The Nature of Dark Energy David Weinberg Ohio State University Based in part on Kujat, Linn, Scherrer, & Weinberg 2002, ApJ, 572, 1.

Slides:



Advertisements
Similar presentations
Current Observational Constraints on Dark Energy Chicago, December 2001 Wendy Freedman Carnegie Observatories, Pasadena CA.
Advertisements

Observational Constraints on Sudden Future Singularity Models Hoda Ghodsi – Supervisor: Dr Martin Hendry Glasgow University, UK Grassmannian Conference.
This has led to more general Dark Energy or Quintessence models: Evolving scalar field which ‘tracks’ the matter density Convenient parametrisation: ‘Equation.
Observational Cosmology - a laboratory for fundamental physics MPI-K, Heidelberg Marek Kowalski.
Non-linear matter power spectrum to 1% accuracy between dynamical dark energy models Matt Francis University of Sydney Geraint Lewis (University of Sydney)
Daniel Schmidt, Liberty University
Observational Cosmology - a unique laboratory for fundamental physics Marek Kowalski Physikalisches Institut Universität Bonn.
PRESENTATION TOPIC  DARK MATTER &DARK ENERGY.  We know about only normal matter which is only 5% of the composition of universe and the rest is  DARK.
1 Studying clusters and cosmology with Chandra Licia Verde Princeton University Some thoughts…
Lecture 2: Observational constraints on dark energy Shinji Tsujikawa (Tokyo University of Science)
Cosmology Overview David Spergel. Lecture Outline  THEME: Observations suggest that the simplest cosmological model, a homogenuous flat universe describes.
PRE-SUSY Karlsruhe July 2007 Rocky Kolb The University of Chicago Cosmology 101 Rocky I : The Universe Observed Rocky II :Dark Matter Rocky III :Dark Energy.
July 7, 2008SLAC Annual Program ReviewPage 1 Future Dark Energy Surveys R. Wechsler Assistant Professor KIPAC.
K.S. Dawson, W.L. Holzapfel, E.D. Reese University of California at Berkeley, Berkeley, CA J.E. Carlstrom, S.J. LaRoque, D. Nagai University of Chicago,
Complementary Probes ofDark Energy Complementary Probes of Dark Energy Eric Linder Berkeley Lab.
Quintessence – Phenomenology. How can quintessence be distinguished from a cosmological constant ?
Cosmology with Galaxy Clusters Princeton University Zoltán Haiman Dark Energy Workshop, Chicago, 14 December 2001 Collaborators: Joe Mohr (Illinois) Gil.
1 L. Perivolaropoulos Department of Physics University of Ioannina Open page
Lecture 1: Basics of dark energy Shinji Tsujikawa (Tokyo University of Science) ``Welcome to the dark side of the world.”
1 What is the Dark Energy? David Spergel Princeton University.
Dark Energy and the Inflection Points of Cosmic Expansion in Standard and Brane Cosmologies Daniel Schmidt, Liberty University Cyclotron Institute--Texas.
Weak Gravitational Lensing by Large-Scale Structure Alexandre Refregier (Cambridge) Collaborators: Richard Ellis (Caltech) David Bacon (Cambridge) Richard.
Dark Energy Bengt Gustafsson: Current problems in Astrophysics Lecture 3 Ångström Laboratory, Spring 2010.
The Science Case for the Dark Energy Survey James Annis For the DES Collaboration.
Eric V. Linder (arXiv: v1). Contents I. Introduction II. Measuring time delay distances III. Optimizing Spectroscopic followup IV. Influence.
Polarization-assisted WMAP-NVSS Cross Correlation Collaborators: K-W Ng(IoP, AS) Ue-Li Pen (CITA) Guo Chin Liu (ASIAA)
Modern State of Cosmology V.N. Lukash Astro Space Centre of Lebedev Physics Institute Cherenkov Conference-2004.
Dark Energy The first Surprise in the era of precision cosmology?
Dark energy I : Observational constraints Shinji Tsujikawa (Tokyo University of Science)
Relic Neutrinos, thermal axions and cosmology in early 2014 Elena Giusarma arXiv: Based on work in collaboration with: E. Di Valentino, M. Lattanzi,
Constraining the Dark Side of the Universe J AIYUL Y OO D EPARTMENT OF A STRONOMY, T HE O HIO S TATE U NIVERSITY Berkeley Cosmology Group, U. C. Berkeley,
