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A new cross term in the two-particle Hanbury-Brown-Twiss correlation function

A new cross term in the two-particle Hanbury-Brown-Twiss correlation function
A new cross term in the two-particle Hanbury-Brown-Twiss correlation function

a r X i v :h e p -p h /9408207v 4 15 J u n 1995

Phys.Rev.Lett.74,4400(1995)

A new cross term in the two-particle Hanbury-Brown-Twiss correlation function

Scott Chapman,Pierre Scotto and Ulrich Heinz

Institut f¨u r Theoretische Physik,Universit¨a t Regensburg,

D-93040Regensburg,Germany

Abstract

Using two speci?c models and a model-independent formalism,we show that in addition to the usual quadratic “side”,“out”and “longitudinal”terms,a previously neglected “out-longitudinal”cross term arises naturally in the exponent of the two-particle correlator.Since its e?ects can be easily observed,such a term should be included in any experimental ?ts to correlation data.We also suggest a method of organizing correlation data using rapidity rather than longitudinal momentum di?erences since in the former every relevant quantity is longitudinally boost invariant.25.70.Pq

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The experimentally measured Hanbury-Brown Twiss(HBT)correlation between two identical particles emitted in a high energy collision de?nes a six dimensional function of the momenta p1and p2[1].A popular way of presenting these is in terms“size parameters”derived from a gaussian?t to the data of the form[2–5]

C(q,K)=1±λexp ?q2s R2s(K)?q2o R2o(K)?q2l R2l(K) (1) where q=p1?p2,K=1

| d4x S(x,K)|2(3) where q0=E1?E2,K0=E K=

q·x?(βo q o+βl q l)t?q o x?q s y?q l z,(4)

whereβi=K i/E K.

As a simple example,we consider the following cylindrically symmetric gaussian emission function

S(x,K)=f(K)exp ?x2+y22L2?(t?t0)2

1?β2l,t′z′terms arise in the transformed emission function S′.These in turn lead to a nonvanishing cross term of the form

R′2ol=βoβlγ2l (δt)2+L2 ,(8) whereβl andγl are evaluated in the CM frame.We can see that the cross term cannot in general be removed simply by transforming to another coordinate system or reference frame,and therefore it is certainly not just a trivial kinematic e?ect.In fact,R2ol contains physical information about the emitting source which is just as important as that found from evaluating the di?erence R2o?R2s.

In order to get a broader feeling for what the cross term measures,we now introduce a general formalism valid for any cylindrically symmetric emission function which can be expressed in a roughly gaussian https://www.doczj.com/doc/9d2533947.html,ing(4),we expand exp(iq·x)in(3)for q·x?1to ?nd(see[11])

C(q,K)=1± 1?q2s y2 ? [q o(βo t?x)+q l(βl t?z)]2

+ q o(βo t?x)+q l(βl t?z) 2+O (q·x)4 ,(9) where the q s q o and q s q l terms vanish due to cylindrical symmetry[8]and we have introduced the notation

ξ ≡ ξ (K)= d4xξS(x,K)

For a static source,these homogeneity lengths are equal to its geometric size in the various directions which can then be directly extracted from the HBT correlator.For expanding sources the interpretation of the HBT size parameters is more involved[7–10,12,13],and the HBT parameters are usually smaller than the geometric extensions of the source.The cross term is seen to measure the temporal extent of the source as well as the x z,x t,and z t correlations of the emission function.Note that the LCMS radii can be found from(11) by settingβl=0and using S(x′,K′)(see Eq.(7)).The cross term vanishes in this frame if and only if the source S(x′,K′)is re?ection symmetric under z′→?z′(which is not the case for our source(5)).

One might argue that the model independent expressions of Eq.(11)should not be compared to experimental correlation radii since the former measure second derivatives of the correlation function around q=0(because we used q·x?1to derive them),while the latter are parameters of a gaussian?t to the whole correlation function[2–5].On the other hand,for any source which has a roughly gaussian pro?le in some complete set of spatial coordinates,the two di?erent methods of measuring radii will give roughly the same results.For these types of models,the simple expressions generated by Eq.(11)provide valuable insights as to how various parameters of the source distribution qualitatively a?ect measurable features of the correlation function.

We already discussed one gaussian model in Eq.(5),but here we would like to discuss another,possibly more realistic model which is similar to the ones presented in[13].In the center of mass frame of an expanding?reball,we de?ne the following emission function

S(x,K)=τ0m t ch(η?Y)

2π(δτ)2

exp ?K·u(x)2R2G?η22(δτ)2 ,(12)

where T is a constant freeze-out temperature,ρ=

√t2?z2,

η=1m2+K2⊥,and Y is the rapidity of a particle with momentum K.Note that in the limitδτ→0,(12)becomes the Boltzmann approximation for a hydrodynamic system with local?ow velocity u(x)which freezes out on a3-dimensional hypersurface of constant longitudinal proper timeτ0and temperature T[14,8].We will

consider a?ow which is non-relativistic transversally but which exhibits Bjorken expansion longitudinally

u(x)? 1+12(vρ/R G)2 shη ,(13) where v?1is the transverse?ow velocity of the?uid atρ=R G.In[8]we show that when the emission function(12)is integrated over spacetime,it produces a very reasonable one-particle distribution.

