SlideShare a Scribd company logo
1 of 22
Download to read offline
SU(3)-symmetric sum rules for
B ->PP decays
Jordi París López
MASTER THESIS
SUPERVISOR: Rafel Escribano
Why do we look for Sum Rules?
• Check validity of the Standard Model
• Find deviations to the model
▫ Symmetry violation
▫ Sign of New Physics
• Give predictions for observables
𝑖
𝐶𝑖 𝑂𝑖 = 0
𝑂𝑖 =
𝑅𝑖 − 𝐴𝑣𝑒𝑟𝑎𝑔𝑒𝑑
𝐵𝑟𝑎𝑛𝑐ℎ𝑖𝑛𝑔 𝑅𝑎𝑡𝑖𝑜𝑠
𝑅𝑖 𝐴 𝐶𝑃 𝑖 − 𝐶𝑃 𝐴𝑠𝑦𝑚𝑚𝑒𝑡𝑟𝑖𝑒𝑠
How do we obtain the Sum Rules?
𝑅𝑖 =
𝐵𝑅𝑖 + 𝐵𝑅𝑖
2
𝐴𝑖
𝐶𝑃
=
𝐵𝑅𝑖 − 𝐵𝑅𝑖
𝐵𝑅𝑖 + 𝐵𝑅𝑖
The observables are proportional to the
amplitude squared:
SUM
RULES
AMPLITUDES
SQUARED
AMPLITUDESEFFECTIVE
HAMILTONIAN
Building the Effective Hamiltonian
• Initial states:
𝐵3 = 𝐵+(𝑢 𝑏), 𝐵 𝑜(𝑑 𝑏), 𝐵𝑠
0 (𝑠 𝑏)
• Final states: mesons made of (u,d,s) and ( 𝑢, 𝑑, 𝑠)
𝑃9 =
−
𝜋0
2
−
𝜂0
3
−
𝜂8
6
𝜋+
𝐾+
−𝜋−
𝜋0
2
−
𝜂0
3
−
𝜂8
6
𝐾0
−𝐾−
𝐾0 −
𝜂0
3
+
2
3
𝜂8
Building the Effective Hamiltonian
• Shape of the Hamiltonian
ℋ𝑒𝑓𝑓 = 𝐶 𝑖𝑗𝑘 𝐵3
(𝑖)
𝑃9
(𝑗)
𝑃9
(𝑘)
▫ 𝐶 𝑖𝑗𝑘
depends on 𝑉𝐶𝐾𝑀
• Use of SU(3) group theory to rewrite the
Hamiltonian
Building the Effective Hamiltonian
SU(3) decomposition
▫ 𝑞𝑞 𝑞 ⟶ 3 ⊗ 3 ⊗ 3 = 15 ⊕ 6 ⊕ 3 ⊕ 3
Tensorial definition
𝐻6 =
0 0 0
𝜆 𝑞
𝑑
0 0
𝜆 𝑞
𝑠
0 0
,
𝜆 𝑞
𝑑
0 0
0 0 0
0 −𝜆 𝑞
𝑠
𝜆 𝑞
𝑠
,
−𝜆 𝑞
𝑠
0 0
0 𝜆 𝑞
𝑑
−𝜆 𝑞
𝑑
0 0 0
𝐻15 =
0 0 0
3𝜆 𝑞
𝑑 0 0
3𝜆 𝑞
𝑠
0 0
,
3𝜆 𝑞
𝑑 0 0
0 −2𝜆 𝑞
𝑑
0
0 −𝜆 𝑞
𝑠 𝜆 𝑞
𝑑
,
3𝜆 𝑞
𝑠 0 0
0 −𝜆 𝑞
𝑠
−𝜆 𝑞
𝑑
0 0 −2𝜆 𝑞
𝑠
𝐻3 = 0, 𝜆 𝑞
𝑑
, 𝜆 𝑞
𝑠
𝜆 𝑞
𝑞′
= 𝑉𝑞𝑏
∗
𝑉𝑞𝑞′ , q=(u,c)
Building the Effective Hamiltonian
Final form:
▫ ℋ𝑒𝑓𝑓
(8)
= 𝐴3 𝐵𝑖 𝐻3
𝑖
𝑃9 𝑘
𝑗
𝑃9 𝑗
𝑘
+ 𝐶3 𝐵𝑖 𝑃9 𝑗
𝑖
𝑃9 𝑘
𝑗
𝐻3
𝑘
+
+ 𝐴6 𝐵𝑖 𝐻6 𝑘
𝑖𝑗
𝑃9 𝑗
𝑙
𝑃9 𝑙
𝑘
+ 𝐶6 𝐵𝑖 𝑃9 𝑗
𝑖
𝐻6 𝑙
𝑗𝑘
𝑃9 𝑘
𝑙
+
+ 𝐴15 𝐵𝑖 𝐻15𝑘
𝑖𝑗
𝑃9 𝑗
𝑙
𝑃9 𝑙
𝑘
+ 𝐶15 𝐵𝑖 𝑃9 𝑗
𝑖
𝐻15 𝑙
𝑗𝑘
𝑃9 𝑘
𝑙
▫ ℋ𝑒𝑓𝑓
(1)
= 𝐸3 𝐵𝑖 𝑃9 𝑗
𝑖
𝐻3
𝑗
𝑃9𝑘
𝑘
+ 𝐷3 𝐵𝑖 𝐻3𝑗
𝑖
𝑃9 𝑗
𝑗
𝑃9 𝑘
𝑘
+
+ 𝐷6 𝐵𝑖 𝐻6 𝑘
𝑖𝑗
𝑃9 𝑗
𝑘
𝑃9 𝑙
𝑙
+ 𝐷15 𝐵𝑖 𝐻15 𝑘
𝑖𝑗
𝑃9 𝑗
𝑘
𝑃9 𝑙
𝑙
ℋ𝑒𝑓𝑓 = ℋ𝑒𝑓𝑓
(8)
+ ℋ𝑒𝑓𝑓
(1)
+ ℎ. 𝑐.
Finding the Amplitudes
In general the process 𝐵3
𝑖
𝑃9
𝑗
𝑃9
𝑘
appear in the
Hamiltonian following
Therefore:
They are complex numbers, so
𝐵3
𝑖
𝑃9
𝑗
𝑃9
𝑘
𝜆 𝑞
𝑞′
( 𝑓 𝐴3 + 𝑔 𝐴6 + ℎ 𝐴15 + ⋯ )
𝐴𝑚𝑝𝑙𝑖𝑡𝑢𝑑𝑒 2
= |𝜆 𝑞
𝑞′
|2
· ( 𝐹 𝐴3 2
+ 𝐺 𝐴6 2
+
+𝐻 𝑅𝑒(𝐴3 · 𝐴6∗
) + ⋯ )
𝐴𝑚𝑝𝑙𝑖𝑡𝑢𝑑𝑒 ∝ 𝜆 𝑞
𝑞′
( 𝑓 𝐴3 + 𝑔 𝐴6 + ℎ 𝐴15 + ⋯ )
Finding the Amplitudes
Split processes by ∆𝑆 = 0 𝜆 𝑞
𝑑
and ∆𝑆 = 1 𝜆 𝑞
𝑠
:
The processes cannot depend on their origin of SU(3).
One can fix the coefficients 𝐶𝑖 by solving the ℱ = 0, 𝑒𝑡𝑐.
ISSUE: 55 equations vs ≈30 processes:
overdetermined system
𝑖
𝐶𝑖 𝐵𝑅𝑖 =
𝑖
𝐶𝑖( 𝐹𝑖 𝐴3 2
+ 𝐺𝑖 𝐴6 2
+ ⋯ ) =
= 𝐴3 2
ℱ 𝑐1, … , 𝑐 𝑛 + 𝐴6 2
ℊ 𝑐1, … , 𝑐 𝑛 + ⋯ = 0
NEEDS
SIMPLIFICATION
Rewriting the Hamiltonian
