1. Introduction
The late-time acceleration of the universe, first evidenced by observations of Type Ia Supernovae at the end of the 20th century [
1,
2], remains one of the most profound puzzles in modern cosmology. The standard cosmological model, known as the
CDM model, provides a remarkably consistent fit to a wide range of observations, e.g., [
3]. However, it is plagued by deep theoretical issues, most notably the cosmological constant problem [
4], and the “cosmic coincidence” problem [
5].
To address these shortcomings, various dynamical dark energy models have been proposed. Among these, scalar field theories such as quintessence [
6,
7], k-essence [
8], and phantom fields [
9] offer a flexible framework where the energy density of the vacuum can evolve over cosmic time. In these models, the acceleration is typically driven by a minimally coupled scalar field
rolling down a potential
, providing a more natural explanation for the observed expansion dynamics than a static constant [
10,
11].
Parallel to these theoretical developments, model-independent reconstruction methods have gained significant attention. These methods aim to extract information about the expansion of the universe directly from observational data without assuming a specific dark energy fluid [
12]. A common strategy is kinematic reconstruction via the parametrization of the deceleration parameter
, which describes the rate of change of the Hubble expansion [
13,
14].
In this paper, we use a logarithmic parametrization of the deceleration parameter:
. This specific functional form is motivated by its ability to provide high theoretical tractability, allowing fundamental quantities such as the Hubble parameter
and the scalar potential
to be expressed in closed analytical forms. Such mathematical convenience is essential for performing robust statistical analyses against recent datasets, including the Pantheon+ Supernovae sample [
15], Cosmic Chronometers, and Baryon Acoustic Oscillations (BAO) [
16]. Furthermore, this approach allows us to investigate the transition redshift (
) and address the persistent “Hubble tension”—the discrepancy between local measurements and CMB-based predictions of
[
17,
18].
2. Theoretical Framework
We consider a spatially flat, homogeneous, and isotropic universe described by the Friedmann–Lemaître–Robertson–Walker (FLRW) metric:
where
is the cosmic scale factor. In the framework of General Relativity, the dynamics of such a universe are governed by the Einstein Field Equation
, where
. In our model, the total energy-momentum tensor
accounts for both non-relativistic matter (baryonic and dark matter) and a minimally coupled canonical scalar field
, representing the dark energy component [
6].
The action for the scalar field is given by
where
is the scalar potential. For a homogeneous field
, the energy density
and pressure
are defined as
The evolution of the universe is then determined by the Friedmann equations:
where
is the Hubble parameter and
is the matter density following the conservation law
.
The scalar field’s dynamics are further governed by the Klein–Gordon equation,
, which ensures the conservation of the dark energy sector. By relating the kinematic deceleration parameter
to these field equations, we can reconstruct the scalar potential
and the field’s kinetic energy as functions of redshift [
10]. This mapping is essential for understanding how the proposed logarithmic expansion history translates into a physical potential responsible for the observed cosmic acceleration.
3. Logarithmic Parametrization
The core of our model-independent approach lies in the functional form of the deceleration parameter
. While many studies utilize linear or Taylor expansions of
in terms of the scale factor or redshift [
13,
14], such forms can sometimes lead to divergences at high redshifts or lack analytical solutions for the Hubble parameter. To overcome these limitations, we propose a logarithmic ansatz:
where
represents the present value of the deceleration parameter (
), and
characterizes its evolution over cosmic time. This specific parametrization is physically motivated by its slow-varying nature at higher redshifts compared to power-law models, providing a more stable reconstruction of the expansion history [
12].
The primary advantage of this logarithmic form is that it allows for an exact integration of the relation between the Hubble parameter and the deceleration parameter, defined as
. Substituting our ansatz into this integral yields a closed-form analytical expression for the Hubble parameter:
This explicit dependency is crucial for deriving the scalar field potential
and the kinetic energy
without numerical approximations. Furthermore, the transition from the past decelerated phase (
) to the current accelerated epoch (
) is easily identified by setting
, which leads to the simple relation
This analytical clarity not only simplifies the MCMC likelihood calculations but also provides a transparent mapping between the kinematic expansion and the underlying scalar field dynamics.
4. Observational Data and Statistical Analysis
To determine the optimal values for the free parameters of our logarithmic model (
), we employ a robust Bayesian inference framework. We perform a combined
minimization using Markov Chain Monte Carlo (MCMC) simulations, which allow for a full exploration of the parameter space and the identification of degeneracies between variables. The total likelihood function is defined as
, where the total
is the sum of the contributions from each independent dataset:
The individual components of the observational suite are described as follows:
Cosmic Chronometers (CCs): We utilize a sample of 31 measurements of the Hubble parameter
obtained through the differential aging method of passively evolving galaxies [
19]. Unlike distance-based probes, CC data provide a direct measurement of
without assuming a fiducial cosmological model, making them ideal for model-independent reconstructions.
