SlideShare a Scribd company logo
1 of 30
Download to read offline
Orchidea Maria Lecian
Sapienza University of Rome
ICRA- International Center for Relativistic Astrophysics
Specific aspects of the evolution of antimatter globular clusters
domains
Authors: M.Yu.Khlopov, O.M. Lecian
11th September 2020, Pescara, Italy.
THE FOURTH ZELDOVICH VIRTUAL MEETING
September 7-11, 2020
orchideamaria.lecian@uniroma1.it
lecian@icra.it
Abstract
In the Affleck-Dine-Linde scenario of baryosynthesis, there exists a
possibility of creation of sufficiently large regions with antibaryon
excess . Such regions can evolve in antimatter globular clusters.
They appear only in the result of domain evolution and only at the
stage of galaxy formation. Their number is demonstrated to
increase as a function of time, being determined by the mechanism
of antibaryon excess generation and on the properties of the
inflaton filed and related ones; the number of clusters depends also
on the Hubble parameter at the inflationary stage, as well as on
the field initial conditions in the Einstein field Equations. Possible
evolution of the domains of the antimatter globular clusters
provides observational constraints on the mechanisms of inflation,
baryosynthesis and evolution of antibaryon domains in
baryon-asymmetrical Universe.
Introduction
In particular inflationary scenarios with nonhomogeneous baryosynthesis, the creation
of antimatter can be obtained from the solution of the matter content of the
Einstein-Field-Equation.
Antimatter is allowed to form antimatter domains, containing a certain number of
antibaryons, whose number, volume and correlation functions can be evaluated.
Theses features are calculated according the statistical distributions which account for
the possibility that
1) a sufficient amount of antimatter (under suitable conditions) can form compact
domains;
2) the time evolution of such domains is allowed by the statistical probabilities that
the antimatter is not annihilated by ordinary matter domains, and/or by the
interaction with external matter (vacuum hypothesis and plasma hypothesis), and/or
by competition interaction among the latter matter presence and vacuum content.
The different statistical distributions are mathematically demonstrated to be
compatible.
The correlation function for the antimatter domains can be evaluated at different ages
of the Universe (under the suitable hypotheses), and can be refined by the use of
statistical estimators, also based on the Bernoulli-distribution comparison, after
considering the Standard Cosmological Principle.
Summary
- Symmetry-breaking scenarios:
- ADL scenario.
- Antimatter domains
- Evaluation of the number of antimatter domains:
- Statistical distributions:
- Gaussian distribution;
- Gauss-minus distribution.
- Discrete statistical distributions: Poisson Distribution, Binomial distribution
- Non-central continuous distributions:
- Fisher’s non-central Hypergeometric Distribution;
- Modified Wallenius’ Hypergeometric Distribution;
- Generalized non-central Hypergeometric Distribution;
- Comparison: a theorem
- Correlation function(s) for antimatter domains:
- (Bernoulli distribution-based possibilities)
- Outlook
Symmetry-breaking scenario
V (φ1, φ2, χ) = −µ2
1(φ+
1 φ1 + φ+
2 φ2) + λ1[(φ+
1 φ1)2
+ (φ+
2 φ2)2
] + 2λ3(φ+
1
φ1)(φ+
2 φ2)(φ+
1 φ2) + 2λ4(φ+
1 φ2)(φ+
2 φ1) + λ5[(φ+
1 φ2)2
+ h.c.]+
λ6(φ+
1 φ1 + φ+
2 φ2)(φ+
1 φ2 + φ+
2 φ1) − µ2
2χ+
χ + δ(χ+
χ)2
+ 2α(χ+
χ)(φ+
1 φ1 + φ+
2 φ2) + 2β[(φ+
1 χ)(χ+
φ1) + (φ+
2 χ)(χ+
φ2)]
for effective low-energy electroweak SU(2) ⊗ U(1) theory.
A GUT spontaneous CP violation would imply the formation of vacuum structures
separated from the rest of the matter universe by domain walls, whose size is
calculated to grow with the evolution of the Universe. This behavior is calculated not
not affect the evolution of the Universe if the volume energy ˜ρ(V ) density of the walls
for
˜ρ(V ) ∼ σ2
φT4/˜h,
with ˜h the value of the scalar coupling constant.
A CP-invariant Lagrangean was chosen of form
L = (∂φ)2
− λ2
(φ2
− χ2
)2
+ ¯ψ(i∂ − m − igγ5φ)ψ
where the vacuum is characterized by < φ >= ση, with σ = ±1.
L = (∂χ)2
−
1
2
m2
χχ2
−4σλ2χη3
−λ2
χ4
+ ¯ψ(iˆ∂−M−i
gm
M
γ5χ−
g2ση
M
χ)ψ.
A CP violation can be achieved after the substitution φ = χ + ση.
Characteristical features of antimatter domains
- minimal mass for an antimatter domain to evolve in time without being annihilated
estimated as ≃ 103M⊙
for a temperature below 4000K, with the initial condition of the time t0
corresponding to 9000K;
- antimatter density in the antimatter domains 3 orders of magnitude less than the
baryon density;
- correlation functions can be written after solving the fluid equation for the diffusion
coefficient D(t) via the baryon-to-photon ratio r ≡ nb/n˜γ
∂t
∂t
= D(t) ∂2
t
∂x2 , r(R, t0) = r0, x < 0, r(R, t0) = 0, x > 0,
to evaluate the physical distance covered by atoms after the recombination age until
the present time.
Calculation of number of domains
The number of domains ¯N as a function of the number of e-folds ˜N at the time ta
corresponding to ˜Nc reads
¯N( ˜Nc, ˜N0) − ¯N0 ≃ ln
¯N( ˜Nc, ˜N0; ta)
¯N0
≤ ln
(eθ)feff ( ˜Nc)
√
2
1 −
feff ( ˜Nc − ˜N0)
(σ(ta − t0))2
.
In the case the variance should be dependent on the number of e-folds ˜Nι and on the
size of the Universe at the time of Galaxy formation, different estimations can be
conducted, according to the variables which need be outlined.
After considering the definition ˜N ≡ H∆t for the standard deviation,
the following estimation of number of antimatter domain is found
¯N( ˜Nc, ˜N0)− ¯N0 ln
(eθ)feff ( ˜Nc)
√
2