One can use the knowledge of Feynman diagrams to
rewrite the Hamiltonian into a diagramatic approach:
C3,C6,C15,... terms are expressed in terms of the
diagramatic “basis”
Rewriting the Hamiltonian
Experimental data shows that E, A, PA, TS, CS and PS
contributions are negligible in front of T, C, P, S.
Amplitudes are written only as f(T,C,P,S), .e.g.
Amplitudes squared will now have up to 10 terms
The system of equations of the sum rules can be determined
now.
𝐴𝑚𝑝𝑙𝑖𝑡𝑢𝑑𝑒 𝐵+
→ 𝐾+
𝜋0
= −𝜆 𝑞
𝑠
𝐶 + 𝑃 + 𝑇
2
𝑇 2
, 𝐶 2
, 𝑃 2
, 𝑆 2
, 𝑅𝑒 𝑇𝐶∗
, 𝑅𝑒 𝑇𝑃∗
,
𝑅𝑒 𝑇𝑆∗
, 𝑅𝑒 𝐶𝑃∗
, 𝑅𝑒 𝐶𝑆∗
, 𝑅𝑒 𝑃𝑆∗
SUM RULES Δ𝑆 = 0
Amplitudes of the processes in terms of 𝜆 𝑞
𝑑
:
SUM RULES Δ𝑆 = 0
There are 11 independent amplitudes.
However, we are not considering the physical
states. We’ll consider the states 𝜂 and 𝜂′ so that we
can use the sum rules with tabulated data:
𝜂8
𝜂0
=
− cos 𝜃 − sin 𝜃
sin 𝜃 − cos 𝜃
𝜂
𝜂′
SUM RULES Δ𝑆 = 0
SUM RULES Δ𝑆 = 0
Amplitudes of the processes in terms of 𝜆 𝑞
𝑑
:
SUM RULES Δ𝑆 = 0
The sum rules become:
There are 11 constants for 10 equations: 1 coefficient
must be sent to 0.
𝑖
𝐶𝑖 𝐵𝑅𝑖 =
𝑖
11
𝐶𝑖( 𝐹𝑖 𝑇 2
+ 𝐺𝑖 𝐶 2
+ ⋯ ) =
= 𝑇 2
ℱ 𝑐1, … , 𝑐11 + 𝐶 2
ℊ 𝑐1, … , 𝑐11 + ⋯ = 0
SUM RULES Δ𝑆 = 0
Solving for every possible combination there are 3
independent sum rules. In general, they are functions
of the mixing angle.
Three of them are, in the limit 𝜃 = sin−1
−
1
3
:
• Build new secondary sum rules using common terms:
• Check sum rules‘ zeros ⟹ 𝑆𝑈 3 symmetry check
Using experimental data with the mixing angle 𝜃 = −14º for a
secondary sum rule:
Possibilities with the Sum Rules
• Prediction of a missing observable solving the sum rule:
Using some experimental data:
• Prediction of tw0 missing observables:
In a hypothetical case:
Leading to a region plot.
Possibilities with the Sum Rules
𝑅 𝐵𝑠
0→𝜂𝐾0 = 1,1739 ± 0,1287 ⋅ 10−6
Possibilities with the Sum Rules
CONCLUSIONS
• One cannot build Sum Rules considering the known
processes: an approximation must be made.
• The sum rules allow to give predictions to some
observables up to corrections in an almost
symmetric SU(3) world.
• There is not enough experimental data of 𝐵 decays
available to check the sum rules: in the following
years sum rules should start playing relevant roles.
What now?
• We must consider known SU(3) symmetry breaking
contributions.
▫ The diagrammatic approach changes and so do the
amplitudes.
▫ The sum rules will get corrections.
▫ Deviations from the SU(3) broken symmetry results
could be regarded as signs of New Physics…

