HTML Injection Attacks: Impact and Mitigation Strategies
Chris Clarkson - Dark Energy and Backreaction
1. backreaction in the concordance model
Chris Clarkson
Astrophysics, Cosmology & Gravitation Centre
University of Cape Town
Thursday, 26 January 12
2. key ingredients for cosmology
• universe homogeneous and isotropic on large scales (>100 Mpc)
• background dynamics determined by amount of matter + curvature present
(+ a theory of gravity)
• inflation lays down the seeds for structure formation from quantum
fluctuations
• works ... if we include a cosmological constant or ‘dark energy’
• matter + curvature not enough
Thursday, 26 January 12
6. 3 issues
•Averaging
•Coarse-graining of structure, such that small-scale effects are hidden
to reveal large scale geometry and dynamics.
•Backreaction
•Gravity gravitates, so local gravitational inhomogeneities may affect
the cosmological dynamics.
•Fitting
•How do we fit an idealized model to observations made from one
location in a lumpy universe, given that the ‘background’ does not in
fact exist? (Averaging observables is not same as spatial average)
Thursday, 26 January 12
7. scale of homogeneity of the dist
1 1 it seems 3natural to define the e
HD ⇤ ↵N ⇧ D = N ⇧Jd x , As pointed out in
matter flow.
3 3VD D
Averaging is difficult one introduces an ambiguity in
VD ⇤ Jd x is the Riemannian volume of D. The avereaging as m
3 expansions: the expansion oper
measured by observers comoving
•Define Riemannian averaging on ⌥. As mentionned before, the co
er the domain D: domain D
1 the matter distribution, so that
↵D = ↵↵ D ⇤ ↵(t, xi )Jd3 x ,the space-time metri
write down
VD D In the following we will then ret
scalar function ↵. One can then define the e⌥ective scale factor for
:
Riemannian volume ✏ element
⇣t aD where J ⇤ det(hij ) and VD ⇤
HD = . the Riemannian average over the
spatial average implies wrt
aD
some foliation of spacetime
that is well defined for any scala
how can average of a tensor preserve Lorentz invariance?
the function aD (t) obeying:
Thursday, 26 January 12
8. scale of homogeneity of the dist
1 1 it seems 3natural to define the e
HD ⇤ ↵N ⇧ D = N ⇧Jd x , As pointed out in
matter flow.
3 3VD D
Averaging is difficult one introduces an ambiguity in
VD ⇤ Jd x is the Riemannian volume of D. The avereaging as m
3 expansions: the expansion oper
measured by observers comoving
•Define Riemannian averaging on ⌥. As mentionned before, the co
er the domain D: domain D
1 the matter distribution, so that
↵D = ↵↵ D ⇤ ↵(t, xi )Jd3 x ,the space-time metri
write down
VD D In the following we will then ret
scalar function ↵. One can then define the e⌥ective scale factor for
: eg, to specify average
Riemannian volume ✏ element
energy density need ⇣t aD where J ⇤ det(hij ) and VD ⇤
full solution of the HD = . the Riemannian average over the
spatial average implies wrt
aD
field equations some foliation of spacetime
that is well defined for any scala
how can average of a tensor preserve Lorentz invariance?
the function aD (t) obeying:
Thursday, 26 January 12
13. Buchert backreaction
from non-local
variance of
local expansion
rate
Zalaletdinov
Thursday, 26 January 12
14. Buchert backreaction
from non-local
variance of
local expansion
rate
Zalaletdinov
Thursday, 26 January 12
15. Buchert backreaction
from non-local
variance of
local expansion
rate
Zalaletdinov
macroscopic Ricci
correlation tensor
Thursday, 26 January 12
16. Another view of the averaging problem
on l ity d ay
e nd ati ua to Hubble radius
i nfl eq
averaging gives corrections here
Thursday, 26 January 12
17. Another view of the averaging problem
on l ity d ay
e nd ati ua to Hubble radius
i nfl eq
model = flat FLRW + averaging gives corrections here
perturbations
Thursday, 26 January 12
18. Another view of the averaging problem
on l ity d ay
nd ati
howfl do
e weua to
remove backreaction bits
Hubble radius
in eq
to get to ‘real’ background?
smoothed background today is not
same background as at end of inflation
?
model = flat FLRW + averaging gives corrections here
perturbations
Thursday, 26 January 12
19. Fitting isn’t obvious either
a single line of
sight gives D(z) {
averaged on the
Hubble rate along the
sky to give
line of sight
smooth ‘model’
Thursday, 26 January 12
21. Aren’t the corrections just ~10-5?
•No. Of course not. Λ is bs [Buchert, Kolb ...]
