Imprint of a Steep Equation of State in the growth of structure
Mariana Jaber, Erick Almaraz, Axel de la Macorra

TL;DR
This paper investigates how a steep transition in dark energy's equation of state influences cosmic structure growth, showing it fits data better than traditional models and affects matter power spectrum and structure formation.
Contribution
It introduces a Steep Equation of State model for dark energy and demonstrates its impact on structure growth, outperforming conventional models in fit quality.
Findings
Steep transition model fits cosmological data better than CPL model.
Power spectrum exhibits a bump at the transition scale.
Dark energy dynamics affect present-day dark matter distribution.
Abstract
We study the cosmological properties of a dynamical of dark energy (DE) component determined by a Steep Equation of State (SEoS) . The SEoS has a transition at between two pivotal values () which can be taken as an early time and present day values of and the steepness is given by . We describe the impact of this dynamical DE at background and perturbative level. The steepness of the transition has a better cosmological fit than a conventional CPL model with . Furthermore, we analyze the impact of steepness of the transition in the growth of matter perturbations and structure formation. This is manifest in the linear matter power spectrum, , the logarithmic growth function, , and the differential mass function . The differences in these last three quantities is at a…
| Alias | |||||||
|---|---|---|---|---|---|---|---|
| (I) -P | -1 | -1 | 1 | 1 | 67.27 | 0.1198 | 0.3156 |
| (II) -P | -0.92 | -0.99 | 9.97 | 0.28 | 67.27 | 0.1198 | 0.3156 |
| (III) -P | -0.92 | -0.99 | 1 | 1 | 67.27 | 0.1198 | 0.3156 |
| (IV) -bf | -0.92 | -0.99 | 9.97 | 0.28 | 73.22 | 0.1568 | 0.3340 |
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Imprint of a Steep Equation of State in the growth of structure
Mariana Jaber-Bravo
Erick Almaraz
Axel de la Macorra
Instituto de Física, Universidad Nacional Autónoma de México,
A.P. 20-364 CDMX 01000, México.
Abstract
We study the cosmological properties of a dynamical of dark energy (DE) component determined by a Steep Equation of State (SEoS) . The SEoS has a transition at between two pivotal values () which can be taken as an early time and present day values of and the steepness is given by . We describe the impact of this dynamical DE at background and perturbative level. The steepness of the transition has a better cosmological fit than a conventional CPL model with . Furthermore, we analyze the impact of steepness of the transition in the growth of matter perturbations and structure formation. This is manifest in the linear matter power spectrum, , the logarithmic growth function, , and the differential mass function . The differences in these last three quantities is at a percent-level using the same cosmological baseline parameters in our SEoS and a model. However, we find an increase in the power spectrum, producing a bump at with the mode associated to the time of the steep transition (). Different dynamics of DE lead to a different amount of DM at present time which has an impact in Power Spectrum and accordingly in structure formation.
††preprint: APS/123-QED
I Introduction
The standard CDM paradigm is based on the assumptions of homogeneity and isotropy of the Universe at large scales, the validity of General Relativity and the cosmological constant term as cause of the accelerated cosmic expansion. Although it has been proven successful when tested against observations it faces some major theoretical issues such as the extreme fine-tuning problem known as the cosmological constant problem (Weinberg, 1989) which leads to the necessity of extending it. Some candidates include scalar field models or modifications of General Relativity
Observational probes coming from different physical phenomena such as the temperature and polarization of cosmic microwave background (CMB) (Aghanim et al., 2018), the luminosity distance of supernovae (Scolnic et al., 2018) or the statistical signature of the baryonic acoustic oscillations (BAO) from galaxy surveys Beutler et al. (2011); Ross et al. (2015); Padmanabhan et al. (2012); Alam et al. (2016); Kazin et al. (2014), quasars Font-Ribera et al. (2014); Delubac et al. (2015) or voids Liang et al. (2016), have improved significantly over the years.
In this work we choose to focus on an effective model of a fluid with free parameters. In this, we consider the dark energy (DE) contribution, to be a perfect fluid so dissipative terms will not be present. In this situation we describe the dynamics of this component through its equation of state, , defined by:
[TABLE]
which can be parameterized to match observations.
