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Introduction ∆(27) model Conclusion

Family symmetries and fermion masses/mixings

Ivo de Medeiros Varzielas

Rudolph Peierls Centre for Theoretical Physics University of Oxford

2007/04/11

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction ∆(27) model Conclusion Outline

1 Introduction The data Family symmetries

2 ∆(27) model Overview Mass terms HPS tri-bi-maximal mixing Vacuum alignment

3 Conclusion Mixing angles predicted

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion : Yukawa couplings

Yukawa Lagrangian u i c,j u i c,j ¯ LYukawa = Yij Q u H + Yij Q u H

Mass matrices

u u 0 Mij = Yij hH i

d d ¯ 0 Mij = Yij hH i

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Summary of data: masses

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Summary of data: mixing

Wolfenstein parameterization  1 λ λ3  2 VCKM ∼  −λ 1 λ  λ3 −λ2 1 λ ≈ 0.23

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Summary of data: mixing

Harrison-Perkins-Scott

 q 2 q 1  − 3 3 0  q q q  V =  1 1 1  PMNS  6 3 2    q 1 q 1 q 1 6 3 − 2

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion GUT scale texture fits:

Symmetric fits  3 3 0 i u u u 2 2 Y ∼  · u u ·· 1

 3 −i (45)o 3  0 1.7d (0.8)e d d 2 2 Y ∼  · d (2.1)d  ·· 1

d ∼ 0.13 u ∼ 0.048 Paper out soon (today?)

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion GUT scale texture fits: Charged

Georgi-Jarlskog relations To good approximation: mb (M ) = 1 mτ X q → det(M ) ( ) = 11 texture zero det(Ml ) MX 1 Hints of GUT? But: ms (M ) = 1 mµ X 3

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion ?

Seesaw mechanism

ν −1 ν T mν = (MD) (MRR) (MD)

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion : masses

Seesaw formula

ν −1 ν T mν = (MD) (MRR) (MD)

1 generation example  0 m  Mν = D mD mRR ν 2 ν if det (M ) = −mD; tr (M ) = mRR  mD:  −m2 /M 0  Mν ∼ D RR 0 MRR

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Seesaw mechanism: mixing

2 generation SD example    −1  T a1 b1 M1 0 a1 b1 mν = a2 b2 0 M2 a2 b2

 2   2  a1 a1a2 b1 b1b2 = 1/M1 2 + 1/M2 2 a2a1 a2 b2b1 b2

if M1  M2:

heaviest eigenstate ∼ (a1, a2) (mass ∝ 1/M1)

lightest eigenstate ∼ (b1, b2) mass ∝ 1/M2)

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Broken family symmetry

Froggatt-Nielsen Messengers hθihHi mij = Hierarchical structure suggests MX broken symmetry (hθi= 6 0) Suppresions can arise through messengers (ΨX )

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Abelian?

Simple U(1) example U(1) H 0 Respective mass matrix θ −1  4 3 2  d3 0 d 3 2 M = mb      d c 0 3 2  1 d2 1 d c 1 hθi =  2 MX d1 2 c d1 2

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion Non-Abelian?

Reasons SM: F.S. ⊂ U(3)6; SO(10): F.S. ⊂ U(3) d 2 Specific features (e.g. M23 ∼  ) easier to explain Lepton (near) HPS mixing strongly suggests non-Abelian

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction The data ∆(27) model Family symmetries Conclusion SO(10) × SU(3)?

