ted ode TES orking tion of o, A ultim en and o dd ts of some dis- TIPLICITY ossible extension y distributions in w, Russia TED ST y distributions in high ell as of those w olynkin t momen ultiplicit ulan .G. P ultiplicit yp es of nonclassical states used ts in studying squeezed and cor- 1 t pap er is to attract the atten ysical Institute, t from the electromagnetic eld (gluons, Abstract elopmen o, and P 〉 PostScript processed by the SLAC/DESY Libraries on 28 Feb 1995. v, I.M. Dremin, O.V. Man'k
HEP-PH-9502394 ed. Their distribution functions are analyzed ac- odinger cat states) for one{mo de and m Leb edev Ph hr TICLE DISTRIBUTIONS teractions. The phenomenon of oscillations of particle V.I. Man'k AR ysicists to new dev hromo dynamics. The new t P tum optics as squeezed states, correlated states, ev t states (Sc Leninsky Prosp ekt, 53, 117924, Mosco tum c V.V. Do dono The primary aim of the presen teraction are review energy particle in distribution functions of the squeezed elds is describ ed andtributions confron for squeezed andof the correlated metho d eld to states. eldspions, di eren etc.) P is sp eculated. to the phenomenon of oscillations of cum related states of theon the electromagnetic latest eld topic asquan to w new ndingsin ab out quan m coheren particle ph in cording to the metho d used rst for m SQUEEZED AND CORRELA OF QUANTUM FIELDS AND MUL
1. INTRODUCTION
The nature of any source of radiation (of photons, gluons or other entities)
can b e studied by analyzing multiplicity distributions, energy sp ectra, var-
ious correlation prop erties, etc. A particular example is provided by the
coherent states of elds which give rise to Poisson distribution. However,
in most cases one has to deal with various distributions revealing di erent
dynamics. We try to describ e some of them app earing in electro dynamics
and in chromo dynamics but start rst with coherent states. As incomplete
as it is, this review, we hop e, will stimulate physicists working on di erent
topics to think over similarity of their problems and to lo ok for common
solutions.
The coherent states for photons have b een intro duced in [1]. They are
widely used in electro dynamics and quantum optics [2, 3]. The coherent
states of some nonstationary quantum systems were constructed in [4]-[7],
and this construction was based on nding some new time{dep endent in-
tegrals of motion. The integral of motion which is quadratic in p osition
and momentum was found for classical oscillator with time{dep endent fre-
quency a long time ago by Ermakov[8]. His result was rediscovered by Lewis
[9]. The two time{dep endentintegrals of motion which are linear forms in
p osition and momentum for the classical and quantum oscillator with time{
dep endent frequency,aswell as corresp onding coherent states were found
in [5]; for a charge moving in varying in time uniform magnetic eld this
was done in [4] (in the absense of the electric eld), [10,11] (nonstation-
ary magnetic eld with the \circular" gauge of the vector p otential plus
uniform nonstationary electric eld), and [12] (for the Landau gauge of the
time-dep endentvector p otential plus nonstationary elecrtic eld). For the
multimo de nonstationary oscillatory systems such new integrals of motion,
b oth of Ermakov's typ e (quadratic in p ositions and momenta) and linear in
p osition and momenta, generalizing the results of [5]were constructed in [7].
The approach of constructing the coherent states of the parametric systems
based on nding the time{dep endentintegrals of motion was reviewed in [13]
and [14]. Recently the discussed time{dep endentinvariants were obtained
using No ether's theorem in [15]-[17].
The coherent states [1] are considered (and called) as classical states of
the eld. This is related to their prop erty of equal noise in b oth quadrature
comp onents (dimensionless p osition and momentum) corresp onding to the
noise in the vacuum state of the electromagnetic eld, and to the minimiza-
tion of the Heisenb erg uncertainty relation [18]. These two prop erties yield
the Poisson particle distribution function in the eld coherent state, which
is the characteristic feature of the classical state.
On the other hand, the so{called squeezed states of the photons were
considered in quantum optics for the one{mo de eld [19]-[23]. The main
prop erty of these states is that the quantum noise in one of the eld quadra-
ture comp onents is less than for the vacuum state. The imp ortant feature
of the nonclassical states is the p ossibility to get statistical dep endence of
the eld quadrature comp onents if their correlation co ecient is not equal
to zero. For the classical coherent state and for the particle numb er state
there is no such correlation. The correlated states p ossessing the quadra-
ture statistical dep endence were intro duced in [24]by usage of the pro cedure
of minimization of the Schrodinger{Rob ertson uncertainty relation [25, 26].