Thursday, 26 January 12
22. Aren’t the corrections just ~10-5?
•No. Of course not. Λ is bs [Buchert, Kolb ...]
•Yes. Absolutely. Those guys are idiots. [Wald, Peebles ...]
Thursday, 26 January 12
23. Aren’t the corrections just ~10-5?
•No. Of course not. Λ is bs [Buchert, Kolb ...]
•Yes. Absolutely. Those guys are idiots. [Wald, Peebles ...]
•Well, maybe. I’ve no idea what’s going on. [everyone else ... ?]
Thursday, 26 January 12
24. Aren’t the corrections just ~10-5?
•No. Of course not. Λ is bs [Buchert, Kolb ...]
•Yes. Absolutely. Those guys are idiots. [Wald, Peebles ...]
•Well, maybe. I’ve no idea what’s going on. [everyone else ... ?]
•Corrections from averaging enter Friedmann and Raychaudhuri
equations
•is this degenerate with ‘dark energy’?
•can we separate the effects [if there are any]?
•or ... is it dark energy? neat solution to the coincidence
problem
Thursday, 26 January 12
25. Could it be dark energy?
?
‘average’ expansion can
accelerate while local one
decelerates everywhere
regions with faster expansion dominate the volume over time
so, the average expansion will increase
Thursday, 26 January 12
26. Could it be dark energy?
?
‘average’ expansion can
accelerate while local one
decelerates everywhere
regions with faster expansion dominate the volume over time
so, the average expansion will increase
Thursday, 26 January 12
30. What to compute?
•general formalisms lack quantitative computability
•perturbative methods don’t give coherent picture
•but they do give predictions
Thursday, 26 January 12
32. Different aspects
•Non-linear perturbations [Newtonian vs non-Newtonian]
Thursday, 26 January 12
33. Different aspects
•Non-linear perturbations [Newtonian vs non-Newtonian]
•Relativistic corrections
•linear and non-linear
Thursday, 26 January 12
34. Different aspects
•Non-linear perturbations [Newtonian vs non-Newtonian]
•Relativistic corrections
•linear and non-linear
•backreaction from averaging
Thursday, 26 January 12
35. Different aspects
•Non-linear perturbations [Newtonian vs non-Newtonian]
•Relativistic corrections
•linear and non-linear
•backreaction from averaging
•corrections to observables
Thursday, 26 January 12
36. Canonical Cosmology
•compute everything as power series in small parameter ε
gµ⇥ = gµ⇥ + ⇥
¯ (1)
gµ⇥ + ⇥
2 (2)
gµ⇥ + · · ·
‘real’ spacetime second-order
first-order
‘background’ spacetime perturbation correction
FLRW
fit to ‘background’ observables - SNIa etc
Thursday, 26 January 12
37. Canonical Cosmology
•compute everything as power series in small parameter ε
gµ⇥ = gµ⇥ + ⇥
¯ (1)
gµ⇥ + ⇥
2 (2)
gµ⇥ + · · ·
‘real’ spacetime second-order
first-order
‘background’ spacetime perturbation correction
FLRW
how do these
?
fit in?
fit to ‘background’ observables - SNIa etc
Thursday, 26 January 12
39. so, ....
is it big or is it small ... ?
Thursday, 26 January 12
40. so, ....
is it big or is it small ... ?
(I don’t know either)
Thursday, 26 January 12
41. Simulations can’t see it
periodic BC’s and no
horizon give
Olbers paradox -
cancels backreaction
Thursday, 26 January 12
42. Simulations can’t see it
periodic BC’s and no
horizon give
Olbers paradox -
cancels backreaction
Thursday, 26 January 12
43. Perturbation theory
metric to second-order
Bardeen equation
no real backreaction from first-order perturbations
- average of perturbations vanish by assumption
Thursday, 26 January 12
44. Perturbation theory
metric to second-order
second-order potentials induced by first-order scalars
vectors and tensors give measure of relativistic corrections
Thursday, 26 January 12
45. Perturbation theory
metric to second-order
second-order potentials induced by first-order scalars
vectors and tensors give measure of relativistic corrections
Thursday, 26 January 12
48. induced tensors
bigger than
primordial [today]
Thursday, 26 January 12
49. backreaction as correction to the background
•second-order modes give non-trivial ‘backreaction’
•Hubble rate depends on
•What is it?
