Distinguishing between Neutrinos and time-varying Dark Energy through Cosmic Time
Christiane S. Lorenz, Erminia Calabrese, David Alonso

TL;DR
This paper explores how time-varying dark energy models can mimic neutrino effects, causing parameter degeneracies, and discusses strategies with current and future data to distinguish between neutrino properties and dark energy evolution.
Contribution
It demonstrates the degeneracies between neutrino parameters and dark energy evolution and evaluates how multi-probe analyses can improve parameter constraints with future experiments.
Findings
Current data offers limited parameter separation.
Future experiments will better distinguish neutrino mass.
Degeneracies persist with current multi-probe analyses.
Abstract
We study the correlations between parameters characterizing neutrino physics and the evolution of dark energy. Using a fluid approach, we show that time-varying dark energy models exhibit degeneracies with the cosmic neutrino background over extended periods of the cosmic history, leading to a degraded estimation of the total mass and number of species of neutrinos. We investigate how to break degeneracies and combine multiple probes across cosmic time to anchor the behaviour of the two components. We use Planck CMB data and BAO measurements from the BOSS, SDSS and 6dF surveys to present current limits on the model parameters, and then forecast the future reach from the CMB Stage-4 and DESI experiments. We show that a multi-probe analysis of current data provides only marginal improvement on the determination of the individual parameters and no reduction of the correlations. Future…
| Parameters | CMB | CMB | CMB |
|---|---|---|---|
| +CMBL | +CMBL+BAO | ||
| Baro DE | |||
| EDE | |||
| [eV] | |||
| Correlations | CMB | CMB | CMB |
| +CMBL | +CMBL+BAO | ||
| Baro DE | |||
| -81% | -66% | -79% | |
| EDE | |||
| -3.7% | -20% | -15% | |
| 2.3% | 0.3% | -19% |
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Distinguishing between Neutrinos and time-varying Dark Energy through Cosmic Time
Christiane S. Lorenz
Sub-department of Astrophysics, University of Oxford, Keble Road, Oxford OX1 3RH, UK
Erminia Calabrese
Sub-department of Astrophysics, University of Oxford, Keble Road, Oxford OX1 3RH, UK
School of Physics and Astronomy, Cardiff University, The Parade, Cardiff, CF24 3AA, UK
David Alonso
Sub-department of Astrophysics, University of Oxford, Keble Road, Oxford OX1 3RH, UK
Abstract
We study the correlations between parameters characterizing neutrino physics and the evolution of dark energy. Using a fluid approach, we show that time-varying dark energy models exhibit degeneracies with the cosmic neutrino background over extended periods of the cosmic history, leading to a degraded estimation of the total mass and number of species of neutrinos. We investigate how to break degeneracies and combine multiple probes across cosmic time to anchor the behaviour of the two components. We use Planck CMB data and BAO measurements from the BOSS, SDSS and 6dF surveys to present current limits on the model parameters, and then forecast the future reach from the CMB Stage-4 and DESI experiments. We show that a multi-probe analysis of current data provides only marginal improvement on the determination of the individual parameters and no reduction of the correlations. Future observations will better distinguish the neutrino mass and preserve the current sensitivity to the number of species even in case of a time-varying dark energy component.
I Introduction
Observations from Type Ia Supernovae (SN) Riess et al. (1998); Perlmutter et al. (1999), followed by indirect evidence from the Cosmic Microwave Background (CMB) Sherwin et al. (2011); Ade et al. (2014), have shown that the expansion of the Universe is accelerating and hint at the existence of an unknown dark energy (DE) component.
In the standard, concordance cosmological model, dark energy is described in terms of the simplest possible component: a cosmological constant, , with an equation of state parameter (pressure over density) constant in time and equal to . However, because of the numerous theoretical issues of the cosmological constant (see e.g., Ref. Silvestri and Trodden (2009) and references therein), additional, and more complex, dark energy scenarios have been discussed in the literature, including models in which the dark energy equation of state is varying in time (see e.g., Ref. Copeland et al. (2006) for a review). While waiting for ongoing and future CMB lensing and galaxy redshift surveys to shed light on the physics of this component, currently available cosmological data are used to constrain all kinds of exotic dark energy models. At present, none of these is a better fit to the data compared to a cosmological constant but also not completely ruled out (see e.g., Ref. Ade et al. (2016a) for recent analyses).
