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DESI Constraints on Exponential Quintessence

Omar F. Ramadan [email protected] Department of Physics &\& Astronomy, University of Hawai‘i, Watanabe Hall, 2505 Correa Road, Honolulu, HI, 96822, USA    Jeremy Sakstein [email protected] Department of Physics &\& Astronomy, University of Hawai‘i, Watanabe Hall, 2505 Correa Road, Honolulu, HI, 96822, USA    David Rubin [email protected] Department of Physics &\& Astronomy, University of Hawai‘i, Watanabe Hall, 2505 Correa Road, Honolulu, HI, 96822, USA
Abstract

The DESI collaboration have recently analyzed their first year of data, finding a preference for thawing dark energy scenarios when using parameterized equations of state for dark energy. We investigate whether this preference persists when the data is analyzed within the context of a well-studied field theory model of thawing dark energy, exponential quintessence. No preference for this model over Λ\LambdaCDM is found, and both models are poorer fits to the data than the Chevallier-Polarski-Linder w0w_{0}waw_{a} parameterization. We demonstrate that the worse fit is due to a lack of sharp features in the potential that results in a slowly-evolving dark energy equation of state that does not have enough freedom to simultaneously fit the combination of the supernovae, DESI, and cosmic microwave background data. Our analysis provides guidance for constructing dynamical dark energy models that are able to better accommodate the data.

The origin of the present day acceleration of the cosmic expansion, dark energy (DE), remains a mystery, even after a quarter of a century of research. Previously, all observations were compatible with dark energy driven by a cosmological constant Λ\Lambda, but this has recently been challenged by the DESI first year data release [1], which, when analyzed in combination with the Planck and ACT cosmic microwave background (CMB) measurements and Type Ia supernovae data, either PantheonPlus [2], Union3 [3], or DESY5 [4], shows a preference for thawing dark energy at the level of 2.5σ2.5\sigma, 3.5σ3.5\sigma, and 3.9σ3.9\sigma respectively. In this scenario, the equation of state (EOS) of dark energy w(z)w(z) was frozen at a constant value in the past but recently began to evolve away from this, in contrast to Λ\Lambda which has constant w(z)=1w(z)=-1. The thawing DE preference manifests when the data is fit to the Chevallier-Polarski-Linder w0w_{0}waw_{a} parameterization [5, 6], which is a phenomenological relation:

w(z)=w0+waz1+zw(z)=w_{0}+w_{a}\frac{z}{1+z} (1)

with w0w_{0} and waw_{a} free parameters that are fit to the data. DESI report w0=0.727±0.067w_{0}=-0.727\pm 0.067 and wa=1.050.27+0.31w_{a}=-1.05^{+0.31}_{-0.27} using CMB+DESI+DESY5 datasets.

While parameterizations such as (1)\eqref{eq:CPL} are helpful for characterizing the data and as consistency tests of the null Λ\LambdaCDM hypothesis, they do not provide any interpretation of data within the context of fundamental physics, motivating investigations of the degree to which competing microphysical models of dark energy can accommodate the data. In this work, we explore the implications of the first DESI data release for a quintessence model of thawing dark energy, exponential quintessence.

In quintessence models [7, 8, 9, 10, 11], dark energy is driven by a scalar field ϕ\phi with mass mm that is initially frozen at its initial condition by Hubble friction so that w=1w=-1 but begins to roll sometime in the recent past when HmH\sim m. This rolling causes the EOS to deviate from 1-1 with w1w\geq-1. The specific action we consider is

S=d4xg[MPl22R(g)12μϕμϕV(ϕ)]S=\int\mathrm{d}^{4}x\sqrt{-g}\left[\frac{M_{\rm Pl}^{2}}{2}R(g)-\frac{1}{2}\partial_{\mu}\phi\partial^{\mu}\phi-V(\phi)\right] (2)

where matter is minimally coupled to the metric gμνg_{\mu\nu} and MPl2=(8πG)1M_{\rm Pl}^{2}=(8\pi G)^{-1} is the reduced Planck mass. In a Friedmann-Lemaître-Robertson-Walker (FLRW) universe, the scalar behaves as a perfect fluid with density parameter and equation of state

wϕ\displaystyle w_{\phi} =ϕ˙22V(ϕ)ϕ˙2+2V(ϕ)\displaystyle=\frac{\dot{\phi}^{2}-2V(\phi)}{\dot{\phi}^{2}+2V(\phi)} (3)
Ωϕ\displaystyle\Omega_{\phi} =ϕ˙26H2MPl2+V(ϕ)3H2MPl2.\displaystyle=\frac{\dot{\phi}^{2}}{6H^{2}M_{\rm Pl}^{2}}+\frac{V(\phi)}{3H^{2}M_{\rm Pl}^{2}}. (4)