More Related Content

What's hot

Section 1-4 -- Trapezoid Rule
Section 1-4 -- Trapezoid RuleSection 1-4 -- Trapezoid Rule
Section 1-4 -- Trapezoid Rulechrismac47
 
Lesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle TrigonometryLesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle TrigonometryKevin Johnson
 
Geometry - Equilateral triangle and circle
Geometry - Equilateral triangle and circleGeometry - Equilateral triangle and circle
Geometry - Equilateral triangle and circle2IIM
 
Trigonometry - Trigonometric Identities
Trigonometry - Trigonometric IdentitiesTrigonometry - Trigonometric Identities
Trigonometry - Trigonometric IdentitiesJosefMikaeldelCorro
 
Lesson 5 4
Lesson 5 4Lesson 5 4
Lesson 5 4mgadia
 
Triangle inequality (sides)
Triangle inequality (sides)Triangle inequality (sides)
Triangle inequality (sides)jmui
 
Right triangle trigonometry
Right triangle trigonometryRight triangle trigonometry
Right triangle trigonometryRamesh Kumar
 
Core 3 Simpsons Rule
Core 3 Simpsons RuleCore 3 Simpsons Rule
Core 3 Simpsons Ruledavidmiles100
 
Day 5 examples u2w14
Day 5 examples u2w14Day 5 examples u2w14
Day 5 examples u2w14jchartiersjsd
 

What's hot (20)

Section 1-4 -- Trapezoid Rule
Section 1-4 -- Trapezoid RuleSection 1-4 -- Trapezoid Rule
Section 1-4 -- Trapezoid Rule
 