Understanding the nature of dark energy is also particularly relevant for future measurements of parameters characterizing neutrino physics. In particular, Ref. Allison et al. (2015) have performed forecasts for upcoming measurements of neutrino parameters in more extended dark energy scenarios, and have shown that our understanding of neutrinos would be significantly improved if the exact behaviour of dark energy were known.
Neutrino particles are a key component of the Standard Model of particle physics which accounts for three flavours of very light active particles. The squared mass differences between the neutrino mass eigenstates have been measured by oscillation experiments, , and for the normal hierarchy or for the inverted hierarchy Patrignani et al. (2016). This leads to a lower limit on the total mass of the three active neutrinos, , of meV for the normal hierarchy and meV for the inverted hierarchy. Mass eigenstates limits are also informed by direct neutrino mass searches from laboratory experiments and by cosmological observables: tritium -decay experiments set an upper limit on the absolute electron neutrino mass of eV at 95% confidence (see Ref. Weinheimer (2002) for an overview), and measurements of the growth of cosmic structures from the Planck satellite CMB data, combined with baryonic acoustic oscillations (BAO) from low-redshift surveys Ross et al. (2015); Anderson et al. (2014); Drinkwater et al. (2010), constrain the total neutrino mass to be eV at 95% confidence Ade et al. (2016b).
The absolute value of the neutrino mass eigenstates, as well as whether and are positive or negative and therefore if the neutrino mass hierarchy is normal (positive sign) or inverted (negative sign), are yet to be determined. Improved sensitivity on the absolute electron neutrino mass will soon come from the KATRIN experiment which will reach eV Drexlin et al. (2013), while future combination of CMB and large-scale structure (LSS) data predict a 4-5 detection of the total neutrino mass with eV in the next decade Allison et al. (2015); Abazajian et al. (2016); Calabrese et al. (2017); Louis and Alonso (2017); Di Valentino et al. (2016).
In addition to the total neutrino mass, cosmological observations also constrain the effective number of neutrino species, , via measurements of the neutrino contribution to radiation density in the early Universe. The current bound on from Planck CMB combined with BAO is (at 68% confidence) Ade et al. (2016b), in agreement with the prediction of the Standard Model of particle physics. An additional constraint on comes from big bang nucleosynthesis (BBN) which limits the number of additional relativistic degrees of freedom at early times to at 95 confidence level Mangano and Serpico (2011). A 1-2% determination of is expected from future CMB data Abazajian et al. (2016); Green et al. (2016); Calabrese et al. (2017).
At the level of precision of these future measurements, theoretical degeneracies between different cosmological scenarios become important and need to be addressed. In this paper we investigate in detail the degeneracies between dark energy and neutrino parameters. We show that the main correlations arise if a time-varying dark energy fluid and a neutrino fluid behave very similarly during specific cosmic times and demonstrate that a multi-probe analysis might be able to distinguish between the two. Here, we consider two specific phenomenological dark energy parametrizations (early dark energy and barotropic dark energy) chosen because of their similarity to either the effect of or , and extend previous analyses presented in Refs. Calabrese et al. (2011a, b). We use these as a proxy for more general cases and show how to anchor them through cosmic time with a combination of early- and late-time cosmological probes. A multi-probe approach for the specific case of the neutrino mass (without discussing dark energy), and a detailed physical derivation of how to isolate the neutrino mass, has also been presented in Ref. Archidiacono et al. (2017).
The paper is structured as follows. We describe the role of neutrinos in cosmology and the two time-varying dark energy models analysed in this paper in Section II. We then present constraints on these models obtained with current CMB and BAO data in Section III, and forecasts for upcoming experiments in Section IV. We conclude in Section V.
