SlideShare ist ein Scribd-Unternehmen logo
1 von 33
Downloaden Sie, um offline zu lesen
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Systematic comparison between non-perturbative
functional methods in low-energy QCD models
Jordi Par´ıs L´opez
Advisors: R. Alkofer and H. Sanchis-Alepuz
Karl-Franzens-Universit¨at Graz, Austria
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 1 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Content
Motivation and thesis objectives.
Basics of the functional methods.
Results using the Functional Renormalisation Group (FRG).
Comparison between functional methods.
Summary.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 2 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Motivation and thesis objectives
Many features from QCD still not completely understood.
Bound states inherently non-perturbative.
Large couplings in QCD at hadronic energies.
Non-perturbative approaches required → Functional Methods.
No sign problem.
Wide range of scales.
Successful predictions in QCD: Observables, DχSB,...
Different truncations and approximations.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 3 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Functional methods treated:
Dyson-Schwinger–Bethe-Salpeter equations (DSE-BSE).
Functional Renormalisation Group (FRG).
Objectives
Obtain observables using the FRG in different approximations.
Compare both approaches in different low-energy QCD models.
Analyse viability of the methods: truncations, numerics, etc.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 4 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Basics of functional methods
Euclidean generating functional as starting point:
Z[J] = eW[J]
= Dφ e−S[φ]+ x Jφ
Effective Action Γ[φ] from W[J] Legendre transformation:
e−Γ[ϕ]
= Dφ exp −S[ϕ + φ] +
x
dΓ[ϕ]
dϕ
φ
with δΓ
δϕ ≡ J , ϕ ≡ δW[J]
δJ = φ J .
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 5 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
The effective action Γ[φ]:
Expressed as sum of 1PI Green’s functions.
Main object of interest in functional methods.
Calculation of Γ[φ] using functional equations:
DSE: coupled integral equations.
FRG: differential equations containing integrals.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 6 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
The Functional Renormalisation Group (FRG)1
Main functional: scale dependent 1-PI effective action: Γ[φ] → Γk[φ].
Scale introduced via regulator ∆Sk[φ].
Initial and final conditions are fixed in theory space:
Γk=Λ ≃ Sbare
Γk≃0 ≡ Γ
The choice of the regulator is not unique.
1
See, e.g., Gies, arXiv:hep-ph/0611146 for an introduction.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 7 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Using quadratic regulators ∆Sk[φ] = p φRkφ:
∂tΓk =
1
2
Tr ∂tRk Γ
(2)
k + Rk
−1
Wetterich’s Flow Equation
with t = ln k
Λ and ∂t = k∂k.
Euclidean non-perturbative 1-loop integral-differential equation.
Leads to non-perturbative flow equation for vertex functions:
−1
=∂t + + +
Truncation/approximation required.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 8 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Dynamical hadronisation
Convenient to work with macroscopic QCD degrees of freedom.
Mesons introduced from a 4-Fermi interaction via the
Hubbard-Stratonovich (HS) transformation.
Problem: non-zero 4-Fermi interaction flow ∂tλk
=⇒ HS transformation cancelled in every RG-step:
∂t = + . . .
Solved by dynamical hadronisation.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 9 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Introduction of scale dependent bosonic field:
∂tφk = ∂tAk( ¯ψτψ)
Wetterich’s flow equation modified =⇒ Additional term in ∂tλk:
∂tλk = Flow λk − hk∂tAk
!
= 0
Generalisation of HS transformation for every RG-step.
Green’s functions computed with meson exchange diagrams:
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 10 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Results using the FRG
Gluons decoupled at low energies2. Low-energy QCD effectively described
by fermionic NJL-like models. Mesons introduced via HS transformation.
Approximate effective action of the Quark Meson model:
