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CMB lensing and cosmic acceleration

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From CMB to dark energy. Results and forecasts. small deflection ... RESULTS FOR THE QUINTESSENCE MODELS. no anisotropic stress. basically geometry effects ... – PowerPoint PPT presentation

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Title: CMB lensing and cosmic acceleration


1
CMB lensingand cosmic acceleration
  • Viviana Acquaviva
  • SISSA, Trieste

2
Outline
  • Physics of lensing
  • From CMB to dark energy
  • Results and forecasts

3
geodesic equation
Einstein equations
small deflection angles ? WEAK LENSING
4
why lensing for dark energy?
us
r/H0-1
2
1
0
5
CMB lensing phenomenology
re-mapping
6
Temperature power spectrum
7
B polarization modes power spectrum
reionization
primordial GW
lensing
8
B polarization modes power spectrum
unbiased observable, tracking DE at lensing epoch
9
plan of our work
  • Formal extension of lensing framework
  • to generalized theories of gravity

VA, Baccigalupi and Perrotta 2004
2. Study of lensed B signal in different models
RP V(?) M4?/?? (aka IPL) Ratra
Peebles 2000 SUGRA V(?) M4?/?? e4?(?/Mpl)2
Brax Martin 2000
VA Baccigalupi 2005
10
technicalities ?
lensed correlation functions are obtained by a
convolution with a gaussian of arguments
Zaldarriaga Seljak 1998
11
RESULTS FOR THE QUINTESSENCE MODELS
no anisotropic stress basically geometry effects
tracking behaviour ? main dependence is on a
w0 - 0.9
tuned to get Geff G0
SAME PRIMORDIAL NORMALIZATION
12
Lensing kernel
different amount of dark energy at z 1
? significant deviation
Perturbation growth factor
13
TT power spectrum
only slight projection effect
EE power spectrum
14
COMPARISON OF B-MODES SPECTRA
IPL
SUGRA
30 difference in amplitude at peak
effect is due to B-modes sensitivity to DE
equation of state DERIVATIVE!
15
GETTING MORE QUANTITATIVE A FISHER MATRIX
ANALYSIS
ESTIMATOR OF ACHIEVABLE PRECISION
set of parameters ai
single spectrum
four spectra
F-1ij gives marginalized 1-s error on parameters
16
dark energy parametrization
Chevallier Polarski 2001, Linder Huterer 2005
fixing primordial normalization one has only
projection effects on TT,TE,EE spectra
B spectrum ? amplitude changes! ?
(sensitivity to dynamics at lower redshifts)
17
PARAMETERS
?CDM
SUGRA
  • w0 -1
  • w8 -1
  • ns 0.96
  • h0 0.72
  • t 0.11
  • Obh2 0.022
  • Om h2 0.11
  • A 1
  • w0 -0.9
  • w8 -0.4
  • ns 0.96
  • h0 0.72
  • t 0.11
  • Obh2 0.023
  • Om h2 0.12
  • A 1

EBEX-like experiment
18
v(F-1)ii
0.1
?CDM RESULTS
few 10-2
w0
310-3
610-2
w
310-3
5 10-2
810-5
ns
h0
710-4
few10-2
t
310-3
Obh2
210-3
210-2
Omh2
310-3
A
710-5
SUGRA RESULTS
510-4
v(F-1)ii
5.010-3
19
CONCLUSIONS AND FURTHER THOUGHTS
  • We can extract valuable information from
  • the lensed CMB spectra
  • The B-modes are the most faithful tracer
  • of the dark energy behaviour at intermediate
  • redshifts and can discriminate among models
  • We have a computational machine allowing us
  • to predict the lensed spectra of a wide
    range
  • of models
  • We expect to be able to rule out or select
  • models thanks to the next generation of CMB
  • polarization-devoted experiments
  • (EBEX, CMBpol, PolarBEar)

20
CONCLUSIONS AND FURTHER THOUGHTS
  • We can extract valuable information from
  • the lensed CMB spectra
  • The B-modes are the most faithful tracer
  • of the dark energy behaviour at intermediate
  • redshifts and can discriminate among models
  • We have a computational machine allowing us
  • to predict the lensed spectra of a wide
    range
  • of models
  • We expect to be able to rule out or select
  • models thanks to the next generation of CMB
  • polarization-devoted experiments
  • (EBEX, CMBpol, PolarBEar)

21
CONCLUSIONS AND FURTHER THOUGHTS
  • We can extract valuable information from
  • the lensed CMB spectra
  • The B-modes are the most faithful tracer
  • of the dark energy behaviour at intermediate
  • redshifts and can discriminate among models
  • We have a computational machine allowing us
  • to predict the lensed spectra of a wide
    range
  • of models
  • We expect to be able to rule out or select
  • models thanks to the next generation of CMB
  • polarization-devoted experiments
  • (EBEX, CMBpol, PolarBEar)

22
CONCLUSIONS AND FURTHER THOUGHTS
  • We can extract valuable information from
  • the lensed CMB spectra
  • The B-modes are the most faithful tracer
  • of the dark energy behaviour at intermediate
  • redshifts and can discriminate among models
  • We have a computational machine allowing us
  • to predict the lensed spectra of a wide
    range
  • of models
  • We expect to be able to rule out or select
  • models thanks to the next generation of CMB
  • polarization-devoted experiments
  • (EBEX, CMBpol, PolarBEar)

23
CONCLUSIONS AND FURTHER THOUGHTS
  • We can extract valuable information from
  • the lensed CMB spectra
  • The B-modes are the most faithful tracer
  • of the dark energy behaviour at intermediate
  • redshifts and can discriminate among models
  • We have a computational machine allowing us
  • to predict the lensed spectra of a wide
    range
  • of models
  • We expect to be able to rule out or select
  • models thanks to the next generation of CMB
  • polarization-devoted experiments
  • (EBEX, CMBpol, PolarBEar)

24
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25
(No Transcript)
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