3.1. Type Ia Supernovae
The observed magnitudes of type Ia supernovas are one of the best data for constraining the distance redshift relationship through the determination of the luminosity distance. In the CDM models, the distances tend to be smaller compared to the CDM predictions at the same redshift. This provides an opportunity for differentiating these models from each other.
One of the first studies in this direction was performed in Podariu and Ratra [
193]. They used three datasets of SNe Ia apparent magnitude versus redshift: (i) R98 data [
162], both including and excluding the unclassified SN Ia 1997ck at
(with 50 and 49 SNe Ia apparent magnitude data, respectively), (ii) P99 data [
2], and (iii) a third set with the corrected/effective stretch factor magnitudes for the 54 Fit C SNe Ia of P99 apparent magnitude data, and obtained constraints on the
CDM model with
RP potential (
CDM-RP model) (see
Figure 4).
Caresia et al. [
194] obtained constraints on parameters of the
CDM with the
RP and
Sugra potentials [
177,
195], and also the
extended quintessence models with the inverse power-law
RP potential [
196,
197], from datasets of apparent magnitude versus redshift measurements of 176 SNe Ia [
2,
162,
198], and data of the SuperNovae Acceleration Probe (SNAP) satellite [
199]
1. Obtained constraints on model parameters are shown in
Figure 5 and
Figure 6. No useful constraints on the model parameters were found for the Sugra potential, while
constraints of
and
, for both the extended and ordinary quintessence models using the RP potential, were obtained using the SNe Ia apparent magnitude and SNAP satellite data respectively.
Doran et al. [
200] considered a DE model parameterized as [
200]
where
corresponds to
the constant
b is defined by the EoS parameter at present epoch
, the dark energy density parameter at present epoch
, and the parameter
characterizing the amount of dark energy at early times to which it asymptotes for very large redshifts, as
Using a combination of datasets from SNe Ia [
162], Wilkinson Microwave Anisotropy Probe (WMAP) [
201], Cosmic Background Imager (CBI) [
202], Very Small Array (VSA) [
203], SDSS [
204], and HST [
205], the authors find
and
at the
confidence level; the contours are shown in
Figure 7. It should be noted that the SNe Ia apparent magnitude data are most sensitive to
, while CMB temperature anisotropies and LSS growth rate are the best constraints of
(see
Figure 8).
Fuzfa & Alim [
206] studied the
CDM model with the
RP and
Sugra potentials in a
spatially closed universe. The estimated values of
and
, using SNe Ia apparent magnitude data from the SNLS collaboration [
207], are quite different than those for the standard spatially flat
CDM model (
Figure 9). Such a result is expected due to the different cosmic acceleration and dark matter clustering predicted between quintessence models and the standard
CDM model, arising from differences in cosmological parameters, even at
. The quintessence scalar field creates more structures outside the filaments, lighter halos with higher internal velocity dispersion, as seen from N-body simulations performed by the authors to study the influence of quintessence on the distribution of matter on large scales.
Pavlov et al. [
208] found that for the
CDM-RP model in a spacetime with
nonzero spatial curvature, the dynamical scalar field has an attractor solution in the curvature dominated epoch, while the energy density of the scalar field increases relative to that of the spatial curvature. In the left panel of
Figure 10, we see that the values
and
are consistent with these constraints for a range of values
, for a set of values of
2. The right panel of
Figure 10 shows a similar analysis for several values of the cosmological test parameter
, where
and
are the values of the matter density contrast at respectively at the present time
, and an arbitrary time
such that
, i.e., a time when the universe is well approximated by the Einstein-de Sitter model in the matter-dominated epoch.
Farooq et al. [
209] constrained the
CDM-RP model in a spacetime with
non-zero spatial curvature, as well as the
XCDM model, using the Union2.1 compilation of 580 SNe Ia apparent magnitude measurements of Suzuki et al. [
210], Hubble parameter observations [
28,
30,
211,
212], and the
BAO peak length scale measurements [
21,
22,
213] (see
Figure 11). They constrain the spatial curvature density parameter today to be
at
confidence level, and more precise data are required to tighten the bounds on the parameters.
Assuming that the Hubble constant
tension of the
CDM model is actually a tension on the SNe Ia absolute magnitude
, Nunes & Di Valentino [
139] assessed the
tension by comparing of
spatially flat CDM model,
wCDM and
IDE models using two datasets compilation SNe Ia Pantheon sample [
163]+ BAO [
22,
24,
25,
215,
216] + big bang nucleosynthesis (BBN) [
217] and SNe Ia Pantheon sample + BAO [
22,
24,
25,
215,
216] + BBN [
217] +
[
218] (see
Figure 12). They found that the IDE model can alleviate both the
and
tensions with a coupling different from zero at 2
confidence level with a preference for a compilation of Pantheon + BAO + BBN +
datasets.
3.2. Cosmic Microwave Background Radiation Data
The CMB provides a very accurate determination of the angular diameter distance at a redshift of . This measurement is sensitive to the entire expansion of the universe over this wide range of redshifts. As pointed out before, CDM models tend to predict smaller distances and can therefore be constrained with the CMB geometric measurements.
In one of the first such studies, Doran et al. [
219] used CMB temperature anisotropy data from the BOOMERANG and MAXIMA experiments [
220,
221] to distinguish quintessential inflation models with different EoS parameters, described by a kinetic term
of the cosmon field
3: (i) the
RP potential with
, (ii) the
leaping kinetic term model which has
,
is the reduced Plank mass,
,
eV and
[
222], and (iii) the
exponential potential with
,
, and
[
134]. The dark energy density parameters today and at last scattering epoch,
and
, and the averaged EoS parameter of the field
are used to parameterize the separation of peaks in CMB temperature anisotropies, which can be used to measure the value of
before the last scattering (see
Figure 13).
Caldwell et al. [
223] investigated how early quintessence dark energy, i.e., a non-negligible quintessence energy density during the recombination and structure formation epochs, affects the baryon-photon fluid and the clustering of dark matter, and thus the CMB temperature anisotropy and the matter power spectra. They showed that early quintessence is characterized by a suppressed ability to cluster at small length scales, as suggested by the compilation of data from WMAP [
224,
225], CBI [
226,
227], Arcminute Cosmology Bolometer Array Receiver (ACBAR) [
228], the LSS growth rate dataset of Two degree Field (2dF) Galaxy Redshift Survey [
229,
230,
231], and
forest [
232,
233]; these are shown in
Figure 14. Furthermore, quintessential inflation models are compatible with these data for a constant spectral index of primordial density perturbations, as seen in the left panel of
Figure 14.
Pettorino et al. [
234] studied a class of
extended CDM models, where the scalar field is exponentially coupled to the Ricci scalar and is described by the
RP potential. The projection of the ISW effect on the CMB temperature anisotropy
4 is found to be considerably larger in the exponential case with respect to a quadratic non-minimal coupling as seen in
Figure 15. This reflects the fact that the effective gravitational constant depends exponentially on the dynamics of the scalar field.
Mukherjee et al. [
235] conducted a likelihood analysis of the Cosmic Background Explorer - Differential Microwave Radiometers (COBE-DMR) sky maps to normalize the
CDM-RP model in flat space5. As seen from
Figure 16, this model remains an observationally viable alternative to the standard spatially flat
CDM model.