Thursday, 26 January 12
50. backreaction as correction to the background
•second-order modes give non-trivial ‘backreaction’
•Hubble rate depends on
•What is it?
Thursday, 26 January 12
51. backreaction as correction to the background
•second-order modes give non-trivial ‘backreaction’
•Hubble rate depends on
•What is it?
Thursday, 26 January 12
52. backreaction as correction to the background
•second-order modes give non-trivial ‘backreaction’
•Hubble rate depends on
•What is it?
determines amplitude
of backreaction
Thursday, 26 January 12
53. backreaction is concerned with the
homogeneous, average contributions
what does this depend on?
Thursday, 26 January 12
54. scaling behaviour d lity y
en ua da
to
eq Hubble radius
at first-order
scale increasing
Thursday, 26 January 12
58. amplitude of second-order contributions
large equality scale suppresses
backreaction - but overcomes
factor(s) of Delta
Thursday, 26 January 12
59. backreaction - expansion rate
•second-order modes give non-trivial backreaction
•Hubble rate depends on
•UV divergent terms don’t contribute on average [Newtonain]
•well defined and well behaved backreaction
•but, this is only well behaved because of the long radiation era
•what would we do if the equality scale were smaller?
Thursday, 26 January 12
60. on we wish to probe, and some subtleties arise because we have to
hen we examineto the Hubble we areat second-order
Change averagedHubble as a function of redshift as a fractional in twothe backgroundthe rate.
the rate rate interested things:
ed Friedmann equation. In the Friedmann Friedmann equation, and theinterested
FIG. 1: The
˘
Hubble rate
the Hubble rate H calculated from the ensemble-averaged
D
equationchange are left shows the Hubble rat
we to Hubble
eld equations asBothresult of and EdS models are considered, and the di erentcomponents indicated
directly, H . a concordance averaging, which are three new averaging schemes,
D
if we put R = 0, H still doesn’t have a UV divergence.
of dark energy, it is common to think of these as e⇥ective fluid or
S D
hese two agree up to rate
Normalised Hubble perturbative order, when we take the ensemble
as function of redshift
e given by the generalised Friedmann equation. For a given domain
from averaging Friedmann
veraged Hubble rate we might expect to find. When we present HD
equation
⇧
˘ 2
HD ⌅ HD (98)
Friedmann equation and then taken the square-root. This does not
(55) directly (but note that if we square Eq (55), take the ensemble
equality scale domain
he Hubble rate as calculated directly from the Friedmann equation).
ce’ of the Hubble rate, which may be defined by
Clarkson, Ananda & Larena, 0907.3377
2
[HD ] = HD 2 HD . (99)
⌥⌃ ⌥⌃ ˘
FIG. 2: Plots for H
D with RD = 1/kequality , RS = 0, with the variance included, as a function of redshif
Thursday, 26 January 12
62. effective fluid
•amplitudes apply to effective fluid approach [Baumann etal]
and Green and Wald [PPN]
•they claim backreaction is small from this
Thursday, 26 January 12
64. great!
backreaction is small ...
Thursday, 26 January 12
65. backreaction - acceleration rate
•other quantities are much stranger
•time derivative of the Hubble rate represented in the
deceleration parameter
•UV divergent terms do not cancel out
Thursday, 26 January 12
66. backreaction - acceleration rate
•other quantities are much stranger
•time derivative of the Hubble rate represented in the
deceleration parameter
•UV divergent terms do not cancel out
Thursday, 26 January 12
67. backreaction - acceleration rate
•other quantities are much stranger
•time derivative of the Hubble rate represented in the
deceleration parameter
•UV divergent terms do not cancel out
Thursday, 26 January 12
68. backreaction - acceleration rate
•other quantities are much stranger
•time derivative of the Hubble rate represented in the
deceleration parameter
•UV divergent terms do not cancel out
dominates backreaction
Thursday, 26 January 12
75. oh no!
backreaction is huge ...
but wait!
Thursday, 26 January 12
76. use observables - spatial averaging is meaningless!
