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Running vacuum model in non-flat universe Yan-Ting Hsu National - - PowerPoint PPT Presentation

Running vacuum model in non-flat universe Yan-Ting Hsu National Tsing Hua University NCTS Dark Physics Workshop (January 10, 2020) Outline Motivation Running vacuum model (RVM) in non-flat universe Numerical results for RVM


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SLIDE 1

Running vacuum model in non-flat universe

Yan-Ting Hsu National Tsing Hua University NCTS Dark Physics Workshop (January 10, 2020)

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SLIDE 2

Outline

  • Motivation
  • Running vacuum model (RVM) in non-flat universe
  • Numerical results for RVM
  • Theoretical CMB power spectra
  • Global fitting of cosmological parameters with
  • bservational data
  • Conclusion
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SLIDE 3

Outline

  • Motivation
  • Running vacuum model (RVM) in non-flat universe
  • Numerical results for RVM
  • Theoretical CMB power spectra
  • Global fitting of cosmological parameters with
  • bservational data
  • Conclusion
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SLIDE 4

Spatially-flat models

  • Ξ›CDM model
  • Fine-tunning problem
  • Coincidence problem
  • Dynamical dark energy models
  • πœΞ› varies with time
  • Alleviate Hubble tension and 𝜏8 tension
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SLIDE 5

Non-flat universe

  • Planck 2018 data favor closed universe at more than 99% confidence

level.

[E. D. Valentino et al. , Nat. Astron. (2019)] Ω𝐿 = 0 Ω𝐿 = βˆ’0.0045

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SLIDE 6

Non-flat models

  • Ω𝐿 is also dynamical.
  • There is degeneracy between Ω𝐿 and other

parameters.

  • Motivate us to study on dynamical dark energy

models in non-flat universe and find constraints of cosmological parameters.

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SLIDE 7

Outline

  • Motivation
  • Running vacuum model (RVM) in non-flat universe
  • Numerical results for RVM
  • Theoretical CMB power spectra
  • Global fitting of cosmological parameters with
  • bservational data
  • Conclusion
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SLIDE 8

Friedmann equations

  • Einstein’s equation is reduced to Friedmann equations in

homogeneous and isotropic universe.

  • Density parameters
  • Equation of state in RVM
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SLIDE 9

Running vacuum model (RVM)

  • Running vacuum model (RVM)

πœΞ› is defined as a function of the Hubble parameter πœΞ› transfer energy to matter and radiation as the evolution of the universe

  • RVM in flat universe
  • RVM in non-flat universe
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SLIDE 10

Running vacuum model (RVM)

  • Energy exchanges between components
  • Evolutions of energy densities
  • The component of πœΞ› in RVM is the same in flat and non-flat

universe

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SLIDE 11

Outline

  • Motivation
  • Running vacuum model (RVM) in non-flat universe
  • Numerical results for RVM
  • Theoretical CMB power spectra
  • Global fitting of cosmological parameters with
  • bservational data
  • Conclusion
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SLIDE 12

Method to find constraints

  • CAMB package ( by Antony Lewis ) :
  • Code for Anisotropies in the Microwave Background
  • Solve Boltzmann equations and compute theoretical CMB

power spectra and matter power spectrum with a given set of cosmological parameters.

  • We modify the background density evolutions and

evolution of the density perturbation.

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Theoretical CMB power spectra

  • RVM will reduce to Ξ›CDM when πœ‘ = 0 and Ω𝐿 = 0.
  • 0.0 < πœ‘ < 0.001 and 0.0 > Ω𝐿 > βˆ’0.01 fit well to Planck 2018 data.
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Theoretical CMB power spectra

  • Residues with respect to Ξ›CDM in flat universe.
  • Degeneracy between πœ‘ = 0.001 , Ω𝐿 = 0.0 (green solid line) and

πœ‘ = 0.0 , Ω𝐿 = βˆ’0.01 (purple dashed line).

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SLIDE 15

Outline

  • Motivation
  • Running vacuum model (RVM) in non-flat universe
  • Numerical results for RVM
  • Theoretical CMB power spectra
  • Global fitting of cosmological parameters with
  • bservational data
  • Conclusion
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Method to find constraints

  • CosmoMC package ( by Antony Lewis ) :
  • Markov-Chain Monte-Carlo (MCMC) engine
  • Fit the model from the observational data and give the

constraints on cosmological parameters.

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Method to find constraints

  • Data sets
  • CMB: Planck 2015

(TT, TE, EE, lowTEB, low-l polarization from SMICA)

  • BAO: baryon acoustic oscillation data from 6dF Galaxy

Survey and BOSS

  • SN: supernovae data from (JLA) compilation
  • WL: weak lensing data form CFHTLenS
  • π‘”πœ8 data
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Global fitting in non-flat universe

  • In non-flat universe, RVM and Ξ›CDM

are in consistent with πœ“2 fitting.

  • The 𝜏8 tension between data sets is

alleviated in RVM.

Constraint at 99% C.L. ( Ξ½ constraint in 68% C.L. )

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SLIDE 19

Global fitting in non-flat universe

  • We constraint πœ‰ ≀ 𝑃 10βˆ’4

and |Ω𝐿| ≀ 𝑃(10βˆ’2) for RVM in non-flat universe.

  • Compare with RVM in flat

universe in previous work:

  • The constraints of πœ‰ and Οƒ π‘›πœ‰ is

relaxed in non-flat universe.

  • The constraints of πœ‰ and Οƒ π‘›πœ‰ is
  • f the same order as in flat

universe.

Constraint at 99% C.L. ( Ξ½ constraint in 68% C.L. )

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SLIDE 20
  • ------Ξ›CDM
  • ------RVM

Ξ©π‘β„Ž2 Ξ©π‘‘β„Ž2 Ο„ Ω𝐿 Οƒ π‘›πœ‰ 104πœ‰ 𝐼0 𝜏8

Non-zero lower bound of neutrino mass ( Οƒ π‘›πœ‰ >0.009 eV for RVM and Οƒ π‘›πœ‰ >0.110 eV for Ξ›CDM ) when fit with CMB+BAO+SN+WL+π‘”πœ8 data

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Outline

  • Motivation
  • Running vacuum model (RVM) in non-flat universe
  • Numerical results for RVM
  • Theoretical CMB power spectra
  • Global fitting of cosmological parameters with
  • bservational data
  • Conclusion
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Conclusion

  • In non-flat universe, RVM and Ξ›CDM are in consistent with πœ“2 fitting.
  • The constraints of πœ‰ in RVM does not broaden significantly when

curvature is involved.

  • Involvement of curvature provide us a chance to get non-zero lower

bound of neutrino mass in cosmological models.

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SLIDE 23

THANK YOU