Samushia and Ratra [
238] constrainted model parameters of the
CDM model, the
XCDM model, and the
CDM-RP model using galaxy cluster gas mass fraction data [
239], for this, they introduced an auxiliary random variable as opposed to integrating over nuisance parameters of the Markov Chain Monte Carlo (MCMC) method. Two different sets of priors were chosen to study the influence of the type of priors on the obtained results – one set has [
7]
,
(1
errors), and the other set has
[
240,
241], and
[
242]. The obtained constraints on the
CDM model with the RP potential are shown in
Figure 17. We see that
is better constrained than
, whose best-fit value is
, corresponding to the standard spatially flat
CDM model, however, the scalar field
CDM model is not excluded.
Chen et al. [
243] constrained the scalar field
CDM-RP model and the
CDM model with massive neutrinos assuming two different neutrino mass hierarchies in both the spatially flat and non flat universes, using a joint dataset comprising of CMB temperature anisotropy data [
12,
244], BAO peak length scale data from 6dF Galaxy Survey (6dFGS), from SDSS - Main Galaxy Sample (MGS), Baryon Oscillation Spectroscopic Survey (BOSS)-LOWZ (galaxies within the redshift range
), BOSS CMASS-DR11 (galaxies within the redshift range
) [
23], the joint light-curve analysis (JLA) compilation from SNe Ia apparent magnitude measurements [
245], and the Hubble Space Telescope
prior observations [
29]. Assuming three species of degenerate massive neutrinos, they found the
upper bounds of
eV and
eV respectively for the spatially flat (spatially non-flat)
CDM model and the spatially flat (spatially non-flat)
CDM model (see
Figure 18). The inclusion of spatial curvature as a free parameter leads to a significant expansion of the confidence regions for
and other parameters in spatially flat
CDM models, but the corresponding differences are larger for both the spatially non-flat
CDM and spatially non-flat
CDM models.
Park & Ratra [
246] constrained the
spatially flat tilted and
spatially non-flat untilted CDM-RP inflation model by analyzing CMB temperature anisotropy angular power spectrum data from the Planck 2015 mission [
247], BAO peak length scale measurements [
26], a Pantheon collection of 1048 SNe Ia apparent magnitude measurements over the broader redshift range of
[
163], Hubble parameter observation [
21,
25,
28,
30,
31,
32,
33,
34,
211,
248], and LSS growth rate measurements [
25] (see
Figure 19 and
Figure 20). Constraints on parameters of the spatially non-flat model was improved from
to more than
confidence level by combining CMB temperature anisotropy data with other datasets. Present observations favor a spatially closed universe with the spatial curvature contributing about two-thirds of a percent of the current total cosmological energy budget. The spatially flat tilted
CDM model is a
better fit to the observational data than is the standard spatially flat tilted
CDM model, i.e., current observational data allow for the possibility of dynamical dark energy in the universe. The spatially non flat tilted
CDM model better fits the DES bounds on the rms amplitude of mass fluctuations
as a function of the matter density parameter at present epoch
but it does not provide such a good agreement with the larger multipoles of Planck 2015 CMB temperature anisotropy data as the spatially flat tilted
CDM model.
Constraints on model parameters in the
XCDM and
CDM-RP (spatially flat tilted) inflation models using the compilation of CMB [
247] and BAO data [
22,
23,
24,
249,
250,
251] were derived by Ooba et al. [
249]. The authors calculated the angular power spectra of the CMB temperature anisotropy using the CLASS code of Blas et al. (2011) [
250], and executed the MCMC analysis with Monte Python (Audren et al. [
251]). Results of this analysis are shown in
Figure 21.
Having one additional parameter compared to the standard spatially-flat
CDM model, both
CDM and XCMB models better fit the TT + lowP + lensing + BAO peak length scale data than does the standard spatially-flat
CDM model. For the
CDM model,
, and for the XCDM model,
relative to the
CDM model. The improvement over the standard spatially-flat
CDM model in
and in
for the XCDM model are not significant, but these dynamical dark energy models cannot be ruled out. Both the
CDM and XCMB dynamical dark energy models reduce the tension between the Planck 2015 (Aghanim et al. [
247]) CMB temperature anisotropy and the weak lensing constraints of the rms amplitude of mass fluctuations
.
Park & Ratra [
252] also constrained the Hubble constant
value in the
spatially flat and
spatially non-flat CDM,
XCDM,
CDM-RP models using various combinations of datasets: BAO peak length scale measurements [
26], a Pantheon collection of 1048 SNe Ia apparent magnitude measurements over the broader redshift range of
[
163], and Hubble parameter observations [
21,
25,
28,
30,
31,
32,
33,
34,
211,
248]. The resulting constraints are shown in
Figure 22. According to this analysis, the dataset slightly favors to the untilted spatially non-flat dynamical XCDM and
CDM quintessential inflation models, as well as smaller Hubble constant
values.
The compilation of the South Pole Telescope polarization (SPTpol) CMB temperature anisotropy data [
253], alone and in combination with Planck 2015 CMB temperature anisotropy data [
247] and non-CMB temperature anisotropy data, consisting of the Pantheon Type SNe Ia apparent magnitude measurements [
163], BAO peak length scale measurements [
22,
24,
25,
26,
248], Hubble parameter
data [
21,
28,
30,
31,
32,
33,
34,
211], and LSS growth rate data [
25] was used by Park & Ratra [
254] to obtain constraints on parameters of the
spatially flat and
untilted spatially non-flat CDM,
XCDM,
scalar field CDM-RP quintessential quintessential inflation models The results obtained from constraints on parameters of the untilted spatially non-flat
CDM model with the inverse power-law RP potential using only SPTpol CMB temperature anisotropy data and with combination of other datasets are presented in
Figure 23. In each dark energy model, constraints on cosmological parameters from SPTpol measurements, Planck CMB temperature anisotropy and non-CMB temperature anisotropy measurements are largely consistent with one another. Smaller angular scale SPTpol measurements (used jointly with only Planck CMB temperature anisotropy data or with the combination of Planck CMB temperature anisotropy data and non-CMB temperature anisotropy data) favor the untilted spatially closed models.
Di Valentino et al. [
88] explored the
IDE models to find out if these models can resolve both the Hubble constant
tension problem of the standard
spatially flat CDM model and resolve the contradictions between observations of Hubble constant in high and low redshifts in the
spatially non-flat CDM scenario.
The authors constrained on parameters of the
spatially flat IDE and
CDM models as well as the
spatially non-flat IDE and
CDM models applying CMB Planck 2018 data [
13], BAO [
22,
24,
25] measurements, 1048 data points in the redshift range
of the Pantheon SNe Ia luminosity distance data [
163], a Gaussian prior of the Hubble constant (
at 1
CL), obtained from a reanalysis of HST data by the SH0ES collaboration [
81].
Based on the results of this observational analysis, it was found that the Planck 2018 CMB data favor spatially closed hypersurfaces at more than 99% CL (with a significance of 5
). While a larger value of the Hubble constant, i.e., alleviation of the Hubble constant tension (with a significance of 3.6
) has been obtained for the spatially non-flat IDE models. The authors concluded that searches for other forms of the interaction function
and the EoS for the dark energy component in IDE models are needed, which may further ease the tension of the Hubble constant. 1
and 2
confidence level contours on parameters of the spatially non-flat IDE model are shown in
Figure 24.