Lesson 3 simpsons rule
Lesson 3 simpsons ruleLesson 3 simpsons rule
Lesson 3 simpsons rule
 
Pi
PiPi
Pi
 
Journal 4
Journal 4Journal 4
Journal 4
 
Evidence for Pi
Evidence for PiEvidence for Pi
Evidence for Pi
 
Lesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle TrigonometryLesson 12: Right Triangle Trigonometry
Lesson 12: Right Triangle Trigonometry
 
21 simpson's rule
21 simpson's rule21 simpson's rule
21 simpson's rule
 
Day 4 examples
Day 4 examplesDay 4 examples
Day 4 examples
 
Geometry - Equilateral triangle and circle
Geometry - Equilateral triangle and circleGeometry - Equilateral triangle and circle
Geometry - Equilateral triangle and circle
 
Trigonometry - Trigonometric Identities
Trigonometry - Trigonometric IdentitiesTrigonometry - Trigonometric Identities
Trigonometry - Trigonometric Identities
 
Day 6 examples
Day 6 examplesDay 6 examples
Day 6 examples
 
Trigonometry 1
Trigonometry 1Trigonometry 1
Trigonometry 1
 
Calc 4.6
Calc 4.6Calc 4.6
Calc 4.6
 
Funciones Trigonometricas
Funciones TrigonometricasFunciones Trigonometricas
Funciones Trigonometricas
 
Lesson 5 4
Lesson 5 4Lesson 5 4
Lesson 5 4
 
Trapezoidal rule
Trapezoidal ruleTrapezoidal rule
Trapezoidal rule
 
Triangle inequality (sides)
Triangle inequality (sides)Triangle inequality (sides)
Triangle inequality (sides)
 
Right triangle trigonometry
Right triangle trigonometryRight triangle trigonometry
Right triangle trigonometry
 
Core 3 Simpsons Rule
Core 3 Simpsons RuleCore 3 Simpsons Rule
Core 3 Simpsons Rule
 
Day 5 examples u2w14
Day 5 examples u2w14Day 5 examples u2w14
Day 5 examples u2w14
 

Similar to Master thesis presentation

Overviewing the techniques of Numerical Integration.pdf
Overviewing the techniques of Numerical Integration.pdfOverviewing the techniques of Numerical Integration.pdf
Overviewing the techniques of Numerical Integration.pdfArijitDhali
 
Efficient Accuracy: A Study on Numerical Integration.
Efficient Accuracy: A Study on Numerical Integration. Efficient Accuracy: A Study on Numerical Integration.
Efficient Accuracy: A Study on Numerical Integration. ShaifulIslam56
 
A non local linear dynamical system and violation of Bell’s inequality.
A non local linear dynamical system and violation of Bell’s inequality.A non local linear dynamical system and violation of Bell’s inequality.
A non local linear dynamical system and violation of Bell’s inequality.Fausto Intilla
 
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anova
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anovaSolution to the practice test ch 10 correlation reg ch 11 gof ch12 anova
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anovaLong Beach City College
 
Dimensional analysis - Part 1
Dimensional analysis - Part 1 Dimensional analysis - Part 1
Dimensional analysis - Part 1 Ramesh B R
 
Numerical Analysis and Its application to Boundary Value Problems
Numerical Analysis and Its application to Boundary Value ProblemsNumerical Analysis and Its application to Boundary Value Problems
Numerical Analysis and Its application to Boundary Value ProblemsGobinda Debnath
 
Intro to Quant Trading Strategies (Lecture 6 of 10)
Intro to Quant Trading Strategies (Lecture 6 of 10)Intro to Quant Trading Strategies (Lecture 6 of 10)
Intro to Quant Trading Strategies (Lecture 6 of 10)Adrian Aley
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...mathsjournal
 
Regional gradient optimal control problem governed by a distributed bilinear ...
Regional gradient optimal control problem governed by a distributed bilinear ...Regional gradient optimal control problem governed by a distributed bilinear ...
Regional gradient optimal control problem governed by a distributed bilinear ...TELKOMNIKA JOURNAL
 
Contéo de figuras
Contéo de figurasContéo de figuras
Contéo de figurasJesusBuelna2
 
Intro. to computational Physics ch2.pdf
Intro. to computational Physics ch2.pdfIntro. to computational Physics ch2.pdf
Intro. to computational Physics ch2.pdfJifarRaya
 
