The multipole expansion of the local expansion rate Basheer Kalbouneh Christian Marinoni and Julien Bel Aix Marseille Univ Universit e de Toulon CNRS CPT Marseille France

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The multipole expansion of the local expansion rate
Basheer Kalbouneh, Christian Marinoni, and Julien Bel
Aix Marseille Univ, Universit´e de Toulon, CNRS, CPT, Marseille, France
(Dated: January 5, 2023)
We design a new observable, the expansion rate fluctuation η, to characterize deviations from the linear
relation between redshift and dUniverseistance in the local Universe. We also show how to compress the result-
ing signal into spherical harmonic coecients in order to better decipher the structure and symmetries of the
anisotropies in the local expansion rate. We apply this analysis scheme to several public catalogs of redshift-
independent distances, the Cosmicflows-3 and Pantheon data sets, covering the redshift range 0.01 <z<0.05.
The leading anisotropic signal is stored in the dipole. Within the standard cosmological model, it is interpreted
as a bulk motion (307 ±23 km/s) of the entire local volume in a direction aligned at better than 4 degrees with
the bulk component of the Local Group velocity with respect to the CMB. This term alone, however, provides
an overly simplistic and inaccurate description of the angular anisotropies of the expansion rate. We find that
the quadrupole contribution is non-negligible (50% of the anisotropic signal), in fact, statistically significant,
and signaling a substantial shearing of gravity in the volume covered by the data. In addition, the 3D structure
of the quadrupole is axisymmetric, with the expansion axis aligned along the axis of the dipole.
Implications for the determination of the H0parameter are discussed. We find that Hubble constant estimates
may show variation as high as H0=(4.1±1.1) km/s/Mpc between antipodal directions along the dipole axis.
In the case of the Pantheon sample, this systematic dierence is reduced to H0=(2.4±1.1) km/s/Mpc once
model-dependent correction for peculiar velocity flows are implemented. Notwithstanding, the axial anisotropy
in the general direction of the CMB dipole is still detected. We thus show how to optimally subtract redshift
anisotropies from Pantheon data in a fully model-independent way by exploiting the ηobservable. As a result,
the value of the best fitting H0is systematically revised upwards by nearly 0.7 km/s/Mpc (about 2σ) compared
to the value deduced from the Hubble diagram using the uncorrected observed redshift. The goodness of fit is
also improved.
PACS numbers:
I. INTRODUCTION
In accordance with the cosmological principle (CP), the
spatial sections of the Universe are maximally symmetric, that
is, rotationally and translationally invariant (e.g. [1]). This
statement about the symmetries of the Universe, sealed in the
Robertson & Walker line element, can only be interpreted in
a statistical sense, after convolving the spatial distribution of
matter with large smoothing kernels. This makes its empirical
confirmation dicult and subject to non-trivial systematicity.
Despite observational hurdles (e.g. [2]), convincing proofs
of isotropy are provided by the angular distribution of the tem-
perature fluctuations of the cosmic microwave background
(CMB) [3, 4]. Also, 3D supporting evidence continues to
grow as spectroscopic studies reveal the structure of ever
larger and deeper regions of the Universe [5–14]. Analysis
of the spatial distribution of supernovae, i.e. objects whose
distances are estimated using redshift independent techniques,
also provides tentative confirmation [15–22]. The nature of
the confirmations remains preliminary, however, and there is
no shortage of evidence to the contrary [23–37]. If some of
these signals are not statistically significant enough to reject
outright the CP, others appear as improbable in the framework
of the standard cosmological model.