1 − 4π2
f 1 +
gφχ
12πλ
(Hcta − Hιtι)
ln LueHcta −eHιtι
l
2
(ta − tι)2



which depends on the time tι at which the number estimation is formulated, between
the time interval ∆t ≡ (ta − t0), with t0 ≤ tι ≤ ta.
Gaussian distribution
The choice for a Gaussian distribution of the number of antibaryons in each domain
leads to the evaluation of the number of antimatter domains as
˜N − ˜N0 ≃ ln
θι
θc
+ ln(1 + θc + θ2
c /2) − ln(1 + θι − θ2
ι /2) ·
· ln
LueHc(tc−t0) − eH0t0
l
(eθ60 − eθι )
θ60 − θ0
χ60 − χ0
[f(ta) − f(t0)] + feff
1
H
3/2
c − H
(3/2)
ι
(tc − tι)
Gauss-minus distribution
N(t) − N0 ≡ 4π2
e2θ0
2feff
ln 1
N0l
2
1 − 2 LueNc
ln 1N0l
1 + 1
ln feff
ρc∆tc
ρ0∆t0
(1 − 1
2
( ρc∆tc
ρ0∆t0
)−1) ρ(t) t4 with ρ(t))t4
to be evaluated at the necessary time ι after the time t0.
with a two-parameter Gaussian-modified distribution
P− ∝ 1
2π(σ2− 1
λ2 )
e
−
ak
ς2
e
−
bk
ς2
,
i.e. with a Gaussian-modified dispersion relation
ς2 ≡ (σ2 − 1
λ2 )ς ≡ ln N0
l
+ π − Luec−N0
l
− 1
2
Luec−N0
l
2
Poisson distribution
k antibaryon excess regions of some minimal size (containing antibaryons, able to
interact, according to a chosen, modellizable kind of interaction), such that an
antimatter domain can be started to be formed;
˜N(k) − ˜N0(k) ≃ n k
kn
ek
n!
χta
χt0
2
∆feff (t;ta,ti,t0)·
(−2)
4π2 ln LueHc(tc−t0)
−eH0t0
l
k
(t)k−3
the numerical evaluation can be performed by knowing the numerical values of k;
for a particular kj = 0, kj ∈ n, indeed, for the Poisson distribution, as well as for
other probability distributions, an antibaryon not neighbouring with another
antibaryon should be neighbouring with ordinary matter, vacuum or plasma, and the
event does not contribute to the domain formation (within the sum) which defines the
boundary condition for the domain.
More specifically, for ˜F( ˜N(kj) − ˜N0(kj)) = 0, and
k
... + ˜F( ˜N(kj−1) − ˜N0(kj−1)) + ˜F( ˜N(kj) − ˜N0(kj)) + ˜F( ˜N(kj+1) − ˜N0(kj+1)) + ... =
=
k
... + ˜F( ˜N(kj−1) − ˜N0(kj−1)) + ˜F( ˜N(kj+1) − ˜N0(kj+1)) + ...
Binomial distribution
˜N(k) − ˜N0(k) ≃
k
1
(k!)(1 − k)!
χta
χt0
2
∆feff (t; ta, ti, t0)
(−2)
4π2
·
· ln
LueHc(tc−t0) − eH0t0
l
k
(t)k−3
k probability of finding an antibaryon-excess region of some minimal size;
pk the probability of finding k − 1 neighbouring antibaryons within an
antibaryon-excess region of some minimal size;
2˜n antibaryon density (at least considered for the neighbouring antibaryon-antibaryon
interaction), expressed by the efficace expression of H for ˜n antibaryons;
n the number of antibaryons surrounding the domain,
i.e. n − k relates the number of antibaryons neighbouring with a baryon; (1 − p)n−k
the probability that an antibaryon (in an antibaryon-excess region of some minimal
size) is neighbouring with an baryon, i.e. at the domain boundary
Non-central Fisher’s Hypergeometric Distribution
na = number of antibaryon(s) within one antibaryon cluster;
nb = number of baryon(s) within one cluster;
xmin ≡ max(0, n − na);
xmax ≡ min(n, nb);
N = na + nb;
n ≡ number of considered (neigbouring) antibaryons;
ω ≡ ωa/ωb weight;
example: probability of existence of one antibaryon
P ≡ ωama
ωana+ωbnb
;
variance σ2 = N
N−1/ 1
µ + 1
na−µ + 1
n−µ + 1
µ+mb−n
µ ≡ − 2nanω
(na+n)(1−ω)−N−
√
((na+n)(1−ω)−N)2−4(ω−1)(nanω)
number of domains as a function of the volume V evolving in time
time-dependent volume of the number of domains
N(tι) − N(t0) =
1
√
2 t0
tι
x=n
x=n−nb
ma!
x!(ma−x)!
mb!
x!(mb−x)!
ω(ρ)x
x=n
y=n−nb
ma!
y!(ma−y)!
mb!
y!(mb−y)!
ω(ρ)y
·
· ln (ln
ln(˜a)
t
)
(3m2
P l)2
mfeff (8π)2
1 +
gφP l
12πλ
H∆(t) ·
· [
1
˜a
d˜a
dt
1
t
(3Mm2
P l)2
mfeff
1 + gχ
12πλ
Hι∆t
(8π)2
+
− ln ˜a
1
t2
(3Mm2
P l)2
mfeff
1 + gχ
12πλ
Hι∆t
(8π)2
+
−
1
2
ln ˜a
t
(3Mm2
P l)2
mfeff
( gφχMmP l
12πλ
)Hι
1 + gχ
12πλ
Hι∆t(8π)2
]dt ≡
≡
1
√
2 t0
tι
x=n
x=n−nb
ma!
x!(ma−x)!
mb!
x!(mb−x)!
ω(ρ)x
x=n
y=n−nb
ma!
y!(ma−y)!
mb!
y!(mb−y)!
ω(ρ)y
·
· ln
n
mf


−
1
mfeff
( gφχMmP l
12πλ
)Hι
1 + gχ
12πλ
Hι∆t(8π)2
dn
dt
−
n
mfeff
1 + gχ
12πλ
Hι∆t
V 2(t(n))(8π)2
dV
dt


 dt
≡ t0
tι
P(χ) ln χdχ(t)
The Hubble parameter H(tι) can be considered also as HI, as the
FRW scale factor ˜aHI t; in the case of barionic matter with density
ρb, ωρb ≡ 0 for ρb ∼ ˜a−4
(modified) Non-central Wallenius’ Hypergeometric
Distribution
N = na + nb;
n ∈ [0, N) ≡ number of considered (neighbouring) antibaryons;
ω ∈ R+;
x ∈ [xmin, xmax];
xmin = max(0, n − mb);
xmax = min(n, ma);
1 − P ≡ ma!
x!(x−ma)!
mb!
(n−x)!(mb−n+x)! 0
1
(1 − qω/D)x(1 − q1/D)n−xdq;
D ≡ ω(ma − x) + mb − n + x;
variance N
N−1
µ(m1−µ)(n−µ)(µ+mb−n)
ma(n−µ)(µ+mb−n)+mbµ(ma−µ);
time-dependent volume of the number of domains:
na = number of antibaryon(s) within one antibaryon cluster
nb = number of baryon(s) within one cluster
xmin ≡ max(0, n − na)
xmax ≡ min(n, nb)
N = na + nb
N(tι) − N(t0) =
1
√
2 t0
tι ma!
x!(x − ma)!
mb!
(n − x)!(mb − n + x)!
·
·
0
1
(1 − qω/D
)x
(1 − q1/D
)n−x
dq ·
· ln (ln
ln(˜a)
t
)
(3m2
P l)2
mfeff (8π)2
1 +
gφP l
12πλ
H∆(t) ·
· [
1
˜a
d˜a
dt
1
t
(3Mm2
P l)2
mfeff
1 + gχ
12πλ
Hι∆t
(8π)2
+
− ln ˜a
1
t2
(3Mm2
P l)2
mfeff
1 + gχ
12πλ
Hι∆t
(8π)2
+
−
1
2
ln ˜a
t
(3Mm2
P l)2
mfeff
( gφχMmP l
12πλ
)Hι
1 + gχ
12πλ
Hι∆t(8π)2
]dt ≡
N(tι) − N(t0) =
1
√
2 t0
tι ma!
x!(x − ma)!
mb!
(n − x)!(mb − n + x)!
·
·
0
1
(1 − qω/D
)x
(1 − q1/D
)n−x
dq ·
· ln
n
mf


