At the moment of writing, the determination of the Hubble constant is oscillating between a low value as derived by the Planck collaboration , , and an high value, , as measured on 70 long-period Cepheids in the Large Magellanic Cloud (LMC) . The above difference is referred to as the Hubble constant tension  and takes the value of . It fixes an acceptable interval for the evaluation of H0. The number of supernovae (SNs) of type Ia for which the distance modulus is available has grown with time: 34 SNs in the sample which produced evidence for the accelerating universe , 580 SNs in the Union 2.1 compilation , 740 SNs in the joint light-curve analysis (JLA) , and 1048 SNs in the Pantheon sample  . The availability of SN compilations allows testing old and new cosmological models. We select some of them among others: cosmological relativity in five spatial dimensions , an improvement of the Einstein—De Sitter cosmology , the gravity with additional logarithmic corrections  , influence of the detection of gravitational waves on a definitive theory of gravity , the derivation of the value of the Hubble constant as in the framework of the dark energy cosmology  and the deduction of the parameters for Starobinsky gravity . This paper reviews, in Section 2, old and new distance moduli in twelve cosmologies. Then Section 3 processes the analysed cosmologies in four compilations of SNs.
2. Different Cosmologies
In the following, we analyze twelve cosmologies. A useful introduction to the distances in cosmology can be found in .
2.1. The Standard Cosmology
In ΛCDM cosmology the Hubble distance is defined as
where c is the speed of light and H0 is the Hubble constant. We then introduce the first parameter ,
where G is the Newtonian gravitational constant and is the mass density at the present time. A second parameter is ,
where is the cosmological constant, see . Once and H0 are found the numerical value of the cosmological constant is derived, .
The two previous parameters are connected with the curvature by
The comoving distance, , is
where is the “Hubble function”:
The above integral cannot be done in analytical terms, except for the case of , but the Padé approximant, see Appendix 5, allows to derive the approximated indefinite integral, see Equation (10).
The approximate definite integral for (5) is therefore,
where is Equation (10). The transverse comoving distance is:
and the approximate transverse comoving distance computed with the Padé approximant is:
The Padé approximant for the luminosity distance is
and the Padé approximant for the distance modulus, , is
As a consequence, , the absolute magnitude of the Padé approximant, is
The expanded version of the Padé approximant distance modulus is:
Figure 1 reports the percentage error, see formula (75), for as function of the redshift until the value of 1% is reached at . For the Padé approximant of the distance modulus does not converge to the numerical distance modulus.
More details can be found in .
2.2. Dynamical Dark Energy or wCDM
In the dynamical dark energy cosmology (wCDM), firstly introduced by , the Hubble distance is
where w is the equation of state here considered constant, see Equation (3.4) in  or Equation (18) in  for the luminosity distance. Here we considered w to be constant but also the case of w as function of z can be considered, see Equation (19) in . In the above cosmology the cosmological constant is absent. In flat cosmology,
and the Hubble distance becomes
The indefinite integral in the variable z of the above Hubble distance, , is
where the new symbol underline the mathematical operation of integration. In order to solve for the indefinite integral we perform a change of variable .
Figure 1. Percentage error of in respect to the numerical value with data as in Table 1.
The indefinite integral is
where is the regularized hypergeometric function, see     . We now return to the variable z, the redshift. Then the indefinite integral becomes:
We denote by the definite integral,
The luminosity distance, , for wCDM cosmology in the case of the analytical solution is
where is given by Equation (21) and the distance modulus is
More details can be found in .
2.3. The Cardassian Cosmology
In flat Cardassian cosmology   the Hubble distance is
where n is a variable parameter, and means the ΛCDM cosmology, see Equation (17) in . The above equation can also be obtained inserting in Equation (14). Despite of this fact the FORTRAN code which derives the cosmological parameters produces a small difference in the results because the variables are evaluated in a different way. The indefinite integral in the variable z of the above Hubble distance, , is
In order to obtain the indefinite integral we perform a change of variable ,
The indefinite integral is
where is the regularized hypergeometric function. We now return to the original variable z and the indefinite integral is
We denote by the definite integral,
In the case of the Cardassian cosmology, the luminosity distance is
where is given by Equation (29) and the distance modulus is
In the flat Cardassian cosmology, there are three parameters: and n. More details can be found in .
2.4. The Flat Cosmology
The starting point is Equation (1) for the luminosity distance in .
where the variable of integration, t, denotes the redshift.