However, it has long been known that in the local outskirts
Electronic address: basheer.kalbouneh@cpt.univ-mrs.fr,
christian.marinoni@cpt.univ-mrs.fr, julien.bel@cpt.univ-mrs.fr
of the Milky Way, at scales r<150h1Mpc, the CP is violated
(e.g. [38, 39]). This region represents about half of the volume
used to determine the Hubble parameter H0, a fundamental
constant of the standard model and a consequence of the cos-
mological principle hypothesis. Traditionally, deviations from
CP predictions are treated perturbatively by expanding the
cosmological quantities into a smooth background component
and a fluctuating part. Among the latter, a central role is occu-
pied by peculiar velocities. These super-Hubble motions con-
tain a lot of interesting cosmological information (e.g.[40])
and indeed their amplitude confirms that the deviations from
the CP are in general agreement with the limits imposed by
the perturbation theory of the standard cosmological model
(e.g. [41–44]). However, it was soon realised that many sub-
tle systematic errors, if not properly subtracted, can compro-
mise their use as ecient cosmological probes; non-Gaussian
issues, homogeneous and in-homogeneous Malmquist biases,
incompleteness of mass catalogs used to predict the amplitude
of peculiar velocities are among the pitfalls that most hamper
the analysis [45].
In order to free the investigation of local inhomogeneities
from certain statistical and observational complications, we
explore in this paper another direction. We develop a com-
pletely non-perturbative approach to inhomogeneities that fo-
cuses directly on the scale factor of the Universe as a rele-
vant variable to quantify deviations from uniformity (see also
[46, 47] for a similar approach). This is precisely the parame-
ter that is kept invariant in perturbative analyses, defining the
reference background against which deformations in the spa-
tial sector of the metric are compared.
arXiv:2210.11333v3 [astro-ph.CO] 4 Jan 2023
2
In this spirit, we design an observable, the expansion rate
fluctuation η, that provides information about fluctuations in
the local expansion rate and is, at the same time, easily com-
parable with theoretical predictions. Indeed we will show that
it provides a model-independent means of analysing inhomo-
geneities, not even requiring the CP assumption as a prerequi-
site. This cosmographic approach (e.g. [48, 49]) allows the
results to be directly interpretable in alternative spacetimes
and can ideally guide the search for unconventional line el-
ements that capture the essential features of the local inhomo-
geneities.
From an observational point of view, the goal is to inves-
tigate the existence and significance of anisotropies in the lo-
cal Universe through new methods of investigation. In this
specific case, by decomposing the angular fluctuations of the
expansion rate into spherical harmonics and compressing in-
formation about anisotropies into a set of independent Fourier
coecients.
Multipolar expansion in spherical harmonics provides an
orthogonal insight into the nature of the local redshift-distance
relation and allows to go beyond the simple dipole model with
which anisotropies are traditionally described in the nearby
Universe. At the same time, it allows to deepen and extend
studies, such as those of [38, 47, 50–52] which attempt to
constrain the tidal field component by analysing the shear
of the velocity field generated by local gravitational fluctua-
tions. In this respect, we focus on the study of the symmetries
and geometric structure of the harmonic multipoles, showing
how their analysis gives a simple and inexpensive description
of the structure of the anisotropies in the Hubble flow. We
demonstrate that the three-parameter formula encoding such
information has predictive power comparable to that of much
more complex numerical studies of peculiar motions.
The paper is organized as follows: in Sec. II we intro-
duce the observable that optimally extract information about
the fluctuation in the angular expansion rate, while in III we
present the method implemented to estimate the signal from
discrete datasets and to compress it into spherical harmonic
coecients. We also discuss how we estimate reconstruction
errors, both statistical and systematic. In Sec. IV, we describe
the data analyzed. Results are presented and interpreted in V.
Sec. VI provides summary and conclusion.
In the following, we present results in natural units (c=
1) and we refer to the standard ΛCDM model, as the flat
Friedmann-Robertson-Walker (FRW) spacetime which best
fits the Planck18 data [53]. Redshift is expressed with respect
to the CMB rest frame.
II. THE EXPANSION RATE FLUCTUATIONS η
We model the angular anisotropies in the redshift-distance
relation by directly exploiting the local expansion rate as a
target observable. In a perfectly uniform FRW universe, the
ratio z/dbetween the redshift and the proper distance of co-
moving particles is predicted to be constant, independent from
the particular line-of-sight along which it is estimated.