The nonclassical states of another typ e, namely,even and o dd coherent
states, were intro duced in [27] and called as the Schrodinger cat states [28].
The even and o dd coherent states are very simple even and o dd sup erp osi-
tions of the usual coherent states. The particle distribution in these states
di ers essentially from the Poissonian statistics of the classical states. Its
most striking feature is the oscillations of the particle distribution functions
whichischaracteristic prop erty of nonclassical light [29]-[31]. They are es-
p ecially strong for even and o dd coherent states [27,32], moreover, they are
very sensitive to the correlation of the quadrature comp onents [31]. These
phenomena are typical not only for the one{mo de photons pro duction, but
also for the multimo de case [33]-[35]. The multimo de generalizations of the
Schrodinger cat states were studied in [32, 35].
Let us turn now to high energy particle interactions. Several years ago
the exp erimentalists of UA5 Collab oration in CERN noticed [36] a shoul-
der in the multiplicity distribution of particles pro duced in pp collisions at
energies ranging from 200 to 900 GeV in the center of mass system. It
lo oked like a small wiggle over a smo oth curve and was immediately as-
crib ed by theorists to pro cesses with larger number of Pomerons exchanged
in the traditional schemes. More recently, several collab orations studying
+
e e collisions at 91 GeV in CERN rep orted (see, e.g., [37, 38]) that they
failed to t the multiplicity distributions of pro duced particles by smo oth
curves (the Poisson and Negative Binomial distributions were among them).
Moreover, subtracting such smo oth curves from the exp erimental ones they
found steady oscillatory b ehaviour of the di erence. It was ascrib ed to the
pro cesses with di erentnumb er of jets.
In such circumstances one is tempted to sp eculate ab out the alterna-
tive explanation when considering p ossible similarity of these ndings to
typical features of squeezed and correlated states. Indeed, we know that
the usual coherent states app eared imp ortant for the theory of particle pro-
duction [39]. Moreover, the squeezed states, b eing intro duced initially for
solving the problems of quantum optics, now b egin to p enetrate to di erent
other branches of physics, from solid state physics [40]-[42] to cosmology and
gravitation [43]-[46]. Thus why they could not arise in particle physics? In
slightly di erent context the ideas ab out squeezed states in particle physics
were promoted in [47]-[49]. No attempts to use analogy with other typ es of
nonclassical states likeSchrodinger cat states or correlated states are known.
In the ab ove approach to exp erimental data, however, the form of oscil-
lations dep ends on the background subtracted. The new sensitive metho d
was prop osed in [50,51] (for the review see [52]). It app eared as a bypro duct
of the solution of the equations for generating functions of multiplicity dis-
tributions in quantum chromo dynamics (QCD). It app eals to the moments
of the multiplicity distribution. According to QCD, the so{called cumulant
moments (or just cumulants), describ ed in more details b elow, should reveal
the oscillations as functions of their ranks, while they are identically equal
to zero for the Poisson distribution and are steadily decreasing functions for
Negative Binomial distribution so widely used in phenomenological analysis.
Exp erimental data show the oscillatory b ehaviour of cumulants (see [53])
of multiplicity distributions in high energy inelastic pro cesses initiated by
various particles and nuclei, even though some care should b e taken due
to the high multiplicity cut-o of the data. When applied to the squeezed
states, the metho d demonstrates [54] the oscillations of cumulants in slightly
squeezed states and, therefore, can b e useful for their detection.
As wehave already p ointed out ab ove, the aim of this article is to review
the prop erties of the nonclassical states (squeezed, correlated, even and o dd
coherent ones) b oth for one- and multimo de cases in the context of p ossible
applications of them to high energy physics, as well as to acquaint with
new metho ds of analysis of multiplici ty distributions. However, we will not
sp eculate here ab out any application in more details, leaving the topic for
future publications.
The article is organized as follows. In sections 2 and 3 we describ e the
quantities used in analysis of multiplicity distributions for one{dimensional
and multidimensional cases, resp ectively. In sections 4 and 5 weintro duce
the quadrature comp onents of b oson elds, describ e their prop erties and
discuss their connection with exp erimentally measured quantities for elec-
tromagnetic eld. In section 6 the formalism of Wigner function and Weyl
transformation is brie y discussed. In section 7 we give the explicit formulas
describing the p olymo de mixed b oson eld (photons, phonons, pions, glu-
ons, and etc.). Section 8 is dedicated to studying the one{mo de squeezed
and correlated light. We discuss the b eha the photon distribution function
and of its moments and demonstrate their strongly oscillating character for
the slightly squeezed states of a eld. Even and o dd coherent states of one{
mo de b oson eld are considered in section 9. Concluding remarks are given
in section 10.