II Theoretical degeneracies
Neutrinos and dark energy both affect the expansion rate of the Universe and the growth of cosmic structures, leading to degeneracies between the parameters of the two components even in the case of simple extensions of the cosmological constant (see e.g., Ref. Hannestad (2005); de Putter et al. (2009); Font-Ribera et al. (2014); Hamann et al. (2012); Benoit-Lévy et al. (2012); Pearson and Zahn (2014); Wang et al. (2016); Zhang (2017); Yang et al. (2017)). These can be alleviated by combining data which provide orthogonal information in parameter space (an example of this is the measurement of the matter and dark energy densities from galaxy statistics or CMB). Here, we show that a more complicated scenario, with extended degeneracies, arises when dark energy evolves in time with some tracking behaviour.
To understand phenomenologically why neutrinos and dark energy might look like each other we consider here a fluid parametrization for both components. For each component we define a density parameter, with being the critical energy density of the Universe, and an equation of state, , that we evolve with the scale factor, , to track the behaviour of the fluid at different times. We summarize this discussion in Figure 1, which we will gradually populate with models and observational ranges in what follows.
II.1 The cosmic neutrino background
During the history of the Universe neutrinos evolve from a relativistic phase at very early times to a massive-particle behaviour at later times (see Ref. Lesgourgues and Pastor (2006) for a review). Initially, the neutrinos’ kinetic energy dominates over their rest mass energy and as a consequence neutrinos can be considered and described as massless particles fully characterized by their temperature. As the Universe cools down, the kinetic energy decreases and neutrinos transition to a non-relativistic phase with a non-negligible mass. In terms of the energy budget of the Universe, this means that neutrinos contribute to radiation at early times and to matter after the transition, with an energy density given by
[TABLE]
where and are the neutrino and photon temperatures, is the photon density, and is the dimensionless Hubble constant. The two parameters of this model are the effective number of relativistic species, , and the total mass, .
The transition between the two epochs for the individual neutrino particle happens at a redshift Ichikawa et al. (2005)
[TABLE]
In the standard fluid approximation this can be pictured as a time-evolving equation of state , which starts from at early times, as for relativistic components, and then subsequently drops to when neutrinos become non relativistic, and as expected for pressure-less matter. The density parameter will reflect this evolution of the individual neutrino particle and manifest distinctive phases as well. This is shown in Figure 1 with blue lines.
–The neutrino number–
The Standard Model of particle physics predicts , accounting for the three standard neutrino particles (, , ) and extra energy transfer between neutrinos and the thermal bath as well as QED corrections Dicus et al. (1982); Mangano et al. (2002); de Salas and Pastor (2016). This extra energy is generated during a non-perfectly-instantaneous decoupling of neutrinos from the primordial plasma, with a small part of the entropy released through electron anti-electron annihilations transferred to neutrinos instead of photons. Deviations from the standard predictions will point towards extra radiation in the early Universe or non-standard neutrino decoupling with the initial plasma.
Until the matter-radiation equality, the expansion of the Universe is completely driven by the amount of radiation, which receives contributions from both photons and neutrinos
[TABLE]
The effective number of neutrinos will then leave an imprint on observables probing at early times, including the abundances of light elements predicted from BBN, and the CMB primordial temperature and polarization anisotropies. Indeed, the extra energy stored from free-streaming neutrinos at early times delays the time of the matter-radiation equality, and changes the abundances of Helium and Deuterium during BBN. These in turn modify the amplitude, the position and the damping of the CMB anisotropy power spectrum (see, e.g., Refs. Trotta and Hansen (2004); Bashinsky and Seljak (2004); Ichikawa and Takahashi (2006); Iocco et al. (2009); Hou et al. (2013); Archidiacono et al. (2011); Steigmann (2012); Follin et al. (2015); Green et al. (2016); Abazajian et al. (2015) for useful discussions).