Γk
¯ψ, ψ, σ, π = Γ
(int)
k,4ψ [ ¯ψ, ψ] +
p
Zk,ψ
¯ψ i/p ψ +
+
1
2
p2 Zk,σ σ2 + Zk,π π2 + Vk[σ, π] − cσ +
+
q
hk
¯ψ
σ
2
+ iγ5τzπz
ψ
2
Comparison to the full calculation, see A.Cyrol et al, arXiv:1605.01856.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 11 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Multi-meson interactions introduced via O(N) potential following:
Vk(ρ) =
∞
n=0
V
(n)
k
n!
(ρ − ρ0)n
with ρ = 1
2 σ2 + π2 and ρ0 scale independent expansion point.
Flow equations to solve:
Potential terms, ˙V
(i)
k with i = 0, ... , 8.
Wave function renormalisation, ˙Zk,i with i = σ, π, ψ.
4-Fermi coupling, ˙λk = Flow λk − hk
˙Ak ≡ 0.
Yukawa coupling, ˙hk = Flow hk − V
(1)
k
˙Ak.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 12 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Approximations used:
LPA: Scale-dependent potential, constant Yukawa coupling
hk(p2) = h, unit Zk,i(p2) = 1 and zero 4-Fermi coupling λk = 0.
LPA+Y: Yukawa coupling includes scale dependence.
LPA+Y’: Yukawa coupling includes scale and momentum
dependence.
Full: Scale and momentum-dependent wave function renormalisations
Zk,i(p2) are included.
Full+DH: Dynamical hadronisation taken into account.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 13 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
0.0 0.2 0.4 0.6 0.8 1.0
k (GeV)
0.5
1.0
1.5
2.0
2.5
¯mk(GeV)
Pion
Sigma Meson
LPA
LPA+Y
LPA+Y’
Full
Full+DH
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 14 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
0.0 0.2 0.4 0.6 0.8 1.0
k (GeV)
0.00
0.05
0.10
0.15
0.20
0.25
0.30
¯mk,ψ(GeV)
LPA
LPA+Y
LPA+Y’
Full
Full+DH
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 15 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75
p (GeV)
0.25
0.26
0.27
0.28
0.29
0.30
¯mIR,ψ(GeV)
LPA+Y’
Full
Full+DH
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 16 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5
p2
(GeV)
2
0
1
2
3
4
5
¯Γ
(2)
IR,φ(GeV)
2
Pion
Sigma Meson
Full
Full+DH
10−7
10−6
10−5
10−4
10−3
10−2
10−1
100
p2
(GeV)
2
0
10
20
30
40
50
¯Γ
(−2)
IR,φ(GeV)
−2
Pion
Sigma Meson
Full
Full+DH
−0.142 −0.140 −0.138 −0.136 −0.134 −0.132
p2 (GeV)
−30000
−20000
−10000
0
10000
20000
30000
¯Γ
(−2)
IR,π(GeV)
−2
Pad´e
Modified Pad´e
0.0 0.1 0.2 0.3 0.4 0.5 0.6
p0 (GeV)
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
ρ(GeV)
−2
Pion
Sigma Meson
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 17 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Applying analytic continuation to obtain pole masses and comparing with
curvature ”masses” (CM) mk,i we obtained:
Particle CM (Input) Pole Mass Decay Width
Pion 138.053 137.6 ± 0.4 0.5 ± 0.5
Sigma meson 551.843 330 ± 15 30 ± 6
Table: Pole masses vs. curvature masses and decay widths, all in MeV.
Pion pole mass agrees with CM, decay width compatible with zero.
Sigma meson pole mass close to two pion decay threshold, pole
belonging to second Riemann sheet.
Analytic continuation used requires large number of data points.
Results compatible with QCD calculations.3
3
Comparison with fQCD calculations, see Alkofer et al, arXiv:1810.07955.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 18 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Comparison between functional methods
Formal comparison.
Practical comparison in truncated low-energy QCD models.
Nambu-Jona-Lasinio (NJL) model.
Gross-Neveu (GN) model.
Quark-Meson (QM) model.
Numerical comparison.
Intrinsic properties of the methods.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 19 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Dyson-Schwinger equations (DSEs)
Consequence from cancellation of path integral under total derivative:
Dφ
δ
δφ
e−S[φ]+ x Jφ
= 0
DSEs for 1PI correlators:
δΓ[ϕ]
δϕi
−
δS
δϕi
ϕ +
δ2Γ[ϕ]
δϕδϕj
−1
δ
δϕj
= 0
Self-coupled integral equations not exactly solvable in general.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 20 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
DSEs in QCD:
−1−1
=
=
Quark Propagator
+
+
++
Quark-Gluon Vertex
...
Infinite tower of coupled equations.
Truncation is required.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 21 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Quark DSE under Rainbow-Ladder truncation:
-1 -1
= - α(k2
)
Solution for inverse quark propagator S−1(p) = A(p2)i/p + B(p2):
10−3
10−2
10−1
100
101
102
103
p2
(GeV)
2
1.0
1.1
1.2
1.3
1.4
1.5
A(p2
)
mq = 0
mq = 0
10−2
10−1
100
101
102
103
p2
(GeV)
2
10−3
10−2
10−1
M(p2
)(GeV)
mq = 0
mq = 0
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 22 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Bethe-Salpeter equation: bound state equation for mesons:
Γ = KG0Γ
Pion BSE under Rainbow-Ladder truncation:
q q~
kq P P=
Γ Γ
−0.20 −0.15 −0.10 −0.05 0.00
p2 (GeV)
0.96
0.98
1.00
1.02
1.04
λ
−0.25 −0.20 −0.15 −0.10 −0.05 0.00
p2 (GeV)
−2000
−1500
−1000
−500
0
500
1000
1500
2000
f(0)
(p2
,0,0)
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 23 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
The NJL model
Fermion system with 4-Fermi interaction:
S[ ¯ψ, ψ] =
p
¯ψ(i/p + mq)ψ + λ ¯ψψ
2
Diagrammatic equations:
−1
−1−1
=
=
∂t
Quark DSE
+ +
Quark flow equation
+
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 24 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Same analytical expression obtained:
Proper interpretation of scale-dependent parameters.
Using constant λ ∝ c
Λ2 approximation.
0 1 2 3 4 5
c
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
M(GeV)
mq = 0
mq = 0
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 25 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
The GN model
Fermion system with 4-Fermi interaction in 2-dimensions:
S[ ¯ψ, ψ] =
d2p
(2π)2
¯ψ(i/p + mq)ψ + λ ¯ψψ
2
System is renormalisable.
Quark propagator dressings get momentum dependence.
2-loop terms appear.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 26 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
−1−1
−1
=
=
=
=
∂t
∂t
DSE
+ + +
+ + + + +
+
+ + +
+ + +
+
FRG
aaa
a
a
a aaaa
aaaa
b
bb
b
b
b
b
b
b
b
b
b
b
b
c
cc
c
c
c
c
ccc
c
ccc
ddd
d
d
d dd
d
d
dd
d
d
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 27 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
10−3
10−2
10−1
100
101
102
103
104
105
p2
(GeV)
2
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
M(p2
)(GeV)
FRG
DSE
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 28 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
The Quark-Meson model
Bare action from bosonised NJL model:
S[ψ, ¯ψ, σ, π] =
p
¯ψ Z2 i/p ψ +
m2
2
Zσ σ2
+ Zπ π2
+
q
¯ψh
Zhσ
2
σ + i Zhπ γ5 τ π ψ
No bosonic kinetic terms.
Momentum-dependent quantities generated dynamically.
Self-coupled system of equations with zero quark-multi-meson vertex.
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 29 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
10−5
10−4
10−3
10−2
10−1
100
p2
(GeV)
2
0
10
20
30
40
50
Gπ
(p2
)(GeV)
−2
FRG
DSE
10−5
10−4
10−3
10−2
10−1
100
p2
(GeV)
2
0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Gσ
(p2
)(GeV)
−2
FRG
DSE
10−5
10−4
10−3
10−2
10−1
100
p2
(GeV)
2
0.96
0.98
1.00
1.02
1.04
1.06
1.08
A(p2
)
FRG
DSE
10−5
10−4
10−3
10−2
10−1
100
p2
(GeV)
2
0.260
0.265
0.270
0.275
0.280
0.285
0.290
0.295
M(p2
)(GeV)
FRG
DSE
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 30 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Intrinsic properties of the FRG
Dynamically generated kinetic terms.
Propagating degrees of freedom are preserved.
Probability amplitude conservation during flow:
Z−2
k,ψ +
1
4
Z2
k,σ +
3
4
Z2
k,π ≡ Zk,s = 1 ∀k
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 31 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
0.0 0.2 0.4 0.6 0.8
k (GeV)
0.0
0.2
0.4
0.6
0.8
1.0
WaveFunctionRenormalisation
Z−1
k,ψ
Zk,π
Zk,σ
Zk,s
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 32 / 33
Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary
Summary
The FRG provides an alternative procedure to the BSE/Faddeev
equation to obtain resonance masses and decay widths.
Observables obtained are compatible with physical processes.
Approximations compatible in both functional methods can be found,
relating FRG with DSEs and BSEs.
The FRG reduces complexity of equations by introducing an
additional parameter.
Sophisticated numerical tools required in both functional methods.
THANK YOU FOR YOUR ATTENTION
Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 33 / 33