A first change in the parameter introduces
and the luminosity distance becomes
The following change of variable, , is performed for the luminosity distance, which becomes
The integral for the luminosity distance is
where s is given by Equation (33) and is Legendre’s incomplete elliptic integral of the first kind,
see . The distance modulus is
with s as defined by Equation (33). More details can be found in .
2.5. ϕCDM Cosmology
The inflationary universe has been introduced by    and the term “quintessence” in a title of a paper appeared in . At the moment of writing given a scalar field, , and the connected self-interacting potential, , ten different quintessence models are suggested by . Here we start from Equation (12) in  where , the “Hubble function”, is
where is the adimensional present density of matter,
is the present adimensional density of the scalar field, is the present value of the Hubble constant, is the present density of matter, is the present density of the scalar field, and are two parameters which allow to match theory and observations. In absence of curvature we have
The luminosity distance is
where the variable of integration, t, denotes the redshift. At the moment of writing there is not an analytical solution for the above integral and therefore we implement a numerical solution, . The distance modulus is
An approximate value of the above integral (45) is obtained with a Taylor expansion of the integrand about of order seven denoted by . We report the numerical expression with cosmological parameters as in Table 1 relative to the Union 2.1 compilation:
The approximate distance modulus is
which for the Union 2.1 compilation has the following numerical expression,
Figure 2 reports the percentage error, see formula (75), for as function of the redshift until the value of 0.02% is reached at .
2.6. The Einstein—De Sitter Cosmology
In the Einstein—De Sitter model the luminosity distance, , after  , is
and the distance modulus for the Einstein—De Sitter model is:
Figure 2. Percentage error of in respect to the numerical value with data as in Table 1.
There is one free parameter in the Einstein—De Sitter model: H0. The Einstein—De Sitter model has been recently improved by , splitting the analysis in two: the Einstein—De Sitter flat, only-matter universe, referred to as EdesNa, and a flat, only-matter, including the Mach effect universe, referred to as EDSM. We limit ourselves to the EdesNA model and we start from Equation (37) of ,
Evaluating the integral yields:
The integrand of (54) can be approximated with a Padé approximant with ,
and therefore we have the approximate integral,
which generates the following approximate distance modulus,
The percent error between the approximate distance modulus as given by Equation (58) and the exact distance modulus as given by Equation (52) is when and .
2.7. Simple GR Cosmology
In the framework of GR, the received flux, f, is
where is the luminosity distance, which depends on the cosmological model adopted, see Equation (7.21) in  or Equation (5.235) in .
The distance modulus in the simple GR cosmology is
see Equation (7.52) in . There are two free parameters in the simple GR cosmology: H0 and q0.
2.8. Flat Expanding Universe
This model is based on the standard definition of luminosity in the flat expanding universe. The luminosity distance, , is
and the distance modulus is
see formulae (13) and (14) in . There is one free parameter in the flat expanding model, H0.
2.9. The Milne Universe in SR
In the Milne model, which is developed in the framework of SR, the luminosity distance, after   , is
and the distance modulus for the Milne model is
There is one free parameter in the Milne model: H0.
2.10. Plasma Cosmology
In a Euclidean static framework from among many possible absorption mechanisms, we have selected a plasma effect which produces the following relation for the distance d,
where the distance expressed in lower case underline the difference with the relativistic case, see Equation (50) in .
In the presence of plasma absorption, the observed flux is
where the factor is due to galactic and host galactic extinctions, is the reduction due to the plasma in the IGM and is the reduction due to the Compton scattering, see the formula before Equation (51) in . The resulting distance modulus in the plasma mechanism is
see Equation (7) in . There is one free parameter in the plasma cosmology: H0 when . A detailed analysis of this and other physical mechanisms which produce the observed redshift can be found in .
2.11. Modified Tired Light
In a Euclidean static universe, the concept of modified tired light (MTL) was introduced in Section 2.2 of . The distance in the MTL is
where the distance expressed in lower case underline the difference with the relativistic case. The distance modulus in MTL is
where is a parameter lying between 1 and 3 which allows matching theory with observations. There are two free parameters in MTL: H0 and .
3. Astrophysical Results
We first review the statistics involved and then we process the 12 × 4 cosmological cases.