In any generic metric model describing the structure of lo-
cal space-time, i.e. the inhomogeneous distribution of mass at
the periphery of the Local Group of galaxies, it is possible, at
least in the limit of small separations, to relate the redshift z
and the proper distance as follows
z=˜
H0(l,b)d.(1)
In this expression, ˜
H0is a continuous function that depends
only on the angular coordinates (l,b) and can be constrained
experimentally. It is clear that the angular dependence is in
principle theoretically determinable as soon as a line element
is provided. Note that if the observer is only at rest relative
to the CMB, but not comoving with respect to the surround-
ing matter, then we expect a dependence of ˜
H0on the radial
distance even in very local regions of the Universe. As a mat-
ter of fact, in a generic spacetime, the characteristic distance
scale at which the linear limit of the equation (1) is reached is
not known apriori.
We actually characterize deviations from isotropy in the lo-
cal expansion rate via the (decimal) logarithmic relation
ηlog "˜
H0
H0#.(2)
Here H0is a normalizing factor that, in the standard model of
cosmology, coincides with the value of the Hubble constant.
We fix its amplitude by requiring that the average value of η
over the volume covered by data vanishes.
The justification for the choice of this observable is statisti-
cal in nature. Errors are Gaussian only in the distance modulus
µand not in the redshift-independent distance dif these latter
are estimated as
ˆ
d=10 µ25
5.(3)
Therefore, given a sample of objects at spatial position r, the
discrete estimator of the continuous field (2)
ˆη(r)=log "z
H0#+5µ
5,(4)
is a random variable that follows a Gaussian distribution. In-
deed, we assume that the uncertainty δon ˆηis induced only
by the imprecision with which the redshift-independent dis-
tances are estimated (δ=σµ/5), i.e. we consider that any
error in the redshift estimate is negligible. As a consequence,
ˆηprovides an unbiased estimate of η, as can be easily veri-
fied. As an added bonus, Eq. (2) also makes it possible to
quantify anisotropies in the expansion rate, regardless of the
value of the Hubble constant parameter used to normalize the
distance modules µ. A subtlety must be pointed out. It is
implicitly assumed, in the above argument, that in the limit
z<< 1, the range we are concerned in this paper, dis a fair
proxy for both the luminosity and angular diameter distance,
i.e. d dLdA.
The expansion rate fluctuations ηis not specifically tailored
to have only nice statistical properties. It also has a physical
content. Linear perturbation theory of the standard cosmolog-
ical model provides a framework for interpreting this observ-
able. According to it, the redshift observed in the CMB rest
3
frame is given by
z=zc+v(1 +zc),(5)
where zcis the cosmological redshift and vis the line of sight
component of the peculiar velocity of the source (assumed to
be non-relativistic) with respect to the CMB rest frame. By
inserting this last relation into 2 we get
η=log 1+v(1 +zc)
zc!v(1 +z)
zln 10 ,(6)
where we have assumed v << zcz. The fluctuations in
the expansion rate are excited by radial peculiar velocity and
suppressed in inverse proportion to the object’s distance.
III. EXPANSION RATE FLUCTUATIONS: THE
SPHERICAL HARMONIC DECOMPOSITION
We can compress the information contained in the ηobserv-
able into a few coecients. To this end, we expand the expan-
sion rate field ηin spherical harmonic (SH) components. We
orthogonally decompose ηon a sphere as follows
η=
X
`=0
`
X
m=`
a`mY`m(θ, φ)=
X
`=0
η`,(7)
where
Y`m(θ, φ)=s(2`+1)(`m)!
4π(`+m)! Pm
`(cos θ)eimφ,(8)
and Pm
`are associated Legendre polynomials. Thus, the
Fourier coecients a`mcan be expressed as
a`mZ2π
0Zπ
0
η(θ, φ)Y
`m(θ, φ) sin θdθdφ. (9)
Note that, due to the definition, the monopole (`=0) of η
vanishes.
