anarchy, neutrinoless double beta decay and...
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Anarchy, Neutrinoless double beta decay and Leptogenesis
Xiaochuan Lu and Hitoshi Murayama
NuFact 2013, Aug 22nd
UC Berkeley
2
• Anarchy approach applied to neutrino physics
Outline
• What is Anarchy Approach
Neutrinoless double beta decay
Leptogenesis
A method to study the parameter space
What is Anarchy Approach?
3
the next-layer model ?
explain predict
, , ,,( )ma λ θ α δ=known unknown
A method to study the parameter space
What is Anarchy Approach?
4
the next-layer model ?
explain predict
, , ,,( )ma λ θ α δ=known unknown
0a a=
0 1a a a= +
0 1 22a a a a= + + +
A method to study the parameter space
What is Anarchy Approach?
5
the next-layer model ?
explain predict
, , ,,( )ma λ θ α δ=known unknown
0a a=
0 1a a a= +
0 1 22a a a a= + + +
Monarchy
A method to study the parameter space
What is Anarchy Approach?
6
( )a daρ• Dimensional analysis • Symmetries • Cuts
the next-layer model ?
explain predict
, , ,,( )ma λ θ α δ=known unknown
0a a=
0 1a a a= +
0 1 22a a a a= + + +
Monarchy
A method to study the parameter space
What is Anarchy Approach?
7
( )a daρ• Dimensional analysis • Symmetries • Cuts
the next-layer model ?
explain predict
, , ,,( )ma λ θ α δ=known unknown
0a a=
0 1a a a= +
0 1 22a a a a= + + +
Monarchy Anarchy
relax
constrain
Anarchy is a kind of Statistics
How to understand anarchy
8 Anarchical model
explain predict
, , ,,( )ma λ θ α δ=
relax
constrain
Anarchy is a kind of Statistics
How to understand anarchy
9 Anarchical model
explain predict
, , ,,( )ma λ θ α δ=check consistency
relax
constrain
Anarchy is a kind of Statistics
How to understand anarchy
10 Anarchical model
explain predict
, , ,,( )ma λ θ α δ=check consistency
distribution
relax
constrain
Anarchy is a kind of Statistics
How to understand anarchy
11 Anarchical model
explain predict
, , ,,( )ma λ θ α δ=check consistency
distribution
expectation
relax
constrain
Anarchy is a kind of Statistics
How to understand anarchy
12 Anarchical model
explain predict
, , ,,( )ma λ θ α δ=check consistency
distribution
correlation
expectation
13
( ) 01 . .2
cDc L
L R TD R R
mh c
m mν
ν νν
⊃ − +
Seesaw Mechanism, 3 generations
Neutrino Anarchy: model
Tm U D Uν ν ν ν=
1 TD R Dm m m mν
−=
14
( ) 01 . .2
cDc L
L R TD R R
mh c
m mν
ν νν
⊃ − +
Seesaw Mechanism, 3 generations
Neutrino Anarchy: model
Tm U D Uν ν ν ν=
1 TD R Dm m m mν
−=normal inverted
2 2 221 2 1m m m∆ ≡ −2 2 232 3 2m m m∆ ≡ −Masses
15
( ) 01 . .2
cDc L
L R TD R R
mh c
m mν
ν νν
⊃ − +
Seesaw Mechanism, 3 generations
Neutrino Anarchy: model
Tm U D Uν ν ν ν=
1 TD R Dm m m mν
−=normal inverted
2 2 221 2 1m m m∆ ≡ −2 2 232 3 2m m m∆ ≡ −Masses
1
2
3
e
Uνµ
τ
ν νν νν ν
=
Mixings
known
213sin 2 0.095 0.010θ = ±
223sin 2 0.95 (90% C.L.)θ >
212sin 2 0.857 0.024θ ±=
2 5 221 (7.50 0.20) 10m eV−∆ = ± ×
2 0.12 3 232 0.082.32 10m eV+ −
−∆ = ×
unknown
δCP phase
232m∆Sign of (mass hierarchy)
1mNeutrino mass scale
Other physical phases 1χ 2χ,
Neutrinoless double beta decay ffemLeptogenesis 0Bη
Neutrino Anarchy: parameters
16
known
213sin 2 0.095 0.010θ = ±
223sin 2 0.95 (90% C.L.)θ >
212sin 2 0.857 0.024θ ±=
2 5 221 (7.50 0.20) 10m eV−∆ = ± ×
2 0.12 3 232 0.082.32 10m eV+ −
−∆ = ×
unknown
δCP phase
232m∆Sign of (mass hierarchy)
1mNeutrino mass scale
Other physical phases 1χ 2χ,
Neutrinoless double beta decay ffemLeptogenesis 0Bη
