Abstract
The luminosity function for quasars (QSOs) is usually fitted by a Schechter function. The dependence of the number of quasars on the redshift, both in the low and high luminosity regions, requires the inclusion of a lower and upper boundary in the Schechter function. The normalization of the truncated Schechter function is forced to be the same as that for the Schechter function, and an analytical form for the average value is derived. Three astrophysical applications for QSOs are provided: deduction of the parameters at low redshifts, behavior of the average absolute magnitude at high redshifts, and the location (in redshift) of the photometric maximum as a function of the selected apparent magnitude. The truncated Schechter function with the double power law and an improved Schechter function are compared as luminosity functions for QSOs. The chosen cosmological framework is that of the flat cosmology, for which we provided the luminosity distance, the inverse relation for the luminosity distance, and the distance modulus.
PACA:
98.54.-h; 98.80.-k
1. Introduction
The Schechter function was first introduced in order to model the luminosity function (LF) for galaxies (see [1]), and later was used to model the LF for quasars (QSOs) (see [2,3]). Over the years, other LFs for galaxies have been suggested, such as a two-component Schechter-like LF (see [4]), the hybrid Schechter+power-law LF to fit the faint end of the K-band (see [5]), and the double Schechter LF, see Blanton et al. [6]. In order to improve the flexibility at the bright end, a new parameter was introduced in the Schechter LF, see [7]. The above discussion suggests the introduction of finite boundaries for the Schechter LF rather than the usual zero and infinity. As a practical example, the most luminous QSOs have absolute magnitude or the luminosity is not ∞ and the less luminous QSOs have have absolute magnitude or the luminosity is not zero (see Figure 19 in [8]). A physical source of truncation at the low luminosity boundary (high absolute magnitude) is the fact that with increasing redshift the less luminous QSOs progressively disappear. In other words, the upper boundary in absolute magnitude for QSOs is a function of the redshift.
The suggestion to introduce two boundaries in a probability density function (PDF) is not new and, as an example, Ref. [9] considered a doubly-truncated gamma PDF restricted by both a lower (l) and upper (u) truncation. A way to deduce a new truncated LF for galaxies or QSOs is to start from a truncated PDF and then derive the magnitude version. This approach has been used to deduce a left truncated beta LF (see [10,11]), and a truncated gamma LF (see [12]).
The main difference between LFs for galaxies and for QSOs is that, in the first case, we have an LF for a unit volume of 1 and, in the second case, we are speaking of an LF for unit volume but with a redshift dependence. The dependence on the redshift complicates an analytical approach because the number of observed QSOs at low luminosity decreases with the redshift, and the highest observed luminosity increases with the redshift. The first effect is connected with the Malmquist bias, i.e., the average luminosity increases with the redshift, and the second one can be modeled by an empirical law. The above redshift dependence in the case of QSOs can be modeled by the double power law LF (see [13]), or by an improved Schechter function (see [14]). The present paper derives, in Section 2, the luminosity distance and the distance modulus in a flat cosmology. Section 3 derives a truncated version of the Schechter LF. Section 4 applies the truncated Schechter LF to QSOs, deriving the parameters of the LF in the range of redshift , modeling the average absolute magnitude as a function of the redshift, and deriving the photometric maximum for a given apparent magnitude as a function of the redshift.
2. The Flat Cosmology
The first definition of the luminosity distance, , in flat cosmology is
where is the Hubble constant expressed in , c is the speed of light expressed in , z is the redshift, a is the scale-factor, and is
where G is the Newtonian gravitational constant and is the mass density at the present time, see Equation (2.1) in [15]. A second definition of the luminosity distance is
see Equation (2) in [16]. The change of variable in the second definition allows finding the first definition. An analytical expression for the integral (1) is here reported as a Taylor series of order 8 when and
and the distance modulus as a function of z, ,
As a consequence, the absolute magnitude, M, is
The angular diameter distance, , after [17], is
We may approximate the luminosity distance as given by Equation (4) by the minimax rational approximation, , with the degree of the numerator and the degree of the denominator :
which allows deriving the inverse formula, the redshift, as a function of the luminosity distance:
Another useful distance is the transverse comoving distance, ,
with the connected total comoving volume
which can be minimax-approximated as
3. The Adopted LFs
This section reviews the Schechter LF, the double power law LF, and the Pei LF for QSOs. The truncated version of the Schechter LF is derived. The merit function is computed as
where n is the number of bins for LF of QSOs and the two indices and stand for ‘theoretical’ and ‘astronomical’, respectively. The residual sum of squares (RSS) is
where is the theoretical value and is the astronomical value.