3.3. Large Scale Structure Growth Rate Data
Another potentially powerful probe of CDM signatures is the growth rate in low redshift LSS. The growth rate is expected to be stronger in CDM models compared to their CDM counterparts.
Pavlov et al. [
255] constrained the
spatially flat CDM-RP, the
XCDM, the
wCDM, and the
CDM models from future LSS growth rate data, by considering that the full sky space-based survey will observe
-emitter galaxies over 15000
of the sky. For the bias and density of observed galaxies, they applied the predictions of Orsi et al. [
256] and Geach et al. [
257], respectively. They also assumed that half of the galaxies would be detected within the reliable redshift range, which roughly reflects the expected outcomes of proposed space missions, such as the ESA Euclidean Space Telescope (EUCLID) mission and the NASA Wide-Field Infrared Telescope (WFIRST) mission. The obtained results are shown in
Figure 25, where we see that measurements of the LSS growth rate in the near future will be able to constrain scalar field
CDM models with an accuracy of about 10%, considering the fiducial spatially flat
CDM model, an improvement of almost an order of the magnitude compared to those from currently available datasets [
213,
258,
259,
260,
261,
262,
263]. Constraints on the growth index parameter
are the most restrictive in the
CDM model than in other models. In the
CDM model, constraints on the growth index parameter
are about a third more tighter than in the
wCDM and XCDM models.
Pavlov et al. [
264] also obtained constraints on
the above DE models from Hubble parameter
observations [
28,
30,
211,
212], from Union2.1 compilation of 580 SNe Ia apparent magnitude measurements [
210], and a compilation of 14 independent LSS growth rate measurements within the redshift range
[
21,
22,
213,
265]. The authors performed two joint analyses, first for the combination of
and SNe Ia apparent magnitude data, and the other for measurements of LSS growth rate, Hubble parameter
and SNe Ia apparent magnitude; the results of these analyses are presented in
Figure 26. Constraints on cosmological parameters of the spatially flat
CDM model from LSS growth rate data are quite restrictive. In combination with SNe Ia apparent magnitude versus redshift data and Hubble parameter measurements, LSS growth rate data are consistent with the standard spatially flat
CDM model, as well as with the spatially flat
CDM model.
Avsajanishvili et al. [
266] constrained the parameters
and
in the
spatially flat CDM-RP model. Applying only measurements of the LSS growth rate [
267], the authors obtained a strong degeneracy between the model parameters
and
,
Figure 27 (Left panel). This was followed by obtaining constraints from a compilation of data from the LSS growth rate measurements [
267], and the distance-redshift ratio of the BAO peak length scale observations and prior distance from CMB temperature anisotropy [
268], which eliminated the degeneracy between
and
, giving
and
at
confidence level (the best-fit value for the model parameter
is
). Constraints on
and
from data compilation of Gupta et al. (2012) and Giostri et al. (2012) are presented in
Figure 27 (Right panel).
Avsajanishvili et al. [
269] also constrained various
quintessence and
phantom scalar field CDM models presented in
Table 1 and
Table 2 using observational data predicted for the Dark Energy Spectroscopic Instrument (DESI) [
248]. The parameters of these models were constrained using MCMC methods by comparing measurements of the expansion rate of the universe
, the angular diameter distance, and the LSS growth rate predicted for the standard spatially flat
CDM model with corresponding values calculated for the
CDM models. Results of constraints for the Zlatev-Wang-Steinhardt potential, the phantom pNGb potential, and the inverse power-law RP potential are shown in
Figure 28 and
Figure 29. To compare quintessence and phantom models, Bayesian statistical tests were conducted, namely the Bayes factor, as well as the
and
information criteria, were calculated. The
CDM scalar field models could not be unambiguously preferred, from the DESI predictive data, over the standard
CDM spatially flat model, the latter still being the most preferred dark energy model. The authors also investigated how the
CDM models can be approximated by the CPL parametrization, by plotting the CPL-
CDM 3 sigma confidence level contours, using MCMC techniques, and displayed on them the largest ranges of the current EoS parameters for each
CDM model. These ranges were obtained for different values of model parameters or initial conditions from the prior ranges. The authors classified the scalar field models based on whether they can or cannot be distinguished from the standard spatially flat
CDM model at the present epoch, as seen in
Figure 31. They found that all studied models can be divided into two classes: models that have attractor solutions and models whose evolution depends on initial conditions.
Figure 28.
1
and 2
confidence level contour plots for various pairs of free parameters (
,
,
h,
,
), for which the spatially flat
CDM model with the Zlatev-Wang-Steinhardt potential is in the best-fit with the standard spatially flat
CDM model. The figure is adapted from [
269].
Figure 28.
1
and 2
confidence level contour plots for various pairs of free parameters (
,
,
h,
,
), for which the spatially flat
CDM model with the Zlatev-Wang-Steinhardt potential is in the best-fit with the standard spatially flat
CDM model. The figure is adapted from [
269].
Figure 29.
1
and 2
confidence level contour plots for various pairs of free parameters (
k,
,
h,
,
,
), for which the spatially flat
CDM model with the phantom PNGB potential is in the best-fit with the standard spatially flat
CDM model. The figure is adapted from [
269].
Figure 29.
1
and 2
confidence level contour plots for various pairs of free parameters (
k,
,
h,
,
,
), for which the spatially flat
CDM model with the phantom PNGB potential is in the best-fit with the standard spatially flat
CDM model. The figure is adapted from [
269].
Figure 30.
1
and 2
confidence level contour plots for various pairs of free parameters (
,
,
h), for which the spatially flat
CDM model with the RP potential is in the best-fit with the standard spatially flat
CDM model. The figure is adapted from [
269].
Figure 30.
1
and 2
confidence level contour plots for various pairs of free parameters (
,
,
h), for which the spatially flat
CDM model with the RP potential is in the best-fit with the standard spatially flat
CDM model. The figure is adapted from [
269].
Figure 31.
(
Left panel) The comparison of the possible
and
values for quintessence dark energy potentials in the spatially flat scalar field
CDM models with the CPL -
CDM 1
, 2
, and 3
confidence level contours. (
Right panel) The comparison of possible
and
values for phantom dark energy potentials in the spatially flat scalar field
CDM models with the CPL -
CDM 1
, 2
, and 3
confidence level contours. The figure is adapted from [
269].
Figure 31.
(
Left panel) The comparison of the possible
and
values for quintessence dark energy potentials in the spatially flat scalar field
CDM models with the CPL -
CDM 1
, 2
, and 3
confidence level contours. (
Right panel) The comparison of possible
and
values for phantom dark energy potentials in the spatially flat scalar field
CDM models with the CPL -
CDM 1
, 2
, and 3
confidence level contours. The figure is adapted from [
269].