–The neutrino mass–
The neutrino mass plays a role only at later times in the history of the Universe. As such, the CMB primordial anisotropies are only mildly affected, but the interaction of the CMB photons with the low-redshift Universe and the large-scale structure formation and growth will have strong signatures of the neutrino mass.
Since they only interact weakly, neutrinos tend to free-steam out of small-scale density perturbations. As a result, they suppress structure formation on small scales: they do not cluster as a normal matter component would do and they additionally obstacle the cold dark matter and baryon clustering. This can be seen by explicitly comparing the expression of the matter power spectrum, , in the case of massless and massive neutrinos. The power spectrum is suppressed as Hu et al. (1998)
[TABLE]
with being the matter density, for comoving wavelengths larger than
[TABLE]
The matter distribution is observationally probed with e.g., measurements of baryon acoustic oscillations, galaxy lensing, and the clustering of the galaxy distribution Font-Ribera et al. (2014); Abazajian et al. (2011). The distribution of matter also affects the path of the CMB photons while they travel from the recombination epoch to today: gravitational potential wells along the photons’ path will generate small deflections in the CMB temperature and polarization anisotropies and produce a CMB weak-lensing signal Lewis and Challinor (2006). CMB lensing will therefore reflect the matter power spectrum dependence on the neutrino mass (with massive neutrinos suppressing the overall amplitude of the CMB lensing signal) and will be an indirect probe for it (see e.g., Refs. de Putter et al. (2009); Ade et al. (2014, 2016b); Allison et al. (2015); Sherwin et al. (2016)).
II.2 Time-varying dark energy
To study the evolution of the Universe in the presence of more complicated dark energy models, we implemented two phenomenological parametrizations described below. The choice of the models is based on their interesting, and at the same time problematic, similarity to the neutrino fluid evolution. For both models we included a full set of perturbation equations with constant sound speed and viscosity parameters equal to . This choice of parameters is made to highlight the degeneracies with the neutrino sector and is discussed in detail in Ref. Calabrese et al. (2011b).
II.2.1 Barotropic dark energy
The barotropic class of dark energy models Linder and Scherrer (2009) include all sorts of models in which the physics of the dark energy fluid is fully determined by the pressure as an explicit function of the density. The key feature of these models is the simple extension of the cosmological constant to a theory where DE is varying in time through a non-zero DE term present at early times and then quickly transitioning to today. This alleviates the fine-tuning problem and is still in agreement with current cosmological data.
One such example is the model presented in Ref. Linder and Scherrer (2009) where the DE equation of state is given by
[TABLE]
where is the dark energy sound speed, , and is the present value of the equation of state. We extend this model by introducing perturbations in the DE fluid as in Ref. Calabrese et al. (2011b) and in fact continuing the late-time DE term with a dark radiation term at early times. To discuss the interesting degeneracies with neutrino physics we fix . Consequently goes to for , as in the case of radiation and neutrinos, and approaches today.
The barotropic dark energy density is now obtained by inserting Eq. 6 in the dark energy continuity equation and integrating this latter to obtain
[TABLE]
where the subscript 0 stands for today and with given by
[TABLE]
In this model the dark energy fluid can be approximated as the sum of a late-time cosmological constant and an additional radiation term dominating at early times, .
The fraction of barotropic dark energy contributing to radiation in the early Universe depends on the only free parameter of the model, , and can be computed through
[TABLE]
where is the radiation density today (assuming massless neutrinos)111We note that we have derived here a different parametrization of and therefore a new derivation of , which does not directly correspond to the same parameter in Ref. Calabrese et al. (2011b)..
The density and equation of state for this model in the case of () are shown in Figure 1 in dark violet lines. By construction, this model is now degenerate with the neutrino fluid during radiation domination and, because of this, we expect correlations between (or equivalently ) and .