Several proposals for can be found in the literature (Chevallier and Polarski, 2001; Linder, 2003; Doran and Robbers, 2006; Krauss et al., 2007; Linder, 2006; Rubin et al., 2009; Sollerman et al., 2009; Mortonson et al., 2010; Hannestad and Mortsell, 2004; Jassal et al., 2005; Ma and Zhang, 2011; Huterer and Turner, 2001; Weller and Albrecht, 2002; Huang et al., 2011; Barboza and Alcaniz, 2008). These proposals attempt to describe the dynamics of dark energy without assuming a particular theoretical model, but providing practical parametrizations that can be readily confronted against observations In this approach, a cosmological constant solution can be modelled as a fluid with pressure , which implies an equation of state . This landscape has recently been extended to cover the background expansion rate as prescribed by theories (Jaime et al., 2018).
The study of the perturbative regime could potentially be used to discriminate between a cosmological constant and models with a negative pressure component from Modified gravity. In this pursue, ongoing and upcoming surveys such as eBOSS (Blanton et al., 2017), DESI (collaboration, 2016), LSST (LSST Science Collaboration et al., 2009) and EUCLID (Laureijs et al., 2011) will provide extremely precise measurements of the growth of structure in the Universe, which in turn, will allow to probe the nature of the cosmic acceleration mechanism.
Studying the effect of dynamical DE into the clustering at large scales is thus a relevant task for the cosmological community. In this work we present the implications that a steep transition in the DE EoS, has in the growth of structure.
This paper is organized as follows. In Section II we describe our model for dark energy, the cosmology chosen and the analytical treatment used for the perturbations. Section III comprises our main results in the particular case of a smooth dark energy component and its impact on linear observables in the perturbative regime. Our conclusions and outlook are covered in section IV.
II Methods
II.1 Steep Equation of State
In a previous work (Jaber and de la Macorra, 2018) we presented a parametric form for inspired in quintessence fields and tested its free parameters with observations such as the Baryion Acoustic Oscillations (BAO) peak measured in galaxies or in the Lymann- forest, as well as the compressed Cosmic Microwave Background likelihood (Mukherjee et al., 2008; Ade et al., 2016a), and the local determination of included in (Riess et al., 2016).
Our form for the equation of state is:
[TABLE]
which allows for a steep transition to take place at a pivotal redshift with a steepness modulated by the exponent . For this reason we dubbed this equation “SEoS” (from “Steep Equation of State”) in this work.
We notice that in the case where the transition is smooth and occurs at a particular redshift: , we recover a form for the equation of state known as the Chevallier-Polarski-Linder parametrization (CPL) (Chevallier and Polarski, 2001; Linder, 2003) which has been widely used in the literature,
[TABLE]
where and we keep the convention .
In this work we will refer to the particular case of having arbitrary and but taking , as the “CPL limit” of the SEoS (2).
We notice that the parameter modulates the steepness of the transition: the greater the value for , the more abrupt is the transition, as figure 1 shows.
II.2 Background models
Once we have specified the equation for the dynamics of DE, the expansion rate (for a flat Universe) is given by:
[TABLE]
where is the Hubble parameter, the cosmic time, the scale factor of the Universe and the Hubble constant at present time. The fractional densities of matter, radiation and dark energy at , are given by , , , respectively, which follow the flatness constraint .
The function in equation (4) encodes the evolution of the DE component in terms of its equation of state:
[TABLE]
For the free parameters in equation (2) we have chosen the best fit values obtained in (Jaber and de la Macorra, 2018) from the combination of BAO measurements Beutler et al. (2011); Ross et al. (2015); Padmanabhan et al. (2012); Alam et al. (2016); Delubac et al. (2015); Font-Ribera et al. (2014) and the local determination of (Riess et al., 2016). This corresponds to: , , and . The cosmological parameters, and , were set equal to those reported by the Planck collaboration (Ade et al., 2016b), so we can compare the discrepancy arising only from the different dynamics of DE (table 1, models I-III). This is and ().
However, to take into account the full result obtained in Jaber and de la Macorra (2018), we also set the values for and to those obtained with the constraining procedure reported previously. This corresponds to the model IV from table 1 and values and (). This value for corresponds to the one reported in Riess et al. (2016), which is known to be in tension with the value extrapolated from Planck measurements of CMB. This will be have an impact in our analysis.
The rest of the cosmological parameters was fixed to the values from Planck TT,TE,EE+lowP (Ade et al., 2016b) used in our previous analysis. In particular, we set the same primordial spectrum to focus on the effect of a late time dynamical dark energy component. This is, we set: , , and .
II.3 Perturbative regime
We examine the growth of perturbations during the matter-DE domination era using “SEoS” (equation (2)) as the model for DE.