Peracaula et al. [
270] constrained the
spatially flat CDM,
XCDM, and
CDM-RP models by constructing three datasets: DS1/SP consisting of SNe Ia apparent magnitude+
+BAO peak length scale+LSS growth rate+CMB temperature anisotropy data with matter power spectrum SP; DS1/BSP consisting of SNe Ia apparent magnitude+
+BAO peak length scale+LSS growth rate+CMB temperature anisotropy data with both matter power spectrum and bispectrum; and DS2/BSP, which involves BAO peak length scale+LSS growth rate+CMB temperature anisotropy data with both matter power spectrum and bispectrum. These datasets include 1063 SNe Ia apparent magnitude data [
79,
163], 31 measurements of
from cosmic chronometers [
35,
211], 16 BAO peak length scale data [
271,
272], LSS growth rate data, specifically 18 points from data [
21,
272,
273], one point from the weak lensing observable
[
274], full CMB likelihood from Planck 2015 TT+lowP+lensing [
12]. The obtained constraints are shown in
Figure 32 and
Figure 33. The authors tested the effect of separating the expansion history data (SNe Ia apparent magnitude+
) from CMB temperature anisotropy characteristics and LSS formation data (BAO peak length scale+LSS), where LSS includes redshift-space distortions (RSD) and weak lensing measurements, and found that the expansion history data are not particularly sensitive to the dynamic effects of dark energy, while compilation of data BAO peak length scale+LSS+CMB temperature anisotropy is more sensitive. Also the influence of the bispectral component of the matter correlation function on the dynamics of dark energy is studied. For this, BAO peak length scale+LSS data were considered, including both the conventional power spectrum and the bispectrum. As a result, when the bispectral component is excluded, the results obtained are consistent with previous studies by other authors, which means that no clear signs of dynamical dark energy have been found in this case. On the contrary, when the bispectrum component was included in the BAO peak length scale+LSS growth rate dataset for the
CDM model, a significant dynamical dark energy signal was achieved at
confidence level. The bispectrum can therefore be a very useful tool for tracking and examining the possible dynamical features of dark energy and their influence on the LSS formation in the linear regime.
Park & Ratra [
275] constrained the
tilted spatially flat and
untilted spatially non-flat XCDM model by applying the Planck 2015 CMB temperature anisotropy data [
247], BAO peak length scale measurements [
26], a Pantheon collection of 1048 SNe Ia apparent magnitude measurements over the broader redshift range
[
163], Hubble parameter observations [
21,
25,
28,
30,
31,
32,
33,
34,
211,
248], and LSS growth rate measurements [
25], and obtained results as shown in
Figure 34 and
Figure 35. These data slightly favor the spatially closed XCDM model over the spatially flat
CDM model at
confidence level, while also being in better agreement with the untilted spatially flat XCDM model than with the spatially flat
CDM model at the
confidence level. Current observational data is unable to rule out dynamical dark energy models. The dynamical untilted spatially nonflat XCDM model is compatible with the Dark Energy Survey (DES) limits on the current value of the rms mass fluctuations amplitude
as a function of the matter density parameter at present epoch
, but it does not give such a good agreement with higher multipoles of CMB temperature anisotropy data, as the standard spatially flat
CDM model.
3.4. Baryon Acoustic Oscillations Data
Samushia & Ratra [
276] constrained the standard
spatially flat CDM, the
XCDM, and the
CDM-RP models from BAO peak length scale measurements [
17,
20], in conjunction with WMAP measurements of the apparent acoustic horizon angle, and galaxy cluster gas mass fraction measurements [
239]. These constraints are presented in
Figure 36. It is seen that the measurements of Percival et al. (2007) constrain the
CDM model less effectively (left panel of
Figure 36), while measurements of joint BAO peak length scale and galaxy cluster gas mass of the
CDM model give consistent and more accurate constraints than those derived from other data, i.e.,
(right panel of
Figure 36).
The above models were also constrained by Samushia et al. [
277] using lookback time versus redshift data [
278], passively evolving galaxies data [
211], current BAO peak length scale data, and SNe Ia apparent magnitude measurements. Applying a bayesian prior on the total age of the universe based on WMAP data, the authors obtained constraints on the
CDM model as shown in
Figure 37. Constraints on the
CDM model by joint datasets consisting of measurements of the age of the universe, SNe Ia Union apparent magnitude and BAO peak length scale are more tighter than those obtained from datasets consisting of data of the lookback time and the age of the universe.
The
quintessential inflation model with the generalized exponential potential was studied by Geng et al. [
131]. The authors extended this model including massive neutrinos that are non-minimally coupled with a scalar field, obtaining observational constraints on parameters using combinations of data: CMB temperature anisotropy [
244,
244], BAO peak length scale from BOSS [
23,
263], and 11 SNe Ia apparent magnitudes from Supernova Legacy Survey (SNLS) [
207]. It was found that the upper bound on possible values of the sum of neutrino masses
eV is significantly larger than in the spatially flat
CDM model (
Figure 38). The authors concluded that the model under consideration is in good agreement with observations and represents a successful scheme for the unification of primordial inflaton field causing inflation in the very early universe and dark energy causing the accelerated expansion of the universe at the present epoch.
The compilation of CMB angular power spectrum data from the Planck 2015 mission [
247], and BAO peak length scale measurements from the matter power spectra obtained by missions: 6dFGS [
22], BOSS, LOWZ and CMASS [
23], and SDSS-MGS [
24] was applied by Ooba et al. [
279] to obtain constraints on the
spatially non-flat quintessential inflation CDM-RP model. The theoretical angular power spectra of the CMB temperature anisotropy were calculated using the Cosmic Linear Anisotropy Solving System (CLASS) code of Blas et al. [
250], and the MCMC analysis was performed with Monte Python of Audren et al. [
251]. The results of this analysis are presented in
Figure 39. The authors also used a physically consistent power spectrum for energy density inhomogeneities in the spatially non-flat (spatially closed) quintessential inflation
CDM model, and found that the spatially closed
CDM model provides a better fit to the lower multipole region of CMB temperature anisotropy data compared to that provided by the tilted spatially flat
CDM model. The former reduces the tension between the Planck and the weak lensing
constraints, while the higher multipole region of the CMB temperature anisotropy data is in better agreement with the tilted spatially flat
CDM model than with the spatially closed
CDM model (see
Figure 40).
Ryan et al. [
280] constrained the parameters of the
CDM-RP, the
XCDM, and the
CDM models from BAO peak length scale measurements [
22,
24,
25,
26,
248], and the Hubble parameter
data [
21,
28,
30,
31,
32,
33,
34,
211]. The results obtained for the
CDM model are presented in
Figure 41, which shows that this dataset is consistent with the standard spatially flat
CDM model. Depending on the value of the Hubble constant
as a prior and the cosmological model under consideration, data provides evidence in favor of the
spatially non-flat scalar field CDM model.
Chudaykin et al. [
281] obtained constraints on the parameters of the
oCDM,
XCDM (here
CDM), and
wCDM models by using the joint analysis from data of BAO peak length scale, BBN and SNe Ia apparent magnitude. The resulting constraints are completely independent of the CMB temperature anisotropy data but compete with the CMB temperature anisotropy constraints in terms of parameter error bars. The authors consequently obtained the value of the spatial curvature density parameter at present epoch
at 1
confidence level, which is consistent with the spatially flat universe; in the spatially flat XCDM model, the value of the dark energy EoS parameter at present epoch
at 1
confidence level, which approximately equals to the value of the EoS parameter for the
CDM model; values of the
and
in the CPL parameterization of the EoS parameter of the
wCDM model
and
at 1
confidence level. The authors also found that the exclusion of the SNe Ia apparent magnitude data from the joint data analysis does not significantly weaken the resulting constraints. It means that when using a single external BBN prior, full-shape and BAO peak length scale data can provide reliable constraints independent of CMB temperature anisotropy constraints. The resulting constraints on model parameters of the spatially flat XCDM and
wCDM models are shown in
Figure 42. The authors also tightened the observational constraints on cosmological parameters with the inclusion of the hexadecapole (
) moment of the redshift-space power spectrum (see
Figure 43).