−
1
mfeff
( gφχMmP l
12πλ
)Hι
1 + gχ
12πλ
Hι∆t(8π)2
dn
dt
+
−
n
mfeff
1 + gχ
12πλ
Hι∆t
V 2(t(n))(8π)2
dV
dt
dt
Generalized non-central hypergeometric distribution
N = na + nb
n ∈ [0, N)
ω ∈ R+
x ∈ [xmin, xmax]
xmin = max(0, n − mb)
xmax = min(n, ma)
1 − P ≡ ma!
x!(x−ma)!
mb!
(n−x)!(mb−n+x)! 0
1
(1 − qω/D)x(1 − q1/D)n−xdq
D ≡ ω(ma − x) + mb − n + x
- weight parameter ̟ can be interpreted as accounting for the phenomena concerning
the domains and the interaction of the antibaryons within the domains. The
corresponding expression of the probabilities as a function of z ≡ x/ma is obtained as
P(z) = C1I1 + C2I2,
with
C1 =
(N − mbma)! mb
ma
!
k
ma
! n−k
ma
!
N − mb − k − 1
ma
!
mb − n − k
ma
!,
C2 = C
mb − n + k
N − mb − k
,
I1 =
0
1
qk/ma (1 − q)(N−mb−k)/ma ln(n−k)/ma (1 − q)−ma/̟
·
· [1 − ln(1 − q)−ma/̟
mb−n+k
ma dq,
I2 =
0
1
1 − q−̟q/ma e−̟q(N−mb−k)/ma q
n−k
ma (1 − q)
mb−n+k−1
ma dq.
The number of such domains, according to their number and the number of
antibaryons contained is therefore calculated as
N(tι) − N(t0) =
1
√
2
(C1I1 + C2I2) ·
· ln (ln
ln(˜a)
t
)
(3m2
P l)2
mfeff (8π)2
1 +
gφmP l
12πλ
H∆(t) [
1
˜a
d˜a
dt
1
t
(3Mm2
P l)2
mfeff
1 + gχ
12πλ
Hι∆t
(8π)2
+
− ln ˜a
1
t2
(3Mm2
P l)2
mfeff
1 + gχ
12πλ
Hι∆t
(8π)2
−
1
2
ln ˜a
t
(3Mm2
P l)2
mfeff
( gφχMmP l
12πλ
)Hι
1 + gχ
12πλ
Hι∆t(8π)2
]dt ≡
≡
1
√
2
(C1I1 + C2I2) ·
· ln
n
mf


−
1
mfeff
( gφχMmP l
12πλ
)Hι
1 + gχ
12πλ
Hι∆t(8π)2
dn
dt
−
n
mfeff
1 + gχ
12πλ
Hι∆t
V 2(t(n))(8π)2
dV
dt


 dt.
Matter/antimatter symmetric Universe
NB( ¯B) ≃ −
g2f2mθ
8π2
Wi2
θi ±θi/2
∞
dω
sin2 ω
ω
≃
1
2
This way, also the probability should be modified by assuming ρ = const = 1/2, by
substituting the pertinent expression
Pχ ≡ 1 − f21/4
1√
2
+ gφχ
2πλ
√
∆tι −
√
∆t0
σ2
˜N(tta ) − ˜N(tι) =
=
ta
tι
ln
1
2feff
1 +
1
2
gφχ
2πλ
√
t
4π2f2
eff
t2
1
2feff
1
4
t−1/2
dt ≃
1
4
1
2
gφχ
2πλ
1
ta
−
1
tι
Comparison
- it is possible to compare the error on the variance of a generaical statistical
distribution with that of a Gaussian statistical distribution, without loss of
information, for the different dependence on time of the GR solutions obtained:
majorize the error by a linear operator S by a linear mapping ¯N weighted by a
parameter φ, which can be also time dependent
|| Sx − φ ¯N ||
in a spherical neighborhood of each antibaryon, placed in ¯x as
X
| Sx − φ ¯N || d¯µ(X)
such that there exists ǫ > 0 such that
inf{ ǫ > 0 : ¯µ{ ¯x ∈ X :| Sx − φ ¯N ||> ǫ} ≤ δ}
where δ of (also time-dependent) Planckian order .
- choice of linearity for the operator S compatible with the first-order approximation i
time for each calculation accomplished;
- competition at the boundary surfaces of the domains with void, plasma,
intergalactical medium, and the production of hypernuclei also possible.
Correlation distribution of antimatter domains
N(r) ∝ rD2
1 + ξ(r) ∝ rD2−2
N(tι) − N(t0) =
1
√
2 t0
tι 1
√
2
(C1I1 + C2I2) ·
· ln (ln
ln(˜a)
t
)
(3m2
P l)2
mfeff (8π)2
1 +
gφχMmP l
12πλ
H∆(t) ·
· [
1
˜a
d˜a
dt
1
t
(3Mm2
P l)2
mfeff
1 + gφχ
12πλ
Hι∆t
(8π)2
+
− ln ˜a
1
t2
(3Mm2
P l)2
mfeff
1 + gφχ
12πλ
Hι∆t
(8π)2
+
−
1
2
ln ˜a
t
(3Mm2
P l)2
mfeff
( gφχMmP l
12πλ
)Hι
1 + gφχ
12πλ
Hι∆t(8π)2
]dt ≡
≡
1
√
2 t0
tι 1
√
2
(C1I1 + C2I2) ·
· ln
n
mf


−
1
mfeff
( gφχMmP l
12πλ
)Hι
1 + gφχ
12πλ
Hι∆t(8π)2
dn
dt
−
n
mfeff
1 + gφχ
12πλ
Hι∆t
V 2(t(n))(8π)2
dV
dt


 dt
≡
˜Nι − ˜N0
V 0
r
4πs2
sD2−2
ds
D2 correlation dimension
Two-point correlation function:
use of estimators (Hamilton estimator, Davis-and-Peebles estimator, Landy-Szalay
estimator, ...
for generating binomial distributions of pairs of correlated objects.
The distances between pairs of antimatter can be estimated;
- evaluation of the distances for pairs of antimatter domain and matter domain) for
the initial conditions.
A a point of the Poisson simulation can be chosen as
1) an arbitrary point; or
2) the presence of a single antibaryon, according to the presence of antimatter
(antinuclei) in the intergalactic medium, as in [?] for obtaining a correlation within the
corresponding times.
3) pairs of antimatter domains;
4) pairs of antimater domains and antibaryons;
5) pairs characterized by the same interval.
The results of the binomial/Poisson distributions obtained for a simulation of the pairs
of objects defined in the estimators can be compared with the experimental data
referred to, for example,
- primordial non-Gaussianities,
- data available for other times of evolution of the Universe.
Thank You for Your attention!
References
-I. Affleck and M. Dine, A New Mechanism for Baryogenesis,” Nucl. Phys. B 249
(1985) 361;
-A.Vilenkin and L.Ford, Phys.Rev. D26, 1231 (1982); A.D.Linde, Phys.Lett. 116B 335
(1982);
- V. M. Chechetkin, M. y. Khlopov, M. G. Sapozhnikov and Y. B. Zeldovich,
Astrophysical Aspects Of Anti-proton Interaction With He-4 (antimatter In The
Universe), Phys. Lett. 118B (1982) 329;
- V. A. Kuzmin, M. E. Shaposhnikov and I. I. Tkachev, Matter - Antimatter Domains
in the Universe: A Solution of the Vacuum Walls Problem, Phys. Lett. 105B (1981)
167;
- Y. B. Zeldovich, I. Y. Kobzarev and L. B. Okun, Cosmological Consequences of the
Spontaneous Breakdown of Discrete Symmetry, Zh. Eksp. Teor. Fiz. 67 (1974) 3 [Sov.
Phys. JETP 40 (1974) 1];
- M.Yu.Khlopov, S.G.Rubin and A.S.Sakharov Possible origin of antimatter regions in
the baryon dominated Universe. Phys. Rev. (2000) V. D62, P. 083505;
- K.M.Belotsky, Yu.A.Golubkov, M.Yu.Khlopov, R.V.Konoplich and A.S.Sakharov.
Anti-helium flux as a signature for antimatter globular cluster in our Galaxy.
Yadernaya Fizika (2000) V. 63, PP. 290-296. [English translation: Phys.Atom.Nucl.
(2000) V. 63, PP. 233-239]; astro-ph/9807027;
- M.Yu.Khlopov, S.G.Rubin and A.S.Sakharov Macroscopically large antimatter
regions in the baryon asymmetric universe. Invited talk given at the CAPP2000
Conference on Cosmology and Particle Physics 17-28 July 2000, Verbier, Switzerland.
E-print hep-ph/0010185, In: Cosmology and Particle Physics, AIP Conference
Proceedings (2001). V.555, PP. 421;
- Loertscher, Simon, Muir, Ellen V., Taylor, Peter G., A general noncentral
hypergeometric distribution Communication in Statistics- Theory and Methods2016 /
05, 2016;
- Stefan Heinrich, Probabilistic complexity analysis for linear problems in bounded
domains, Journal of Complexity1990 Vol. 6; Iss. 3 1990, Pages 231-255;
- Astroparticle Physics2000 Vol. 12; Iss. 4 Evolution and observational signature of
diffused antiworld Evolution and observational signature of diffused antiworld M.Yu.
Khlopov, R.V. Konoplich, R. Mignani, S.G. Rubin, A.S. Sakharov Volume: 12, 2000;
- M. Y. Khlopov, S. G. Rubin and A. S. Sakharov, XIVth RENCONTRES DE BLOIS,
MATTERANTIMATTER ASYMMETRY [arXiv:hep-ph/0210012 [hep-ph]];
- V. M. Chechetkin, M. Yu. Khlopov and M. G. Sapozhnikov, RIVISTA DEL NUOVO
CIMENTO VOL. 5, N. 10 1982 Antiproton Interactions with Light Elements as a Test
of GUT Cosmology;
Further References
- Astroparticle Physics2000 Vol. 12; Iss. 4 Evolution and
observational signature of diffused antiworld Evolution and obser-
vational signature of diffused antiworld M.Yu. Khlopov, R.V.
Konoplich, R. Mignani, S.G. Rubin, A.S. Sakharov Volume: 12,
2000;
- A.G. Cohen, A. De Rujula, S.L. Glashow, Astrophys. J. 495,
1998. 539;
- Constraints on primordial non-Gaussianity using multitracer
technique for skew spectrum, JP Dai, JQ Xia, arXiv preprint
arXiv:2008.02970.
- A. Monnai, Dissipative hydrodynamic effects on baryon stopping,
Phys. Rev. C 86, 014908 (2012).