Fortran chapter 2.pdf
Fortran chapter 2.pdfFortran chapter 2.pdf
Fortran chapter 2.pdfJifarRaya
 
Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...
Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...
Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...KyungKoh2
 
Schwarzchild solution derivation
Schwarzchild solution derivationSchwarzchild solution derivation
Schwarzchild solution derivationHassaan Saleem
 
2 borgs
2 borgs2 borgs
2 borgsYandex
 
Lesson 1: The Real Number System
Lesson 1: The Real Number SystemLesson 1: The Real Number System
Lesson 1: The Real Number SystemKevin Johnson
 
Lane_emden_equation_solved_by_HPM_final
Lane_emden_equation_solved_by_HPM_finalLane_emden_equation_solved_by_HPM_final
Lane_emden_equation_solved_by_HPM_finalSOUMYADAS230727
 

Similar to Master thesis presentation (20)

Overviewing the techniques of Numerical Integration.pdf
Overviewing the techniques of Numerical Integration.pdfOverviewing the techniques of Numerical Integration.pdf
Overviewing the techniques of Numerical Integration.pdf
 
Efficient Accuracy: A Study on Numerical Integration.
Efficient Accuracy: A Study on Numerical Integration. Efficient Accuracy: A Study on Numerical Integration.
Efficient Accuracy: A Study on Numerical Integration.
 
A non local linear dynamical system and violation of Bell’s inequality.
A non local linear dynamical system and violation of Bell’s inequality.A non local linear dynamical system and violation of Bell’s inequality.
A non local linear dynamical system and violation of Bell’s inequality.
 
Regression.pptx
Regression.pptxRegression.pptx
Regression.pptx
 
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anova
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anovaSolution to the practice test ch 10 correlation reg ch 11 gof ch12 anova
Solution to the practice test ch 10 correlation reg ch 11 gof ch12 anova
 
A0280106
A0280106A0280106
A0280106
 
Dimensional analysis - Part 1
Dimensional analysis - Part 1 Dimensional analysis - Part 1
Dimensional analysis - Part 1
 
Numerical Analysis and Its application to Boundary Value Problems
Numerical Analysis and Its application to Boundary Value ProblemsNumerical Analysis and Its application to Boundary Value Problems
Numerical Analysis and Its application to Boundary Value Problems
 
Intro to Quant Trading Strategies (Lecture 6 of 10)
Intro to Quant Trading Strategies (Lecture 6 of 10)Intro to Quant Trading Strategies (Lecture 6 of 10)
Intro to Quant Trading Strategies (Lecture 6 of 10)
 
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
A Probabilistic Algorithm for Computation of Polynomial Greatest Common with ...
 
Regional gradient optimal control problem governed by a distributed bilinear ...
Regional gradient optimal control problem governed by a distributed bilinear ...Regional gradient optimal control problem governed by a distributed bilinear ...
Regional gradient optimal control problem governed by a distributed bilinear ...
 
Contéo de figuras
Contéo de figurasContéo de figuras
Contéo de figuras
 
Perturbation
PerturbationPerturbation
Perturbation
 
Intro. to computational Physics ch2.pdf
Intro. to computational Physics ch2.pdfIntro. to computational Physics ch2.pdf
Intro. to computational Physics ch2.pdf
 
Fortran chapter 2.pdf
Fortran chapter 2.pdfFortran chapter 2.pdf
Fortran chapter 2.pdf
 
Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...
Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...
Review of Trigonometry for Calculus “Trigon” =triangle +“metry”=measurement =...
 
Schwarzchild solution derivation
Schwarzchild solution derivationSchwarzchild solution derivation
Schwarzchild solution derivation
 
2 borgs
2 borgs2 borgs
2 borgs
 
Lesson 1: The Real Number System
Lesson 1: The Real Number SystemLesson 1: The Real Number System
Lesson 1: The Real Number System
 
Lane_emden_equation_solved_by_HPM_final
Lane_emden_equation_solved_by_HPM_finalLane_emden_equation_solved_by_HPM_final
Lane_emden_equation_solved_by_HPM_final
 

Recently uploaded

Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhousejana861314
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Nistarini College, Purulia (W.B) India
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsSumit Kumar yadav
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPirithiRaju
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfSumit Kumar yadav
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfSumit Kumar yadav
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfSumit Kumar yadav
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)PraveenaKalaiselvan1
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bSérgio Sacani
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Lokesh Kothari
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real timeSatoshi NAKAHIRA
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsSérgio Sacani
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Patrick Diehl
 