II.2.2 Early dark energy
The second model that we consider is an early dark energy model (EDE) that has been first suggested by Ref. Doran and Robbers (2006) and extensively explored in the literature de Putter et al. (2010); Calabrese et al. (2011a, b); Reichardt et al. (2012); Pettorino et al. (2013); Calabrese et al. (2014); Ade et al. (2016a). This model falls into the tracking dark energy class of models Ferreira and Joyce (1997), where the dark energy density is a sub-dominant fraction of the dominant component of each cosmic epoch, i.e., radiation first, matter later and evolving into today.
The dark energy density and the equation of state parameters are given by
[TABLE]
and shown in Figure 1. The two free parameters of the model are the present value of the equation of state parameter, , and , which is the asymptotic limit of the DE energy density at . is the scale factor at matter-radiation equality. The evolution of in this case is more complex and can be divided into three regimes: during radiation domination, during matter radiation and today.
In this case, as is clear from Figure 1, transitions to a matter-like behaviour before neutrinos become non relativistic and the two fluids are degenerate at early-to-intermediate times. Hence, the early dark energy model parameters will be mostly correlated with the neutrino mass. In particular, in the late Universe, both early dark energy and neutrinos now suppress structure formation: neutrinos through the effect of their mass described before, and dark energy by changing the expansion rate de Putter et al. (2009).
II.3 Observations at different cosmic times
The above discussion and Figure 1 stress the need to test cosmological models at different cosmic epochs to distinguish between neutrinos and time-varying dark energy, with observations spanning a wide range of redshifts. This is possible combining measurements of the early Universe via the CMB primary anisotropies with large-scale structure data measuring the late-time evolution (including galaxy weak lensing and clustering, baryonic acoustic oscillations and SN distance measurements), connected at intermediate times via the CMB gravitational lensing. This is schematically shown in Figure 1, where we highlight the time of the CMB decoupling (redshift of ), and where CMB lensing (integrated signal from decoupling to today) and LSS () sit relative to the evolution of massive neutrinos and a time-varying dark energy. The blue dashed lines show the time when a eV and a eV neutrino become non-relativistic, at and , respectively. Magenta dashed lines show the times of the matter-radiation and the matter- equality defining the DE transitions.
In particular, for the models considered here, the pattern of acoustic peaks in the CMB primary power spectra will anchor the relativistic behaviour and so provide information on and , while CMB lensing and LSS will distinguish the fluids in the matter- and -dominated epochs, improving the limits on and , and constraining , and .
This multi-probe combination has already proven to be very powerful in testing cosmological models Ade et al. (2016b) and will become a standard approach for future analyses of CMB and LSS data. Anticipating high-precision and high-sensitivity CMB primary and lensing observations from the ground-based CMB Stage IV experiment Abazajian et al. (2016), and their combination with BAO from the Dark Energy Spectroscopic Instrument (DESI) Levi et al. (2013), or galaxy lensing and clustering from the Large Synoptic Survey Telescope (LSST) Abell et al. (2009), the Euclid satellite Laureijs et al. (2011) and the Wide-Field InfraRed Survey Telescope (WFIRST) mission Spergel et al. (2013), we investigate in the following current limits and future prospects for these models.
III Constraints from current data
To constrain the dark energy model parameters in conjunction with neutrino physics with current CMB and LSS data, we modified a publicly available version of the CAMB Boltzmann code Lewis et al. (2000) and interfaced it with CosmoMC Lewis and Bridle (2002), a public Monte Carlo Markov chain package that explores cosmological parameters for different theoretical models and data combinations.
We explore an extended CDM model where we vary the standard cosmological parameters (the baryon density today , the cold dark matter density today , the scalar spectral index , the Hubble constant , the amplitude of primordial scalar perturbations ) and additional DE and neutrino parameters: , , , (in the range ), and . For this latter parameter we impose a flat prior in the range [-7,-2] on its logarithmic variation to better explore very small values, and we report results in terms of its derived parameter . When not varied, we follow the standard convention of fixing , eV, , , and . We further impose a Gaussian prior on the reionization optical depth, , in order to incorporate recent CMB large-scale polarization data from the Planck satellite Aghanim et al. (2016a).