More Related Content

What's hot

What's hot (7)

R. Sheth - The Phenomenology of Large Scale Structure
R. Sheth - The Phenomenology of Large Scale StructureR. Sheth - The Phenomenology of Large Scale Structure
R. Sheth - The Phenomenology of Large Scale Structure
 
Uncertainty quantification
Uncertainty quantificationUncertainty quantification
Uncertainty quantification
 
Kernel estimation(ref)
Kernel estimation(ref)Kernel estimation(ref)
Kernel estimation(ref)
 
NITheP WITS node seminar: Prof Jacob Sonnenschein (Tel Aviv University) TITLE...
NITheP WITS node seminar: Prof Jacob Sonnenschein (Tel Aviv University) TITLE...NITheP WITS node seminar: Prof Jacob Sonnenschein (Tel Aviv University) TITLE...
NITheP WITS node seminar: Prof Jacob Sonnenschein (Tel Aviv University) TITLE...
 
"Warm tachyon matter" - N. Bilic
"Warm tachyon matter" - N. Bilic"Warm tachyon matter" - N. Bilic
"Warm tachyon matter" - N. Bilic
 
D. Mladenov - On Integrable Systems in Cosmology
D. Mladenov - On Integrable Systems in CosmologyD. Mladenov - On Integrable Systems in Cosmology
D. Mladenov - On Integrable Systems in Cosmology
 
Zvonimir Vlah "Lagrangian perturbation theory for large scale structure forma...
Zvonimir Vlah "Lagrangian perturbation theory for large scale structure forma...Zvonimir Vlah "Lagrangian perturbation theory for large scale structure forma...
Zvonimir Vlah "Lagrangian perturbation theory for large scale structure forma...
 

Similar to Specific aspects of the evolution of antimatter globular clusters domains

Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...
Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...
Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...
Orchidea Maria Lecian
 
A Pedagogical Discussion on Neutrino Wave Packet Evolution
A Pedagogical Discussion on Neutrino Wave Packet EvolutionA Pedagogical Discussion on Neutrino Wave Packet Evolution
A Pedagogical Discussion on Neutrino Wave Packet Evolution
Cheng-Hsien Li
 
Poster_NuPhys2015_reprint
Poster_NuPhys2015_reprintPoster_NuPhys2015_reprint
Poster_NuPhys2015_reprint
Cheng-Hsien Li
 
Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...
Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...
Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...
Rachel McAdams
 
Mann. .black.holes.of.negative.mass.(1997)
Mann. .black.holes.of.negative.mass.(1997)Mann. .black.holes.of.negative.mass.(1997)
Mann. .black.holes.of.negative.mass.(1997)
Ispas Elena
 
Technicalities about the LHAASO experiment
Technicalities about the LHAASO experimentTechnicalities about the LHAASO experiment
Technicalities about the LHAASO experiment
Orchidea Maria Lecian
 

Similar to Specific aspects of the evolution of antimatter globular clusters domains (20)

Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...
Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...
Studies of baryon-antibaryon annihilation in the evolution of antimatter doma...
 
Wave-packet Treatment of Neutrinos and Its Quantum-mechanical Implications
Wave-packet Treatment of Neutrinos and Its Quantum-mechanical ImplicationsWave-packet Treatment of Neutrinos and Its Quantum-mechanical Implications
Wave-packet Treatment of Neutrinos and Its Quantum-mechanical Implications
 
Q.M.pptx
Q.M.pptxQ.M.pptx
Q.M.pptx
 
A Pedagogical Discussion on Neutrino Wave Packet Evolution
A Pedagogical Discussion on Neutrino Wave Packet EvolutionA Pedagogical Discussion on Neutrino Wave Packet Evolution
A Pedagogical Discussion on Neutrino Wave Packet Evolution
 
Tachyon inflation in DBI and RSII context
Tachyon inflation in DBI and RSII contextTachyon inflation in DBI and RSII context
Tachyon inflation in DBI and RSII context
 
Serie de dyson
Serie de dysonSerie de dyson
Serie de dyson
 
Poster_NuPhys2015_reprint
Poster_NuPhys2015_reprintPoster_NuPhys2015_reprint
Poster_NuPhys2015_reprint
 
Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...
Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...
Resistive wall mode and neoclassical tearing mode coupling in rotating tokama...
 
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
📊 Conquer Your Stats Homework with These Top 10 Tips! 🚀
 
Further discriminatory signature of inflation
Further discriminatory signature of inflationFurther discriminatory signature of inflation
Further discriminatory signature of inflation
 
N. Bilic - "Hamiltonian Method in the Braneworld" 2/3
N. Bilic - "Hamiltonian Method in the Braneworld" 2/3N. Bilic - "Hamiltonian Method in the Braneworld" 2/3
N. Bilic - "Hamiltonian Method in the Braneworld" 2/3
 
Report
ReportReport
Report
 
Mann. .black.holes.of.negative.mass.(1997)
Mann. .black.holes.of.negative.mass.(1997)Mann. .black.holes.of.negative.mass.(1997)
Mann. .black.holes.of.negative.mass.(1997)
 
Quark Matter 2015 poster
Quark Matter 2015 posterQuark Matter 2015 poster
Quark Matter 2015 poster
 
Fluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationFluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregation
 
Problems and solutions statistical physics 1
Problems and solutions   statistical physics 1Problems and solutions   statistical physics 1
Problems and solutions statistical physics 1
 
Technicalities about the LHAASO experiment
Technicalities about the LHAASO experimentTechnicalities about the LHAASO experiment
Technicalities about the LHAASO experiment
 
Spillover Dynamics for Systemic Risk Measurement Using Spatial Financial Time...
Spillover Dynamics for Systemic Risk Measurement Using Spatial Financial Time...Spillover Dynamics for Systemic Risk Measurement Using Spatial Financial Time...
Spillover Dynamics for Systemic Risk Measurement Using Spatial Financial Time...
 