3.1. The Adopted Statistics
In the case of the distance modulus, the merit function is
where N is the number of SNs, is the observed distance modulus evaluated at a redshift of , is the error in the observed distance modulus evaluated at , and is the theoretical distance modulus evaluated at , see formula (15.5.5) in . The reduced merit function is:
where is the number of degrees of freedom, N is the number of SNs, and k is the number of free parameters. Another useful statistical parameter is the associated Q-value, which has to be understood as the maximum probability of obtaining a better fitting, see formula (15.2.12) in :
where GAMMQ is a subroutine for the incomplete gamma function. The Akaike information criterion (AIC), see , is defined by
where L is the likelihood function. We assume a Gaussian distribution for the errors; then the likelihood function can be derived from the statistic where has been computed by Equation (70), see  . Now the AIC becomes
The goodness of the approximation in evaluating a physical variable p is evaluated by the percentage error ,
where is an approximation of p.
3.2. The Numerical Techniques
The parameters of the twelve cosmologies here analyzed are found minimizing the as given by Equation (70). We now report the adopted numerical techniques:
1) In absence of an analytical solution for the distance modulus we do k (the number of free parameters) nested numerical loops for the evaluation of the . The parameters which minimize the are selected. This method allows to find, as an example, the parameters of the ΛCDM and ϕCDM cosmologies.
2) In presence of an analytical solution, an approximate Taylor series and a Padé approximant for the distance modulus we derive the parameters through the Levenberg—Marquardt method (subroutine MRQMIN in  ) once an analytical expression for the derivatives of the distance modulus with respect to the unknown parameters is provided. In absence of a human expression for the derivatives, we implement the numerical derivative. This method was used to evaluate the parameters of the MTL, the simple GR, the plasma, the Milne, the Einstein—De Sitter, the flat, the wCDM and the Cardassian cosmologies.
The above techniques allow to derive the cosmological parameters with unprecedented accuracy, as an example, an error of 0.1 km·s−1·Mpc−1 can be associated with the Hubble constant. The advantage to have approximate results, i.e. the Padé approximant for the distance modulus as given by Equation (11), is that we can evaluate in an analytical way the first derivative required by the Levenberg-Marquardt method and the numerical integration is not necessary.
3.3. The Four Compilations
In order to avoid the degeneracy in the Hubble constant-absolute magnitude plane we deal only with already calibrated distance modulus. The first astronomical test we perform is on the 580 SNs of the Union 2.1 compilation, see , which is available at http://supernova.lbl.gov/Union/figures/SCPUnion2.1_mu_vs_z.txt: in this compilation a calibrated distance versus redshift is provided. The cosmological parameters are reported in Table 1 and Figure 3 reports the best fit in the ΛCDM cosmology.
The second test we perform is on the joint light-curve analysis (JLA), which contains 740 SNs  with data available on CDS at http://cdsweb.u-strasbg.fr/. The above compilation consists of SNe (type I-a) for which we have a heliocentric redshift, z, apparent magnitude in the B band, error in , , parameter , error in , , parameter C, error in the parameter C, and . The observed distance modulus is defined by Equation (4) in ,
Table 1. Numerical values of , , Q and the AIC of the Hubble diagram for the Union 2.1 compilation: k stands for the number of parameters, H0 is expressed in km·s−1·Mpc−1; 580 SNs.
Figure 3. Hubble diagram for the Union 2.1 compilation, green points with error bar. The solid red line represents the best fit for the distance modulus in ΛCDM cosmology as represented by Equation (11). The theoretical uncertainties are represented through blue vertical lines by applying the law of errors of Gauss with the uncertainties and parameters as in the first line of Table 1.
The adopted parameters are , and
where is the mass of the sun, see line 1 in Table 10 of . The uncertainty in the observed distance modulus, , is found by implementing the error propagation equation (often called the law of errors of Gauss) when the covariant terms are neglected, see Equation (3.14) in ,
The third test is performed on the Union 2.1 compilation (580 SNs) + the distance modulus for 59 calibrated high-redshift GRBs, the so called “Hymnium” sample of GRBs, which allows to calibrate the distance modulus in the high redshift up to , see Table 3 and Figure 5 for the best fit in the Cardassian cosmology.
Table 2. Numerical values of , , Q and the AIC of the Hubble diagram for the JLA compilation, k stands for the number of parameters, H0 is expressed in km·s−1·Mpc−1; 740 SNs.
Table 3. Numerical values of , , Q and the AIC of the Hubble diagram for the Union 2.1 compilation + the “Hymnium” GRB sample, k stands for the number of parameters, H0 is expressed in km·s−1·Mpc−1; 580 SNs + 59 GRBs.
Figure 4. Hubble diagram for the JLA compilation, green points with error bar. The solid red line represents the best fit for the distance modulus in MTL cosmology as represented by Equation (69). The theoretical uncertainties are represented through blue vertical lines.