The evolution of the scalar is determined by the Klein-Gordon equation

ϕ¨+3Hϕ˙+dVdϕ=0.\ddot{\phi}+3H\dot{\phi}+\frac{\mathrm{d}V}{\mathrm{d}\phi}=0. (5)

Equations (3)–(5) elucidate how quintessence fields can behave as thawing dark energy. At early times, when z1z\gg 1, the field has initial condition ϕ=ϕi\phi=\phi_{i} with mass m2=V′′(ϕi)m^{2}=V^{\prime\prime}(\phi_{i}). Provided that mHm\ll H, the friction term (3Hϕ˙H2ϕ)(3H\dot{\phi}\sim H^{2}\phi) will dominate over the restoring term (V(ϕ)m2ϕ)(V^{\prime}(\phi)\sim m^{2}\phi) and the field will be frozen at ϕi\phi_{i}. According to (3) and (4), the field behaves a cosmological constant with EOS wϕ1w_{\phi}\approx-1. As the universe expands, HH decreases, reaching HmH\sim m around z1z\sim 1. At this point, the field begins to roll or thaw, gaining kinetic energy so that wϕ>1w_{\phi}>-1. The current phase of dark energy corresponds to the scalar slowly-rolling down its potential.

The phenomenology of quintessence DE depends upon the choice of potential. In this work, we will study the exponential quintessence model

V(ϕ)=V0eλϕMPl,V(\phi)=V_{0}e^{-\lambda\frac{\phi}{M_{\rm Pl}}}, (6)

an archetypal potential that arises generically in beyond the Standard Model theories such as string theory and supergravity [12, 13, 14]. Despite the non-linearity of equation (5) and the Fridemann equations, the solution space of exponential quintessence is well-understood because the equations can be written in an autonomous form, implying that dynamical systems methods can be used to identify the steady-state solutions [9, 10, 11, 15]. The system of equations admits a dark energy dominated global attractor with Ωϕ=1\Omega_{\phi}=1 and

wϕ=1+λ23w_{\phi}=-1+\frac{\lambda^{2}}{3} (7)

provided that λ<3\lambda<\sqrt{3}. The thawing DE scenario can then be realized within this potential as follows. At early times, the field is frozen such that wϕ1w_{\phi}\approx-1 but the field thaws and begins to roll to this attractor at z1z\sim 1. The current phase of thawing DE corresponds to the approach to this attractor. The attractor cannot be reached at the present day because this would imply a DE-dominated universe in conflict with observations, and would not match the DESI predictions because ww is constant at the attractor. This introduces some sensitivity to the initial conditions.

We now test this scenario against the DESI data by fitting it to the combination of CMB+DESI+Union3. The CMB data include Planck 2018 CMB spectra [16], CMB gravitational lensing from a combination of Planck 2020 lensing [17, 18] and ACT DR6 [19, 20]. This is the same combination of data used by DESI. We implemented the exponential potential into CLASS [21, 22] to evolve the cosmology and used the Cobaya [23] framework to sample using the Markov Chain Monte Carlo (MCMC) [24, 25] algorithm. Convergence was deemed to be achieved when the standard Gelman-Rubin criteria R1<0.01R-1<0.01 [26] was met. To analyze our chains and plotting, we made use of GetDist [27]. The initial conditions were chosen using the following considerations. For the initial field, ϕi\phi_{i}, we made use of a symmetry of the model: ϕϕ+ϕ0\phi\rightarrow\phi+\phi_{0}, V0V0exp(λϕ0/MPl)V_{0}\rightarrow V_{0}\exp({\lambda{\phi_{0}}/{M_{\rm Pl}}}) where ϕ0\phi_{0} is a constant, which allowed us to fix ϕi\phi_{i} to an arbitrary value without loss of generality. We chose ϕi=4.583MPl\phi_{i}=-4.583M_{\rm Pl}. For the initial field velocity ϕ˙i\dot{\phi}_{i}, we used attractor initial conditions. At early times, the field is approximately frozen so we assumed slow-roll and set ϕ¨=0\ddot{\phi}=0 in Eq. (5) yielding ϕi˙=λV03Hiexp(λϕi/MPl)\dot{\phi_{i}}=\frac{\lambda V_{0}}{3H_{i}}\exp({-\lambda{\phi_{i}}/{M_{\rm Pl}}}). We modified CLASS to shoot for V0V_{0} such that V0=3H02MPl2ΩϕV_{0}=3H_{0}^{2}M_{\rm Pl}^{2}\Omega_{\phi} in order to close the universe. We also fit the w0w_{0}waw_{a} parameterization to the same data.