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Objectives

Model features Straightforward to embed into GUT / String unification Explains observed fermion data (3 generations etc.) Explains near HPS lepton mixing

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment GUT

Pati-Salam

SO(10) → SU(4) × SU(2)L × SU(2)R GUT leaves some hints d e u ν SU(4): q ↔ l: M ↔ M (d ↔ e); M ↔ MD d u e ν SU(2)R: M ↔ M (d ↔ u); M ↔ MD SU(2)R breaking associated with d > u

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Family assignments

φ¯ and ψ c The fermions ψi , ψj are triplets of the family symmetry ¯i The flavons φA are anti-triplets ¯i ¯j c Invariant mass terms: φAψi φBψj H

Desired vevs ¯ hφ3i ∝ (0, 0, 1) ¯ hφ23i ∝ (0, 1, −1) ¯ hφ123i ∝ (1, 1, 1)

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Georgi-Jarlskog field

H45

H45 (a 45 of SO(10)) acquiring a vev:

hH45i ∝ Y = T3R + (B − L)/2

Y dR = −1/2 + 1/6 = −1/3 Y eR = −1/2 − 1/2 = −1 Y νR = 1/2 − 1/2 = 0 H45 coupling to second generation → ms/mµ = 1/3

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Yukawa superpotential

Leading order terms ¯i ¯j c PY ∼ (φ3ψi )(φ3ψj )H

¯i ¯j c +(φ23ψi )(φ23ψj )HH45

¯i ¯j c +(φ23ψi )(φ123ψj )H ¯i ¯j c +(φ123ψi )(φ23ψj )H

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Yukawa superpotential

Leading order terms ¯i ¯j c PY ∼ (φ3ψi )(φ3ψj )H

¯i ¯j c +(φ23ψi )(φ23ψj )HH45

¯i ¯j c +(φ23ψi )(φ123ψj )H ¯i ¯j c +(φ123ψi )(φ23ψj )H

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Yukawa superpotential

Leading order terms ¯i ¯j c PY ∼ (φ3ψi )(φ3ψj )H

¯i ¯j c +(φ23ψi )(φ23ψj )HH45

¯i ¯j c +(φ23ψi )(φ123ψj )H ¯i ¯j c +(φ123ψi )(φ23ψj )H

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Mass matrices 1

Term by term ¯i ¯j c PY ∼ (φ3ψi )(φ3ψj )H

Respective Dirac mass matrix  0 0 0  f M = mf  0 0 0  0 0 1

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Mass matrices 2

Term by term ¯i ¯j c +(φ23ψi )(φ23ψj )HH45

Respective Dirac mass matrix  0 0 0  f f 2 f 2 M = mf  0 Y  −Y   0 −Y f 2 1 + Y f 2

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Mass matrices 3

Term by term ¯i ¯j c +(φ23ψi )(φ123ψj )H

Respective Dirac mass matrix  0 0 0  f 3 f 2 3 f 2 3 M = mf   Y  +  −Y  +   −3 −Y f 2 − 3 1 + Y f 2 − 3 And so on...

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Unwanted terms?

(Not) spoiling the Yukawa terms ¯i ¯j c Pspoil ∼ (φ3ψi )(φ23ψj )H

Hierarchy spoiled Terms like these must be forbidden by added symmetry

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Added symmetry (reduced)

Field U(1) ψ 0 ψc 0 H 0 H45 2 ¯ φ3 0 ¯ φ23 −1 ¯ φ123 1

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Seesaw and SD revisited

M1 < M2  M3

   −1    b1 c1 . M1 0 0 b1 b2 b3 −1 mν =  b2 c2 .   0 M2 0   c1 c2 c3  b c . −1 ... 3 3 0 0 M3

Wanted ν Dirac matrix     b1 c1 . 0 c . ν MD =  b2 c2 .  ∝  b c .  b3 c3 . −b c .

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Effective Lagrangian

Vevs reminder Effective terms ¯ hφ23i ∝ (0, 1, −1) ¯i ¯j Pν ∼ λ3(φ23νi )(φ23νj ) → @ hφ¯ i ∝ (1, 1, 1) ¯i ¯j 123 +λ2(φ123νi )(φ123νj ) → Enforced by effective symmetry: ¯ ¯ φ23 → −φ23 ¯ ¯ φ123 → φ123

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Getting the effective terms

Leading order terms ¯i ¯j c PY ∼ (φ23νi )(φ123νj )H → @ ¯i ¯j c +(φ123νi )(φ23νj )H → ¯i ¯j c +(φ3νi )(φ3νj )H → decouple