To facilitate calculating the correlation function,we can make the physically reasonable assumption thatδτ/τ0<~1

(δη)2?=

1

T

.(14)

Note that for pairs in which m t/T?1/(δη)2as were studied in[15],(δη)2?becomes simply T/m t.

Using the expressions(11)and keeping a few subleading corrections which are important when considering pions[8],we?nd

R2s=R2?;

R2o=R2?+K2⊥

m2t

β2lτ20(δη)2?+

K2⊥

(δη)2 (δτ)2(δη)2?

+K2⊥

(δη)2

+1

E2K τ20(δη)2?+

m2t

E2K

ντ20(δη)4?;

R2ol=?βoβlτ20(δη)2??βo βl?Y(δη)2 (δη)4?.(15) where

1

R2G 1+m t

andν=1+(R?/R G)2?1

cannot be completely boost invariant,so it will in general feature a nonvanishing cross term in the LCMS,since the LCMS does not coincide with the local rest frame[18].

We would now like to suggest a better way of organizing correlation data from sources undergoing boost-invariant longitudinal expansion[19].Returning to(3),let us make an alternative on-shell de?nition of the4-vector K:

K=(m t ch Y,K t,m t sh Y)(17)

where K t=1

2

(y1+y2),and y i is the rapidity of the i th particle.The resulting approximation is at least as good as the approximation we have been using up to now[8].This de?nition suggests that we express the correlation function in terms of q s,q o and the rapidity di?erence y=y1?y2:

C(y,q s,q o,Y,K⊥)?1±λexp[?q2s R2s?q2o R2o?y2α2?2q o y R o y].(18) The reader should take care not to confuse the rapidity di?erence y with the cartesian coordinate y.

The model independent expressions corresponding to(11)are now given by:

R2s= y2

R2o= [x?(K⊥/m t)τch(η?Y)]2 ? x?(K⊥/m t)τch(η?Y) 2

α2= [m tτsh(η?Y)]2 ? m tτsh(η?Y) 2

R o y= [m t x?K⊥τch(η?Y)]τsh(η?Y) ? m t x?K⊥τch(η?Y) τsh(η?Y) .(19) For the model(12),the radii take the much simpler form:

R2s=R2?

R2o=R2?+K2⊥

2

(δη)4?τ20

α2=m2t(δη)2? τ20 1+ν(δη)2? +(δτ)2 R o y=

K⊥Y

The astute reader will note that the above“side”and“out”radii are identical to the LCMS versions of(15),and that aside from a slight di?erence in the de?nition of Y,R l(LCMS)=α/m t and R2ol(LCMS)=R o y/m t.In fact,for systems undergoing Bjorken longitudinal expansion,LCMS correlation functions are nothing more than approximations to?xed frame correlation functions in rapidity coordinates[8].

Using the same source parameters as in Fig.1,the e?ect of the cross term can be seen in Fig.2where we plot the correlator as a function of y for q o=30MeV.The accuracy of the analytic approximation(dashed)is seen by comparing it with the exact numerical result (solid).

We have shown that an“out-longitudinal”(or“out-rapidity”)cross term arises naturally both in a general gaussian derivation of the correlation function and in two speci?c gaussian models.Although transformed,in general the cross term persists when one switches from calculating momentum di?erences in a?xed frame to calculating them in the LCMS.Con-sequently,there is no reason why such a term should be excluded a priori from gaussian?ts to experimental correlation data.Not only will the new parameter reveal more information about the source,its inclusion will undoubtedly increase the accuracy of the other?tted radii.

ACKNOWLEDGMENTS

We would like to thank U.Mayer,T.Cs¨o rg¨o,M.Gyulassy and Yu.Sinyukov for en-lightening discussions.Financially,this work was supported by BMBF and DFG.

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[16]This e?ect arises at a higher order in(δη)?than was studied in[13].

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[18]S.Chapman,J.R.Nix and U.Heinz,in preparation.

[19]V.Averchenkov et al.,Sov.J.Nucl.Phys.46,905(1987).

120

60

0-60

-120

0200400

0.51C - 1

q q L out (MeV)

.2

.4.6.81-.4

-.2

0.2

.4

C - 1y = y - y 1

2

(p i o n s )

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