In addition, one can define the angular power spectrum of
the ηanisotropy as
C`=h|a`m|2ie,(10)
where the expectation is intended to be over a statistical en-
semble of universes.
ˆ
C`=1
2`+1
`
X
m=`
|a`m|2,(11)
is an unbiased estimator for C`
The following section (§III A) describes in detail the pro-
cedure adopted to reconstruct the field η() from discrete 3D
data with non-uniform sampling rates on the sky. In section
(III B) we describe how the SH coecients a`mare estimated.
We present the analytical formulas and numerical recipes for
evaluating measurement errors, both statistical and system-
atic, in the sections III C and III D, respectively.
A. Estimation of the angular ηfield
The expansion rate fluctuation estimator ˆη(r) is a discrete
random variable. The analysis of this observable can be sim-
plified, and the underlying theoretical model (2) can be better
traced if we convert it into a stochastic field. We thus average
ˆη(r) over all the objects at position rwithin a given volume
V(,R), where is a solid angle centered on the observer and
Rthe depth of the catalog (i.e. its upper edge). The angular
anisotropies seen by the observer are thus piece-wise defined
as
η()=PN
iˆη(ri)w(ri)W(ri|V(,R))
PN
iw(ri)W(ri|V(,R)) (12)
where Nis the number of objects in the catalog, w(ri)=12
i
is a weight that takes into account the precision in the mea-
surement of the distance of the i-th object in the catalog.
W(r|V(,R)) is a window function which evaluates to unity
if riVand is null otherwise.
It is clear that averaging has the advantage of reducing noise
at the cost of a lower angular resolution. The latter is essen-
tially controlled by the aperture of the solid angle , although
it also depends, in principle, on the depth Rof the sample on
which the spatial averaging is performed.
In practice, we construct the η2D field out of a discrete
point process ˆη(r), by first partitioning the sky in Npix identi-
cal pixels (each subtending a solid angle i) using HEALPix
[54] and then by applying eq. (12) to objects within the vol-
ume Vsubtended by each pixel i. HEALPix is an algorithm
which tessellates a spherical surface into curvilinear quadri-
laterals, each covering the same area as every other. Although
characterized by a dierent shape, the resulting pixels are lo-
cated on lines of constant latitude. This property is essential
for speeding up computation but is less than optimal for pix-
elating the discrete ηfield. In fact, the counts can show large
variations from pixel to pixel. In addition, some of the pix-
els may end up containing no data at all. To tackle this issue,
we first rigidly rotate the galaxy field randomly, by looking
for configurations in which all the HEALPix pixels are filled
with objects and the least populated cell contains a maximum
number of objects. If as a result of dierent rotations, the max-
imum number of galaxies in the least populated cells stays the
same, we pick up the configuration for which the distribution
of the number of the galaxies in the pixels has the minimum
variance. This allows to minimize pixel-to-pixel fluctuations
in the reconstructed value of ηand increase the signal-to-noise
ratio in the determination of the Fourier coecients. Note that
the rotation trick does not aect the estimation of the angular
power spectrum ˆ
C`, which is, by definition, invariant under
rotation. However, once the Fourier coecients have been
estimated, we apply an inverse rotation to the pixels and η
maps so that, for the sake of clarity, the results are presented
in standard galactic (l,b) coordinates. The whole strategy is
graphically illustrated in Fig. 1.
The resolution of the HEALPix grid is calculated as Npix =
12N2
side where Nside =2t, and tN. The baseline grid, corre-
sponding to t=0, has 12 pixels. Our choice of the resolution
4
FIG. 1: Illustration of the rotation strategy to improve the estimation
of SH coecients. Upper: the standard HEALPix pixels (Nside =2
and Npix =48) tessellating the distribution of galaxies in the galactic
coordinates. Note the presence of an empty pixel. Center : rigid
rotation applied to the sample so that in each pixel falls at least one
galaxy (the minimum number is 5 in this example). Lower : the
inverse rotation is applied to both galaxies and pixels.
in the reconstruction of the angular ηmap, as explained in V,
is dictated by two criteria: the SH decomposition must result
in multipoles that have a suciently high signal-to-noise ratio
and a suciently low probability pto occur by chance in a
randomly fluctuating ηfield.
