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Page 1: Pion and kaon spectra from distributed mass quark matter

Pion and kaon spectra from distributed mass quark matter

Károly Ürmössy and Tamás S. Bíró

KFKI Res.Inst.Part.Nucl.Phys. Budapest

• Hadronization by coalescence

• Quasiparticle mass and QCD eos

• Mass gap estimates due to Markov inequality

• Pion p spectra directly and from rho decay

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Further collaborators

• József Zimányi

• Péter Lévai

• Péter Ván

• Gábor Purcsel

hep-ph / 0607079, 0606076, 0605274, 0612085

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Hadronization by

coalescence

Entropy vs lattice eos (PLB 650, 193, 2007)

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Lattice QCD eos: normalized pressure vs. temperature

Aoki, Fodor, Katz, SzaboJHEP 0601:089, 2006

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Boltzmann mixtures

Tci

i

ii

i

Tci

ii

ii

eTVT

cN

TS

Vp

eTV

/

/

),(

,

),(

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Boyle-Mariotte law

i i

TcTiTeff

effi

ic

iiii

i

eNSS

pVTNNT

/

1

Perfect fluid expands so that locally Seff is constant.

Can Neff and T be reduced by that?

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N / S = pV / TS effective number / entropy

4

1

S

N

m

T

S

N

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Cooling vs expansion (S = const.)

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Number reduction (coalescence)

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What do we conclude?

• Adiabatic cooling with number reduction to its 1 / 2 . . . 1 / 3

• Most of the reduction and cooling happens relatively short, the volume grows with a factor of 3 . . . 30

• N / S is constant for an ideal gas eos of type p ~ Tª

• Lower pressure can be achieved by higher mass ideal gas

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Is high-T quark matter

perturbative?

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Thermal probability of Q² values for massless partons

22 TQx

)(2)()( 22

13

641

2

2

xKxxKxPT

Q

< x >

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On the average yes, but

watch for IR unsafe

quantities!

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Idea: Continous mass distribution

• Quasiparticle picture has one definite mass, which is temperature dependent: M(T)

• We look for a distribution w(m), which may be temperature dependent

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Why distributed mass?

valence mass hadron mass ( half or third…)

c o a l e s c e n c e : c o n v o l u t i o n

Conditions: w ( m ) is not constant zero probability for zero mass

Zimányi, Lévai, Bíró, JPG 31:711,2005

w(m)w(m) w(had-m)

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Quasiparticle mass and

QCD eos

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High-T behavior of ideal gases

Pressure and energy density

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High-T behavior of a continous mass spectrum of ideal gases

„interaction measure”

Boltzmann: f = exp(- / T) (x) = x K1(x)

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High-T behavior of a single mass ideal gas

„interaction measure” for a single mass M:

Boltzmann: f = exp(- / T) (0) =

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High-T behavior of a particular mass spectrum of ideal gases

Example: 1/m² tailed mass distribution

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High-T behavior of a continous mass spectrum of ideal gases

High-T limit ( µ = 0 )

Boltzmann: c = /2, Bose factor (5), Fermi factor (5)

Zwanziger PRL, Miller hep-ph/0608234 claim: (e-3p) ~ T

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High-T behavior of lattice eos

2

20

T

mSU(3)

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High-T behavior of lattice eos

hep-ph/0608234 Fig.2 8 × 32 ³

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High-T behavior of lattice eos

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High-T behavior of lattice eos

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High-T behavior of lattice eos

+ Gribov-Zwanziger dispersion

+ 1/m² ideal

constant m ideal

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Mass dependence of the

relativistic pressure

xKxx 22

21)(

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Boltzmann vs. Bose and Fermi

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Fodor et.al.

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Lattice QCD eos + fit

TT

baTT

bac

ce

e

e

/

/

1

1

cTT76.1ln

54.01 Peshier et.al.

Biro et.al.

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Quasiparticle mass distributionby inverting the Boltzmann integral

Inverse of a Meijer trf.: inverse imaging problem!

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Mass gap estimates due

to Markov inequality

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Bounds on integrated mdf

• Markov, Tshebysheff, Tshernoff, generalized

• Applied to w(m): bounds from p

• Applied to w(m;µ,T): bounds from e+p– Boltzmann: mass gap at T=0– Bose: mass gap at T=0– Fermi: no mass gap at T=0

• Lattice data

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Particular inequalities

Chebyshev

Markov

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Particular inequalities

Minimize the log of this upper bound in λ,

get the best estimate!

Chernoff

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General Markov inequality

Extreme value probability estimate (upper bound)

with variable substitutionOriginal Markov: g=id, f=id

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General Markov inequality

Relies on the following property of the

function g(t):

i.e.: g() is a positive, montonic growing function.

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Markov inequality and mass gap

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Markov inequality and mass gap

Upper bound for the low-mass part of the mass distribution.

I M D F

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Markov inequality and mass gap

T and µ dependent w(m) requires mean field term,

but this is cancelled in (e+p) eos data!

g( ) = ( )

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Boltzmann scaling functions

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Markov inequality and mass gap

There is an upper bound on the integrated

probability P( M ) directly from (e+p) eos data!

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SU(3) LGT upper bounds

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2+1 QCD upper bounds

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Hadron spectra from quarks

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Tsallis fit to hadron spectra

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Fit parameters at large p

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Coalescence from Tsallis

distributed quark matter

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What if a gap shows in the mass-distributions?

• Both distributions reproduce pion or kaon spectra fairly well at RHIC energies but the one without a gap (magenta) can not be fitted to lattice-QCD data.

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Kaons

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Recombination of Tsallis spectra at high-pT

)1(1

)1(1

)1(1)1(1

)()(

31

21

1

11

QUARKBARYON

QUARKMESON

QUARKBARYONMESON

qq

n

qq

HADRONnEQUARK

n

qq

qq

TTT

T

Eq

nT

Eq

Eff

q

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Properties of quark matter from fitting quark-recombined hadron spectra

• T (quark) = 140 … 180 MeV

• q (quark) = 1.22

power = 4.5 (same as for e+e- spectra)

• v (quark) = 0 … 0.5

• Pion: near coalescence (q-1) value

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Summary

• Spectral coalescence of Tsallis distributions

• Distributed mass quasi quarks from QCD eos

• Restrictions from inequalities on the pressure

• Pion spectra feel the power (q-1)

• Antiproton spectra feel the transverse flow

• Kaon spectra are insensitive but to T

• What about hyperons / antihyperons?