Parameter & Model Flat 𝚲\boldsymbol{\Lambda}CDM 𝒘𝒂𝒘𝒂\boldsymbol{w_{a}w_{a}}CDM 𝒘ϕ\boldsymbol{w_{\phi}}CDM
Sampled Parameters
log(1010As)\log(10^{10}A_{\mathrm{s}}) 3.053(3.059)0.014+0.0133.053(3.059)^{+0.013}_{-0.014} 3.040(3.040)±0.0133.040(3.040)\pm 0.013 3.056(3.051)±0.0133.056(3.051)\pm 0.013
nsn_{\mathrm{s}} 0.9681(0.9688)±0.00360.9681(0.9688)\pm 0.0036 0.9657(0.9668)±0.00380.9657(0.9668)\pm 0.0038 0.9691(0.9692)±0.00370.9691(0.9692)\pm 0.0037
Ωbh2\Omega_{b}h^{2} 0.02245(0.02247)±0.000130.02245(0.02247)\pm 0.00013 0.02238(0.02242)±0.000140.02238(0.02242)\pm 0.00014 0.02248(0.02249)±0.000140.02248(0.02249)\pm 0.00014
Ωch2\Omega_{c}h^{2} 0.11876(0.11856)±0.000840.11876(0.11856)\pm 0.00084 0.11968(0.11982)±0.000970.11968(0.11982)\pm 0.00097 0.11840(0.11839)±0.000890.11840(0.11839)\pm 0.00089
100θ100\theta_{*} 1.04199(1.04193)±0.000281.04199(1.04193)\pm 0.00028 1.04187(1.04185)±0.000291.04187(1.04185)\pm 0.00029 1.04202(1.04199)±0.000291.04202(1.04199)\pm 0.00029
τreio\tau_{\mathrm{reio}} 0.0590(0.0614)±0.00710.0590(0.0614)\pm 0.0071 0.0526(0.0529)±0.00720.0526(0.0529)\pm 0.0072 0.0608(0.0588)0.0084+0.00700.0608(0.0588)^{+0.0070}_{-0.0084}
w0w_{0} \cdots 0.656(0.679)±0.099-0.656(-0.679)\pm 0.099 \cdots
waw_{a} \cdots 1.22(1.14)0.34+0.42-1.22(-1.14)^{+0.42}_{-0.34} \cdots
λ\lambda \cdots \cdots 0.60(0.74)0.27+0.380.60(0.74)^{+0.38}_{-0.27}
Derived Parameters
H0[km/s/Mpc]H_{0}\left[\text{km/s/Mpc}\right] 67.92(67.98)±0.3967.92(67.98)\pm 0.39 66.52(66.61)±0.9466.52(66.61)\pm 0.94 66.92(66.613)0.77+0.9966.92(66.613)^{+0.99}_{-0.77}
Ωm\Omega_{m} 0.3075(0.3065)±0.00510.3075(0.3065)\pm 0.0051 0.3227(0.3221)±0.00950.3227(0.3221)\pm 0.0095 0.3162(0.3189)0.010+0.00700.3162(0.3189)^{+0.0070}_{-0.010}
wϕw_{\phi} \cdots \cdots 0.936(0.919)0.064+0.038-0.936(-0.919)^{+0.038}_{-0.064}
𝝌𝟐\boldsymbol{\chi^{2}} statistics
χbf2(Δ)\chi^{2}_{\rm bf}(\Delta) 2835.452835.45 2822.10(13.5)2822.10(-13.5) 2832.87(2.58)2832.87(-2.58)
χbf2/DoF\chi^{2}_{\rm bf}/{\rm DoF} 1.211.21 1.211.21 1.211.21
Tension Level \cdots 3.02σ3.02\sigma 1.24σ(n.s.)1.24\sigma(\text{n.s.})
Table 1: Marginalized posteriors for flat Λ\LambdaCDM, w0waw_{0}w_{a}CDM, and quintessence models using CMB+DESI+Union3 datasets, showing the mean (best-fit) and the 68%68\% confidence interval where the Λ\LambdaCDM parameters share the same prior across models. We also show the best-fitting χbf2(Δ)\chi^{2}_{bf}(\Delta), where Δ=χbf,model2χbf,ΛCDM2\Delta=\chi^{2}_{\rm bf,model}-\chi^{2}_{\rm bf,\Lambda\text{CDM}} represents the difference between the best-fitting χ2\chi^{2} values with respect to Λ\LambdaCDM. The level of tension with Λ\LambdaCDM are reported in the final row with “n.s.” indicating an insignificant tension.

