radial flow’

Need to know what to look for Taxco Mexico WS J. Schukraft 22

‘Continuum Physics’ Continuity/similarity between large/dense & small/dilute systems  ‘so-so’: different physics (e.g. IS FS) happens to have same phenomenology  different physics for different observables (CR -> radial flow, CGC -> elliptic fl.) ?  ‘RiaR’: same underlying strong interaction dynamics for all systems/observables  most economic, should be tried unless/until shown to be insufficient 2015 QM Koyasan 23 pp:pA:AA dN/dy= 1:10:100 dN/dy 1/3 = 1:2:5 D. Teany JYO: S-Canonical: physics the same, volume different What exactly IS the (microscopic) physics ? Phase Space or Dynamics ?? ( ) Hadronic or Partonic ?? (  ) What connection, if any, between thermo & hydro ?

The unreasonable success of AMPT 2016 Taxco Mexico WS J. Schukraft 24 nucl-th/ AMPT in 2003 had correct higher harmonics (v 3, v 4,..) i.e. initial state fluctuations and nonlinear hydro, and nobody noticed !!

Almost as good as hydro 2016 Taxco Mexico WS J. Schukraft LO: v 2 NNLO: mode mixing in EP correlations

No problem with small systems 2016 Taxco Mexico WS J. Schukraft 26

Double humped near side peak shape 2016 Taxco Mexico WS J. Schukraft 27

What makes AMPT tick ? Dynamics is definitely oversimplified and probably wrong ‘Micky Mouse billiard balls’ with tons of parameters  however, the hydrodynamics seems correct !  what counts is ‘lots of interacting stuff’ (string melting + few mb  ) Common wisdom: AMPT = (a) kinetic transport underlying hydro  and as such smoothly extrapolates to dilute & small systems with large K Monkey wrench: ‘ Anisotropic parton escape is the dominant source’ ( ) 2016 Taxco Mexico WS J. Schukraft 28 Information is in the ‘non-interacting’ rays ! = 5 (1) in AuAu(dAu) d-Au Au-Au escaping interacting

Pressure or Density tomography ? sQGP Hydro model:  IS density homogeneities => pressure gradients => momentum anisotropy => spatial anisotropy dN/d   requires strong FSI, dense & large systems (small #K), low visc. ‘ideal liquid’ sMOG X-ray model: sMOG=Mist Of Gray stuff  IS density homogeneities => direct image by scattering  requires some FSI  no problem with small or dilute systems (dilute = small contrast) Open questions for X-ray model:  is a) and b) actually really different ?  radial flow ? mass dependence of v 2 ? HBT Space-time correlation ?  ‘free streaming + late Cooper-Frye’ = radial flow + HBT ( ) 2016 Taxco Mexico WS J. Schukraft 29 sQGP or sMOG: Crucial question in our field, which (for me) is not sufficiently seriously discussed..

Questions from small & dilute systems Acknowledge and ‘explain’ the size/density systematics  Factorize and separate into different pp and AA physics (eg CR, hydro) ?  naturally & economically, without epicycles..  where to put pA ?  Incorporate into the current thermo & hydro sQGP ‘ideal liquid’ picture ?  extend the ‘dense matter’ framework down to zero density ?  extend the ‘dilute transport’ framework up to central AA ? (AMPT like ?)  ‘probabilistic’ hydro (#/coll/particle << 1) ? Ok for thermo (< 1 Omega/evt even in 4  at SPS)  Require paradigm shift ?  different but unified view(model/interpretation,..) of soft multi-particle QCD 2015 QM Koyasan 30

31 MANY similar/identical observations similar N ch ), no inconsistency (?),..  1) particle ratios (  s -> 1)  2) p T -spectra (radial flow),  3) anisotropic flow: v n ~  n, v n (p, d, 3 He), v n (b), v n (p T ), v 2 (LYZ), v n (PID)  4) HBT r(N ch, m T ).. make the hypothesis increasingly more likely (but not proven, yet !)  a most 'natural' assumption, to be proven wrong rather than right  subtle is the lord, but malicious he is not What is is the 'underlying dynamical physics' ?  sQGP: thermo + hydro dynamics ('at the edge') ?  sMOG: strongly interacting FS matter with density gradients ( )  CGC+CR+.: weakly int. dense IS matter + some conspiracies (also in AA !!)  ??? Why should we care ?  leave the comfort zone of infinite size equilibrium to study dynamics  from small & dilute -> large & dense: emergence & limits of 'collectivity'  looking 'under the hood' is mandatory, whatever we may find ! 2016 Taxco Mexico WS J. Schukraft Summary Hypothesis: The physics underlying 'collectivity' signals is the same in AA, pA, and pp: It is a generic property of all strongly interacting many-body systems.

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pp-pA-AA: Similarities & Differences Similar Particle Production  Striking & very non-trivial similarities between pp(e+e-) and AA  Striking & very non-trivial difference ('strangeness enhancement): Different Explanations & no connection (in general):  Born (pp) Evolving (AA) into equilibrium   s (GC) or r c (SC) are fudge factors, i.e. not predicted/calculable as f(√(s),dn/dy,..)  Core-Corona: e + e - and pp ?? 2016 Taxco Mexico WS J. Schukraft 33 e + e - LEP PbPb SPS Particle Production: Data versus Thermal Model

No quantitative interpretation which smoothly describes small & large  despite evident relevance for understanding HOW we reach thermal ratios.. Known, but often ignored 2016 Taxco Mexico WS J. Schukraft 34 Star STAR Phenix pp, dA, AA RHIC pp 200 GeV Particle production:  s vs dN ch /dy Particle production: Data /Thermal Model

Momentum Spectra Known, but not really understood 2016 Taxco Mexico WS J. Schukraft 35 Radial Flow fit (BW): T & vs dN ch /dy pp, dA, AA RHIC Star Radial Flow fit (BW): Data/Fit (  K,p) pp 200 GeV

BW + Resonances (DRAGON ) 2016 Taxco Mexico WS J. Schukraft 36 K0K0 p  Qual. similar, quant. diff.  /K to GeV p to > 4.5 GeV  require higher T, lower  (like at RHIC)

Real Hydro: IP-Glasma + Music ( ) Data/Model (almost too perfect !)  note that low p T pion excess !! 2016 Taxco Mexico WS J. Schukraft 37

Real Hydro Comparison VISHNU(Hydro + URQMD) , 2016 Taxco Mexico WS J. Schukraft 38  AfterBurner important: incr. radial flow in hadron phase => explain differential freeze-out T kin ? => meson-baryon crossing in v 2 ? Would be interesting to see where data & (hydro + AB) deviate: - Does it coincide in p T & v n - Higher decoupling p T for large mass ? Hydro + AB does very well (T, , v n )

What happens after Hydro ? mass matters, up to a point (again, p T ≈ v 2 )..  presumably, 'falling out of hydro' is a smooth process (over large p T range)  do we need new physics (eg coalescence) at intermediate p T (4-10 GeV) ?  or a smooth transition between hydro and jets ? 2016 Taxco Mexico WS J. Schukraft 39

Will the  tell ? 2016 Taxco Mexico WS J. Schukraft 40 NCQ scaling in 40-50% or it's breaking in 10-20% could be a (m,  effect in the HG ! If only we could switch off the HG..  NCQ scaling ?  p HG push ? HG push on p ?  p HG push ?