A reduced merit function is evaluated by
where is the number of degrees of freedom and k is the number of parameters. The goodness of the fit can be expressed by the probability Q (see Equation 15.2.12 in [18], which involves the degrees of freedom and the ). According to [18], the fit “may be acceptable” if . The Akaike information criterion (AIC) (see [19]), is defined by
where L is the likelihood function and k is the number of free parameters in the model. We assume a Gaussian distribution for the errors and the likelihood function can be derived from the statistic where has been computed by Equation (13), see [20,21]. Now, the AIC becomes
3.1. The Schechter LF
Let L be a random variable taking values in the closed interval . The Schechter LF of galaxies, after [1], is
where sets the slope for low values of L, is the characteristic luminosity, and represents the number of galaxies per . The normalization is
where
is the gamma function. The average luminosity, , is
An equivalent form in absolute magnitude of the Schechter LF is
where is the characteristic magnitude. The scaling with h is and [].
3.2. The Truncated Schechter LF
We assume that the luminosity L takes values in the interval , where the indices l and u mean ‘lower’ and ‘upper’; the truncated Schechter LF, , is
where is the incomplete Gamma function defined as
see [22]. The normalization is the same as for the Schechter LF, see Equation (19),
The average value is
with
The four luminosities and are connected with the absolute magnitudes M, , and through the following relationship:
where the indices u and l are inverted in the transformation from luminosity to absolute magnitude and and are the luminosity and absolute magnitude of the sun in the considered band. The equivalent form in absolute magnitude of the truncated Schechter LF is therefore
The averaged absolute magnitude is
3.3. The Double Power Law
The double power law LF for QSOs is
where is the characteristic luminosity, models the low boundary, and models the high boundary, see [8,13,23,24,25,26]. The magnitude version is
where the characteristic absolute magnitude, , and are functions of the redshift.
3.4. The Pei Function
The exponential LF, or Pei LF, after [14], is
and the magnitude version is
4. The Astrophysical Applications
This section explains the K-correction for QSOs, introduces the sample of QSOs on which the various tests are performed, finds the parameters of the new LF in the range of redshift , and finds the number of QSOs as a function of the redshift.
4.1. K-Correction
The K-correction for QSOs as a function of the redshift can be parametrized as
with (see [27]). Following [28], we have adopted . The corrected absolute magnitude, , is
In the following, both the observed and the theoretical absolute magnitude will always be K-corrected.
4.2. The Sample of QSO
We selected the catalog of the 2dF QSO Redshift Survey (2QZ), which contains 22,431 redshifts of QSOs with , a total survey area of 721.6 , and an effective area of 673.4 , see [8] 1. Section 3 in [8] discusses four separate types of completeness that characterize the 2QZ and 6QZ surveys: (i) morphological completeness, , (ii) photometric completeness, , (iii) coverage completeness and (iv) spectroscopic completeness, . The first test can be done on the upper limit of the maximum absolute magnitude, , which can be observed in a catalog of QSOs characterized by a given limiting magnitude, in our case , where has been defined by Equation (5):
(see Figure 1).
A careful examination of Figure 1 allows concluding that all of the QSOs are in the region over the border line, the number of observed QSOs decreases with increasing z, and the average absolute magnitude decreases with increasing z. The previous comments can be connected with the Malmquist bias, see [29,30], which was originally applied to the stars and later on to the galaxies by [31].
4.3. The Luminosity Function for QSOs
A binned luminosity function for quasars can be built in one of the two methods suggested by [32]: the method (see [33,34,35]), and a binned approximation. Notably, Ref. [36] argued that both the and the binned approximation can produce bias at the faint end of the LF due to the arbitrary choosing of redshift and luminosity intervals.