Our results are given in table 1, with 2D contours and marginalized posteriors shown in Figure 2. We reproduce the DESI result that the data prefer w0w_{0}waw_{a} over Λ\LambdaCDM at 3σ\sim 3\sigma, but find no statistically significant preference for exponential quintessence. We therefore conclude that both Λ\LambdaCDM and exponential quintessence are disfavored compared with w0w_{0}waw_{a}.

Refer to caption
Figure 1: The equation of state for the best-fitting exponential quintessence model (wϕw_{\phi}, black) and the CLP parameterization (red). The dashed line corresponds to the Λ\LambdaCDM model with wΛ=1w_{\Lambda}=-1, and the dotted line represents w0+waw_{0}+w_{a}, which is the asymptotic EOS for the CLP parameterization for z0z\gg 0. We also show the marginalized posteriors for the EOS today for both models with the combination of CMB+DESI+Union3 datasets at the 68%68\% level.

The reason for this can be seen in figure 1 where we plot w(z)w(z) for the best-fitting w0w_{0}waw_{a} and exponential quintessence models. Both models have w(z)>1w(z)>-1 at the present time and decreasing towards more negative values in the past, but the w0w_{0}waw_{a} model is able to reach w=1w=-1 in a shorter time. As discussed by DESI [1] and further investigated by [28], the DESI preference for thawing dark energy is driven by low-redshift anomalies in the supernovae and DESI BAO data. The higher redshift DESI points are consistent with Λ\LambdaCDM. w0w_{0}waw_{a} accommodates this by having w0>1w_{0}>-1 and a large negative value of waw_{a} to ensure a rapid return w1w\approx-1. The increasingly negative values at larger redshifts are not problematic because DE is subdominant at this time and the model behaves similarly to Λ\LambdaCDM. In contrast, the EOS for the exponential model varies less rapidly because the field is slowly-rolling. The EOS only tends to w=1w=-1 at higher redshifts when DE is sub-dominant, so the model is unable to accommodate each data point as well. This suggests that quintessence potentials with sharper features e.g., hill-top or plateau models may be able to better-fit the data because they allow for more rapid variations in w(z)w(z) around the onset of DE. Indeed, reference [29] drew an identical conclusion using a different method where they determined an equivalent w0w_{0}-waw_{a} parameterization for three classes of quintessence models, finding that exponential models lie outside the DESI 1σ1\sigma contours but that hill-top and plateau models are compatible.

Interpreting the data to identify the microphysics of dark energy remains a paramount goal of cosmology, and our results have helped to elucidate the requisite features that quintessence models must incorporate in order to accommodate the DESI data. There are several avenues for followup investigations. First, fitting other proposed quintessence potentials to the data would help to identify the best-fitting models; and, second, one could look at more general scalar field models of dark energy such as coupled quintessence [30, 31, 32], k-essence [33, 34, 35], multi-field models [36], and modified gravity [37, 38, 39, 40]. One could also go beyond scalar field models e.g., [41, 42, 43]. Our investigation suggests that any such models must allow for a sufficiently steep change in w(z)w(z) around z0.5z\sim 0.5. In addition to the hill-top and plateau quintessence models above, we note that models such as symmetron dark energy [44, 45] that use phase transitions to start a scalar field rolling possess such features, as do models where relativistic species decouple around z1z\sim 1 and inject energy into a scalar such as mass-varying neutrino models [46, 47, 48, 49], among others.

Refer to caption
Figure 2: Marginalized posteriors for the cosmological models studied in this work using CMB+DESI+Union3 data. The inner contours denote the 68%68\% confidence level (CL), while the outer contours denote the 95%95\% CL. Both w0waw_{0}w_{a}CDM and quintessence models encompass the Λ\LambdaCDM limit.

Note Added: While this manuscript was in preparation, reference [50], which also studies exponential quintessence in light of the DESI data, appeared on the arXiv. Our results agree with theirs.

Acknowledgements: The technical support and advanced computing resources from University of Hawai‘i Information Technology Services – Cyberinfrastructure, funded in part by the National Science Foundation CC⁢ awards #2201428 and #2232862 are gratefully acknowledged.

References