Introduction to Quantum Monte Carlo
Introduction to Quantum Monte CarloIntroduction to Quantum Monte Carlo
Introduction to Quantum Monte Carlo
 
Quantum information probes
Quantum information probes Quantum information probes
Quantum information probes
 

More from Orchidea Maria Lecian

Some properties of the Markov chains of the Markov Models of molecular processes
Some properties of the Markov chains of the Markov Models of molecular processesSome properties of the Markov chains of the Markov Models of molecular processes
Some properties of the Markov chains of the Markov Models of molecular processes
Orchidea Maria Lecian
 
A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...
A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...
A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...
Orchidea Maria Lecian
 
Stellar dynamics
Stellar dynamicsStellar dynamics
Stellar dynamics
Orchidea Maria Lecian
 
Stellar dynamics
Stellar dynamicsStellar dynamics
Stellar dynamics
Orchidea Maria Lecian
 
Optics, Optical systems, further theoretical implementations of the Optical E...
Optics, Optical systems, further theoretical implementations of the Optical E...Optics, Optical systems, further theoretical implementations of the Optical E...
Optics, Optical systems, further theoretical implementations of the Optical E...
Orchidea Maria Lecian
 
Some aspects of Fractons
Some aspects of FractonsSome aspects of Fractons
Some aspects of Fractons
Orchidea Maria Lecian
 

More from Orchidea Maria Lecian (20)

Some properties of the Markov chains of the Markov Models of molecular processes
Some properties of the Markov chains of the Markov Models of molecular processesSome properties of the Markov chains of the Markov Models of molecular processes
Some properties of the Markov chains of the Markov Models of molecular processes
 
Geometrical qualities of the generalised Schwarzschild spacetimes
Geometrical qualities of the generalised Schwarzschild spacetimesGeometrical qualities of the generalised Schwarzschild spacetimes
Geometrical qualities of the generalised Schwarzschild spacetimes
 
Some Grad-Shafranov solutions in General Relativity
Some Grad-Shafranov solutions in General RelativitySome Grad-Shafranov solutions in General Relativity
Some Grad-Shafranov solutions in General Relativity
 
A New Lemma of the Optical Equivalence Theorem and applications in optomechan...
A New Lemma of the Optical Equivalence Theorem and applications in optomechan...A New Lemma of the Optical Equivalence Theorem and applications in optomechan...
A New Lemma of the Optical Equivalence Theorem and applications in optomechan...
 
Force-free magnetic field defined in a subset of the boundary
Force-free magnetic field defined in a subset of the boundaryForce-free magnetic field defined in a subset of the boundary
Force-free magnetic field defined in a subset of the boundary
 
A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...
A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...
A new lemma of the Optical Equivalence Theorem: applications in Theoretical C...
 
Stellar dynamics
Stellar dynamicsStellar dynamics
Stellar dynamics
 
Stellar dynamics
Stellar dynamicsStellar dynamics
Stellar dynamics
 
A novel lemma of the Optical Equivalence Theorem
A novel lemma of the Optical Equivalence TheoremA novel lemma of the Optical Equivalence Theorem
A novel lemma of the Optical Equivalence Theorem
 
Some features of the k-Minkoski space-time: coproduct structures
Some features of the k-Minkoski space-time: coproduct structuresSome features of the k-Minkoski space-time: coproduct structures
Some features of the k-Minkoski space-time: coproduct structures
 
Optics, Optical systems, further theoretical implementations of the Optical E...
Optics, Optical systems, further theoretical implementations of the Optical E...Optics, Optical systems, further theoretical implementations of the Optical E...
Optics, Optical systems, further theoretical implementations of the Optical E...
 
O.M. Lecian LHAASO Further references: part 2.
O.M. Lecian LHAASO Further references: part 2.O.M. Lecian LHAASO Further references: part 2.
O.M. Lecian LHAASO Further references: part 2.
 
About Fractons- further investigations
About Fractons- further investigationsAbout Fractons- further investigations
About Fractons- further investigations
 
About Fractons: further investigations- several models
About Fractons: further investigations- several modelsAbout Fractons: further investigations- several models
About Fractons: further investigations- several models
 
Some aspects of Fractons
Some aspects of FractonsSome aspects of Fractons
Some aspects of Fractons
 
Quantum-systems investigations vs optical-systems ones
Quantum-systems investigations vs optical-systems onesQuantum-systems investigations vs optical-systems ones
Quantum-systems investigations vs optical-systems ones
 
Modular structures and extended-modular-group- structures after Hecke pairs
Modular structures and extended-modular-group- structures after Hecke pairsModular structures and extended-modular-group- structures after Hecke pairs
Modular structures and extended-modular-group- structures after Hecke pairs
 
Folding, tiling and tori: a Hamiltonian analysis, O.M. Lecian, 17 January 2018
Folding, tiling and tori: a Hamiltonian analysis, O.M. Lecian, 17 January 2018Folding, tiling and tori: a Hamiltonian analysis, O.M. Lecian, 17 January 2018
Folding, tiling and tori: a Hamiltonian analysis, O.M. Lecian, 17 January 2018
 
Advantages of quadratic quantization techniques in the description of the pre...
Advantages of quadratic quantization techniques in the description of the pre...Advantages of quadratic quantization techniques in the description of the pre...
Advantages of quadratic quantization techniques in the description of the pre...
 
Imprints of the semiclassical phase of the evolution of the universe on moder...
Imprints of the semiclassical phase of the evolution of the universe on moder...Imprints of the semiclassical phase of the evolution of the universe on moder...
Imprints of the semiclassical phase of the evolution of the universe on moder...
 

Recently uploaded

Recently uploaded (20)

How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
 
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptxOn_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
On_Translating_a_Tamil_Poem_by_A_K_Ramanujan.pptx
 
Sociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning ExhibitSociology 101 Demonstration of Learning Exhibit
Sociology 101 Demonstration of Learning Exhibit
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17How to Add New Custom Addons Path in Odoo 17
How to Add New Custom Addons Path in Odoo 17
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Basic Intentional Injuries Health Education
Basic Intentional Injuries Health EducationBasic Intentional Injuries Health Education
Basic Intentional Injuries Health Education
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)Jamworks pilot and AI at Jisc (20/03/2024)
Jamworks pilot and AI at Jisc (20/03/2024)
 

