Astron. Astrophys. 324, 483-484 (1997)
1. Introduction
It has been argued for a decade whether the magnification bias due
to gravitational lensing by the matter clumps in the universe affects
our quasar number counts , or equivalently the
determination of quasar luminosity function , and
therefore, accounts at least partially for the apparent evolution of
quasars (Turner 1980;
1981; Canizares 1981;
1982; Avni 1981;
Vietri
& Ostriker 1983; Schneider 1986;
1992; Kayer & Refsdal 1988;
Pei 1995). In particular, an overdensity of background quasars near
foreground galaxies, clusters and even quasars would occur as a result
of the magnification bias [see Wu (1996) for a recent summary]. All
these issues can be simplified as a convolution of the true quasar
number count or luminosity function
around redshift z with a magnification
probability function or
:
![[EQUATION]](img7.gif)
or
![[EQUATION]](img8.gif)
where S is the flux threshold of the quasar sample,
L, the absolute luminosity and, µ, the
magnification factor. It is evident that the magnification probability
distribution should satisfy the following constraints
![[EQUATION]](img9.gif)
which correspond to, respectively, the normalization and the flux
conservation. The question now reduces to how to find the true quasar
number count or luminosity function
using the observed quantities for a given
magnification probability distribution or
, namely, the inversion of Eq. (1) or
Eq. (2). To solve Eq. (1), Schneider (1992) utilized the
Volterra equation of the second kind with a kernel function
combined with other mathematical techniques and
a specific boundary value, whereas for Eq. (2) Pei (1995)
performed an expansion of the true luminosity function
into the Taylor series coupled with a symbolic
operator method to separate the variable µ from
. These sophisticated methods should be in
principle applicable to various matter distributions, allowing us to
derive the true quasar number count or luminosity function. However,
the actual application of these methods often turns to be complicated,
aside from the unknown details of the magnification probability
function. Motivated by the importance of Eq. (1) or Eq. (2)
in the study of the associations of angular positions of distant
quasars with foreground objects (galaxies, groups and clusters of
galaxies and quasars), we present an alternative but intuitive
approach to the inversion of Eq. (2). Similarly, this approach
can be equivalently employed for the inversion of Eq. (1).
Our method is based on the Mellin transformation (Titchmarsh 1948).
For a give function of , its Mellin
transformation is an integral of
![[EQUATION]](img12.gif)
so that the source function itself reads
![[EQUATION]](img13.gif)
where c should be properly chosen to ensure that the
singularities of the function are on the left
of the routine. The Mellin transformation of Eq. (2) is thus
![[EQUATION]](img15.gif)
![[EQUATION]](img16.gif)
in which we have adopted a physically reasonable boundary that the
magnification probability function for a
sufficiently large magnification µ. While the right-hand
side of the above equation is fortunately a product of two Mellin
transformations of functions and
, we have
![[EQUATION]](img19.gif)
where is the Mellin transformation of
and and
are the corresponding quantities of
and , respectively. From
Eqs. (6) and (8) the true quasar luminosity function can be
expressed as
![[EQUATION]](img23.gif)
As it has been shown, our procedure of inversion of the
magnification bias is more straightforward and convenient in
application than the previous methods.
To demonstrate how efficiently the present method works, we take
the exponential form of the observed quasar
luminosity function used by Pei (1995)
![[EQUATION]](img25.gif)
with the luminosity evolution
![[EQUATION]](img26.gif)
here are the parameters fitted by
observations. Applying the Mellin transformation of Eq. (5) to
Eq. (10) yields
![[EQUATION]](img28.gif)
where is the usual
-function with a variable of . If we adopt the
same notation as Pei (1995) by defining
![[EQUATION]](img31.gif)
then the Mellin transformation of reads
![[EQUATION]](img32.gif)
A combination of Eq. (12) and Eq. (14) gives rise to the
Mellin transformation of the true quasar luminosity function
, and the inverse Mellin transformation of
results in the true quasar luminosity
function
![[EQUATION]](img34.gif)
![[EQUATION]](img35.gif)
in which we have chosen . Finally, the ratio
of the true quasar luminosity function to the observed one is
simply
![[EQUATION]](img37.gif)
![[EQUATION]](img38.gif)
i.e., the result of Pei (1995) [Eq. (39)], where
, , and
.
Nevertheless, we point out that a quantitative analysis of
depends on the observed quasar luminosity
function and the magnification probability
function . Except for some specific forms of
[e.g. Eq. (10)] and ,
numerical computations should be often employed in finding the Mellin
transformations and , and
hence, the true quasar luminosity function . In
particular, it is relatively hard to get a simple form of
when the lens exhibits a complicated matter
structure (see, for example, Schneider 1992). A detailed investigation
for various objects as lenses is beyond the scope of this short note.
We emphasize that the present method may be useful in the study of the
associations of background quasars with foreground objects. Recall
that the association problems, if real, have not been well account for
to date in terms of gravitational lensing (Zhu et al. 1997). One of
the possibilities is to abandon the unaffected background hypothesis,
namely, the observed quasar number-magnitude relation or luminosity
function has probably been contaminated by gravitational lensing
according to Eq. (1) or Eq. (2). A further study based on
more realistic lensing models, incorporating with the cosmological
simulations of formation and evolution of large-scale structures,
would provide a helpful insight into the problem.
© European Southern Observatory (ESO) 1997
Online publication: May 26, 1998
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