Ddmdistribution (measure)
Rdm
Neutrino Anarchy: parameters
17
Dm∗ ∗ ∗ = ∗ ∗ ∗ ∗ ∗ ∗
A tempting choice: Entry Independence
What measure to choose? ,D Rdm dm
Rm∗ ∗ ∗ = ∗ ∗ ∗
generated independently
Each free entry ∗ is
18
Dm∗ ∗ ∗ = ∗ ∗ ∗ ∗ ∗ ∗
A tempting choice: Entry Independence
What measure to choose? ,D Rdm dm
Rm∗ ∗ ∗ = ∗ ∗ ∗
A second thought: Basis Independence
generated independently
Each free entry ∗ is
19
Dm∗ ∗ ∗ = ∗ ∗ ∗ ∗ ∗ ∗
A tempting choice: Entry Independence
What measure to choose? ,D Rdm dm
Rm∗ ∗ ∗ = ∗ ∗ ∗
A second thought: Basis Independence
generated independently
Each free entry ∗ is
No distinction among three generations
20
Dm∗ ∗ ∗ = ∗ ∗ ∗ ∗ ∗ ∗
A tempting choice: Entry Independence
What measure to choose? ,D Rdm dm
Rm∗ ∗ ∗ = ∗ ∗ ∗
A second thought: Basis Independence
generated independently
Each free entry ∗ is
0
0
L L L
R R R
UU
ν νν ν′ =′ =
No distinction among three generations
21
Dm∗ ∗ ∗ = ∗ ∗ ∗ ∗ ∗ ∗
A tempting choice: Entry Independence
What measure to choose? ,D Rdm dm
Rm∗ ∗ ∗ = ∗ ∗ ∗
A second thought: Basis Independence
generated independently
Each free entry ∗ is
0
0
L L L
R R R
UU
ν νν ν′ =′ =
†0 0D D L D Rm m U m U′→ =
*0R R Rm m U′→ = †
0R Rm U
No distinction among three generations
22
Dm∗ ∗ ∗ = ∗ ∗ ∗ ∗ ∗ ∗
A tempting choice: Entry Independence
What measure to choose? ,D Rdm dm
Rm∗ ∗ ∗ = ∗ ∗ ∗
A second thought: Basis Independence
generated independently
Each free entry ∗ is
0
0
L L L
R R R
UU
ν νν ν′ =′ =
†0 0D D L D Rm m U m U′→ =
*0R R Rm m U′→ = †
0R Rm UD D
R R
dm dmdm dm
′ =′ = 0 0,L RU U∀
No distinction among three generations
23
Basis Independence
24
1 2 0D
R R R
dm dU dU dDdm dU dD
==
Factorize
1 2, , RdU dU dUHaar measure
RRU UU→invariant RdU
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence
Haar measure 1U Haar measure Uν
25
1 2 0D
R R R
dm dU dU dDdm dU dD
==
Factorize
1 2, , RdU dU dUHaar measure
RRU UU→invariant RdU
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence
1 3 2 8 1 3 2 8
13 13 12 12
23 23 12 12
23 23 13 13
1 0 0 0 00 0 1 0 00 0 0 0 1
i
i i i ii
i
c s e c sU e e c s s c e
s c s e c
δ
φ λ φ λ χ λ χ λη
δν
−
+ +
= −
− −
Haar measure 1U Haar measure Uν
26
1 2 0D
R R R
dm dU dU dDdm dU dD
==
Factorize
1 2, , RdU dU dUHaar measure
RRU UU→invariant RdU
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence
1 3 2 8 1 3 2 8
13 13 12 12
23 23 12 12
23 23 13 13
1 0 0 0 00 0 1 0 00 0 0 0 1
i
i i i ii
i
c s e c sU e e c s s c e
s c s e c
δ
φ λ φ λ χ λ χ λη
δν
−
+ +
= −
− −
Haar measure 1U Haar measure Uν
2 4 223 13 12 1 2 1 2dU ds dc ds d d d d d dν δ χ χ η φ φ= ⋅ ⋅ Haar measure
27
1 2 0D
R R R
dm dU dU dDdm dU dD
==
Factorize
1 2, , RdU dU dUHaar measure
RRU UU→invariant RdU
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
28
23θ
12θ13θ
completely consistent
{ }212 23 13sin 2 , , ,x θ θ θ θ θ= ∈
1( )2 1
xx
ρ =−
Distribution of mixing angles
2 4 223 13 12 1 2 1 2dU ds dc ds d d d d d dν δ χ χ η φ φ= ⋅ ⋅
siny δ=
2
1( )1
yyπ
ρ =−
29
Distribution of phases
2 4 223 13 12 1 2 1 2dU ds dc ds d d d d d dν δ χ χ η φ φ= ⋅ ⋅ uniform distribution
siny δ=
2
1( )1
yyπ
ρ =−
30
Distribution of phases
2 4 223 13 12 1 2 1 2dU ds dc ds d d d d d dν δ χ χ η φ φ= ⋅ ⋅ uniform distribution
2 2213 2312
12 12 23 132
23 1316 s sin sin sin4 4 4
ine em L m Lm LP P c
E Es
Es c s cµ µ δ ∆ ∆∆
− = −
31
Entry Independence
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence 01 2, , , ,R RU U D U D independent