•we fit our cosmology to an all-sky average of observed
quantities
•distance-redshift, number-count redshift, etc.
•if averaging/backreaction is significant then these should
fit to the wrong model (should use LTB metric!)
•can be computed using Kristian-Sachs approach
Thursday, 26 January 12
77. expectation value
observed deceleration governed by cut-off
Thursday, 26 January 12
78. expectation value
observed deceleration governed by cut-off
Thursday, 26 January 12
79. expectation value
observed deceleration governed by cut-off
Thursday, 26 January 12
81. UV cutoff
•modes below equality scale dominate effect - not physical
Thursday, 26 January 12
82. UV cutoff
•modes below equality scale dominate effect - not physical
•where should they be cut off?
Thursday, 26 January 12
83. UV cutoff
•modes below equality scale dominate effect - not physical
•where should they be cut off?
•inflation scale [last mode to leave the Hubble scale]?
backreaction >>>1
Thursday, 26 January 12
84. UV cutoff
•modes below equality scale dominate effect - not physical
•where should they be cut off?
•inflation scale [last mode to leave the Hubble scale]?
backreaction >>>1
•dark matter free-streaming scale? [~ pc] backreaction >>1
Thursday, 26 January 12
85. UV cutoff
•modes below equality scale dominate effect - not physical
•where should they be cut off?
•inflation scale [last mode to leave the Hubble scale]?
backreaction >>>1
•dark matter free-streaming scale? [~ pc] backreaction >>1
•‘spherical scale’ [Kolb]
Thursday, 26 January 12
86. UV cutoff
•modes below equality scale dominate effect - not physical
•where should they be cut off?
•inflation scale [last mode to leave the Hubble scale]?
backreaction >>>1
•dark matter free-streaming scale? [~ pc] backreaction >>1
•‘spherical scale’ [Kolb]
•virial ‘scale’ ~ Mpc’s [Baumann etal] - gives O(1) backreaction
Thursday, 26 January 12
87. wtf?
amplitude of backreaction determined purely from cut-off
virial scales only sensible cutoff O(1) backreaction
ignore them - maybe gauge or unphysical ?
Thursday, 26 January 12
94. ok ... so,
backreaction could be ...
anything ...
Thursday, 26 January 12
95. key questions
•convergence of perturbation theory function of equality
scale
•why are we so lucky?
•with less radiation, scales up to ‘virial scale’ must
contribute to backreaction - how would we compute this?
•model with no radiation era might be best model to
explore backreaction
Thursday, 26 January 12
96. What is the background?
Do observations measure the background?
What is ‘precision cosmology’?
Thursday, 26 January 12
97. Interfering with dark energy
•until we understand
backreaction precision
cosmology not secure
•what are we measuring?
•Zalaletdinov’s gravity
predicts decoupled
geometric and dynamical
curvature
•removes constraints on
dynamical DE
•evidence for acceleration
only provided by SNIa
Thursday, 26 January 12
98. a single line of
sight gives D(z) {
•We average this over the sky, and (re)construct model
- alternative aspect to ‘backreaction’
•average depends on z, so ‘looks’ spherically symmetric
and inhomogeneous
•would remove copernican constraints on void models!
•no need for LTB solution, kSZ constraints removed...
Thursday, 26 January 12
99. Conclusions Confusions
•Why are second-order perturbations so large?
•
•tells us that perturbation theory must be relativistic, not
Newtonian
•role of UV divergence must be understood to decide whether
backreaction is small - higher order or resummation methods
needed? must include tensors!
•do we need relativistic N-body replacement?
•what is the background? what is ‘precision cosmology’?
•‘void models’ may be mis-interpretation of backreaction ...