Recently uploaded (20)

Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
Orientation, design and principles of polyhouse
Orientation, design and principles of polyhouseOrientation, design and principles of polyhouse
Orientation, design and principles of polyhouse
 
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
9953056974 Young Call Girls In Mahavir enclave Indian Quality Escort service
 
Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...Bentham & Hooker's Classification. along with the merits and demerits of the ...
Bentham & Hooker's Classification. along with the merits and demerits of the ...
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questions
 
The Philosophy of Science
The Philosophy of ScienceThe Philosophy of Science
The Philosophy of Science
 
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdfPests of cotton_Sucking_Pests_Dr.UPR.pdf
Pests of cotton_Sucking_Pests_Dr.UPR.pdf
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
Botany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdfBotany 4th semester series (krishna).pdf
Botany 4th semester series (krishna).pdf
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdf
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdf
 
Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)Recombinant DNA technology (Immunological screening)
Recombinant DNA technology (Immunological screening)
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
Grafana in space: Monitoring Japan's SLIM moon lander in real time
Grafana in space: Monitoring Japan's SLIM moon lander  in real timeGrafana in space: Monitoring Japan's SLIM moon lander  in real time
Grafana in space: Monitoring Japan's SLIM moon lander in real time
 
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroidsHubble Asteroid Hunter III. Physical properties of newly found asteroids
Hubble Asteroid Hunter III. Physical properties of newly found asteroids
 
Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?Is RISC-V ready for HPC workload? Maybe?
Is RISC-V ready for HPC workload? Maybe?
 