How can CMB help constraining dark energy? Licia Verde ICREA & Institute of space Sciences (ICE CSIC-IEEC)
Observational Probes of Dark Energy Timothy McKay University of Michigan Department of Physics Observational cosmology: parameters (H 0,  0 ) => evolution.
PREDRAG JOVANOVIĆ AND LUKA Č. POPOVIĆ ASTRONOMICAL OBSERVATORY BELGRADE, SERBIA Gravitational Lensing Statistics and Cosmology.
Clustering in the Sloan Digital Sky Survey Bob Nichol (ICG, Portsmouth) Many SDSS Colleagues.
The dark universe SFB – Transregio Bonn – Munich - Heidelberg.
Our Evolving Universe1 Vital Statistics of the Universe Today… l l Observational evidence for the Big Bang l l Vital statistics of the Universe   Hubble’s.
University of Durham Institute for Computational Cosmology Carlos S. Frenk Institute for Computational Cosmology, Durham Galaxy clusters.
PHY306 1 Modern cosmology 4: The cosmic microwave background Expectations Experiments: from COBE to Planck  COBE  ground-based experiments  WMAP  Planck.
Constraining Cosmology with Peculiar Velocities of Type Ia Supernovae Cosmo 2007 Troels Haugbølle Institute for Physics & Astronomy,
Using Baryon Acoustic Oscillations to test Dark Energy Will Percival The University of Portsmouth (including work as part of 2dFGRS and SDSS collaborations)
Type Ia Supernovae and the Acceleration of the Universe: Results from the ESSENCE Supernova Survey Kevin Krisciunas, 5 April 2008.
Ay 123 Lecture 11 - Supernovae & Neutron Stars Timescales for HS Burning faster and faster..
23 Sep The Feasibility of Constraining Dark Energy Using LAMOST Redshift Survey L.Sun Peking Univ./ CPPM.
Cosmic shear and intrinsic alignments Rachel Mandelbaum April 2, 2007 Collaborators: Christopher Hirata (IAS), Mustapha Ishak (UT Dallas), Uros Seljak.
The Feasibility of Constraining Dark Energy Using LAMOST Redshift Survey L.Sun.
The dark side of the Universe: dark energy and dark matter Harutyun Khachatryan Center for Cosmology and Astrophysics.
Astro-2: History of the Universe Lecture 10; May
PHY306 1 Modern cosmology 2: More about Λ Distances at z ~1 Type Ia supernovae SNe Ia and cosmology Results from the Supernova Cosmology Project, the High.
Complementary Probes of Dark Energy Josh Frieman Snowmass 2001.
Jochen Weller XLI Recontres de Moriond March, 18-25, 2006 Constraining Inverse Curvature Gravity with Supernovae O. Mena, J. Santiago and JW PRL, 96, ,
How Different was the Universe at z=1? Centre de Physique Théorique, Marseille Université de Provence Christian Marinoni.
Dark Energy and baryon oscillations Domenico Sapone Université de Genève, Département de Physique théorique In collaboration with: Luca Amendola (INAF,
1 1 Dark Energy with SNAP and other Next Generation Probes Eric Linder Berkeley Lab.
Cosmology with Supernovae Bruno Leibundgut European Southern Observatory.
FIRST LIGHT A selection of future facilities relevant to the formation and evolution of galaxies Wavelength Sensitivity Spatial resolution.
Brenna Flaugher for the DES Collaboration; DPF Meeting August 27, 2004 Riverside,CA Fermilab, U Illinois, U Chicago, LBNL, CTIO/NOAO 1 Dark Energy and.
Probing Dark Energy with Cosmological Observations Fan, Zuhui ( 范祖辉 ) Dept. of Astronomy Peking University.
Dark Conclusions John Peacock Dark Energy X 10 STScI, May          
Dark Energy: The Observational Challenge David Weinberg Ohio State University Based in part on Kujat, Linn, Scherrer, & Weinberg 2002, ApJ, 572, 1.
Cheng Zhao Supervisor: Charling Tao
Lecture 23: The Acceleration of the Universe Astronomy 1143 – Spring 2014.
The HORIZON Quintessential Simulations A.Füzfa 1,2, J.-M. Alimi 2, V. Boucher 3, F. Roy 2 1 Chargé de recherches F.N.R.S., University of Namur, Belgium.
Probing the Coupling between Dark Components of the Universe
Recent status of dark energy and beyond
Cosmology with Supernovae
Carlo Baccigalupi, SISSA
Ay 123: Supernovae contd...
Measurements of Cosmological Parameters
6-band Survey: ugrizy 320–1050 nm
Presentation transcript:

The Nature of Dark Energy David Weinberg Ohio State University Based in part on Kujat, Linn, Scherrer, & Weinberg 2002, ApJ, 572, 1

Riess et al. 2004, astro-ph/ The current SN Ia evidence

Is dark energy here to stay? Four lines of evidence: 1.Type Ia Supernova Hubble diagram Inconsistent with  m =0,   =0 (~0.15 mag) More inconsistent with  m =0.3,   =0 (~0.25 mag) Strongly inconsistent with  m =1,   =0 (~0.4 mag) Local observations suggest evolutionary effects unimportant at 0.1 mag level

Is dark energy here to stay? Four lines of evidence: 1.Type Ia Supernova Hubble diagram CMB acoustic peak implying  tot  , combined with 2. Age of globular clusters and H 0  70 km s -1 Mpc -1 or 3. Dynamical evidence that  m < 0.5

Is dark energy here to stay? Four lines of evidence: 1. Type Ia Supernova Hubble diagram 2. CMB + age of globular clusters and H 0  70 km s -1 Mpc CMB + dynamical evidence that  m < Overall success of  CDM Cosmological model with inflation, CDM,  m  0.3,    0.7, agrees with wide range of CMB and large scale structure observations, in addition to above.

Is dark energy here to stay? Four lines of evidence: 1. Type Ia Supernova Hubble diagram 2. CMB + age of globular clusters and H 0  70 km s -1 Mpc CMB + dynamical evidence that  m < Overall success of  CDM Likely answer: YES.

Why is dark energy so surprising? The Cosmological Constant Problem “Naïve” calculation predicts  vac ~ M Planck / l 3 Planck ~  m Only “natural” number ~ is zero The Dark Energy Problem Observations suggest that  vac ~ (10 -3 eV) 4 ~ erg cm -3 No known physics naturally yields this energy scale; all current models of dark energy are ad hoc The Coincidence Problem For a cosmological constant,   /  m  a 3. Why are   and  m comparable today?

Kinds of proposed solutions True value of fundamental vacuum energy is  vac ~ (10 -3 eV) 4 True value of fundamental vacuum energy is zero. Observed “dark energy” is a new scalar field or other component (quintessence, k-essence, spintessence, string network, …) Value of fundamental vacuum energy varies throughout “multiverse”; anthropic selection requires small local value. Back reaction causes fundamental value of vacuum energy to oscillate in time; accelerated and decelerated phases alternate. Friedmann equation is wrong (extra dimensions?). Any solution involves fundamental revision of physics, maybe clues to string theory, extra dimensions, etc.