Standard Candles (SCs): We incorporate the Pantheon+ compilation, which consists of 1701 light curves from Type Ia Supernovae (SNe Ia) spanning the redshift range
[
15].
Baryon Acoustic Oscillations (BAOs): To capture the large-scale structure signals, we include BAO distance measurements from various surveys, including the 6dFGS, SDSS, and extended Baryon Oscillation Spectroscopic Survey (eBOSS) [
16].
R19 Prior: Given the ongoing tension in the measurement of the Hubble constant, we include a Gaussian prior on
based on the SH0ES collaboration’s local distance ladder results (
km/s/Mpc) [
17].
By combining these complementary probes (TotR: CC + SC + BAO + R19), we significantly reduce the statistical uncertainties and break the parameter degeneracies inherent in single-dataset analyses, leading to the high-precision constraints presented in the subsequent section.
5. Results and Discussion
The joint MCMC analysis, utilizing the integrated observational suite (CC + SC + BAO + R19), provides tight constraints on the model’s free parameters. The marginalized posterior distributions and the corresponding
and
confidence contours demonstrate a well-converged parameter space. From this statistical analysis, the best-fit value for the Hubble constant is found to be
km/s/Mpc, while the present-day deceleration parameter is constrained to
. Additionally, the evolution parameter is determined as
. These results signify a robust reconstruction of the cosmic expansion history. Specifically, the negative value of
confirms that the universe is currently undergoing an accelerated expansion phase, which is consistent with the latest SNe Ia observations [
15].
One of the most significant outcomes of our logarithmic parametrization is the precise determination of the transition redshift. By solving the condition
, we find
. This value indicates that the universe transitioned from a decelerating, matter-dominated phase to its current accelerating epoch approximately 6–7 billion years ago. This result is in excellent agreement with standard
CDM predictions and recent model-independent studies, which typically place
in the range
[
14,
20].
The obtained value of
km/s/Mpc is of particular interest in the context of the “Hubble tension”. This value sits comfortably between the low
values derived from CMB data (
km/s/Mpc) [
3] and the higher local measurements from the SH0ES collaboration (
km/s/Mpc) [
17]. By yielding an intermediate value, our logarithmic scalar field model provides a viable theoretical pathway to alleviate the persistent discrepancy between early- and late-time observations such as the persistent
tension [
18].
The reconstructed physical quantities, such as the dimensionless energy density and the pressure , confirm the physical viability of the model. The scalar field potential and the kinetic energy term are consistently positive, ensuring that the model does not violate basic energy conditions. Furthermore, the equation of state parameter exhibits dynamic behavior.
6. Conclusions
In this study, we have presented a comprehensive reconstruction of the late-time cosmic expansion history using a novel logarithmic parametrization of the deceleration parameter, . By working within the framework of Scalar Field Cosmology under General Relativity, we have demonstrated that this specific functional form serves as a robust and analytically tractable tool for exploring dark energy dynamics. Our conclusions are summarized as follows:
Looking ahead, we plan to extend this research by incorporating data from future high-precision surveys such as Euclid and DESI. Furthermore, analyzing the evolution of cosmic perturbations within this logarithmic framework will be essential to test its performance at the level of structure formation and to further validate its viability against the standard cosmological paradigm.
Author Contributions
Conceptualization, D.S. and B.K.S.; methodology, D.S. and B.K.S.; software and data curation, B.K.S.; formal analysis, B.K.S.; investigation, D.S., B.K.S. and A.B.; resources, D.S., B.K.S. and A.B.; writing—original draft preparation, D.S.; writing—review and editing, B.K.S. and A.B.; visualization, B.K.S.; supervision, A.B.; project administration, B.K.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Publicly available datasets were analyzed in this study. The CC, Pantheon+, and BAO data can be found in the cited references.
Acknowledgments
The authors have reviewed and edited the output and take full responsibility for the content of this publication.
Conflicts of Interest
The authors declare no conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| CDM | Lambda Cold Dark Matter |
| CC | Cosmic Chronometer |
| SNe Ia | Type Ia Supernovae |
| BAO | Baryon Acoustic Oscillation |
| MCMC | Markov Chain Monte Carlo |
| FLRW | Friedmann–Lemaître–Robertson–Walker |
| CMB | Cosmic Microwave Background |
| LSS | Large-Scale Structure |
| eBOSS | Extended Baryon Oscillation Spectroscopic Survey |
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