Bernui et al. [
67] investigated the effect of BAO measurements on
IDE models that have significantly different dynamic behavior compared to the prediction of the standard
CDM model. The authors used the compilation of 15 transversal 2D BAO measurements [
282,
283] and CMB data [
86] to constrain IDE models. It was found that transversal 2D BAO and traditional 3D BAO measurements can generate completely different observational constraints on the coupling parameter in IDE models. Moreover, in contrast to the joint Planck + BAO analysis, where it is not possible to solve the Hubble constant
tension, the joint Planck + BAO (transversal) analysis agrees well with the measurements made by the SH0ES team and applied to the IDE models, solves the Hubble constant
tension. 1
and 2
confidence level contours constraints on the coupling parameter
in IDE model using the 2D transversal 2D BAO are shown in
Figure 44.
3.5. Hubble Parameter Data
Samushia & Ratra [
284] used the Simon, Verde & Jimenez (SVJ) [
211] definition of the redshift dependence of the Hubble parameter
(so-called SVJ
data) to constrain cosmological parameters in the
scalar field CDM-RP model. According to the results obtained (see
Figure 45), using the
data, the constraints on the matter density parameter
are more stringent than those on the model parameter
. Constraints on the matter density
are approximately as tight as the ones derived from the galaxy cluster gas mass fraction data [
285] and from the SNe Ia apparent magnitude data [
286].
Chen & Ratra [
287] analyzed constrains on the model parameters of the
CDM-RP, the
XCDM, and the
CDM models, using 13 Hubble parameter
data versus redshift [
28,
212]. The authors showed (see
Figure 46) that the Hubble parameter
data yield quite strong constraints on the parameters of the
CDM model. The constraints derived from the
measurements are almost as restrictive as those implied by the currently available lookback time observations, and the GRB luminosity data, but more stringent than those based on the currently available galaxy cluster angular size data. However, they are less restrictive than those following from the joint analysis of SNe Ia apparent magnitude and BAO peak length scale data. The joint analysis of the Hubble parameter
data with SNe Ia apparent magnitude and BAO peak length scale data favor the standard spatially flat
CDM model but do not exclude the dynamical scalar field
CDM model.
In [
288], Farooq et al. obtained constrains on the parameters of the
CDM-RP, the
XCDM, the
wCDM, and the
CDM models from analysis of measurements of the BAO peak length scale, SNe Ia apparent magnitude [
210], 21 Hubble parameter
[
28,
30,
211,
212]. The results of this analysis are shown in
Figure 47. Constraints are more restrictive with the inclusion of 8 new
measurements [
30] than those derived by Chen & Ratra [
287]. This analysis favors the standard spatially flat
CDM model but does not exclude the scalar field
CDM model.
Farooq & Ratra [
289] worked out constrains on the parameters of the
CDM-RP, the
XCDM, and the
CDM models from measurements of the Hubble parameter
at redshift
[
290] and 21 lower redshift measurements [
28,
30,
211,
212]. Constraints with the inclusion of the new
measurement of Busca et al. are more restrictive than those derived by Farooq et al.,
Figure 48. As seen in this figure, the
constraints depend on the Hubble constant prior to
used in the analysis. The resulting constraints are more stringent than those which follow from measurements of the SNe Ia apparent magnitude of Suzuki et al. (2012). This joint analysis consisting of measurements of
, SNe Ia apparent magnitude, and BAO peak length scale favor the standard spatially flat
CDM model, but the dynamical scalar field
CDM model is not excluded as well.
Farooq & Ratra [
291] found constraints on the parameters of the
CDM-RP model from the compilation of 28 independent measurements of the Hubble parameter
within the range of redshift
. Measurements of
require a currently accelerating cosmological expansion at
confidence level. The authors determined the deceleration-acceleration transition redshift
. This result is in good agreement with the result obtained by Busca et al. [
290], which is
based on 11 measurements of
from BAO peak length scale data within the range of redshift
. The resulting constraints with different priors of
are demonstrated in
Figure 49.
Farooq et al. [
214] analyzed constraints on the parameters of the
spatially flat CDM-RP, the
XCDM, and the
CDM models from a compilation of measurements of the Hubble parameter
. To get this compilation, the authors used weighted mean and median statistics techniques to combine 23 independent lower redshifts
, Hubble parameter
measurements, and define binned forms of them. Then this compilation was combined with 5
measurements at the higher redshifts
. The resulting constraints are shown in
Figure 50. As seen from the figure, the weighted mean binned data are almost identical to those derived from analysis using 28 independent measurements of
. Binned weighted-mean values of
versus redshift data are presented in
Figure 51. These results are consistent with a moment of the deceleration-acceleration transition at redshift
derived by Farooq & Ratra [
291], which corresponds to the standard spatially flat
CDM model.
Chen et al. [
292] used 28 measurements of Hubble parameter
within the redshift range
[
21,
28,
30,
31,
211,
290,
293] to define the value of the Hubble constant
in the
CDM-RP, the
wCDM, and
the spatially flat and spatially non-flat CDM models. The result obtained for the
CDM-RP model is shown in
Figure 52. The value of the Hubble constant
is found as: for the spatially flat and spatially non-flat
CDM model,
and
; for the
wCDM model,
; for the
CDM model,
(at 1
confidence level). The obtained
values are more consistent with the smaller values determined from the recent CMB temperature anisotropy and BAO peak length scale data and with the values derived from the median statistics analysis of Huchra’s compilation of
data.
Farooq et al. [
142] determined constraints on the parameters of the
CDM-RP, the
XCDM, the
wCDM, and the
CDM models in the spatially
flat and spatially
non-flat universe. The authors used the updated compilation of 38 measurements of the Hubble parameter
within the redshift range
[
21,
25,
28,
30,
31,
32,
33,
34,
211,
248]. The result for these constraints is shown in
Figure 53. The authors determined the redshift of the cosmological deceleration-acceleration transition,
, and the value of the Hubble constant
from the
measurements. The determined values of
are insensitive to the chosen model, and depend only on the assumed value of the Hubble constant
. The weighted mean of these measurements is
for
. The authors proposed a model-independent method to determine the value of the Hubble constant
. The
data are consistent with the standard spatially flat
CDM model while do not rule out the spatially non-flat XCDM and spatially non-flat
CDM models.
3.6. Quasar Angular Size Data
Ryan et al. [
143] determined constraints on the parameters of the
spatially flat and spatially non-flat CDM,
XCDM,
CDM-RP models using BAO peak length scale measurements [
22,
24,
25,
26,
248], the Hubble parameter
data [
21,
30,
31,
32,
33,
34,
211], and quasar (QSO) angular size data [
294,
295]. 1
, 2
and 3
confidence level contours constraints on the parameters of the spatially non-flat
CDM model with the RP potential from
, QSO and BAO peak length scale datasets are presented in
Figure 54. Depending on the chosen model and dataset, the observational data slightly favor both the spatially closed hypersurfaces with
at
confidence level, and the dynamical dark energy models over the standard spatially flat
CDM model at a slightly higher than
confidence level. Furthermore, depending on the dataset and the model, the observational data favor a lower Hubble constant value than the one measured by the local data at
confidence level to
confidence level.