For a late time Universe we have a mixture of matter and DE and we know radiation to be sub-dominant. In that case the growth of over-densities can be studied in the Newtonian limit of the formalism this is, considering non-relativistic components that are well inside the horizon. For coupled fluids we have:
[TABLE]
where we have used . The density contrast of the i-th fluid is represented by , where is the background density, and represents the corresponding speed of sound, defined by .
We find the solutions for equation (6) in the particular case of , this is, when DE does not cluster, since the spatial fluctuations of typical dark energy models are very much suppressed with respect to those of dark matter.
In addition to finding the numerical solutions of equation (6), we also used a modified version of the Boltzmann solver CAMB (Lewis et al., 2000) in which we introduced “SEoS” as the background model.
III Results
Regarding the solution for we choose to explore the different scenarios which are referenced in Table 1 and were chosen as explained below:
- •
Model “-P” refers to a cosmological constant scenario with and fixed to Planck cosmology (Ade et al., 2016b).
- •
Model “-P” refers to the best fit values for the parameters in equation (2) as obtained in (Jaber and de la Macorra, 2018) while maintaining and to a Planck cosmology (Ade et al., 2016b).
- •
Model “-P” refers to the scenario where we adopt the CPL limit of the above solution, meaning we keep , as obtained in (Jaber and de la Macorra, 2018) and fixed to a Planck cosmology (Ade et al., 2016b), but we make = = 1.
- •
Finally, Model “-bf” refers to the best fit values for the parameters in equation (2) (i.e. ) with and also fixed to the best fit values obtained in (Jaber and de la Macorra, 2018).
The corresponding expansion histories for those models are shown in figure 2, where we plot and the relative ratio from models -P, -P and -bf to -P in the bottom panel: .
III.1 Growth function
In the case where , equation 6 reduces to:
[TABLE]
This can be solved by setting initial conditions in the matter dominated era, , since we know that during this epoch, the solution for the growth function is , we have and .
A solution for equation (7) can be given up to a normalization. We choose to normalize it such that at , so we enhance the differences arising at present time. This is shown in Figure 3(a) for the models under consideration. Once we have the solution to equation (7), we can also find the logarithmic growth function, (see fig. 3(b)).
To get a better idea of the effect of different dark energy models in the growth functions , , we take the relative difference to a scenario: with and the solution assuming -P as background model. This is show, for instance, in the bottom panel of plots 3(a) and 3(b), respectively.
Regarding the results for we find deviations from that are of order:
- •
of at if we assume model -P as our DE component,
- •
of order , for -P,
- •
and of order of at taking -bf.
The differences in are consistent, showing deviations at percent level: the fastest expansion rate corresponds to -bf model (as indicated in figure 2), followed by -P and -P. Hence, we obtained a slower growth of structure and a slower logarithmic growth rate in -bf model (followed by -P and -P).
It is important to note that the discrepancy between and a dynamic form of dark energy is bigger for the CPL scenario that the case (Model -P versus Model -P in figure 3). This is due to the fact that the CPL limit has , which implies that for this case for , whereas Model -P has a later transition redshift, implying that for .
III.2 Linear matter power spectrum
By means of a modified version of CAMB (Lewis et al., 2000) in which we incorporated “SEoS” as expansion model and considered negligible DE perturbations, we computed the linear matter power spectrum, , which is calculated in the synchronous gauge, used internally by the code.
III.2.1 SEoS: DE dynamics only
Our results are shown in Figure 4. In this we show the linear matter spectrum for and -P (figure 4(a)) and their ratio for different redshift values (, , , and ).
We notice a decrease in amplitude for all Fourier modes, of order () for redshift values (), respectively (see figure 4(a)). This is to be expected since we have seen that a consequence of the dynamics of -P is an Universe that expands more rapidly as compared to one dominated by a cosmological constant. The effect appears after the transition has occurred, since for , our EoS behaves as a cosmological constant term (). In addition to this decrease, we notice a bump in for . This is better depicted in figure 4(b), where we show the ratio between -P and -P for power spectra after the transition has occurred (). From the bottom panel of figure 4(a) we notice the bump appears only after the transition has occurred, and in figure 4(b) we see it increases as . We can know which modes are entering to the horizon during and after the transition epoch of .
Using we have (shown as a red dotted vertical line in figure 4(b)) with . Which means that modes enter into the horizon after the abrupt transition took place.
III.2.2 SEoS: best fit value
Now, in figure 5 we show the difference in power spectrum between and the model -bf, in which not only the dynamics of DE is different but also the amount of matter, and Hubble factor . Notice that in this case we report and to take into account the fact that each model has its corresponding value. It is important to recall that we have set the same initial power spectra for all our models, even in the -bf case.