Dark energy and cosmic expansion Dark energy changes cosmic expansion via the Friedmann eqn:

Dark energy and cosmic expansion Current data consistent with  m =0.3,   =0.7,  k =0 w = –1    = constant Can we detect evidence for w  –1     constant ? Can we detect evidence for w  constant     (1+z) n ?

Expansion history observables Hubble parameter Distance Age Linear growth factor:

Expansion history observables Hubble parameter H(z) Distance d A (z) Age t(z) Linear growth factor D 1 (z) normalized to present-day amplitude or to CMB amplitude Nearly all proposed dark energy tests measure one of these observables or some combination thereof, e.g., Volume element: V(z)  d A 2 (z) / H(z) Alcock-Paczynski parameter: h(z)  H(z) d A (z)

Measurement overview Parameter space:  m,, w, w’,  k For given observable and redshift,  m and w are degenerate Multiple redshifts or observables can break degeneracy Other LSS & CMB methods can also constrain  m Interesting w constraints require ~2% precision (& accuracy) Demonstrating non-zero w’ very difficult. Requires showing    (1+z) n. Not much complementarity of different observables.

Measurement methods: distance Type Ia supernovae Type IIp supernovae Radio galaxy angular diameters Cluster Sunyaev-Zel’dovich effect + X-ray Volume-redshift test with galaxy redshift survey (e.g. DEEP2) Characteristic scale in angular clustering – e.g., turnover, baryon wiggles Amplitude of cluster angular correlation function Amplitude of transverse Lyman-alpha forest correlations Strong gravitational lensing statistics Properties of well understood gravitational lenses Angular scale of first acoustic peak in CMB

Measurement methods: Hubble parameter Lyman-alpha forest: width and separation of features, curvature scale of power spectrum, measured in km/s. High-z galaxy redshift surveys: features in power spectrum, measured in km/s. Differential galaxy ages between neighboring redshifts: yields dz/dt = – (1+z) H(z). Weak lensing bispectrum: sensitive to  m (z). Combining with  m,0 yields  c (z) = 3H 2 (z) / 8  G. Alcock-Pacyznski test measures d A (z) H(z), can be applied to quasars, Lyman-alpha forest, galaxies, Sloan LRGs.

Measurement methods: linear growth factor Evolution of cluster “mass” function, via X-ray, SZ, weak lensing, mass-calibrated richness. Systematic uncertainty in masses is the key issue. Cosmic shear power spectrum. Lyman-alpha forest flux power spectrum. CMB anisotropy amplitude. Require (or at least benefit from) good measurement of fluctuation amplitude at z=0 (i.e.,  8,matter )

What has HST contributed? Improved determination of H 0. Light curves of some ground-based SN detections. Template images of host galaxies of ground-based SN. Discovery and light curves of supernovae at z > 1.

What more could HST contribute? More template images of ground-based SN hosts. More light curves of ground-based SN. More discovery and light curves of supernovae at z > 1. Distance measurements from cluster multiple arc systems. Cosmic shear surveys to measure w via growth factor evolution. Weak lensing cluster masses to measure w via growth factor.

What more should HST contribute? Support of ground-based SN if improved precision is substantial. Cosmic shear surveys to measure w via growth factor evolution. Weak lensing cluster masses to measure w via growth factor. Not competitive with ground-based measurements. Distance measurements from cluster multiple arc systems. Usefulness still to be demonstrated. More discovery and light curves of supernovae at z > 1?

What more should HST contribute? More discovery and light curves of supernovae at z > 1? Won’t compete with ground-based surveys for precision on w. Very unlikely to demonstrate redshift dependence of w.

Conclusions Dark energy is: Here to stay. Surprising. A possibly unique window into fundamental physics. Nearly all proposed observational tests measure some combination of H(z), d(z), linear growth factor.  m & w have degenerate effects. Multiple observables or multiple redshifts can lift degeneracy. Demonstration of time-dependent w unlikely, at least pre-SNAP. Figure of merit should therefore be precision on (constant) w. HST has played important role, but may not compete with ground-based surveys on this figure of merit.