Cao et al. [
296] found constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models using
starburst galaxy apparent magnitude measurements [
297,
298], the compilation of 1598 X-ray and UV flux measurements of QSO 2015 data within the redshift range
and 2019 QSO data [
299,
300] only and in conjunction with BAO peak length scale measurements [
22,
24,
25,
26,
248], Hubble parameter
data [
21,
28,
30,
31,
32,
33,
34,
211]. The constraints on the parameters of the spatially flat and spatially non-flat
CDM model with the RP potential obtained from datasets mentioned above are shown in
Figure 55. A combined analysis of all datasets leads to the relatively model-independent and restrictive estimates for the values of matter density parameter at present epoch
and the Hubble constant
. Depending on the cosmological model, these estimates are consistent with a lower value of
in the range of
to
confidence level. Combined datasets favor the spatially flat
CDM, while at the same time do not rule out dynamical dark energy models.
The compilation of 1598 X-ray and UV flux measurements of QSO 2015 data within the redshift range
and 2019 QSO data [
299,
300] only and in conjunction with BAO peak length scale measurements [
22,
24,
25,
26,
248], Hubble parameter
data[
21,
28,
30,
31,
32,
33,
34,
211] was applied by Khadka & Ratra [
145] to impose constraints on the parameters of the
tilted spatially flat and
untilted spatially non-flat CDM,
XCDM, and
CDM-RP quintessential inflation models. Obtained constraints for the untilted spatially non-flat
CDM-RP model from the combination of various datasets and extended QSO data only are presented in
Figure 56. In most of the models, the QSO data favor the values of the matter density parameter
, while in a combined analysis of QSO data with
+ BAO peak length scale dataset, the values of the matter density parameter at present epoch
are shifted slightly towards larger values. A combined set of data QSO + BAO peak length scale +
is consistent with the standard spatially flat
CDM model, but favors slightly both the spatially closed hypersurfaces and the dynamical dark energy models.
Khadka & Ratra [
146] obtained constraints on the parameters of the
tilted spatially flat and
untilted spatially non-flat CDM,
XCDM,
CDM-RP quintessential inflation models from a compilation of 808 X-ray and UV flux measurements of QSOs (quasi-stellar objects) within the redshift range
alone [
299] and in conjunction with BAO peak length scale measurements [
22,
24,
25,
26,
248], Hubble parameter
data [
21,
28,
30,
31,
32,
33,
34,
211]. 1
, 2
and 3
confidence level contours constraints on the parameters of the untilted spatially non-flat
CDM model with the RP potential from the combination of various datasets are presented in
Figure 57. The constraints using only the QSO data are significantly weaker but consistent with those from the combination of the
+ BAO peak length scale data. Combined analysis from QSO +
+ BAO peak length scale data is consistent with the standard spatially flat
CDM model but slightly favors both closed spatial hypersurfaces and the untilted spatially non-flat
CDM model.
Cao et al. [
301] found constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models using the higher-redshift GRB data [
302,
303], starburst galaxy (
G) measurements [
297,
298,
304], and QSO angular size (QSO-AS) data [
294,
295]. Constraints from the combined analysis of cosmological parameters of the spatially flat and non-flat
CDM-RP model are presented in
Figure 58. The constraints from the combined analysis of these datasets are consistent with the currently accelerating cosmological expansion, as well as with the constraints obtained from the analysis of the Hubble parameter
data and the measurements of the BAO peak length scale. From the analysis of the
+ BAO peak length scale + QSO-AS +
G + GRB dataset, the model-independent values of the matter density parameter at present epoch
and the Hubble constant
are obtained. This analysis favors the spatially flat
CDM model but also does not rule out dynamical dark energy models.
Khadka & Ratra [
147] determined constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models from the compilation of X-ray and UV flux measurements of 2038 QSOs which span the redshift range
[
300,
305]. The obtained results are shown in
Figure 59. The authors found that for the full QSO dataset, parameters of the X-ray and UV luminosities
relation used to standardize these QSO data depends on the cosmological model, and therefore cannot be used to constrain the cosmological parameters in these models. Subsets of these QSOs, limited by redshift
, obey the
relation in a way that is independent of the cosmological model and can therefore be used to constrain the cosmological parameters. Constraints from these smaller subsets of lower redshift QSO data are generally consistent, but much weaker than those inferred from the Hubble parameter
and the BAO peak length scale measurements.
Cao et al. [
151] determined constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models by analyzing total of 1383 measurements consisting of 1048 Pantheon SNe Ia apparent magnitude measurements of Scolnic et al. (2018) [
163], and 20 binned SNe Ia apparent magnitude measurements of DES Collaboration [
306,
307], 120 QSO measurements [
299,
300,
305], 153
G data [
297,
298,
304], 11 BAO peak length scale measurements [
22,
24,
25,
26,
248], 31 Hubble parameter
data [
21,
28,
30,
31,
32,
33,
34,
211]. Constraints on the parameters of the spatially non-flat
CDM model with the RP potential from that analysis of the data are shown in
Figure 60. From the analysis of those datasets, the model-independent estimates of the Hubble constant,
, as well as the matter density parameter at the present epoch,
are obtained. While the constraints favor dynamical dark energy and slightly spatially closed hypersurfaces, they do not preclude dark energy from being a cosmological constant and spatially flat hypersurfaces.
Khadka & Ratra [
148] found constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models from 78 reverberation-measured
time-lag QSOs within the redshifs range
[
308,
309]. The authors applied the radius-luminosity or
relation to standardized 78
QSOs data. In each model, the authors simultaneously determined the
relation and parameters in these models, thus avoiding the problem of circularity. It was found that values of the
relation parameter are independent of the model used in the analysis, which makes it possible to establish that current
QSOs data are standardizable candles. Constraints on parameters of the spatially flat and non-flat
CDM-RP models, using
QSO-78 and BAO peak length scale +
data, are shown in
Figure 61. Constraints derived from the QSO data only are significantly weaker than those derived from the combined set of the BAO peak length scale and the Hubble parameter
measurements but are consistent with both of them. The constraints obtained from the
QSOs data in conjunction with the BAO peak length scale +
measurements agree with the spatially flat
CDM model as well as with spatially non-flat dynamical dark energy models.
Khadka & Ratra [
149] found that the recent compilation of the QSO X-ray and UV flux measurements [
305] includes the QSO data that appear to be not standardized via the X-ray luminosity and the UV luminosity
relation parameters that are dependent on both the cosmological model and the redshift, so it should not be used to constrain the model parameters. These data include a compilation of seven different subsamples. The authors analyzed these subgroups, and some combinations of subgroups to define which QSO subgroups are responsible for questions specified in the paper of Khadka & Ratra [
147]. They considered that the largest of the seven sub-samples in this compilation, SDSS-4XMM QSOs, which contribute about
of all QSOs have the
ratios that depend on both the accepted cosmological model and the redshift, and thus are the source of a similar problem found earlier when collecting the full QSO data.
