2. Coulomb Effect in Bose–Einstein Correlations: Basic Concepts
In this section we briefly review some notions and well-known formulas pertaining to the work presented hereafter.
In a statistical physical (specifically, hydrodynamical) description of particle production in high-energy collisions, a basic ingredient is the (one-particle)
source function (Wigner function), denoted here by
. Its physical meaning is essentially that the probability of the production of a particle in the infinitesimal phase-space neighborhood of momentum
and point
is proportional to
. Thus it is natural that the one-particle momentum distribution function
can be expressed as
For a slight convenience we chose the normalization condition of
, so that
is now considered to be the probability distribution of the momentum of the produced particles
1.
According to a simple quantum mechanical treatment of Bose–Einstein correlation effects, the two-particle momentum distribution function
can be expressed [
7] with the source distribution function
as an integral over the two-particle final state wave function,
The two-particle wave function must be symmetric in the space variables (for bosons); this is the main reason for the appearance of quantum statistical (Bose–Einstein) correlations.
With some trivial simplifications, we thus get the correlation function
as
The momenta of the two particles were denoted by
and
, and we used the combinations of these, the
relative momentum and the
average momentum as
The notation was introduced for the so-called two-particle source function, obtained as indicated, by integrating over the average spatial position of the particle pair (with thus standing for the relative coordinate).
The (symmetrized) two-particle wave function may depend on all momentum and coordinate components; however, its modulus does not depend on the average momentum or the average coordinate (owing to translational invariance).
Assuming
(in the sense that the pair wave function changes much more rapidly in terms of their difference,
, as does the product of the source functions, we get
where we introduced
. In the special case of no final state interactions (i.e., when the
wave function is a symmetrized plane wave), we get the well known relation
thus
being the Fourier transform of the source function. In this formula the
superscript denotes the neglection of final state interactions.
Returning to the general, interacting case, if one assumes (according to the core-halo model, see Ref. [
8]) that a certain fraction of the particle production (denoted by
) happens in a narrow, few fm diameter region (“core”), and the rest from the decay of long-lived resonances (the contribution of which comes from a much wider region), then one can write the source as
with a normalization that respects the requirement that
determines the relative weight of the two components:
Here the indices c and h stand for core and halo, respectively. The “radius” parameter (the characteristic size of the halo part) will be assumed to be much higher than the experimentally resolvable distance, , where MeV, the minimal mometum difference that can be resolved experimentally.
One can also introduce the core–core, core–halo and halo–halo two-particle source functions as
where the following obvious definitions were used:
With yet another notation we can write the terms of
as
where thus the
term contains all the halo contributions, and
is just the core-core component. Perhaps it is useful to explicitly state the (evident) normalization conditions of all these two-particle functions:
Using these definitions, the correlation function can be expressed as
By taking the
limit in the second term
2, one arrives at the well-known Bowler–Sinyukov formula [
1,
2] as
Specifically, in the free case (with plane-wave wave functions) one arrives at the
formula (including the normalization term, which is unity in this paper). The experimental observation is that—although the free correlation function defined in Equation (
6) takes the value of 2 at 0 relative momentum:
—the measured value is
. The core-halo model thus naturally explains this fact in terms of the finite momentum resolution of any experiment. In the core-halo model the intercept of the real, measurable correlation function at
thus tells the fraction of pions coming from the core. In the Coulomb interacting (realistic) case, the interpretation of
as any intercept parameter is not so simple, however. The Bowler–Sinyukov method, Equation (
15) gives a means to take the core-halo model into account when treating the Coulomb effect.
To investigate the
parameter (which, as it is directly connected to the proportion of resonance decay particles, may have interesting physical consequences, see e.g., Refs. [
5,
9]) one needs a firm grasp on the effect of the final state interactions in Bose–Einstein correlation functions. For the most important such effect, the Coulomb effect, the
wave function (the two-body scattering solution of the Schrödinger equation with Coulomb repulsion) is well known in the center-of-mass system of the outgoing particles (the so-called PCMS system). Its expression is
Here
is the confluent hypergeometric function,
is the Gamma function, and
is the Sommerfeld parameter, with
being the Coulomb-constant,
the fine-stucture constant of the electromagnetic interaction, and
the pion mass (as from now on, we restrict this analysis to pion pairs).