Thursday, 26 January 12
103. Curvature test for the Copernican Principle
• in FLRW we can combine Hubble rate and distance data to find curvature
2
[H(z)D (z)] 1
k =
[H0 D(z)]2
⇥
dL = (1 + z)D = (1 + z) dA
2
• independent of all other cosmological parameters, including dark energy
model, and theory of gravity
• tests the Copernican principle and the basis of FLRW (‘on-lightcone’ test)
⇥
C (z) = 1 + H 2
DD D 2
+ HH DD = 0
Clarkson, Basset & Lu, PRL 100 191303
Thursday, 26 January 12
104. Using age data to reconstruct H(z)
Shafieloo & Clarkson, PRD
Thursday, 26 January 12
105. Consistency Test for ΛCDM For flat ΛCDM mod-
d for all curvatures, where H(z) is given by the Friedmann equation,
els the slope of the distance data curve must satisfy
onsistency Test for ΛCDM For flat ΛCDM mod- lies outside the n-σ er
H(z) 2
H 2
m
1/ + Ωk (1 + z)3 + (1 − Ωm ). + Rearranging for
D=(z)of= (1 + z)3Ωm (1 +z)2 + ΩDE exp 3satisfy w(zdeviations from Λ, as
the A litmus test for flat ΛCDM
slope 0 Ωthe distance data curve must
z
1 )
dz ,
z) = 1/ wemhavez)3 + (1 − Ωm ). Rearranging for + z below for the general
Ωm Ω (1 + 0 1
Ωk The 2 If, on the other hand
we .have usual procedure is to postulate a several parameter form for w(z) and calculate
ernative method is to reconstruct w(z) by1 − D reconstructingfit for all suitable para
directly (z) the luminosity-distance
Ωm = w(z). Writing D(z) = (H ./c)(1 + z)−1d (z), we hav
1 − D (z) 2
[9? ] dL (z) Ωm = inverted to yield + z)
(5)
3 − 1]D (5) 20 that is good evidence
may be
[(1 + z)
[(1 .
3 − 1]D (z)2 (z) L
is that only one choic
2(1 + z)(1 + Ωk D )D − (1 + z) Ωk D + 2(1 + z)Ωk DD − 3(1 + Ωk D2 ) D
2 2 2
hin the flat ΛCDMflat ΛCDMwe measure D if we2 measure D to provide e
Within the paradigm, if paradigm, (z) at L (z) = 0 (z) at
2 [Ω + (1 + z)Ω ] D 2 − (1 + Ω D )} D
.
3 {(1 + z)
e z and calculate the rhs kof this equation, we should
m k
some z and calculate the rhs of this equation,parameterisation
ery we should
in the same answer independently of the for flat LCDM w(z) that ].could ne
this is constant redshift equation of state [? of
e-redshift curve D(z), we can reconstruct the dark energyof of the redshift Typicall
in
obtain the same answer independently
surement. Differentiating Eq. (5)ansatz used in [5],
ed ansatz for D(z), such as the Pade we then find that through various ensur
measurement. Differentiating Eq. (5) we then find that nated.
L (z) = ζD (z) + 3(1(1 + z)D α (1 − z) − 1 2 ] α
+ z)2 − (z)[1 + D (z)+
DL (z) = = ζD (z) √ 3(1 + z)2 D (z)[1 − D (z)2 ]the test To
L (z) flat ΛCDMγmodels. 2 − α − β −(6) .
+ +z+ Testing
= 0 for all β(1 + z) + 1 γ
strate that it will wo
have used then shorthandw(z) from Eq ΛCDM models.in Eq. (4) toisthe lum
e data, and the calculatesfor = 2[(1 + z)3 − 1]. a reconstruction method (6) g
= 0 ζ all flat (3). Such Note more
w(z) directly because we are fitting directly to the observable, and 3 can spot small The
this is completely independent of the value of Ωm . simulated data. vari
so
slate to dramatic a test for Λ as Zunckel & Clarkson, PRL, arXiv:0807.4304;Note err
mayWe this as variations in w(z). Unfortunately,param- + z) to larger and substit
use have used the shorthand ζ a this also leads − 1]. reported
follows: take = 2[(1 calculated
form this is directly. It is also Sahni L (z) which errors = 0 within .the e
see data. If etal 0807.3548 value of Ω
sedparameterising it completely not clear, however,= 0 theL (z)on our understand
by that for D(z) and fit to the independent of m
e taken most seriously. What is very nice about this method is that, if done in small re
f w(z) in a given useis independent of bins atΛ as z; this is not the case param-
We may bin this as a test for lower follows: take a for parameteri
grateeterised form for D(z)dand Bothto the data. If strong degeneracies
over redshift when calculating (z). fit methods suffer from L (z) = 0
Thursday, 26 January 12
106. Consistency Test for ΛCDM For flat ΛCDM mod-
d for all curvatures, where H(z) is given by the Friedmann equation,
els the slope of the distance data curve must satisfy
onsistency Test for ΛCDM For flat ΛCDM mod- lies outside the n-σ er
H(z) 2
H 2
m
1/ + Ωk (1 + z)3 + (1 − Ωm ). + Rearranging for
D=(z)of= (1 + z)3Ωm (1 +z)2 + ΩDE exp 3satisfy w(zdeviations from Λ, as
the A litmus test for flat ΛCDM
slope 0 Ωthe distance data curve must
z
1 )
dz ,
z) = 1/ wemhavez)3 + (1 − Ωm ). Rearranging for + z below for the general
Ωm Ω (1 + 0 1
Ωk The 2 If, on the other hand
we .have usual procedure is to postulate a several parameter form for w(z) and calculate
ernative method is to reconstruct w(z) by1 − D reconstructingfit for all suitable para
directly (z) the luminosity-distance
Ωm = w(z). Writing D(z) = (H ./c)(1 + z)−1d (z), we hav
1 − D (z) 2
[9? ] dL (z) Ωm = inverted to yield + z)
(5)
3 − 1]D (5) 20 that is good evidence
may be
[(1 + z)
[(1 .