The second and third largest subsamples, SDSS-Chandra and XXL QSOs, which together account for about
of total QSO data, appear to be standardized. Constraints on the cosmological parameters from these subsamples are weak and consistent with the standard spatially flat
CDM model or with the constraints from the better-established cosmological probes. Constraints on the cosmological parameters of the spatially flat and spatially non-flat
CDM models with the RP potential, using SDSS-Chandra, XXL QSO data as well as
data, BAO peak length scale data are presented in
Figure 62.
Khadka et al. [
150] used 118
QSO measurements [
310] within the redshift range
to simultaneously constrain cosmological model parameters and QSO 2-parameter radius-luminosity
relation parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models. The authors found that the
relation parameters for
QSOs data are independent in models under investigation, therefore QSO data seem to be standardizable through
relation parameters. The constraints derived using
QSO data are weak, slightly favoring the currently accelerating cosmological expansion, and are generally in the
tension with the constraints derived from analysis of the measurements of the BAO peak length scale and the Hubble parameter
. Constraints on the cosmological parameters of the spatially flat and non-flat
CDM-RP model, from the
QSO measurements, the
and BAO peak length scale data are presented in
Figure 63.
Khadka et al. [
311] determined constraints on the parameters of the
spatially flat and
spatially non-flat CDM,
XCDM, and
CDM-RP models using the observations of 66 reverberation-measured
QSOs within the redshift range
. Constraints on the cosmological parameters of the spatially flat and spatially non-flat
CDM models with the RP potential from various QSO datasets are shown in
Figure 64. The authors also studied the two- and three-parameter radius-luminosity
relations [
312,
313] for
QSO sources, and found that these relations do not depend on the assumed cosmological model, therefore they can be used to standardize QSO data. The authors found for the two-parameter
relation that the data subsets with low-
and high-
obey the same
relation within the error bars. Extending the two-parameter
relation to three parameters does not lead to the expected decrease in the intrinsic variance of the
relation. None of the three-parameter
relations provides a significantly better measurement fit than the two-parameter
relation. The results obtained differ significantly from those found by Khadka et al. [
150] from analysis of reverberation-measured
QSOs.
Cao et al. [
153] determined constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM,
CDM-RP models, as well as on the QSO radius-luminosity
relation parameters from the 38
QSO reverberation-measured data in the redshift range
. An improved method is used that takes into account more accurately the asymmetric error bars for the time-delay measurements. The authors found that the parameters of the
relation do not depend on the cosmological models considered, and therefore, the
relation can be used to standardize the
QSO data. Mutually consistent constraints on the cosmological parameters from
,
and
+ BAO peak length scale data allow conducting the analysis from
+
dataset as well as from the
+ BAO peak length scale +
+
datasets. Although the
+
cosmological constraints are weak, they slightly (at
confidence level) change the constraints from the
+ BAO peak length scale +
+
datasets. The constraints on the cosmological parameters of the spatially flat and non-flat
CDM-RP from various QSO datasets are shown in
Figure 65.
3.7. Gamma Ray Burst Distances Data
Samushia & Ratra [
314] derived constraints on the parameters of the
spatially flat CDM,
XCDM, and
CDM-RP models using the observational datasets of SNe Ia Union apparent magnitude data [
315], BAO peak length scale data [
17], measurements of gamma-ray burst (GRB) distances [
316,
317]. The authors applied two methods for analyzing the GRB data fitting luminosity relation of GRB, Wang’s method [
317] and Schaefer’s method [
316]. The constraints on the cosmological parameters of the
CDM model from analysis of the SNe Ia Union apparent magnitude data and the BAO peak length scale measurements, with and without the GRB measurements are presented in
Figure 66. The constraints from the GRB data obtained by two different methods disagree with each other at more than 2
confidence level. The cosmological parameters of the
CDM model could not be tightly constrained only by the current GRB data.
Khadka & Ratra [
318] performed an analysis of constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models from measurements of the peak photon energy and bolometric fluence of 119 GRBs extending over the redshift range of
[
302,
303], and Amati relation parameters [
319], BAO peak length scale measurements [
22,
24,
25,
26,
248], Hubble parameter
data [
21,
28,
30,
31,
32,
33,
34,
211]. Resulting constraints on the parameters of the spatially flat and spatially non-flat
CDM model with the RP potential are presented in
Figure 67.
The Amati relation between the peak photon energy of the GRB in the cosmological rest frame,
and
is given as
where
a and
b are free parameters defined from data, representing points of intersection and slope in the Amati relation, respectively.
and
are specified as
where
is the luminosity distance,
p is a cosmological parameter,
is the measured bolometric fluence,
is the measured peak energy of the GRB.
The resulting Amati relation parameters are almost identical in all considered cosmological models, which confirms the use of the Amati relation parameters to standardize these GRBs data. The constraints on the cosmological parameters of the models under consideration from the GRB data are consistent with the constraints obtained from the analysis of the BAO peak length scale and the measurements of the Hubble parameter but are less restrictive.
Khadka et al. [
320] analyzed constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models from the GRB data. The authors considered eight different GRB datasets to test whether the current GRB measurements, which probe a largely unexplored range of cosmological redshifts, can be used to reliably constrain the parameters of these models. The authors applied the MCMC analysis implemented in Monte Python to find the most appropriate correlations and cosmological parameters for the eight GRB samples, with and without the BAO peak length scale and the
data.
They applied three Amati correlation samples [
319] and five Combo correlation samples [
321] to obtain correlations and constraints on the model parameters. Constraints on the parameters of the
spatially non-flat CDM-RP model, using various datasets of GRB, as well as the BAO peak length scale +
data, are shown in
Figure 68. The authors found that the cosmological constraints, determined from the A118 sample consisting of 118 bursts, agree but are much weaker than those following from the BAO peak length scale and the
data. These constraints are consistent with the spatially-flat
CDM as well as with the spatially non-flat dynamical dark energy models.
Cao et al. [
152] applied the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models in the analysis of the three (ML, MS, and GL) (
) Dianotti-correlated sets of GRB measurements collected by Wang et al. [
322] and Hu et al. [
323] that together explore the redshift range
. The authors found that each dataset, as well as the combinations of MS + GL, ML + GL, and ML + MS, obey the cosmological model-independent Dainotti correlations [
324,
325,
326]) and therefore are standardized. The luminosity of the plateau phase for GRBs that obey the Dainotti correlation is defined as
here
is the GRB X-ray flux,
is the spectral index in the plateau phase, and
is the luminosity distance.
The authors applied these GRB data in combination with the best currently available Amati-correlated GRB data of Amati [
319] that explore the redshift range
to constrain the cosmological model parameters. As a result, constraints are weak, providing lower bounds on the matter density parameter at present epoch
, moderately favoring the non-zero spatial curvature, and largely consistent with both the currently accelerated cosmological expansion and with constraints determined on the basis of more reliable data. Constraints of cosmological parameters of the
spatially flat and
non-flat CDM-RP model, using the Dianotti-correlated sets of the GRB measurements as well as the
and BAO peak length scale data are presented in
Figure 69.