Specific aspects of the evolution of antimatter globular clusters domains

  • 1. Orchidea Maria Lecian Sapienza University of Rome ICRA- International Center for Relativistic Astrophysics Specific aspects of the evolution of antimatter globular clusters domains Authors: M.Yu.Khlopov, O.M. Lecian 11th September 2020, Pescara, Italy. THE FOURTH ZELDOVICH VIRTUAL MEETING September 7-11, 2020 orchideamaria.lecian@uniroma1.it lecian@icra.it
  • 2. Abstract In the Affleck-Dine-Linde scenario of baryosynthesis, there exists a possibility of creation of sufficiently large regions with antibaryon excess . Such regions can evolve in antimatter globular clusters. They appear only in the result of domain evolution and only at the stage of galaxy formation. Their number is demonstrated to increase as a function of time, being determined by the mechanism of antibaryon excess generation and on the properties of the inflaton filed and related ones; the number of clusters depends also on the Hubble parameter at the inflationary stage, as well as on the field initial conditions in the Einstein field Equations. Possible evolution of the domains of the antimatter globular clusters provides observational constraints on the mechanisms of inflation, baryosynthesis and evolution of antibaryon domains in baryon-asymmetrical Universe.
  • 3. Introduction In particular inflationary scenarios with nonhomogeneous baryosynthesis, the creation of antimatter can be obtained from the solution of the matter content of the Einstein-Field-Equation. Antimatter is allowed to form antimatter domains, containing a certain number of antibaryons, whose number, volume and correlation functions can be evaluated. Theses features are calculated according the statistical distributions which account for the possibility that 1) a sufficient amount of antimatter (under suitable conditions) can form compact domains; 2) the time evolution of such domains is allowed by the statistical probabilities that the antimatter is not annihilated by ordinary matter domains, and/or by the interaction with external matter (vacuum hypothesis and plasma hypothesis), and/or by competition interaction among the latter matter presence and vacuum content. The different statistical distributions are mathematically demonstrated to be compatible. The correlation function for the antimatter domains can be evaluated at different ages of the Universe (under the suitable hypotheses), and can be refined by the use of statistical estimators, also based on the Bernoulli-distribution comparison, after considering the Standard Cosmological Principle.
  • 4. Summary - Symmetry-breaking scenarios: - ADL scenario. - Antimatter domains - Evaluation of the number of antimatter domains: - Statistical distributions: - Gaussian distribution; - Gauss-minus distribution. - Discrete statistical distributions: Poisson Distribution, Binomial distribution - Non-central continuous distributions: - Fisher’s non-central Hypergeometric Distribution; - Modified Wallenius’ Hypergeometric Distribution; - Generalized non-central Hypergeometric Distribution; - Comparison: a theorem - Correlation function(s) for antimatter domains: - (Bernoulli distribution-based possibilities) - Outlook
  • 5. Symmetry-breaking scenario V (φ1, φ2, χ) = −µ2 1(φ+ 1 φ1 + φ+ 2 φ2) + λ1[(φ+ 1 φ1)2 + (φ+ 2 φ2)2 ] + 2λ3(φ+ 1 φ1)(φ+ 2 φ2)(φ+ 1 φ2) + 2λ4(φ+ 1 φ2)(φ+ 2 φ1) + λ5[(φ+ 1 φ2)2 + h.c.]+ λ6(φ+ 1 φ1 + φ+ 2 φ2)(φ+ 1 φ2 + φ+ 2 φ1) − µ2 2χ+ χ + δ(χ+ χ)2 + 2α(χ+ χ)(φ+ 1 φ1 + φ+ 2 φ2) + 2β[(φ+ 1 χ)(χ+ φ1) + (φ+ 2 χ)(χ+ φ2)] for effective low-energy electroweak SU(2) ⊗ U(1) theory. A GUT spontaneous CP violation would imply the formation of vacuum structures separated from the rest of the matter universe by domain walls, whose size is calculated to grow with the evolution of the Universe. This behavior is calculated not not affect the evolution of the Universe if the volume energy ˜ρ(V ) density of the walls for ˜ρ(V ) ∼ σ2 φT4/˜h, with ˜h the value of the scalar coupling constant.
  • 6. A CP-invariant Lagrangean was chosen of form L = (∂φ)2 − λ2 (φ2 − χ2 )2 + ¯ψ(i∂ − m − igγ5φ)ψ where the vacuum is characterized by < φ >= ση, with σ = ±1. L = (∂χ)2 − 1 2 m2 χχ2 −4σλ2χη3 −λ2 χ4 + ¯ψ(iˆ∂−M−i gm M γ5χ− g2ση M χ)ψ. A CP violation can be achieved after the substitution φ = χ + ση.
  • 7. Characteristical features of antimatter domains - minimal mass for an antimatter domain to evolve in time without being annihilated estimated as ≃ 103M⊙ for a temperature below 4000K, with the initial condition of the time t0 corresponding to 9000K; - antimatter density in the antimatter domains 3 orders of magnitude less than the baryon density; - correlation functions can be written after solving the fluid equation for the diffusion coefficient D(t) via the baryon-to-photon ratio r ≡ nb/n˜γ ∂t ∂t = D(t) ∂2 t ∂x2 , r(R, t0) = r0, x < 0, r(R, t0) = 0, x > 0, to evaluate the physical distance covered by atoms after the recombination age until the present time.
  • 8. Calculation of number of domains The number of domains ¯N as a function of the number of e-folds ˜N at the time ta corresponding to ˜Nc reads ¯N( ˜Nc, ˜N0) − ¯N0 ≃ ln ¯N( ˜Nc, ˜N0; ta) ¯N0 ≤ ln (eθ)feff ( ˜Nc) √ 2 1 − feff ( ˜Nc − ˜N0) (σ(ta − t0))2 . In the case the variance should be dependent on the number of e-folds ˜Nι and on the size of the Universe at the time of Galaxy formation, different estimations can be conducted, according to the variables which need be outlined. After considering the definition ˜N ≡ H∆t for the standard deviation, the following estimation of number of antimatter domain is found ¯N( ˜Nc, ˜N0)− ¯N0 ln (eθ)feff ( ˜Nc) √ 2   1 − 4π2 f 1 + gφχ 12πλ (Hcta − Hιtι) ln LueHcta −eHιtι l 2 (ta − tι)2    which depends on the time tι at which the number estimation is formulated, between the time interval ∆t ≡ (ta − t0), with t0 ≤ tι ≤ ta.
  • 9. Gaussian distribution The choice for a Gaussian distribution of the number of antibaryons in each domain leads to the evaluation of the number of antimatter domains as ˜N − ˜N0 ≃ ln θι θc + ln(1 + θc + θ2 c /2) − ln(1 + θι − θ2 ι /2) · · ln LueHc(tc−t0) − eH0t0 l (eθ60 − eθι ) θ60 − θ0 χ60 − χ0 [f(ta) − f(t0)] + feff 1 H 3/2 c − H (3/2) ι (tc − tι)