Figure 5. Hubble diagram for the Union 2.1 compilation + the “Hymnium” GRB sample, green points with error bar. The solid red line represents the best fit for the distance modulus in Cardassian cosmology as represented by Equation (31). The theoretical uncertainties are represented through blue vertical lines.
The fourth test is performed on the Pantheon sample of 1048 SN Ia   with calibrated data available at https://archive.stsci.edu/prepds/ps1cosmo/jones_datatable.html, see Table 4 and Figure 6 for the best fit in the flat cosmology.
In order to see how varies around the minimum for the Pantheon sample in the case of the ΛCDM cosmology, Figure 7 presents a 2D colour map for the values of for the Pantheon sample when H0 and are allowed to vary around the numerical values which fix the minimum.
Figure 8 presents the map for , for wCDM and for the Pantheon sample when H0 is fixed and and w are allowed to vary.
Figure 6. Hubble diagram for the Pantheon sample, green points with error bar. The solid red line represents the best fit for the distance modulus in flat cosmology as represented by Equation (39). The theoretical uncertainties are represented through blue vertical lines.
Figure 7. Color contour plot for of the Hubble diagram for the Pantheon sample in ΛCDM cosmology when H0 and are variables and .
Figure 8. Map of for the wCDM cosmology when .
Table 4. Numerical values of , , Q and the AIC of the Hubble diagram for the Pantheon sample, k stands for the number of parameters, H0 is expressed in km·s−1·Mpc−1; 1048 SN Ia.
3.4. Angular-Diameter Distance
In the relativistic models the angular diameter distance, , is
We now introduce the minimax approximation. Let be a real function defined in the interval . The best rational approximation of degree evaluates the coefficients of the ratio of two polynomials of degree k and l, respectively, which minimizes the maximum difference of:
on the interval . The quality of the fit is given by the maximum error over the considered range. The coefficients are evaluated through the Remez algorithm, see  . The minimax approximation for the angular distance in the interval with data as in Table 3 for ΛCDM cosmology when and is:
for wCDM cosmology when and is:
for Cardassian cosmology when and is:
for flat cosmology when and is:
and for ϕCDM cosmology when and is:
In MTL there is no difference between the distance d, see Equation (68), and the angular distance. We report the numerical value of d in the interval with data as in Table 3,
A promising field of investigation in applied cosmology is the maximum of the angular distance as function of the redshift  , , which is finite in relativistic cosmologies and infinite in the Milne, plasma and MTL cosmologies, see Figure 9.
The numerical value of is reported in Table 5, as a reference for flat Planck ΛCDM cosmology .
Another example is given by the ring associated with the galaxy SDP.81, see , which is generally explained by the gravitational lens. In this framework we have a foreground galaxy at and a background galaxy at . This ring has been studied with the Atacama Large Millimeter/sub-millimeter Array (ALMA) by  - . The system SDP.81 has been analysed by ALMA and presents 14 molecular clumps along the two main lensed arcs: the averaged radius in arcsec is .
Table 5. Numerical values of and radius of Einstein ring in kpc when .
Table 6. The first, second, third and fourth best fitting models for the four compilations.
Figure 9. Angular distance in MTL (red), ΛCDM (green) and ϕCDM (blue) cosmologies with data as in Table 3.
Figure 10. Values of the Newtonian constant of gravitation G as given by Table XXIV in .
Figure 11. The present tension on H0 (black line with two arrows) and our results in the case of the Pantheon sample with the connected averaged value which is marked as “Pantheon”; parameters as in Table 4.
Cosmological models: We list according to increasing order of the values of the merit function, , the first, second, third, and fourth cosmological models, see Table 6.
The Einstein--De Sitter, simple GR, and plasma models produce the highest values in the and are here considered only for historical reasons.
Physics versus Astronomy: The value of the Newtonian gravitational constant, denoted by G, is derived applying the weighted mean, but the uncertainties were multiplied by a factor of 14, of 11 values available in TableXXIV in , see Figure 10.
By analogy, we average the values of H0 for the Pantheon sample and we report as error for H0 the standard deviation,
see Figure 11.
The author is grateful to David Jones for information useful for downloading the data of the Pantheon sample.
Appendix A. The Padé Approximant
Given a function , the Padé approximant, after , is:
where the notation is the same as in .
The coefficients and are found through Wynn’s cross rule, see   and our choice is and . The choice of p and q is a compromise between precision (associated with high values for p and q) and the simplicity of the expressions to manage (associated with low values for p and q). The argument of the integral to be done is the inverse of , see Equation (6),
and the Padé approximant is:
The indefinite integral of (3), , is:
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