We extract cosmological parameters using CMB primary and lensing data from the Planck 2015 data release Aghanim et al. (2016b); Ade et al. (2016c) (retaining only high-multipole temperature for primary anisotropies as recommended by the Planck team), and BAO distance ratio from BOSS DR12 (CMASS and LOWZ) Alam et al. (2015), SDSS MGS Ross et al. (2015), and 6DF Beutler et al. (2011). We further impose the BBN consistency relation between and the baryon density on the primordial Helium abundance Pisanti et al. (2008).
III.0.1 Single-probe degeneracies
We first consider the case in which a single probe is used to constrain time-varying DE and neutrinos. For this we retain the most constraining probe of the Universe’s content and evolution, the primary CMB anisotropies. Limits from Planck CMB temperature data are shown in Figures 2, 3, where we recover the expected , degeneracies.
To show the impact of one component on the other, we run three different cases for each of the time-varying DE models: (i) opening only neutrino parameters, (ii) opening only DE parameters, (iii) varying all DE and neutrino parameters at the same time. We report quantitative results in terms of the correlation coefficient, defined as
[TABLE]
where C is the covariance matrix of the P parameters.
In the case of (i) we recover the Planck limits on and Aghanim et al. (2016a), yielding (68% confidence) and eV (at 95% confidence).
The individual DE parameters in the case of (ii) are instead constrained to be: , , and (all at 95% confidence), where the latter two are consistent with the Planck results in Ref. Ade et al. (2016a).
When letting both components free to vary we see that the limits on the individual parameter degrade by for and for , and a correlation of is found between the two. To fit the Planck high-precision CMB acoustic peaks position, the amount of radiation is split between and along a tightly constrained anti-correlated region.
The impact on individual constraints is instead less strong in the case of . This can be understood by noticing that in this case the results are dominated by the sampling and physical priors (, , and ) which confines all the parameters into the lower limit region of the samples and hides the anti-correlation (see Figure 3). We will show that this will not be the case with future data, when one of the parameters (the neutrino mass sum in this case) will be constrained away from the sampling bounds.
III.0.2 Multi-probe analysis
To show how a multi-probe analysis can help confine the two components and hence break the degeneracies, we report the results of gradually adding to the main Planck CMB primary spectra late-time probes, including Planck CMB lensing, and BOSS/SDSS/6dF BAO. State-of-the-art constraints on these models are reported in Table 1 and Figures 4, 5.
In the case of the barotropic dark energy model, low-redshift data only marginally improve individual parameters constraints and do not help in reducing the correlations. This can be understood considering that both and are mainly constrained via the expansion rate at very early times. Primary CMB is then dominating the constraints, with CMB lensing providing some additional contribution at intermediate redshifts and no extra information coming from BAO.
For the second scenario (early dark energy), low-redshift data have a stronger impact by providing tight bounds on the matter component. Because of this, the sum of the neutrino masses and the amount of are better constrained. They also provide a much tighter constraint on , helping to better limit the 3-dimensional degeneracy . We have also tested whether the inclusion of the Type Ia Supernovae compilation of the Joint Light-curve analysis (JLA) team Betoule et al. (2013) helps to better constrain the early dark energy model, but found no significant improvement.
Table 1 also reports the values of the correlation coefficient for both scenarios and all data combinations. While the combination of CMB and BAO (as a LSS probe) improves the individual parameters’ constraints, the current level of sensitivity is not able to isolate and then break the correlations in two dimensions.
IV Future predictions
To estimate the power of future cosmological data in distinguishing between neutrinos and these time-varying dark energy models, we present here predictions of future limits using the CMB Stage-4 experiment (S4) in combination with BAO measurements from DESI as a tracer of the large-scale structure222We note that a different LSS tracer would lead to the same qualitative conclusions.. From mid-2020s we anticipate access to arcminute-resolution CMB temperature and polarization data with a K-arcmin noise level from CMB-S4 Abazajian et al. (2016), and percent-level determination of the Hubble constant and angular diameter distance from DESI Font-Ribera et al. (2014), tracing the history of the Universe with unprecedented sensitivity.