The bottom panel of figure 5 shows a decrease in power spectrum for small modes (), and a similar increase in amplitude for the biggest modes (). Those modes () entered first into the horizon and given that the Universe in -bf model expands more rapidly than in -P (see figure 2), they have had more time to evolve and accrete mass, hence, generating more power in the -bf power spectrum.
It is customary to express the matter power spectrum at late times in terms of the initial power spectrum, the matter transfer function and the growth function Dodelson (2003):
[TABLE]
and since we know that the primordial power spectrum has been kept the same in all models tested, and the transfer function is roughly the same for small modes, we can estimate the amount of deviation for small modes from to be of the order . From results in figures 2 and 3(a) we get which in turns means , in agreement with figure 5.
III.3 Large scale structure
Galaxy redshift maps constrain the combination using measurements of the redshift space distortions (RSD). So, in order to have an insight on the possible implications of the model into the growth of structure at large scales, we consider the function and compare with some of the current observational constraints reported in the literature and listed below. This is shown in figure 6. We added the observational points reported by the following surveys: 6dFG Beutler et al. (2012), SDSS MGS Howlett et al. (2015), SDSS-LRG Oka et al. (2014), BOSS-LOWZ and BOSS-CMASS Gil-Marín et al. (2016), WIGGLE-z Blake et al. (2010) and the VIPERS de la Torre et al. (2013). As previously mentioned, we show the relative difference with = and the solution assuming -P as background model.
From this result we see that model -bf predicts a larger value for at all redshift values . This increase (of order ) makes model -bf in discordance with the current observations of , whereas -P and its limit are within observational error bars and deviate from -P by less of , in conformity with our previous results, in particular, we see that the difference in is in agreement with the result shown in figure 3(b).
Additionally we consider the fractional number of collapsed structures by means of the Press-Schechter formalism, which describes the matter over-density field in real space by a smooth gaussian field whose variance on a sphere of radius R is (Press and Schechter, 1974). In this formalism, the number of collapsed objects per unit volume with mass between and is given by:
[TABLE]
where , the linear over-density at collapse is set to the value for since the dependence on cosmology is not strong (Pace et al., 2010). In figure 7 we show the differential mass function for the models considered and their relative ratio to -P model.
In this case we notice that -bf model predicts a decrease in the number of smalls structures (masses ) by compared to scenario, and an increase of () and as big as for the biggest collapsed structures ().
For -P and -P models, the behavior is the opposite: we find an increase in the number of small objects (masses ) of order and a decrease in the number of big structures () of for -P and for its limit.
We recall that the mass is inversely proportional to the wave-number since and , indicating that large masses correspond to small modes (large scales) and vice versa. In -bf model, additionally to the DE dynamics we have a different value for than in (see equation (9)), which impacts importantly the mass function, as we have just discussed. For models -P and -P, however, the matter content is the same and hence when we compare the differential mass function at a particular mass scale we are also comparing that function at the same mode. Moreover, since the age of the Universe is practically the same in models I-III (table 1), the resulting discrepancies previously discussed mean that large structures take more time to form in a model, while small objects form more quickly.
As a consequence we can say that we would expect to observe less massive galaxy clusters and more light structures (isolated galaxies and poorly populated clusters) in -P or -P universe.
IV Conclusions
We studied a DE model with the characteristic of a steep transition between two pivotal values. This model was previously analyzed at background level and its free parameters were tested against observations such as the latest local determination of , the BAO peak and the angular distance to the CMB (Jaber and de la Macorra, 2018), and constrained its free parameters to: (, , , ). This work investigates how a steep transition in the DE EoS can affect the growth of structure, and we restricted ourselves to the case of a smooth DE component.
We find that the effect of a SEoS for DE in structure formation can basically be separated into two phenomena: 1) On one hand the presence of a dynamical dark energy changes the expansion of the background, leading to different growth rates and affecting the matter fluctuations 2) While on the other hand, the change in as well the Hubble rate (according to the BFV obtained previously) has a bigger impact than just the DE dynamics, modifying the observable quantities such as , , and beyond the current observational constraints.
In the fist case we find that the change in the Hubble expansion 2 of percent at the transition epoch ( or in “-P” or “-P”, respectively), impacts the growth functions in an equivalent amount, diminishing the growth of structure at linear order by (figure 3). This consequently imprints into as a decrease of and lies in agreement with RSD observational measurements from surveys Beutler et al. (2012); Howlett et al. (2015); Oka et al. (2014); Gil-Marín et al. (2016); Blake et al. (2010); de la Torre et al. (2013). As for the differential mass function, , we find as a prediction, a slight increment in the number of small collapsed objects of order () and a decrement in the number of large structures or order () for -P (-P) model.