  • 10. Gauss-minus distribution N(t) − N0 ≡ 4π2 e2θ0 2feff ln 1 N0l 2 1 − 2 LueNc ln 1N0l 1 + 1 ln feff ρc∆tc ρ0∆t0 (1 − 1 2 ( ρc∆tc ρ0∆t0 )−1) ρ(t) t4 with ρ(t))t4 to be evaluated at the necessary time ι after the time t0. with a two-parameter Gaussian-modified distribution P− ∝ 1 2π(σ2− 1 λ2 ) e − ak ς2 e − bk ς2 , i.e. with a Gaussian-modified dispersion relation ς2 ≡ (σ2 − 1 λ2 )ς ≡ ln N0 l + π − Luec−N0 l − 1 2 Luec−N0 l 2
  • 11. Poisson distribution k antibaryon excess regions of some minimal size (containing antibaryons, able to interact, according to a chosen, modellizable kind of interaction), such that an antimatter domain can be started to be formed; ˜N(k) − ˜N0(k) ≃ n k kn ek n! χta χt0 2 ∆feff (t;ta,ti,t0)· (−2) 4π2 ln LueHc(tc−t0) −eH0t0 l k (t)k−3 the numerical evaluation can be performed by knowing the numerical values of k; for a particular kj = 0, kj ∈ n, indeed, for the Poisson distribution, as well as for other probability distributions, an antibaryon not neighbouring with another antibaryon should be neighbouring with ordinary matter, vacuum or plasma, and the event does not contribute to the domain formation (within the sum) which defines the boundary condition for the domain. More specifically, for ˜F( ˜N(kj) − ˜N0(kj)) = 0, and k ... + ˜F( ˜N(kj−1) − ˜N0(kj−1)) + ˜F( ˜N(kj) − ˜N0(kj)) + ˜F( ˜N(kj+1) − ˜N0(kj+1)) + ... = = k ... + ˜F( ˜N(kj−1) − ˜N0(kj−1)) + ˜F( ˜N(kj+1) − ˜N0(kj+1)) + ...
  • 12. Binomial distribution ˜N(k) − ˜N0(k) ≃ k 1 (k!)(1 − k)! χta χt0 2 ∆feff (t; ta, ti, t0) (−2) 4π2 · · ln LueHc(tc−t0) − eH0t0 l k (t)k−3 k probability of finding an antibaryon-excess region of some minimal size; pk the probability of finding k − 1 neighbouring antibaryons within an antibaryon-excess region of some minimal size; 2˜n antibaryon density (at least considered for the neighbouring antibaryon-antibaryon interaction), expressed by the efficace expression of H for ˜n antibaryons; n the number of antibaryons surrounding the domain, i.e. n − k relates the number of antibaryons neighbouring with a baryon; (1 − p)n−k the probability that an antibaryon (in an antibaryon-excess region of some minimal size) is neighbouring with an baryon, i.e. at the domain boundary
  • 13. Non-central Fisher’s Hypergeometric Distribution na = number of antibaryon(s) within one antibaryon cluster; nb = number of baryon(s) within one cluster; xmin ≡ max(0, n − na); xmax ≡ min(n, nb); N = na + nb; n ≡ number of considered (neigbouring) antibaryons; ω ≡ ωa/ωb weight; example: probability of existence of one antibaryon P ≡ ωama ωana+ωbnb ; variance σ2 = N N−1/ 1 µ + 1 na−µ + 1 n−µ + 1 µ+mb−n µ ≡ − 2nanω (na+n)(1−ω)−N− √ ((na+n)(1−ω)−N)2−4(ω−1)(nanω) number of domains as a function of the volume V evolving in time time-dependent volume of the number of domains
  • 14. N(tι) − N(t0) = 1 √ 2 t0 tι x=n x=n−nb ma! x!(ma−x)! mb! x!(mb−x)! ω(ρ)x x=n y=n−nb ma! y!(ma−y)! mb! y!(mb−y)! ω(ρ)y · · ln (ln ln(˜a) t ) (3m2 P l)2 mfeff (8π)2 1 + gφP l 12πλ H∆(t) · · [ 1 ˜a d˜a dt 1 t (3Mm2 P l)2 mfeff 1 + gχ 12πλ Hι∆t (8π)2 + − ln ˜a 1 t2 (3Mm2 P l)2 mfeff 1 + gχ 12πλ Hι∆t (8π)2 + − 1 2 ln ˜a t (3Mm2 P l)2 mfeff ( gφχMmP l 12πλ )Hι 1 + gχ 12πλ Hι∆t(8π)2 ]dt ≡
  • 15. ≡ 1 √ 2 t0 tι x=n x=n−nb ma! x!(ma−x)! mb! x!(mb−x)! ω(ρ)x x=n y=n−nb ma! y!(ma−y)! mb! y!(mb−y)! ω(ρ)y · · ln n mf   − 1 mfeff ( gφχMmP l 12πλ )Hι 1 + gχ 12πλ Hι∆t(8π)2 dn dt − n mfeff 1 + gχ 12πλ Hι∆t V 2(t(n))(8π)2 dV dt    dt ≡ t0 tι P(χ) ln χdχ(t) The Hubble parameter H(tι) can be considered also as HI, as the FRW scale factor ˜aHI t; in the case of barionic matter with density ρb, ωρb ≡ 0 for ρb ∼ ˜a−4
  • 16. (modified) Non-central Wallenius’ Hypergeometric Distribution N = na + nb; n ∈ [0, N) ≡ number of considered (neighbouring) antibaryons; ω ∈ R+; x ∈ [xmin, xmax]; xmin = max(0, n − mb); xmax = min(n, ma); 1 − P ≡ ma! x!(x−ma)! mb! (n−x)!(mb−n+x)! 0 1 (1 − qω/D)x(1 − q1/D)n−xdq; D ≡ ω(ma − x) + mb − n + x; variance N N−1 µ(m1−µ)(n−µ)(µ+mb−n) ma(n−µ)(µ+mb−n)+mbµ(ma−µ); time-dependent volume of the number of domains: na = number of antibaryon(s) within one antibaryon cluster nb = number of baryon(s) within one cluster xmin ≡ max(0, n − na) xmax ≡ min(n, nb) N = na + nb
  • 17. N(tι) − N(t0) = 1 √ 2 t0 tι ma! x!(x − ma)! mb! (n − x)!(mb − n + x)! · · 0 1 (1 − qω/D )x (1 − q1/D )n−x dq · · ln (ln ln(˜a) t ) (3m2 P l)2 mfeff (8π)2 1 + gφP l 12πλ H∆(t) · · [ 1 ˜a d˜a dt 1 t (3Mm2 P l)2 mfeff 1 + gχ 12πλ Hι∆t (8π)2 + − ln ˜a 1 t2 (3Mm2 P l)2 mfeff 1 + gχ 12πλ Hι∆t (8π)2 + − 1 2 ln ˜a t (3Mm2 P l)2 mfeff ( gφχMmP l 12πλ )Hι 1 + gχ 12πλ Hι∆t(8π)2 ]dt ≡
  • 18. N(tι) − N(t0) = 1 √ 2 t0 tι ma! x!(x − ma)! mb! (n − x)!(mb − n + x)! · · 0 1 (1 − qω/D )x (1 − q1/D )n−x dq · · ln n mf   − 1 mfeff ( gφχMmP l 12πλ )Hι 1 + gχ 12πλ Hι∆t(8π)2 dn dt + − n mfeff 1 + gχ 12πλ Hι∆t V 2(t(n))(8π)2 dV dt dt
  • 19. Generalized non-central hypergeometric distribution N = na + nb n ∈ [0, N) ω ∈ R+ x ∈ [xmin, xmax] xmin = max(0, n − mb) xmax = min(n, ma) 1 − P ≡ ma! x!(x−ma)! mb! (n−x)!(mb−n+x)! 0 1 (1 − qω/D)x(1 − q1/D)n−xdq D ≡ ω(ma − x) + mb − n + x - weight parameter ̟ can be interpreted as accounting for the phenomena concerning the domains and the interaction of the antibaryons within the domains. The corresponding expression of the probabilities as a function of z ≡ x/ma is obtained as P(z) = C1I1 + C2I2, with
  • 20. C1 = (N − mbma)! mb ma ! k ma ! n−k ma ! N − mb − k − 1 ma ! mb − n − k ma !, C2 = C mb − n + k N − mb − k , I1 = 0 1 qk/ma (1 − q)(N−mb−k)/ma ln(n−k)/ma (1 − q)−ma/̟ · · [1 − ln(1 − q)−ma/̟ mb−n+k ma dq, I2 = 0 1 1 − q−̟q/ma e−̟q(N−mb−k)/ma q n−k ma (1 − q) mb−n+k−1 ma dq.
  • 21. The number of such domains, according to their number and the number of antibaryons contained is therefore calculated as N(tι) − N(t0) = 1 √ 2 (C1I1 + C2I2) · · ln (ln ln(˜a) t ) (3m2 P l)2 mfeff (8π)2 1 + gφmP l 12πλ H∆(t) [ 1 ˜a d˜a dt 1 t (3Mm2 P l)2 mfeff 1 + gχ 12πλ Hι∆t (8π)2 + − ln ˜a 1 t2 (3Mm2 P l)2 mfeff 1 + gχ 12πλ Hι∆t (8π)2 − 1 2 ln ˜a t (3Mm2 P l)2 mfeff ( gφχMmP l 12πλ )Hι 1 + gχ 12πλ Hι∆t(8π)2 ]dt ≡ ≡ 1 √ 2 (C1I1 + C2I2) · · ln n mf   − 1 mfeff ( gφχMmP l 12πλ )Hι 1 + gχ 12πλ Hι∆t(8π)2 dn dt − n mfeff 1 + gχ 12πλ Hι∆t V 2(t(n))(8π)2 dV dt    dt.