Haar measure 1 2, , RdU dU dU
32
Entry Independence
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence 01 2, , , ,R RU U D U D independent
Haar measure 1 2, , RdU dU dU
Entry Independence
33
Entry Independence
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence 01 2, , , ,R RU U D U D independent
Haar measure 1 2, , RdU dU dU
Entry Independence
34
Entry Independence
†1 0 2unitD
unitMD
TR R R R
m U D Um U D U
= ⋅
= ⋅
Parameterization
Basis Independence 01 2, , , ,R RU U D U D independent
Haar measure 1 2, , RdU dU dU
Entry Independence Each free entry Gaussian measure
36
Mass splits and mass hierarchy
The Cuts 5
3
223
212
213
7.59 10 (1 0.05)2.32 10
sin 2 1.0
sin 2 0.861
sin 2 0.092
R
θ
θ
θ
−
−
×∈ × ±
×=
=
=
exp130
R ≈
completely consistent
2
2s
l
R mm
∆≡∆
37
Mass splits and mass hierarchy
The Cuts 5
3
223
212
213
7.59 10 (1 0.05)2.32 10
sin 2 1.0
sin 2 0.861
sin 2 0.092
R
θ
θ
θ
−
−
×∈ × ±
×=
=
=
Normal Hierarchy Scenario without cut 95.9%
with cut 99.9%
exp130
R ≈
completely consistent
2
2s
l
R mm
∆≡∆
Neutrinoless double beta decay
lepton number violation 2L∆ =
imiν
iν
,eiUν
,eiUν
light-neutrino mass matrix is Majorana mν
1 TD R Dm m m mν
−=Anarchy prediction:
38
Neutrinoless double beta decay
lepton number violation 2L∆ =
imiν
iν
,eiUν
,eiUν
light-neutrino mass matrix is Majorana mν
1 TD R Dm m m mν
−=Anarchy prediction:
39
Neutrinoless double beta decay
lepton number violation 2L∆ =
imiν
iν
,eiUν
,eiUν
light-neutrino mass matrix is Majorana mν
1 TD R Dm m m mν
−=Anarchy prediction:
2eff
20 eff ,, ei i
im U mmνβ νβ =Γ ∝ ∑
40
43
experimentally challenging
without cuts eff 0.05m eVwith cuts eff 0.01m eV
Neutrinoless double beta decay
2 3 232
unitD 30
unitM 2.5 10
GeV
m eV−
=
→ ∆ = ×
44
Leptogenesis
Baryon asymmetry today 100
0 6 10BB
nnγ
η −= ×
CP violation ,R Dm m complex
0L ≠
0B L− ≠
0.35( )B B L= −
1 1N l N lφ φ≠→ →
45
Leptogenesis
Baryon asymmetry today 100
0 6 10BB
nnγ
η −= ×
CP violation ,R Dm m complex
0L ≠
0B L− ≠
0.35( )B B L= −
1 1N l N lφ φ≠→ →
,D Rm m
light-neutrino parameters
0Bηleptogenesis
47
light-neutrino masses and mixings favor leptogenesis
Apply the Cuts
Correlations
100 6 10Bη
−×
,D Rm m
light-neutrino parameters
0Bηleptogenesis
48
Correlation?
light-neutrino masses and mixings favor leptogenesis
Apply the Cuts
Correlations
100 6 10Bη
−×
49
Correlations
has no correlation with light-neutrino mixings 0Bη Uν
has no correlations with 13 23 112 2, , , ,θ θ θ χ χ or δ0Bη
could have correlations with and thus eff,R m0Bη Dν
213sin 2 0.095 0.010θ = ±
223sin 2 0.95 (90% C.L.)θ >
212sin 2 0.857 0.024θ ±=
2 5 221 (7.50 0.20) 10m eV−∆ = ± ×2 0.12 3 232 0.082.32 10m eV+ −
−∆ = ×
Completely Consistent
Summary
55
δCP phase and 1χ 2χ, uniform, maximal CP violation 232m∆Sign of 99.9% normal hierarchy
213sin 2 0.095 0.010θ = ±
223sin 2 0.95 (90% C.L.)θ >
212sin 2 0.857 0.024θ ±=
2 5 221 (7.50 0.20) 10m eV−∆ = ± ×2 0.12 3 232 0.082.32 10m eV+ −
−∆ = ×
Completely Consistent
Summary
56
δCP phase and 1χ 2χ, uniform, maximal CP violation 232m∆Sign of 99.9% normal hierarchy
213sin 2 0.095 0.010θ = ±
223sin 2 0.95 (90% C.L.)θ >
212sin 2 0.857 0.024θ ±=
2 5 221 (7.50 0.20) 10m eV−∆ = ± ×2 0.12 3 232 0.082.32 10m eV+ −
−∆ = ×
Completely Consistent
Summary
0Bη
very challenging to experimental sensitivity effm
on the correct order of magnitude
weak negative correlations with and effmRno correlations with 13 23 112 2, , , ,θ θ θ χ χ or δ
57