¯ c ¯ c PM ∼ [(φ123ν )(φ123ν )](θφ123)(θφ123) → @ ¯ c ¯ c +[(φ23ν )(φ23ν )](θφ123)(θφ3) → +(θνc)(θνc) → decouple

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment More unwanted terms

(Not) spoiling the effective terms ¯i ¯j c Pspoil ∼ (φ3νi )(φ23νj )H

¯i ¯j → Pν ∼ (φ3νi )(φ3νj ) Need added effective symmetry e.g.: ¯ ¯ φ3 → iφ3 Again the additional symmetry must be used.

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment ∆(27) invariants

Transformation properties 0 Field Z3 Z3 φ1 φ1 φ3 φ2 αφ2 φ1 2 φ3 (α) φ3 φ2

¯i Allowed: all SU(3)f invariants (e.g. φAψi ) c Disallowed: some ∆(12) invariants (e.g. ψi ψi ) ¯i ¯i Allowed: higher order invariants (e.g. φ φi φ φi )

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment ∆(27) family symmetry

Why is it interesting?

small subgroup of SU(3)f distinct "triplets" and "anti-triplets" c forbids the "quadratic" invariant ψi ψi added invariants useful for vacuum alignment discrete family symmetries don’t have associated D-terms

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Breaking the symmetry

2 generation example 2 i † V ∼ −m (ϕ ϕi ) Symmetry is continuous, continuum of vacuum states No specified direction, just magnitude

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Alignment by soft terms example

2 generation example Symmetry is discrete, breaks the continuum of vacuum states 2 i † V ∼ −m (ϕ ϕi ) 2 i † i † ±m3/2(ϕ ϕi ϕ ϕi ) 4 4 Extrema of |ϕ1| + |ϕ2| with constraint of constant magnitude: Positive: ∝ (1, 1) → V ∼ +2v 4/4 Negative: ∝ (0, 1) → V ∼ −v 4

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment ¯ ¯ φ3 and φ123

Quartic term minimisation 2 i † V ∼ −m (ϕ ϕi ) 2 i † i † ±m3/2(ϕ ϕi ϕ ϕi ) ¯ ¯ For ϕ = φ123, positive coefficient yelds hφ123i ∝ (1, 1, 1) ¯ ¯ For ϕ = φ3, negative coefficient yelds hφ3i ∝ (0, 0, 1)

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Overview Introduction Mass terms ∆(27) model HPS tri-bi-maximal mixing Conclusion Vacuum alignment Relative alignment

¯ Aligning φ23 With SU(3) invariant higher order terms: ¯i Containing φ23φ123i with positive coupling ¯ Term keeping the vanishing component away from the φ3 direction ¯ → hφ23i ∝ (0, 1, −1)

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction ∆(27) model Mixing angles predicted Conclusion The predictions

Mixing angles values PMNS angles measured experimentally 2 1 0.052 s12 ≈ 3 ±0.048 2 s12 = 0.30 ± 0.08 s2 ≈ 1 ±0.061 23 2 0.058 s2 = 0.50 ± 0.18 2 23 s13 ≈ 0.0028 2 s13 < 0.047

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction ∆(27) model Mixing angles predicted Conclusion The predictions

Mixing angles values PMNS angles measured experimentally 2 1 0.052 s12 ≈ 3 ±0.048 2 s12 = 0.30 ± 0.08 s2 ≈ 1 ±0.061 23 2 0.058 s2 = 0.50 ± 0.18 2 23 s13 ≈ 0.0028 2 s13 < 0.047

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction ∆(27) model Mixing angles predicted Conclusion Summary

∆(27) family symmetry The model is viable and unifiable. Seesaw mechanism and alignment of vevs play key roles.

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings Introduction ∆(27) model Mixing angles predicted Conclusion Summary

∆(27) family symmetry The model is viable and unifiable. Seesaw mechanism and alignment of vevs play key roles.

Ivo de Medeiros Varzielas Family symmetries and fermion masses/mixings