2. DISTRIBUTION FUNCTION AND ITS MOMENTS.
ONE{DIMENSIONAL CASE
In this part of the review we will brie y summarize de nitions and nota-
tions for the values that are used to characterize various pro cesses of inelastic
scattering according to numb er of particles pro duced in these pro cesses. We
will also p oint out the relations connecting these values to each other and
give the examples related to some distributions typical in the probability
theory.
Any pro cess of inelastic scattering (that is the scattering with new par-
ticles pro duced) can b e characterized by the function P , the multiplicity
n
distribution function. The value of P denotes the probability to observe n
n
particles pro duced in the collision. It is clear that P must b e normalized to
n
unity:
1
X
P =1: (2.1)
n
n=0
Sometimes the multiplicity distribution of particles pro duced can b e conve-
niently describ ed by its moments. It means that the series of numb ers P is
n
replaced by another series of numb ers according to a certain rule. All these
moments can b e obtained by the di erentiation of the so{called generating
function G(z ) de ned by the formula:
1
X
n
G(z )= P z : (2.2)
n
n=0
Thus, instead of the discrete set of numb ers P we can study the analytical
n
function G(z ).
We will use the factorial moments and cumulants de ned by the following
relations:
P
1
q
P (n 1) (n q +1) 1 d G(z )
n
n=0
P
F = = ; (2.3)
q q
1
q q
( P n) hni dz
n
n=0
z =1
q
1 d ln G(z )
K = ; (2.4)
q
q q
hni dz
z =1
where
1
X
hni = P n (2.5)
n
n=0
is the average multiplicity.
Recipro cal formulas expressing the generating function in terms of cu-
mulants and factorial moments can also b e obtained:
1
q
X
z
q
hni F G(z )=
q
q !
q=0
(F = F =1); (2.6)
0 1
1
q
X
z
q
ln G(z )= hni K
q
q !
q=1
(K =1): (2.7)
1
The probability distribution function itself is related to the generating func-
tion in the following way:
n
1 d G(z )
P = : (2.8)
n
n
n! dz
z =0
Factorial moments and cumulants are connected to each other by the follow-
ing recursion relation:
q 1
X
m
F = C K F ; (2.9)
q q m m
q 1
m=0
where
(q 1)!
m
C =
q 1
m!(q m 1)!
are binomial co ecients. This formula can b e easily obtained if we remind
that F and K are de ned as the q {th order derivatives of the generating
q q
function and its logarithm, resp ectively, and use the well{known formula for
di erentiation of the pro duct of two functions:
q 1
X
m
C K F
q m m
q 1
m=0
q 1
q m m
X
1 d d 1
m
ln G(z ) G(z ) = C
q 1
q m q m m m
hni dz hni dz
z =1
m=0
q 1
m q 1 m
X
1 d=dz G(z ) d d
m
G(z ) = C
q 1
q q 1 m m
hni dz G(z ) dz
z =1
m=0
q 1
1 d d=dz G(z )
= G(z )
q q 1
hni dz G(z )
z =1
q 1
1 d
= d=dz G(z ) = F : (2.10)
q
q q 1
hni dz
z =1
Relation (2.9) gives the opp ortunity to nd the factorial moments if cumu-
lants are known, and vice versa.
It must b e p ointed out that cumulants are very sensitive to small varia-
tions of the distribution function and hence can b e used to distinguish the
distributions which otherwise lo ok quite similar.
Usually, cumulants and factorial moments for the distributions o ccuring
in the particle physics are very fast growing with increase of their rank.
Therefore sometimes it is more convenient to use their ratio:
K
q
; (2.11) H =
q
F
q
which b ehaves more quietly with increase of q remaining a sensitive measure
of the tiny details of the distributions.
In what follows we imply that the rank of the distribution function mo-
ment is non{negativeinteger even though formulas (2.3) and (2.4) can b e
generalized to the non{integer ranks.
Let us demonstrate twotypical examples of the distribution.
1: P oisson distr ibution:
The Poisson distribution has the form:
n
hni
P = exp ( hni) : (2.12)
n
n!
Generating function (2.2) can b e easily calculated:
G(z ) = exp (hniz ) : (2.13)
According to (2.3) and (2.4) wehave for the moments of this distribution:
F =1; K =H = : (2.14)
q q q q1
2: N eg ativ e binomial distr ibution:
This distribution is rather successfully used for ts of main features of
exp erimental data in particle physics. It has the form:
n (n+k)
hni (n + k ) hni
1+ P = ; (2.15)
n