We run Fisher matrix analyses using the code presented in Ref. Alonso and Ferreira (2015) and following the methodology described in Ref. Calabrese et al. (2017) for the data combination (see Table I in there). Our reference datasets are:
PL+S4
CMB-S4 temperature and E-modes of polarization anisotropies over on 40% of the sky measured with a -arcmin resolution and K-arcmin noise level in temperature; combined with expected full-mission Planck data (as implemented in Refs. Allison et al. (2015); Calabrese et al. (2017)) to complement the multipole range and extend the sky fraction;
- -
PL+S4+S4L
same as above but including also CMB-S4 measurements of the CMB lensing power spectrum over on 40% of the sky;
- -
PL+S4+S4L+BAO
same as above plus BAO distance ratio as measured by DESI in the range .
The results are shown in Figures 6, 7 for barotropic and early dark energy, respectively.
In the case of barotropic dark energy, future CMB data will significantly improve the constraints on the individual parameters, reaching the current level of sensitivity for in the case of no varying dark energy ( from Planck+BAO) and limiting the fraction of barotropic dark energy at early times with percent-level accuracy. The high correlation between and , however, persists even with higher-resolution data
[TABLE]
Ref. Green et al. (2016) have shown a % improvement on the determination of when BBN information are added to CMB-S4 by, e.g., imposing BBN consistency relations. We choose not to include BBN information here because it would not change our conclusions. In the presence of barotropic dark energy, the addition of BBN would be less effective in constraining and not useful to break the degeneracies with DE. Barotropic DE would in fact affect the BBN just as extra relativistic degrees of freedom (an effective ) and therefore will continue to mimic neutrino particles all the way to the BBN epoch. We note that this is due to our way of defining the two fluids with the same sound speed and viscosity parameter , which therefore cannot be isolated with higher-order velocity/viscosity propagation. In the case of non free-streaming extra radiation, a measurement of the phase shift in the CMB anisotropies will break these correlations (see, e.g., Refs. Bashinsky and Seljak (2004); Follin et al. (2015); Baumann et al. (2016)).
The multi-probe approach is instead very successful for the early dark energy scenario. Figure 7 shows a decreasing correlation between the parameters (visually appreciated in the rotation of the 2-dimensional contours) with the addition of lower-redshift data. The correlation coefficient is found to be
[TABLE]
[TABLE]
In the presence of time-varying dark energy, the estimate of the neutrino mass is therefore significantly aided by combining multi-epoch datasets. We find for PL+S4+S4L+BAO eV, which is a factor worse than CMB-S4 predictions in a CDM scenario when combined with DESI. This will improve even more when Supernovae, galaxy shear and clustering, galaxy cluster counts and redshift space distortions are optimally combined with the probes we considered here.
V Conclusion
In this paper we have investigated the correlations arising between time-varying dark energy models and cosmological neutrinos. We have demonstrated how some dark energy models tracking other cosmic components during specific epochs can look like neutrinos over extended periods of the Universe history. This will affect our ability to constrain the number and sum of the masses of the neutrino particles and the physics of dark energy.
We have considered two phenomenological dark energy models: barotropic dark energy and early dark energy, particularly interesting due to their similarity to the effects on cosmological probes of either or . We have presented state-of-the-art limits on these models but found that current CMB and large-scale structure data are not able to clearly distinguish between the two components. In addition, we have investigated the reach of future experiments and forecast estimates from the CMB Stage-4 experiment in combination with BAO from DESI. We have shown that future data will be able, via a multi-probe combination, to break some of the degeneracies and better limit these extended scenarios.
Acknowledgements.
We thank Eric Linder and Dan Green for useful discussions. CL is supported by a Clarendon Scholarship and acknowledges support from Pembroke College, Oxford. EC is supported by a Science and Technology Facilities Council (STFC) Rutherford Fellowship. DA is supported by the STFC and the Beecroft Trust.
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