Cao et al. [
154] used the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models to analyze compilation of data from 50 Platinum GRB within the redshift range
. The authors found that these data obey the three-parameter fundamental plane or Dainotti correlation, independent of the cosmological model, and therefore they are amenable to standardization and can be used to constrain cosmological parameters. To improve the accuracy of the constraints for the GRBs data only, the authors excluded ordinary GRB data from the larger Amati-correlated A118 dataset of 118 GRBs and analyzed the remaining 101 Amati-correlated GRBs with 50 Platinum GRB datasets. This joint dataset of 151 GRBs is being investigated within the little-studied redshift range
. Due to the consistency of cosmological constraints from the platinum GRB data with the
+ BAO peak length scale dataset, the authors combined platinum GRB and the
+ BAO peak length scale data to carry out the analysis and found small changes in the cosmological parameter constraints compared to the constraints from the
+ BAO peak length scale data. The resulting constraints from the GRBs only are more stringent than those from the
+ BAO peak length scale dataset but are less precise. The constraints on the cosmological parameters of the spatially flat and spatially non-flat
CDM model with the RP potential, using platinum GRB measurements along with the
and BAO peak length scale data are presented in
Figure 70.
Cao et al. [
155] proposed the constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models, using the extended set of the GRB data including the 50 platinum GRBs within the redshift range
by Dainotti et al. [
327], the LGRB95 data that contains 95 long GRBs measurements within the redshift range
by Dainotti et al. [
327]. The compilation of the 145 GRB data sets was also used. The constraints on the cosmological parameters of the spatially flat and spatially non-flat
CDM model with the RP potential, using various GRB datasets are shown in
Figure 71. The authors also examined which of two correlations, the two-dimensional Dainotti correlation [
328] or the three-dimensional Dainotti correlation [
329,
330], fits better the GRB datasets. Based on the results of
,
, and Deviation Information Criterion (
) analysis, the authors found that the three-dimensional Danotti correlation is much more preferable than the two-dimensional one for the GRB datasets.
3.8. Starburst Galaxy Data
Mania & Ratra [
331] analyzed constraints on the parameters of the
CDM-RP, the
XCDM, and
the CDM models from the
starburst galaxy apparent magnitude versus redshift data of Siegel et al. [
332]. The authors followed the Percival et al. [
213] procedure to obtain these constraints. The results are demonstrated in
Figure 72. These constraints are largely consistent but not as restrictive as those derived from the measurements of the BAO peak length scale, the SNe Ia apparent magnitude, and the CMB temperature anisotropy.
Cao et al. [
333] derived constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models from the compilation of the
starburst galaxy (
G) data of Gonz
lez-Mor
n et al. [
304] and the
G data of Gonz
lez-Mor
n et al. [
334]. The authors tested the model independence of the QSO angular size measurements. They found that the new compilation of 2019
G data provides tighter constraints and favors lower values of the cosmological parameters than those from the 2019
G data. The use of QSO measurements gives model-independent constraints on the characteristic linear size
of QSO within a sample. Analysis of the data of the
, BAO peak length scale, the SNe Ia apparent magnitude-Pantheon, the SNe Ia apparent magnitude-DES, QSO, and the latest compilation of the
G data provides almost model-independent estimates of the Hubble constant, the matter density parameter at the present epoch, and the characteristic linear size, respectively, as
,
, and
pc. Constraints on the parameters of the spatially non-flat
CDM model with RP potential from various combinations of the
G, QSO, BAO peak length scale, and the
datasets, are shown in
Figure 73.
Cao & Ratra [
156] performed analysis of constraints on the parameters of the
spatially flat and
non-flat CDM,
XCDM, and
CDM-RP models from joint datasets consisting of data of the updated 32
Hubble parameter, 12 BAO peak length scale, 1048 Pantheon SNe Ia apparent magnitudes, 20 binned DES-3yr SNe Ia apparent magnitudes, 120 QSO-AS and 78
reverberation-measured QSO, 181
starburst galaxy, and 50 Platinum Amati-correlated GRB. As a result, the authors found that constraints from each dataset are mutually consistent. There is a slight difference between constraints determined from the set QSO-AS +
G +
QSO + A118 data and those from QSO-AS +
G +
QSO + Platinum + A101 data, so the authors considered only the cosmological constraints from the joint dataset
+ BAO peak length scale + SNe Ia apparent magnitudes + QSO-AS +
G +
QSO + A118 (HzBSNQHMA). The model-independent value of the Hubble constant
, and the matter density parameter at present epoch,
obtained by using the HzBSNQHMA dataset. The obtained value of the constraint for
lies in the middle of the spatially flat
CDM model result of Planck Collaboration 2018 of Aghanim et al. [
13] and the local expansion rate
result of Riess et al. [
335], a bit closer to the former. Based on the
analysis, the spatially flat
CDM model is the most preferable, but both dynamic dark energy models and space curvature are not ruled out. Constraints on the cosmological parameters of the spatially flat and non-flat
CDM-RP model, from various datasets, are shown in
Figure 74.
3.9. X-Ray Gas Mass Fraction of Clusters Data
Using Chandra measurements of X-ray gas mass fraction of 26 rich clusters obtained by Allen et al. [
336], Chen & Ratra [
285] constrained the parameters of the
CDM-RP,
CDM, and the
XCDM models. Resulting constraints are consistent with those derived from other cosmological tests but favor more the spatially flat
CDM model,
Figure 75. Constraints on the parameters of the
CDM model are tighter than those derived from the SNe Ia apparent magnitude data of Podariu & Ratra [
193], Waga & Frieman [
337], redshift-angular size data of Chen & Ratra [
338], Podariu et al. [
339], gravitational lensing statistics of Chae et al. [
340],
Figure 75 (Left panel).
Wilson et al. [
286] used the R04 gold SNe Ia apparent magnitude versus the redshift data of Riess et al. [
162], and X-ray gas mass fraction of clusters data of Allen et al. [
336] to constrain the
CDM-RP model; the results are given in
Figure 76. According to these results, the standard spatially flat
CDM model is more preferable, but the
CDM model is not ruled out either. The contours obtained from joint R04 gold SNe Ia apparent magnitude data and galaxy cluster gas mass fraction data are tighter constrained than those obtained by Podariu & Ratra [
193] from earlier SNe Ia apparent magnitude versus redshift data.
Constraints on the model parameters
and
of the
wCDM model using the X-ray temperature data of massive galaxy clusters within the redshift range
with massive galaxy clusters (
within a comoving radius of
), were determined by Campanelli et al. [
341]. The results are presented in
Figure 77. Current data on massive clusters weakly constrain
and
parameters around the
values corresponding to the
CDM model. In the analysis including data from the galaxy cluster number count, Hubble parameter
, CMB temperature anisotropy, BAO peak length scale, and the SNe Ia apparent magnitude, the values of
and
were obtained at
confidence level.
Chen and Ratra [
342] applied angular size versus redshift measurements for galaxy clusters from Bonamente et al. [
343] to constraint parameters of the
CDM-RP, the
XCDM, and the
CDM models. X-ray observations of the intracluster medium in combination with radio observations of the Sunyaev-Zel’dovich effect of galaxy clusters make it possible to estimate the distance from the angular diameter
of galaxy clusters. The authors applied the 38 angular diameter distance measurements of Bonamente et al. (2006) to constrain cosmological parameters of the models presented above. The results are demonstrated in
Figure 78. The analysis of the angular size measurements along with the more restrictive BAO peak length scale data and the SNe Ia apparent magnitude measurements favors the spatially flat
CDM model but does not exclude the
CDM model.