Master thesis presentation

  • 1. SU(3)-symmetric sum rules for B ->PP decays Jordi París López MASTER THESIS SUPERVISOR: Rafel Escribano
  • 2. Why do we look for Sum Rules? • Check validity of the Standard Model • Find deviations to the model ▫ Symmetry violation ▫ Sign of New Physics • Give predictions for observables 𝑖 𝐶𝑖 𝑂𝑖 = 0 𝑂𝑖 = 𝑅𝑖 − 𝐴𝑣𝑒𝑟𝑎𝑔𝑒𝑑 𝐵𝑟𝑎𝑛𝑐ℎ𝑖𝑛𝑔 𝑅𝑎𝑡𝑖𝑜𝑠 𝑅𝑖 𝐴 𝐶𝑃 𝑖 − 𝐶𝑃 𝐴𝑠𝑦𝑚𝑚𝑒𝑡𝑟𝑖𝑒𝑠
  • 3. How do we obtain the Sum Rules? 𝑅𝑖 = 𝐵𝑅𝑖 + 𝐵𝑅𝑖 2 𝐴𝑖 𝐶𝑃 = 𝐵𝑅𝑖 − 𝐵𝑅𝑖 𝐵𝑅𝑖 + 𝐵𝑅𝑖 The observables are proportional to the amplitude squared: SUM RULES AMPLITUDES SQUARED AMPLITUDESEFFECTIVE HAMILTONIAN
  • 4. Building the Effective Hamiltonian • Initial states: 𝐵3 = 𝐵+(𝑢 𝑏), 𝐵 𝑜(𝑑 𝑏), 𝐵𝑠 0 (𝑠 𝑏) • Final states: mesons made of (u,d,s) and ( 𝑢, 𝑑, 𝑠) 𝑃9 = − 𝜋0 2 − 𝜂0 3 − 𝜂8 6 𝜋+ 𝐾+ −𝜋− 𝜋0 2 − 𝜂0 3 − 𝜂8 6 𝐾0 −𝐾− 𝐾0 − 𝜂0 3 + 2 3 𝜂8
  • 5. Building the Effective Hamiltonian • Shape of the Hamiltonian ℋ𝑒𝑓𝑓 = 𝐶 𝑖𝑗𝑘 𝐵3 (𝑖) 𝑃9 (𝑗) 𝑃9 (𝑘) ▫ 𝐶 𝑖𝑗𝑘 depends on 𝑉𝐶𝐾𝑀 • Use of SU(3) group theory to rewrite the Hamiltonian
  • 6. Building the Effective Hamiltonian SU(3) decomposition ▫ 𝑞𝑞 𝑞 ⟶ 3 ⊗ 3 ⊗ 3 = 15 ⊕ 6 ⊕ 3 ⊕ 3 Tensorial definition 𝐻6 = 0 0 0 𝜆 𝑞 𝑑 0 0 𝜆 𝑞 𝑠 0 0 , 𝜆 𝑞 𝑑 0 0 0 0 0 0 −𝜆 𝑞 𝑠 𝜆 𝑞 𝑠 , −𝜆 𝑞 𝑠 0 0 0 𝜆 𝑞 𝑑 −𝜆 𝑞 𝑑 0 0 0 𝐻15 = 0 0 0 3𝜆 𝑞 𝑑 0 0 3𝜆 𝑞 𝑠 0 0 , 3𝜆 𝑞 𝑑 0 0 0 −2𝜆 𝑞 𝑑 0 0 −𝜆 𝑞 𝑠 𝜆 𝑞 𝑑 , 3𝜆 𝑞 𝑠 0 0 0 −𝜆 𝑞 𝑠 −𝜆 𝑞 𝑑 0 0 −2𝜆 𝑞 𝑠 𝐻3 = 0, 𝜆 𝑞 𝑑 , 𝜆 𝑞 𝑠 𝜆 𝑞 𝑞′ = 𝑉𝑞𝑏 ∗ 𝑉𝑞𝑞′ , q=(u,c)
  • 7. Building the Effective Hamiltonian Final form: ▫ ℋ𝑒𝑓𝑓 (8) = 𝐴3 𝐵𝑖 𝐻3 𝑖 𝑃9 𝑘 𝑗 𝑃9 𝑗 𝑘 + 𝐶3 𝐵𝑖 𝑃9 𝑗 𝑖 𝑃9 𝑘 𝑗 𝐻3 𝑘 + + 𝐴6 𝐵𝑖 𝐻6 𝑘 𝑖𝑗 𝑃9 𝑗 𝑙 𝑃9 𝑙 𝑘 + 𝐶6 𝐵𝑖 𝑃9 𝑗 𝑖 𝐻6 𝑙 𝑗𝑘 𝑃9 𝑘 𝑙 + + 𝐴15 𝐵𝑖 𝐻15𝑘 𝑖𝑗 𝑃9 𝑗 𝑙 𝑃9 𝑙 𝑘 + 𝐶15 𝐵𝑖 𝑃9 𝑗 𝑖 𝐻15 𝑙 𝑗𝑘 𝑃9 𝑘 𝑙 ▫ ℋ𝑒𝑓𝑓 (1) = 𝐸3 𝐵𝑖 𝑃9 𝑗 𝑖 𝐻3 𝑗 𝑃9𝑘 𝑘 + 𝐷3 𝐵𝑖 𝐻3𝑗 𝑖 𝑃9 𝑗 𝑗 𝑃9 𝑘 𝑘 + + 𝐷6 𝐵𝑖 𝐻6 𝑘 𝑖𝑗 𝑃9 𝑗 𝑘 𝑃9 𝑙 𝑙 + 𝐷15 𝐵𝑖 𝐻15 𝑘 𝑖𝑗 𝑃9 𝑗 𝑘 𝑃9 𝑙 𝑙 ℋ𝑒𝑓𝑓 = ℋ𝑒𝑓𝑓 (8) + ℋ𝑒𝑓𝑓 (1) + ℎ. 𝑐.
  • 8. Finding the Amplitudes In general the process 𝐵3 𝑖 𝑃9 𝑗 𝑃9 𝑘 appear in the Hamiltonian following Therefore: They are complex numbers, so 𝐵3 𝑖 𝑃9 𝑗 𝑃9 𝑘 𝜆 𝑞 𝑞′ ( 𝑓 𝐴3 + 𝑔 𝐴6 + ℎ 𝐴15 + ⋯ ) 𝐴𝑚𝑝𝑙𝑖𝑡𝑢𝑑𝑒 2 = |𝜆 𝑞 𝑞′ |2 · ( 𝐹 𝐴3 2 + 𝐺 𝐴6 2 + +𝐻 𝑅𝑒(𝐴3 · 𝐴6∗ ) + ⋯ ) 𝐴𝑚𝑝𝑙𝑖𝑡𝑢𝑑𝑒 ∝ 𝜆 𝑞 𝑞′ ( 𝑓 𝐴3 + 𝑔 𝐴6 + ℎ 𝐴15 + ⋯ )
  • 9. Finding the Amplitudes Split processes by ∆𝑆 = 0 𝜆 𝑞 𝑑 and ∆𝑆 = 1 𝜆 𝑞 𝑠 : The processes cannot depend on their origin of SU(3). One can fix the coefficients 𝐶𝑖 by solving the ℱ = 0, 𝑒𝑡𝑐. ISSUE: 55 equations vs ≈30 processes: overdetermined system 𝑖 𝐶𝑖 𝐵𝑅𝑖 = 𝑖 𝐶𝑖( 𝐹𝑖 𝐴3 2 + 𝐺𝑖 𝐴6 2 + ⋯ ) = = 𝐴3 2 ℱ 𝑐1, … , 𝑐 𝑛 + 𝐴6 2 ℊ 𝑐1, … , 𝑐 𝑛 + ⋯ = 0 NEEDS SIMPLIFICATION