  • 22. Matter/antimatter symmetric Universe NB( ¯B) ≃ − g2f2mθ 8π2 Wi2 θi ±θi/2 ∞ dω sin2 ω ω ≃ 1 2 This way, also the probability should be modified by assuming ρ = const = 1/2, by substituting the pertinent expression Pχ ≡ 1 − f21/4 1√ 2 + gφχ 2πλ √ ∆tι − √ ∆t0 σ2 ˜N(tta ) − ˜N(tι) = = ta tι ln 1 2feff 1 + 1 2 gφχ 2πλ √ t 4π2f2 eff t2 1 2feff 1 4 t−1/2 dt ≃ 1 4 1 2 gφχ 2πλ 1 ta − 1 tι
  • 23. Comparison - it is possible to compare the error on the variance of a generaical statistical distribution with that of a Gaussian statistical distribution, without loss of information, for the different dependence on time of the GR solutions obtained: majorize the error by a linear operator S by a linear mapping ¯N weighted by a parameter φ, which can be also time dependent || Sx − φ ¯N || in a spherical neighborhood of each antibaryon, placed in ¯x as X | Sx − φ ¯N || d¯µ(X) such that there exists ǫ > 0 such that inf{ ǫ > 0 : ¯µ{ ¯x ∈ X :| Sx − φ ¯N ||> ǫ} ≤ δ} where δ of (also time-dependent) Planckian order . - choice of linearity for the operator S compatible with the first-order approximation i time for each calculation accomplished; - competition at the boundary surfaces of the domains with void, plasma, intergalactical medium, and the production of hypernuclei also possible.
  • 24. Correlation distribution of antimatter domains N(r) ∝ rD2 1 + ξ(r) ∝ rD2−2 N(tι) − N(t0) = 1 √ 2 t0 tι 1 √ 2 (C1I1 + C2I2) · · ln (ln ln(˜a) t ) (3m2 P l)2 mfeff (8π)2 1 + gφχMmP l 12πλ H∆(t) · · [ 1 ˜a d˜a dt 1 t (3Mm2 P l)2 mfeff 1 + gφχ 12πλ Hι∆t (8π)2 + − ln ˜a 1 t2 (3Mm2 P l)2 mfeff 1 + gφχ 12πλ Hι∆t (8π)2 + − 1 2 ln ˜a t (3Mm2 P l)2 mfeff ( gφχMmP l 12πλ )Hι 1 + gφχ 12πλ Hι∆t(8π)2 ]dt ≡
  • 25. ≡ 1 √ 2 t0 tι 1 √ 2 (C1I1 + C2I2) · · ln n mf   − 1 mfeff ( gφχMmP l 12πλ )Hι 1 + gφχ 12πλ Hι∆t(8π)2 dn dt − n mfeff 1 + gφχ 12πλ Hι∆t V 2(t(n))(8π)2 dV dt    dt ≡ ˜Nι − ˜N0 V 0 r 4πs2 sD2−2 ds D2 correlation dimension
  • 26. Two-point correlation function: use of estimators (Hamilton estimator, Davis-and-Peebles estimator, Landy-Szalay estimator, ... for generating binomial distributions of pairs of correlated objects. The distances between pairs of antimatter can be estimated; - evaluation of the distances for pairs of antimatter domain and matter domain) for the initial conditions. A a point of the Poisson simulation can be chosen as 1) an arbitrary point; or 2) the presence of a single antibaryon, according to the presence of antimatter (antinuclei) in the intergalactic medium, as in [?] for obtaining a correlation within the corresponding times. 3) pairs of antimatter domains; 4) pairs of antimater domains and antibaryons; 5) pairs characterized by the same interval. The results of the binomial/Poisson distributions obtained for a simulation of the pairs of objects defined in the estimators can be compared with the experimental data referred to, for example, - primordial non-Gaussianities, - data available for other times of evolution of the Universe.
  • 27. Thank You for Your attention!
  • 28. References -I. Affleck and M. Dine, A New Mechanism for Baryogenesis,” Nucl. Phys. B 249 (1985) 361; -A.Vilenkin and L.Ford, Phys.Rev. D26, 1231 (1982); A.D.Linde, Phys.Lett. 116B 335 (1982); - V. M. Chechetkin, M. y. Khlopov, M. G. Sapozhnikov and Y. B. Zeldovich, Astrophysical Aspects Of Anti-proton Interaction With He-4 (antimatter In The Universe), Phys. Lett. 118B (1982) 329; - V. A. Kuzmin, M. E. Shaposhnikov and I. I. Tkachev, Matter - Antimatter Domains in the Universe: A Solution of the Vacuum Walls Problem, Phys. Lett. 105B (1981) 167; - Y. B. Zeldovich, I. Y. Kobzarev and L. B. Okun, Cosmological Consequences of the Spontaneous Breakdown of Discrete Symmetry, Zh. Eksp. Teor. Fiz. 67 (1974) 3 [Sov. Phys. JETP 40 (1974) 1]; - M.Yu.Khlopov, S.G.Rubin and A.S.Sakharov Possible origin of antimatter regions in the baryon dominated Universe. Phys. Rev. (2000) V. D62, P. 083505; - K.M.Belotsky, Yu.A.Golubkov, M.Yu.Khlopov, R.V.Konoplich and A.S.Sakharov. Anti-helium flux as a signature for antimatter globular cluster in our Galaxy. Yadernaya Fizika (2000) V. 63, PP. 290-296. [English translation: Phys.Atom.Nucl. (2000) V. 63, PP. 233-239]; astro-ph/9807027; - M.Yu.Khlopov, S.G.Rubin and A.S.Sakharov Macroscopically large antimatter regions in the baryon asymmetric universe. Invited talk given at the CAPP2000 Conference on Cosmology and Particle Physics 17-28 July 2000, Verbier, Switzerland. E-print hep-ph/0010185, In: Cosmology and Particle Physics, AIP Conference Proceedings (2001). V.555, PP. 421;
  • 29. - Loertscher, Simon, Muir, Ellen V., Taylor, Peter G., A general noncentral hypergeometric distribution Communication in Statistics- Theory and Methods2016 / 05, 2016; - Stefan Heinrich, Probabilistic complexity analysis for linear problems in bounded domains, Journal of Complexity1990 Vol. 6; Iss. 3 1990, Pages 231-255; - Astroparticle Physics2000 Vol. 12; Iss. 4 Evolution and observational signature of diffused antiworld Evolution and observational signature of diffused antiworld M.Yu. Khlopov, R.V. Konoplich, R. Mignani, S.G. Rubin, A.S. Sakharov Volume: 12, 2000; - M. Y. Khlopov, S. G. Rubin and A. S. Sakharov, XIVth RENCONTRES DE BLOIS, MATTERANTIMATTER ASYMMETRY [arXiv:hep-ph/0210012 [hep-ph]]; - V. M. Chechetkin, M. Yu. Khlopov and M. G. Sapozhnikov, RIVISTA DEL NUOVO CIMENTO VOL. 5, N. 10 1982 Antiproton Interactions with Light Elements as a Test of GUT Cosmology;
  • 30. Further References - Astroparticle Physics2000 Vol. 12; Iss. 4 Evolution and observational signature of diffused antiworld Evolution and obser- vational signature of diffused antiworld M.Yu. Khlopov, R.V. Konoplich, R. Mignani, S.G. Rubin, A.S. Sakharov Volume: 12, 2000; - A.G. Cohen, A. De Rujula, S.L. Glashow, Astrophys. J. 495, 1998. 539; - Constraints on primordial non-Gaussianity using multitracer technique for skew spectrum, JP Dai, JQ Xia, arXiv preprint arXiv:2008.02970. - A. Monnai, Dissipative hydrodynamic effects on baryon stopping, Phys. Rev. C 86, 014908 (2012).