B. Estimation of the SH coecients
We estimate the Fourier coecients of the spherical har-
monic decomposition by slightly modifying the reconstruc-
tion scheme provided by the HEALPix algorithm. HEALPix
accomplishes that by means of an iteration scheme, the so-
called Jacobi iteration. The zeroth order estimator of the co-
ecients of the expansion field is
ˆa(0)
`m=4π
Npix
Npix
X
p=1
η(p)Y
`m(θp, φp),(13)
where (θp,φp) are the angular coordinates of the center of each
pixel pand η(p) is calculated by eq. (12). The Fourier coe-
cients a`mare then calculated up to the order `max =3Nside 1,
and the higher orders are
ˆa(k+1)
`m=ˆa(k)
`m+4π
Npix
Npix
X
p=1η(p)η(k)(θp, φp)Y
`m(θp, φp),(14)
where
η(k)(θp, φp)=
`max
X
`=0
`
X
m=`
ˆa(k)
`mY`m(θp, φp).(15)
In matrix notation,
a(0) =(16)
a(k+1) =a(k)+A(ηη(k)) (17)
η(k)=Sa(k),(18)
where ais the vector of the spherical harmonic coecients
(containing (`max +1)2elements), while ηand η(k)are vec-
tors representing the measured and estimated values of η
in each pixel (and thus contain Npix elements). Moreover,
A=4π
Npix Y
`m(θp, φp) and S=Npix
4πAT. The calculation of
a(k)is repeated until convergence i.e. until the residual has
zero Fourier coecients up to `max.
Instead of going through the iteration scheme, we proceed
in a dierent way. We estimate analytically the asymptotic
limit a()that should be ideally obtained in the limit of an
infinite number of iterations. We first write equation (17) as
a(k+1) =a(k)+ASa(k),(19)
so
a(k+1) =+(IAS)a(k),(20)
where Iis the identity matrix with size (`max +1)2×(`max +1)2.
By using a(0) =we obtain
a(k+1) =a(0) +(IAS)a(k).(21)
Under the assumption that this is convergent, for k→ ∞,
a(k+1) a(k)we get
a()=a(0) +(IAS)a(),(22)
5
which results in
a()=Ma(0),(23)
where M=(AS)1. Note that we cannot take the inverse
of Aor Sindividually because they are not square matrices.
By this trick, we achieve two goals. First, we minimize the
computing time, moreover, and more importantly, we obtain a
closed form expression which simplifies the estimation of the
error on the SH coecients, as we detail in the next section
and in Appendix B. The elements of the vector a()represents
our best estimate (ˆa`m) of the coecients of the spherical har-
monic decomposition a`m.
C. Statistical measurement errors
In the following, we consider the SH coecients a`mas a
deterministic variable whose estimate
ˆa`m=a`m+`m,(24)
fluctuates due to measurement errors `minduced by uncer-
tainties in the reconstruction of η. The expectation over dif-
ferent observational measurements made on the same sample
is thus E[ˆa`m]≡ hˆa`mi=a`m.i.e. we assume that the esti-
mator provides an unbiased estimate of the coecients of the
spherical harmonic expansion.
The variance of the estimator is defined as
V[ˆa`m]=V[`m]σ2
`m,(25)
and, in general, depends on both modes `and m. An exact
analytical expression for σ`mis far from trivial and unenlight-
ening. It can be evaluated from the knowledge of the uncer-
tainties in the distance modulus measurements (see Appendix
B and cf. eq. B1 and 23).
