Benasque 2012 Luca Amendola University of
1 / 1

Benasque 2012 Luca Amendola University of

Author : phoebe-click | Published Date : 2025-05-07

Description: Benasque 2012 Luca Amendola University of Heidelberg in collaboration with Martin Kunz Mariele Motta Ippocratis Saltas Ignacy Sawicki Horndeski Lagrangian too big to fail Benasque 2012 Observations are converging to an unexpected

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "Benasque 2012 Luca Amendola University of" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

Transcript:Benasque 2012 Luca Amendola University of:
Benasque 2012 Luca Amendola University of Heidelberg in collaboration with Martin Kunz, Mariele Motta, Ippocratis Saltas, Ignacy Sawicki Horndeski Lagrangian: too big to fail? Benasque 2012 Observations are converging… …to an unexpected universe Benasque 2012 Classifying the unknown, 1 Cosmological constant Dark energy w=const Dark energy w=w(z) quintessence scalar-tensor models coupled quintessence mass varying neutrinos k-essence Chaplygin gas Cardassian quartessence quiessence phantoms f(R) Gauss-Bonnet anisotropic dark energy brane dark energy backreaction void models degravitation TeVeS oops....did I forget your model? Benasque 2012 Classifying the unknown, 2 Lambda and w(z) models (i.e. change only the expansion) modified matter (i.e. change the way matter clusters) modified gravity (i.e. change the way gravity works) non-linear effects (i.e. change the underlying symmetries) Benasque 2012 Prolegomena zu einer jeden künftigen Metaphysik ©Kant Observational requirements: Isotropy Large abundance Slow evolution Weak clustering Physical requirements: Scalar field Prolegomena zu einer jeden künftigen Dark Energy physik ©Kant Benasque 2012 First found by Horndeski in 1975 rediscovered by Deffayet et al. in 2011 no ghosts, no classical instabilities it modifies gravity! it includes f(R), Brans-Dicke, k-essence, Galileons, etc etc etc The most general 4D scalar field theory with second order equation of motion Theorem 1: A quintessential scalar field Benasque 2012 equivalent to a Horndeski Lagrangian without kinetic terms easy to produce acceleration (first inflationary model) high-energy corrections to gravity likely to introduce higher-order terms particular case of scalar-tensor and extra-dimensional theory The simplest Horndeski model which still produces a modified gravity: f(R) Simplest MG: f(R) Benasque 2012 Theorem 2: the Yukawa correction Every Horndeski model induces at linear level, on sub-Hubble scales, a Newton-Yukawa potential where α and λ depend on space and time Every consistent modification of gravity based on a scalar field generates this gravitational potential Benasque 2012 The next ten years of DE research Combine observations of background, linear and non-linear perturbations to reconstruct as much as possible the Horndeski model … or to rule it out! Benasque 2012 The great Horndeski Hunt Let us assume we have only 1) pressureless matter 2) the Horndeski field and Benasque 2012 Background: SNIa, BAO, … Then we can measure H(z) and Then we can measure everything up to and therefore Benasque 2012 Two free functions At linear order we can write: Poisson’s equation anisotropic stress The most general linear, scalar metric Benasque 2012 Modified Gravity at the linear level scalar-tensor models standard gravity DGP f(R) Lue et

Download Document

Here is the link to download the presentation.
"Benasque 2012 Luca Amendola University of"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.

Related Presentations

Benasque 2012 1. Confinement-Induced Loss – Penultimate Limit in Plasmo Natural Resource Tagging with DHARMA Link creation and profile alignment in the Kotanjyan Geographic Programs Supporting the 2020 Census Gr-I-2011 Luca  Lista INFN Luca Pizzimento, University of Rome Tor The 2020 Census Local Update of Census AddressesOperation (LUCA)What I E.WildnerNUFACT08 School2 Dara Lee Luca PhD LUCA participation will provide significant benefits for Oregon cities