3 − 1]D (z)2 (z) L
is that only one choic
2(1 + z)(1 + Ωk D )D − (1 + z) Ωk D + 2(1 + z)Ωk DD − 3(1 + Ωk D2 ) D
2 2 2
hin the flat ΛCDMflat ΛCDMwe measure D if we2 measure D to provide e
Within the paradigm, if paradigm, (z) at L (z) = 0 (z) at
2 [Ω + (1 + z)Ω ] D 2 − (1 + Ω D )} D
.
3 {(1 + z)
e z and calculate the rhs kof this equation, we should
m k
some z and calculate the rhs of this equation,parameterisation
ery we should
in the same answer independently of the for flat LCDM w(z) that ].could ne
this is constant redshift equation of state [? of
e-redshift curve D(z), we can reconstruct the dark energyof of the redshift Typicall
in
obtain the same answer independently
surement. Differentiating Eq. (5)ansatz used in [5],
ed ansatz for D(z), such as the Pade we then find that through various ensur
measurement. Differentiating Eq. (5) we then find that nated.
L (z) = ζD (z) + 3(1(1 + z)D α (1 − z) − 1 2 ] α
+ z)2 − (z)[1 + D (z)+
DL (z) = = ζD (z) √ 3(1 + z)2 D (z)[1 − D (z)2 ]the test To
L (z) flat ΛCDMγmodels. 2 − α − β −(6) .
+ +z+ Testing
= 0 for all β(1 + z) + 1 γ
strate that it will wo
have used then shorthandw(z) from Eq ΛCDM models.in Eq. (4) toisthe lum
e data, and the calculatesfor = 2[(1 + z)3 − 1]. a reconstruction method (6) g
= 0 ζ all flat (3). Such Note more
w(z) directly because we are fitting directly to the observable, and 3 can spot small The
this is completely independent of the value of Ωm . simulated data. vari
so
slate to dramatic a test for Λ as Zunckel & Clarkson, PRL, arXiv:0807.4304;Note err
mayWe this as variations in w(z). Unfortunately,param- + z) to larger and substit
use have used the shorthand ζ a this also leads − 1]. reported
follows: take = 2[(1 calculated
form this is directly. It is also Sahni L (z) which errors = 0 within .the e
see data. If etal 0807.3548 value of Ω
sedparameterising it completely not clear, however,= 0 theL (z)on our understand
by that for D(z) and fit to the independent of m
e taken most seriously. What is very nice about this method is that, if done in small re
f w(z) in a given useis independent of bins atΛ as z; this is not the case param-
We may bin this as a test for lower follows: take a for parameteri
grateeterised form for D(z)dand Bothto the data. If strong degeneracies
over redshift when calculating (z). fit methods suffer from L (z) = 0
Thursday, 26 January 12
107. A litmus test for flat ΛCDM
these are better fits to constitution data than LCDM
with Arman Shafieloo, PRD
Thursday, 26 January 12
108. A litmus test for flat ΛCDM
these are better fits to constitution data than LCDM
should be zero!
with Arman Shafieloo, PRD
Thursday, 26 January 12
109. A litmus testno dependence on Omega_m
for flat ΛCDM
these are better fits to constitution data than LCDM
should be zero!
with Arman Shafieloo, PRD
Thursday, 26 January 12