An estimator of the power locked in each harmonic moment
`is the angular power spectrum (cf. eq. 11) estimator
ˆ
ˆ
C`=1
2`+1
`
X
m=`
|a`m+`m|2.(26)
which can be expressed as
ˆ
ˆ
C`=1
2`+1
2l
X
n=0
w(`)
n,(27)
where
w(`)
n=
ˆa2
`0n=0
2<[ˆa`n]2`n>0
2=[ˆa`(n`)]22`n> `
(28)
This decomposition is conveniently chosen so to take into
account that almand a`mare conjugate variables (a`m=
(1)ma
`m). Thus, the variance of ˆ
ˆ
C`reads
Vˆ
ˆ
C`= 1
2`+1!22`
X
n=0
V[w(`)
n],(29)
where
V[w(`)
n]=
2σ4
`0+4σ2
`0a2
`0n=0
8σ(R)4
`n+16σ(R)2
`n<[a`n]2`n>0
8σ(I)4
`(n`)+16σ(I)2
`(n`)=[a`(n`)]22ln> `
,
(30)
and where we have defined σ(R)2
`m=V[<[ˆa`m]] and σ(I)2
`m=
V[=[ˆa`m]].
In appendix C we show that the analytical estimates ob-
tained using eq. (29) provides a fairly good approximation
to those obtained via a numerical Monte Carlo analysis (see
the comparison in TABLE III). Expression (29) can be further
simplified by making assumptions about the nature of the er-
rors. If the distribution of the galaxies is isotropic and all of
them have the same error in η(δi=δ), then, the real and
imaginary parts of ˆa`mare characterised by the same vari-
ance, and it will not depend on the considered harmonics (
σ2
`m=σ24π
Nδ2), so,
V[ˆ
ˆ
Cl]=2
2`+1h(σ2+ˆ
C`)2ˆ
C2
li.(31)
The above formula neatly isolates the two quantities contribut-
ing to the observed variance: the error in the estimation of the
distance modulus and the measured amplitude of the angular
power spectrum ˆ
C`.
Note, incidentally, that eq. (31) diers from the expression
that would be obtained by averaging over a statistical ensem-
ble. Indeed, in this latter case Ee[ˆa`m]=0 (so ˆ
C`will be
replaced by zero) and also Ve[ˆa`m]=C`+σ2. It thus follows
that the theoretical expression factoring in the contributions of
cosmic variance is Ve[ˆ
ˆ
C`]=2/(2`+1)(σ2+C`)2, if, again, it
is assumed that σ`mis isotropically distributed.
D. Systematic measurement errors
Eq. (26) provides a biased estimate of the local value of the
angular power spectrum ˆ
C`since its expectation over mea-
surements is
Eˆ
ˆ
C`=ˆ
C`+1
2`+1
`
X
m=`
σ2
`m.(32)
Measurements errors on the distance modulus lead to a sys-
tematic overestimation of the angular power spectrum ˆ
C`, and
the statistical bias term calculated in eq. (32) might not fully
remove the systematic shift. Indeed, expression (32) is strictly
valid if the estimator ˆa`m(cf. eq. (24)) is, as we assumed,
aected only by statistical errors. It is true, however, that in-
completeness and anisotropies in the sky distribution, as well
as the pixelization and resolution strategy adopted to trans-
form the discrete ηobservable into a field, could bias the ˆa`m
estimator. Although any constant systematic term added in 24
does not aect the variance of the coecients of ˆa`m, it will
result in an additional (and analytically nontrivial) term in eq.
(32).
摘要:

ThemultipoleexpansionofthelocalexpansionrateBasheerKalbouneh,ChristianMarinoni,andJulienBelAixMarseilleUniv,Universit´edeToulon,CNRS,CPT,Marseille,France(Dated:January5,2023)Wedesignanewobservable,theexpansionrateuctuation,tocharacterizedeviationsfromthelinearrelationbetweenredshiftanddUniverseis...

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