  • 10. Rewriting the Hamiltonian One can use the knowledge of Feynman diagrams to rewrite the Hamiltonian into a diagramatic approach: C3,C6,C15,... terms are expressed in terms of the diagramatic “basis”
  • 11. Rewriting the Hamiltonian Experimental data shows that E, A, PA, TS, CS and PS contributions are negligible in front of T, C, P, S. Amplitudes are written only as f(T,C,P,S), .e.g. Amplitudes squared will now have up to 10 terms The system of equations of the sum rules can be determined now. 𝐴𝑚𝑝𝑙𝑖𝑡𝑢𝑑𝑒 𝐵+ → 𝐾+ 𝜋0 = −𝜆 𝑞 𝑠 𝐶 + 𝑃 + 𝑇 2 𝑇 2 , 𝐶 2 , 𝑃 2 , 𝑆 2 , 𝑅𝑒 𝑇𝐶∗ , 𝑅𝑒 𝑇𝑃∗ , 𝑅𝑒 𝑇𝑆∗ , 𝑅𝑒 𝐶𝑃∗ , 𝑅𝑒 𝐶𝑆∗ , 𝑅𝑒 𝑃𝑆∗
  • 12. SUM RULES Δ𝑆 = 0 Amplitudes of the processes in terms of 𝜆 𝑞 𝑑 :
  • 13. SUM RULES Δ𝑆 = 0 There are 11 independent amplitudes. However, we are not considering the physical states. We’ll consider the states 𝜂 and 𝜂′ so that we can use the sum rules with tabulated data: 𝜂8 𝜂0 = − cos 𝜃 − sin 𝜃 sin 𝜃 − cos 𝜃 𝜂 𝜂′
  • 15. SUM RULES Δ𝑆 = 0 Amplitudes of the processes in terms of 𝜆 𝑞 𝑑 :
  • 16. SUM RULES Δ𝑆 = 0 The sum rules become: There are 11 constants for 10 equations: 1 coefficient must be sent to 0. 𝑖 𝐶𝑖 𝐵𝑅𝑖 = 𝑖 11 𝐶𝑖( 𝐹𝑖 𝑇 2 + 𝐺𝑖 𝐶 2 + ⋯ ) = = 𝑇 2 ℱ 𝑐1, … , 𝑐11 + 𝐶 2 ℊ 𝑐1, … , 𝑐11 + ⋯ = 0
  • 17. SUM RULES Δ𝑆 = 0 Solving for every possible combination there are 3 independent sum rules. In general, they are functions of the mixing angle. Three of them are, in the limit 𝜃 = sin−1 − 1 3 :
  • 18. • Build new secondary sum rules using common terms: • Check sum rules‘ zeros ⟹ 𝑆𝑈 3 symmetry check Using experimental data with the mixing angle 𝜃 = −14º for a secondary sum rule: Possibilities with the Sum Rules
  • 19. • Prediction of a missing observable solving the sum rule: Using some experimental data: • Prediction of tw0 missing observables: In a hypothetical case: Leading to a region plot. Possibilities with the Sum Rules 𝑅 𝐵𝑠 0→𝜂𝐾0 = 1,1739 ± 0,1287 ⋅ 10−6
  • 21. CONCLUSIONS • One cannot build Sum Rules considering the known processes: an approximation must be made. • The sum rules allow to give predictions to some observables up to corrections in an almost symmetric SU(3) world. • There is not enough experimental data of 𝐵 decays available to check the sum rules: in the following years sum rules should start playing relevant roles.
  • 22. What now? • We must consider known SU(3) symmetry breaking contributions. ▫ The diagrammatic approach changes and so do the amplitudes. ▫ The sum rules will get corrections. ▫ Deviations from the SU(3) broken symmetry results could be regarded as signs of New Physics…