The limit of -P model (which means taking in equation (2)), consistently shows bigger differences from model than -P, as a result of an earlier (yet smooth) transition from to a bigger value , which implies the DE dilutes first in -P model. As for the matter power spectrum, we see that the change in expansion rate affects all Fourier modes equally, decreasing the amplitude of power spectrum by at . Additionally to this effect, we notice the appearance of a bump in the modes close to those entering near the steep transition, in the linear regime (), which appears only after the transition took place () and increases amplitude as .
In the second case, this is, for -P model, we find an interplay between having an Universe with bigger than in a scenario, with the change in the expansion rate, such that the clustering is prevented at large scales (small Fourier modes or large masses) and enhanced at enhanced at small scales (large Fourier modes or small masses). See for instance figures 5 and 7. From the differential mass function, for instance, the prediction is that the number of collapsed objects decreases (increases) by approximately () for light (the largest) structures. Lastly, the effect on , however implies that model -bf is not in agreement with RSD observational constraints.
To summarize, the study of dynamics of Dark Energy is a matter of profound implications for our understanding of the Universe and its physical laws. Studying the behavior of a model beyond background level is nowadays required given the important amount of data coming from redshift galaxy surveys and its potential to test discrepancies among a cosmological constant, fluids with negative pressure or modifications to the gravity sector. In this paper we have contributed towards that direction showing that the evolution of matter over-densities is sensitive to the parameters in equation (2), and a model with a steep transition such as the one explored in this paper can lead to interesting features in the growth of structure.
Acknowledgements
This project was done with funding from the CONACYT grant Fronteras de la Ciencia 000281 and PASPA-DGAPA UNAM. M.J. thanks Omar A. Rodríguez L. for computational help and the group of Extragalactic Astronomy and Cosmology of Institute of Astronomy UNAM for fruitful discussions.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Weinberg [1989] Steven Weinberg. The cosmological constant problem. Rev. Mod. Phys. , 61:1–23, Jan 1989. doi: 10.1103/Rev Mod Phys.61.1 .
- 2Aghanim et al. [2018] N. Aghanim et al. Planck 2018 results. VI. Cosmological parameters. 2018.
- 3Scolnic et al. [2018] D. M. Scolnic et al. The Complete Light-curve Sample of Spectroscopically Confirmed S Ne Ia from Pan-STARRS 1 and Cosmological Constraints from the Combined Pantheon Sample. Astrophys. J. , 859(2):101, 2018. doi: 10.3847/1538-4357/aab 9bb .
- 4Beutler et al. [2011] F. Beutler, C. Blake, M. Colless, D. H. Jones, L. Staveley-Smith, L. Campbell, Q. Parker, W. Saunders, and F. Watson. The 6d F Galaxy Survey: baryon acoustic oscillations and the local Hubble constant. MNRAS , 416:3017–3032, October 2011. doi: 10.1111/j.1365-2966.2011.19250.x .
- 5Ross et al. [2015] Ashley J. Ross, Lado Samushia, Cullan Howlett, Will J. Percival, Angela Burden, and Marc Manera. The clustering of the SDSS DR 7 main Galaxy sample – I. A 4 per cent distance measure at z = 0.15 𝑧 0.15 z=0.15 . Mon. Not. Roy. Astron. Soc. , 449(1):835–847, 2015. doi: 10.1093/mnras/stv 154 .
- 6Padmanabhan et al. [2012] Nikhil Padmanabhan, Xiaoying Xu, Daniel J. Eisenstein, Richard Scalzo, Antonio J. Cuesta, Kushal T. Mehta, and Eyal Kazin. A 2 per cent distance to z = 0.35 by reconstructing baryon acoustic oscillations – i. methods and application to the sloan digital sky survey. Monthly Notices of the Royal Astronomical Society , 427(3):2132–2145, 2012. ISSN 1365-2966. doi: 10.1111/j.1365-2966.2012.21888.x .
- 7Alam et al. [2016] Shadab Alam et al. The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR 12 galaxy sample. Submitted to: Mon. Not. Roy. Astron. Soc. , 2016.
- 8Kazin et al. [2014] Eyal A. Kazin et al. The Wiggle Z Dark Energy Survey: improved distance measurements to z = 1 with reconstruction of the baryonic acoustic feature. Mon. Not. Roy. Astron. Soc. , 441(4):3524–3542, 2014. doi: 10.1093/mnras/stu 778 .
