on a dark energy model explicitly parametrised by …...q is the deceleration parameter the result...
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On a dark energy model explicitlyOn a dark energy model explicitlyparametrised by the deceleration parameterparametrised by the deceleration parameter
Martiros KhurshudyanMartiros Khurshudyan
University of Science and Technology of ChinaUniversity of Science and Technology of China
On a dark energy model explicitlyOn a dark energy model explicitlyparametrised by the deceleration parameterparametrised by the deceleration parameter
Short introduction – known facts Short introduction – known facts Gaussian Processes (with Gaussian Processes (with H(z) data)H(z) data)
some applicationssome applications
Our Dark Energy model and GP Our Dark Energy model and GP Some resultsSome results ConclusionConclusion
Short introduction – known facts Short introduction – known facts
Large scale universeDark energy has enough negative pressure to workagainst gravity.
Dark matter is going to be something having attractivenature.
Models of dark energy – cosmological constant(thefirst dark energy model), varying cosmologicalconstant models, quintessence, phantom, k-essence(scalar field representations), ghost dark energy,holographic dark energy (the energy density isparametrised), Chaplygin gas (dark energy and darkmatter joint model with a non-linear EoS)…
Alternative approach
a modification of gravity
(I will skip the discussion on this issue becausethe community is very well familiar with thisidea)
Gaussian processes (with Gaussian processes (with H(z) data)H(z) data)
The covariance function (kernel) whichcorrelates the function H(z) at different points
The Gaussian distribution presents a distributionof a random variable characterized by a meanand a covariance.
GP should be understood as a distribution overfunctions, characterized by a mean function anda covariance matrix.
Marina Seikel, Chris Clarkson, Mathew Smith, JCAP 06 (2012), 036
Ming-Jian Zhang, Jun-Qing Xia, JCAP 1612 (2016) no.12, 005
We use GaPP code by Marina Seikel et al...
Gaussian processesGaussian processes
Gaussian processesGaussian processes
Gaussian Processes (with Gaussian Processes (with H(z) data) - some applicationsH(z) data) - some applications
How we can use GP with IDE?
It is very simple task if EoS of DE is given
eventually the interaction term Q will beexpressed as a function of EoS of DE, theHubble parameter and its higher order derivatives
How we can use GP in case of CC?
Gaussian Processes (with Gaussian Processes (with H(z) data) - some applicationsH(z) data) - some applications
It is very simple task if EoS of DE is given andthe form of the particle creation is assumed
eventually the interaction term Q will beexpressed as a function of EoS of DE, theHubble parameter and its higher order derivativesand other parameters describing the particlecreation rate
How we can use GP in cosmology with particle creation when we have IDE ?
Our Dark Energy model and GP Our Dark Energy model and GP
Motivation of the research Our dark energy model
The main results obtained from direct numerical integration
But this is fully model dependent result!!!!!
q is the deceleration parameter
The result reported by the BOSS experimentfor the Hubble parameter at z = 2.34 is a directevidence for the existence of a non-gravitational coupling between dark energyand dark matter.
H(2.34) = 222 ± 7
H(2.34) = 222 ± 7 result can be explained without interactionand
the EoS we have considered is in no way strange
T. Delubac et al. [BOSS Collaboration], Astron. Astrophys. 574 (2015), A59
E. G. M. Ferreira, J. Quintin, A. A. Costa, E. Abdalla and B. Wang, Phys. Rev. D 95 (2017) no.4, 043520
E. Elizalde, M. Khurshudyan, S. Nojiri, IJMPD (2018)
Interacting Dark Energy models and GP Interacting Dark Energy models and GP
How we can use GP with IDE?
It is very simple task if EoS of DE is given
eventually the interaction term Q will beexpressed as a function of EoS of DE,the Hubble parameter and its higherorder derivatives
Conclusion from this studyConclusion from this studyThe main message from direct numerical integration
1. The model can explain reported value of the Hubble parameter without non-gravitational interaction.
2. The EoS we have considered is in no way strange
The main message from GP
1. we need in this case to involve anon-gravitational interaction betweendark energy and dark matter, to explainthe mentioned value of the Hubbleparameter.
2. However, even if it would seem we doneed to include a non-gravitationalinteraction, this occurs for redshiftsnot covered by recent H(z) data.
we do not have a final answer tothe main question!!!!!
Some resultsSome results
1. The model according 68% C.L. of the reconstruction with 40 sample H(z) data can be accepted.
2. The model according 68% C.L. of the reconstruction with 30 sample H(z) data can be accepted.
3. According to that, either a
or an ω -singularity (Type V) can be generated
S. Nojiri, S. D. Odintsov and S. Tsujikawa, Phys. Rev. D 71 (2005) 063004M. P. Dabrowski and T. Denkiewicz, Phys. Rev. D 79 (2009) 063521L. Fernandez-Jambrina, Phys. Lett. B 656 (2007) 9
Some other resultsSome other results
The phase space analysis with and gives
ConclusionConclusion
We made an attempt to construct a dark energy model explicitly parametrised by the decelerationparameter. In this way we initiated a fresh direction of research concerning to dynamical dark energymodels.
A detailed study shows that the model (by the direct integration of the field equations) is viable andindicates that we do not need to involve non-gravitational interaction to explain the BOSSexperiment result concerning to Hubble parameter at z = 2.34.
We performed also a model independent analysis using GP and found that in order to address theBOSS experiment issue we need data covering higher redshifts.
On the other hand, we performed the phase space analysis of the models for several forms ofnon-gravitational interaction indicating how the cosmological coincidence problem can besolved.
We have also the classification of the future finite-time singularities for suggested model.
Thank You for Your attention