We implemented the binned approximation of [32], , as
where is the number of quasars observed in the bin. The error is evaluated as
The comoving volume in the flat cosmology is evaluated according to Equation (11),
where and are, respectively, the upper and lower comoving distance. A correction for the effective volume of the catalog, , gives
where is the effective area of the catalog in .
A typical example of the observed LF for QSOs when is reported in Figure 2 and Figure 3 reports the LF for QSOs in four ranges of redshifts.
Figure 2.
The observed LF for QSOs is reported with the error bar evaluated as the square root of the LF (Poissonian distribution) when z.
Figure 3.
The observed LF for QSOs when z and M (empty stars), and M (full triangles), and M (empty crosses) and and M (stars of David).
The variable lower bound in absolute magnitude, , can be connected with evolutionary effects, and the upper bound, , is fixed by the physics (see the nonlinear Equation (37) and see Section 4.4).
The five parameters of the the best fit to the observed LF by the truncated Schechter LF can be found with the Levenberg–Marquardt method and are reported in Table 1. The resulting fitted curve is displayed in Figure 4.
Table 1.
Parameters of the truncated Schechter LF in the range of redshifts when n = 10 and k = 5.
Figure 4.
The observed LF for QSOs, empty stars with error bar, and the fit by the truncated Schechter LF when z and M.
For the sake of comparison, Table 2 reports the three parameters of the Schechter LF.
Table 2.
Parameters of the Schechter LF in the range when k = 3 and n = 10.
As a first reference, the fit with the double power LF (see Equation (32)), is displayed in Figure 5 with parameters as in Table 3.
Figure 5.
The observed LF for QSOs, empty stars with error bars, and the fit by the double power LF when the redshifts cover the range
Table 3.
Parameters of the double power LF in the range of redshifts when n = 10 and k = 4.
As a second reference, the fit with the Pei LF (see Equation (34)), is displayed in Figure 6 with parameters as in Table 3.
Figure 6.
The observed LF for QSOs, empty stars with error bar, and the fit by the Pei LF when the redshifts cover the range .
4.4. Evolutionary Effects
In order to model the evolutionary effects, an empirical variable lower bound in absolute magnitude, , has been introduced:
The above empirical formula is classified as a top line in Figure 5 of [28] and connected with the limits in magnitude. Conversely, the upper bound, , was already fixed by the nonlinear Equation (37). A second evolutionary correction is
where has been defined in Equation (37). Figure 7 reports a comparison between the theoretical and the observed average absolute magnitudes; the value of reported in Equation (43) minimizes the difference between the two curves.
Figure 7.
Average observed absolute magnitude versus redshift for QSOs (red points), average theoretical absolute magnitude for truncated Schechter LF as given by Equation (30) (dot-dash-dot green line), theoretical curve for the empirical lowest absolute magnitude at a given redshift, see Equation (42) (full black line) and the theoretical curve for the highest absolute magnitude at a given redshift (dashed black line), see Equation (37), RSS = 1.212.
As a first reference, Figure 8 reports a comparison between the theoretical and the observed average absolute magnitudes in the case of the double power LF—the value of , which minimizes the difference between the two curves
and other parameters as in Table 3.
Figure 8.
Average observed absolute magnitude versus redshift for QSOs (red points), average theoretical absolute magnitude for the double power LF as evaluated numerically (dot-dash-dot green line), theoretical curve for the empirical lowest absolute magnitude at a given redshift, see Equation (42) (full black line) and the theoretical curve for the highest absolute magnitude at a given redshift (dashed black line), see Equation (37), RSS = 1.138.
As a second reference, Figure 9 reports a comparison between the theoretical and the observed average absolute magnitude in the case of the Pei LF with parameters as in Table 4.
Figure 9.
Average observed absolute magnitude versus redshift for QSOs (red points), average theoretical absolute magnitude for the Pei LF as evaluated numerically (dot-dash-dot green line), theoretical curve for the empirical lowest absolute magnitude at a given redshift, see Equation (42) (full black line) and the theoretical curve for the highest absolute magnitude at a given redshift (dashed black line), see Equation (37), RSS = 5.41.
