COSMOLOGY AS A TOOL FOR PARTICLE PHYSICS Roberto Trotta University of Oxford Astrophysics & Royal...
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Transcript of COSMOLOGY AS A TOOL FOR PARTICLE PHYSICS Roberto Trotta University of Oxford Astrophysics & Royal...
COSMOLOGYCOSMOLOGY
AS A TOOL AS A TOOL
FOR PARTICLE PHYSICSFOR PARTICLE PHYSICS
Roberto Trotta
University of Oxford
Astrophysics
&
Royal Astronomical Society
Vol. 302, 12/2003
«Cosmos Sits for Early Portrait, Gives Up Secrets» Feb. 12th, 2003
OutlineOutline
Towards precision cosmology
Neutrino properties from high quality
cosmological observations
Conclusions & Outlook
Cosmological observablesCosmological observables
10-32 s
3 mins
300’000 yrs
1 Gyr
13 Gyrs
Gravitational waves
BBN
Cosmic Neutrino Background
Supernovae Type Ia GRB’s Sunyaev Zel’dovich
Cosmic Microwave Background
Large Scale Structures Lensing Ly- systems Clusters counts
The Cosmic Microwave The Cosmic Microwave BackgroundBackground
Temperature fluctuation on the 2-sphere:
2-point correlation function:
Temperature power spectrum
Cosmology with the CMBCosmology with the CMB
The statistical distribution of temperature anisotropies described by the 2-point angular correlation function, or equivalently by the angular power spectrum
For Gaussian fluctuations (as predicted by inflation), the power spectrum contains the full statistical information.
Small fluctuations ) linear perturbation theory sufficient.
The power spectrum carries characteristic signatures of interesting physical quantities:
• baryon density• angular diameter distance (“curvature”)• matter-to-relativistic energy ratio• damping scale (diffusion length)
1st peak position (WMAP)
Cosmological Params (May 05)Cosmological Params (May 05)
Degeneracy breaking crucial
Combining CMB + SDSS + HST + SNIa
Post
eri
or
pro
babili
ty
Inflationary paradigmInflationary paradigm
B-polarization smoking gun !
Direct detection: LIGO, Virgo, LISA
Flatness tot = 1.02 § 0.02Bayesian evidence 18 : 1
Non-Gaussianity -58 < fnl < 134inflation » 10-5
curvaton » 1Planck (2007) > 5
Non-adiabaticity isocurvature < 33%Bayesian evidence > 1000 : 1in favor of adiabatic pert’ons
Scale invariance ns = 0.95 § 0.03Planck (2007): 90% chance of disprovingscale invariance with high evidence
Gravity waves ? r10 < 0.35Einf < 10-5 Mpl
The hidden assumptionsThe hidden assumptions
BBN b » 0.022
HST0.72§0.08
Assumptions about initial fluctuationscrucial for precision cosmology
RT, Riazuelo & Durrer (2001)RT & Durrer (2004)Beltran et al (2004)
Precision cosmology: < 2% error on most parameters
Pre-WMAP (2001), but still qualitatively the case
Polarization saves the day
Exploring
the cosmic
neutrino
background
What good is cosmology?What good is cosmology?
Impact of (light) neutrinos on cosmological observables:
Background: relativistic energy drives expansion early on
Clustering / structure formation:free stream properties (mass/viscosity/couplings)
Initial conditions: isocurvature (entropy) perturbations
log
log a
= const
rad ~ a - 4
mat ~ a - 3
time
radiationdominated
matterdominated
lambdadominated
Massless familiesMassless families
CERN, 1991: N = 2.994 § 0.012
WMAP+ : 2.4 < N < 6.8 (2) BBN : 2.8 < N < 3.2
Matter/radiation equality affected
Neutrino massesNeutrino masses
Mass hierarchy:
m122 » 8 x 10-5 eV2
m232 » 2.6 x 10-3 eV2
Absolute mass:
Tritium decay
m e < 2.3 eV (95% cl)
Cosmology :
m < O(1) eV
Structure washed out below scales knr » (m )1/2 (m h2 )1/2
While relativistic, neutrinosfree-stream out of fluctuations
Hu, Eisenstein & Tegmark 1998
Detecting the CNBDetecting the CNB
cvis2 = 1/3 : radiative viscosity
free streaming
cvis2 = 0 : perfect fluid
no anisotropic stress (eg, CDM coupling)
acoustic oscillations
Viscosity parameter cvis2: controls the free-streaming behaviour
Hu 1998
RT & Melchiorri 2004
Positive evidence for a CNBPositive evidence for a CNB
CMB + SLOAN
cvis2 = 0 clearly disfavored (about 2
Bayesian model comparison: cvis2 = 1/3 favored
with odds 2:1
CMB+SDSS
CMB alone
CMB+SDSS
CMB alone
+BBN
Assuming N = 3
RT & Melchiorri 2004
Automatic Occam’s razorAutomatic Occam’s razor
CNB
RT 2005
Model comparison tools to assess the need for new parameters
0
Mis
matc
h w
ith
pre
dic
tion
ns : scale invariance
: flatness
fiso : adiabaticity
Prospects for precision Prospects for precision cosmologycosmology
Temperature alone
Polarization alone
Almost orthogonal degeneracies
Polarization lifts flat directions in Temperature
Constraints improve significantly
Many polarization-dedicated experiments upcoming (2005-07):
POLARBEAR (2005): 100 < ell < 1400
QUEST (2005): 100 < ell < 1000 Bicep (2005): 10 < ell < 1000 SPOrt (ISS, 2005?): full sky Planck (2007): up to ell = 2000
Conclusions and OutlookConclusions and Outlook
Cosmology is a data-driven fielddata-driven field with much more to come
Moving on from parameter fitting to model testing and
model selection
Combination of data-sets allows cross-validation and
checks of systematics
Subtle physics of the Concordance Model and beyond
being stringently tested. Expect advances on neutrinos, dark energy/matterdark energy/matter, brane--worlds, cosmic strings, topology,
axis of evil (?)
Watch out for:correlations between observations, high quality polarization data, high quality polarization data,
lensing, lensing, GW