For a given source function
, the ratio of the (measurable) correlation function
and the
function is usually called the
Coulomb correction3,
:
If one focuses on the simple property of the
function as being the Fourier transform of the source, then one might want to recover
from the measured
: for this, one uses the Coulomb correction factor. Indeed, many assumptions have been used to estimate the
factor: the simplest case is the so-called Gamow factor that treats the source as a point-like one when calculating
:
A method that suits the scope of heavy-ion collisions a little more would be to pre-calculate for a single specific given assumption for , then apply this correction (with the Bowler–Sinyukov method) and find the from a fit to the Fourier transform of the recovered . However, it is clear that this process should be done iteratively: after the first “round” of such fits, one would have to re-calculate the Coulomb correction. When this iteration converges, one in principle arrives at the proper .
4. Parametrization of the Coulomb Correction for Lévy Source
In this section, let us review a different approach, where based on the numerical table mentioned above, a parametrization can be formulated. In other words, one can get the Coulomb correction values from the table and parametrize its
R and
dependences. This approach was encouraged by the successful parametrization of the
case (the Cauchy case) done by the CMS collaboration (see Ref. [
10], Equation (
5) for details). This can be considered as our starting point for the more general, Lévy case (for arbitrary
). The expression used by CMS for the Cauchy distribution,
was
Generally, this is a correction of the Gamow correction. This simple formula has the advantage of having only 1 numerical constant parameter (the 1.26 in the denominator). However, it assumes , and we look for a generalization for arbitrary Lévy values.
A more general correction for the Gamow correction which is able to describe the Coulomb correction for a Lévy source has to fulfill the following requirements:
To fulfill these, we replace
R with
to introduce the
-dependence and take higher order terms in
into consideration. Our trial formula is then assumed to be
and the task is to find a suitable choice for the
,
,
,
functions that yield an acceptable approximation of the results of the numerical integration (contained in our lookup table). The assumed form seems to be sufficient since it simplifies to Equation (
21) if
and
, and could follow the observed weak
dependence of the Coulomb integral (see
Figure 1).
We fit the above (
22) formula to the numerically calculated results for
parameter values between 0.8 and 1.7 and
R parameter values between 3 fm and 12 fm, where the ranges were motivated by the results of Pioneering High Energy Nuclear Interaction eXperiment (PHENIX) [
5]. With this we obtained the
A,
B,
C,
D values as a function of the given
and
R parameters. As a next step, we also parametrized these dependencies empirically, and found that the following expressions give satisfactory agreement with the lookup table:
The parameters in these functions turn out best to have the values as follows:
This parametrization describes the
R and
dependence of the Coulomb integral in a range where the Coulomb correction deviates from 1 by more than a factor of ∼10
–10
. We find that this region is 0 GeV/
c 0.2 GeV/
c. As an example, for
fm and with different
values, we plotted the results of the parametrization on
Figure 1.
It turns out that the functional form specified above does yield a satisfactory fit at lower values of
q, below 0.1–0.2 GeV/
c. However, at higher values, the fit that is acceptable at low
q, inevitably starts to deviate from the desired values, i.e., cannot be used to extrapolate beyond the fitted
q range. The intermediate
q region above and around 0.1 GeV/
c can instead be described with an exponential-type function parametrized based on intermediate
q fits to the numerical table, with the following functional form:
where the
and
functions have a form as
The parameters were chosen based on a fit to numerically calculated Coulomb correction values, and the optimal case was found to be represented by these parameter values:
The exponential damping factor of Equation (
27) is “joined” to the proper parametrization valid for the interesting
q range by a Wood–Saxon-type of cut-off function:
where
GeV and
GeV. We investigated different cut-off functions, such as
, but found that the results are rather independent from this choice.
Putting all of the above together, our final parametrization, valid for
0.8–1.7 and
3–12 fm values, is thus
and the Coulomb corrected correlation function which could be fitted to data, can be written in the form of
We used this formula to reproduce PHENIX results Ref. [
5]
4; this can be seen on
Figure 2. The two fits are compatible with each other. For an example code calculating the formula of (
31), please see Ref. [
11]. Example curves resulting from the above (
32) formula (with the background being unity) are shown in
Figure 3. These clearly show how
R changes the scale, and
changes the shape of the correlation functions. Parameter
provides an overall normalization to the distance of these curves from unity, as described by Equation (
32).
We investigated the parametrization by means of its relative deviation from the lookup table. The results can be seen in
Figure 4. In the case when
with different
R values, we present a two-dimensional histogram of the relative differences in in
Figure 5. The maximum of these relative differences is around 0.05%.