Table 4.
Parameters of the Pei LF in the range of redshifts with k = 3 and n = 10.
In the above fit, the evolutionary correction for is absent.
4.5. The Photometric Maximum
The definition of the flux, f, is
where r is the luminosity distance. The redshift is approximated as
where has been introduced into Equation (9). The relation between and is
where r has been defined as by the minimax rational approximation, see Equation (8). The joint distribution in z and f for the number of galaxies is
where is the Dirac delta function and has been defined in Equation (23). The above formula has the following explicit version
where
where
The magnitude version is
with
and
where m is the apparent magnitude of the catalog, and the absolute magnitudes , , and have been defined in Section 3.2. The conversion from flux, f, to apparent magnitude, m, in the above formula is obtained from the usual formula
and
The number of galaxies in z and m, as given by formula (52), has a maximum at but there is no analytical solution for such a position and a numerical analysis should be performed. Figure 10 reports the observed and the theoretical number of QSOs as functions of the redshift at a given apparent magnitude when is given by Equation (42) and is given by Equation (37). Here, we adopted the law of rare events, i.e., the Poisson distribution, in which the variance is equal to the mean, i.e., the error bar is given by the square root of the frequency.
Figure 10.
The QSOs with are organized in frequencies versus spectroscopic redshift, points with error bars. The redshifts cover the range and the histogram’s interval is 0.14. The maximum frequency of observed QSOs is at and the number of bins is 20. The full line is the theoretical curve generated by as given by the application of the truncated Schechter LF, which is Equation (52) with parameters as in Table 1 but . The theoretical maximum is at .
In the above fit, the observed position of the maximum, , and the theoretical prediction, , have approximately the same value. In the two regions surrounding the maximum, the degree of prediction is not as accurate, due to the fact that the three absolute magnitudes , and are functions of z.
5. Conclusions
Absolute Magnitude
The evaluation of the absolute magnitude of a QSO is connected with the distance modulus, which, in the case of the flat cosmology, (, ) is reported in Equation (5) as a Taylor series of order 8 with range in z, . As an application of the above series, we derived an inverse formula for the redshift as a function of the luminosity distance and an approximate formula for the total comoving volume.
Truncated Schechter LF
The Schechter LF is characterized by three parameters: , and . The truncated Schechter LF is characterized by five parameters: , , , and . The reference LF for QSOs, the double power law LF, is characterized by four parameters: , , and . An application of the above LFs in the range of z gives the following reduced chi-square 2.57 for the truncated Schechter LF, 1.49 for the Schechter LF, 1.57 for the double power LF, and 2.05 for the Pei LF. The other statistical such as the AIC are reported in Table 1, Table 2, Table 3 and Table 4. We can therefore speak of minimum differences between the four LFs here analyzed in the nearby universe defined by redshifts .
Evolutionary effects
The evolution of the LF for QSOs as a function of the redshift is here modeled by an upper and lower truncated Schechter function. This choice allows modeling the lower bound in luminosity (the higher bound in absolute magnitude) according to the evolution of the absolute magnitude (see Equation (37)). The evaluation of the upper bound in luminosity (the lower bound in absolute magnitude) is empirical and is reported in Equation (42). A variable value of with z in the case of the truncated Schechter LF (see Equation (43)), allows matching the evolution of the observed average value of absolute magnitude with the theoretical average value of absolute magnitude (see Figure 7). A comparison is done with the theoretical average value in absolute magnitude for the case of a double power law and the Pei function (see Figure 8 and Figure 9).
Maximum in magnitude
The joint distribution in redshift and energy flux density is here modeled in the case of a flat universe, see formula 48. The position in redshift of the maximum in the number of galaxies for a given flux or apparent magnitude does not have an analytical expression and is therefore found numerically (see Figure 10). A comparison can be done with the number of galaxies as a function of the redshift in for the 2dF Galaxy Redshift Survey in the South and North galactic poles (see Figure 6 in [37]), where the theoretical model is obtained by the generation of random catalogs.
Conflicts of Interest
The author declares no conflict of interest.
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