Weitere ähnliche Inhalte

Was ist angesagt?

Presentation_Guccione.pptx
Presentation_Guccione.pptxPresentation_Guccione.pptx
Presentation_Guccione.pptx
grssieee
 

Was ist angesagt? (18)

A02610106
A02610106A02610106
A02610106
 
I033041045
I033041045I033041045
I033041045
 
Research Summary: Scalable Algorithms for Nearest-Neighbor Joins on Big Traje...
Research Summary: Scalable Algorithms for Nearest-Neighbor Joins on Big Traje...Research Summary: Scalable Algorithms for Nearest-Neighbor Joins on Big Traje...
Research Summary: Scalable Algorithms for Nearest-Neighbor Joins on Big Traje...
 
A Non Parametric Estimation Based Underwater Target Classifier
A Non Parametric Estimation Based Underwater Target ClassifierA Non Parametric Estimation Based Underwater Target Classifier
A Non Parametric Estimation Based Underwater Target Classifier
 
Fulltext
FulltextFulltext
Fulltext
 
Multinomial Logistic Regression with Apache Spark
Multinomial Logistic Regression with Apache SparkMultinomial Logistic Regression with Apache Spark
Multinomial Logistic Regression with Apache Spark
 
Approximation Algorithms for the Directed k-Tour and k-Stroll Problems
Approximation Algorithms for the Directed k-Tour and k-Stroll ProblemsApproximation Algorithms for the Directed k-Tour and k-Stroll Problems
Approximation Algorithms for the Directed k-Tour and k-Stroll Problems
 
A Load-Balanced Parallelization of AKS Algorithm
A Load-Balanced Parallelization of AKS AlgorithmA Load-Balanced Parallelization of AKS Algorithm
A Load-Balanced Parallelization of AKS Algorithm
 
Creating It from Bit - Designing Materials by Integrating Quantum Mechanics, ...
Creating It from Bit - Designing Materials by Integrating Quantum Mechanics, ...Creating It from Bit - Designing Materials by Integrating Quantum Mechanics, ...
Creating It from Bit - Designing Materials by Integrating Quantum Mechanics, ...
 
A first order hyperbolic framework for large strain computational computation...
A first order hyperbolic framework for large strain computational computation...A first order hyperbolic framework for large strain computational computation...
A first order hyperbolic framework for large strain computational computation...
 
5. 8519 1-pb
5. 8519 1-pb5. 8519 1-pb
5. 8519 1-pb
 
Paper Study - Incremental Data-Flow Analysis Algorithms by Ryder et al
Paper Study - Incremental Data-Flow Analysis Algorithms by Ryder et alPaper Study - Incremental Data-Flow Analysis Algorithms by Ryder et al
Paper Study - Incremental Data-Flow Analysis Algorithms by Ryder et al
 
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
Bi-objective Optimization Apply to Environment a land Economic Dispatch Probl...
 
A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION
A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTIONA COMPARISON OF PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION
A COMPARISON OF PARTICLE SWARM OPTIMIZATION AND DIFFERENTIAL EVOLUTION
 
Final presentation
Final presentationFinal presentation
Final presentation
 
RuleML 2015 Constraint Handling Rules - What Else?
RuleML 2015 Constraint Handling Rules - What Else?RuleML 2015 Constraint Handling Rules - What Else?
RuleML 2015 Constraint Handling Rules - What Else?
 
Presentation_Guccione.pptx
Presentation_Guccione.pptxPresentation_Guccione.pptx
Presentation_Guccione.pptx
 
Sampling-Based Planning Algorithms for Multi-Objective Missions
Sampling-Based Planning Algorithms for Multi-Objective MissionsSampling-Based Planning Algorithms for Multi-Objective Missions
Sampling-Based Planning Algorithms for Multi-Objective Missions
 

Ähnlich wie PhD Exam Talk

HyperPrompt:Prompt-based Task-Conditioning of Transformerspdf
HyperPrompt:Prompt-based Task-Conditioning of TransformerspdfHyperPrompt:Prompt-based Task-Conditioning of Transformerspdf
HyperPrompt:Prompt-based Task-Conditioning of Transformerspdf
Po-Chuan Chen
 
aMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fitsaMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fits
juanrojochacon
 
NNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run IINNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run II
juanrojochacon
 
hankel_norm approximation_fir_ ijc
hankel_norm approximation_fir_ ijchankel_norm approximation_fir_ ijc
hankel_norm approximation_fir_ ijc
Vasilis Tsoulkas
 

Ähnlich wie PhD Exam Talk (20)

I1065259
I1065259I1065259
I1065259
 
International Journal of Engineering Research and Development
International Journal of Engineering Research and DevelopmentInternational Journal of Engineering Research and Development
International Journal of Engineering Research and Development
 
HyperPrompt:Prompt-based Task-Conditioning of Transformerspdf
HyperPrompt:Prompt-based Task-Conditioning of TransformerspdfHyperPrompt:Prompt-based Task-Conditioning of Transformerspdf
HyperPrompt:Prompt-based Task-Conditioning of Transformerspdf
 
A Dual Scheme For Traffic Assignment Problems
A Dual Scheme For Traffic Assignment ProblemsA Dual Scheme For Traffic Assignment Problems
A Dual Scheme For Traffic Assignment Problems
 
A Robust Method Based On LOVO Functions For Solving Least Squares Problems
A Robust Method Based On LOVO Functions For Solving Least Squares ProblemsA Robust Method Based On LOVO Functions For Solving Least Squares Problems
A Robust Method Based On LOVO Functions For Solving Least Squares Problems
 
An Exact Branch And Bound Algorithm For The General Quadratic Assignment Problem
An Exact Branch And Bound Algorithm For The General Quadratic Assignment ProblemAn Exact Branch And Bound Algorithm For The General Quadratic Assignment Problem
An Exact Branch And Bound Algorithm For The General Quadratic Assignment Problem
 
QSAR : Activity Relationships Quantitative Structure
QSAR : Activity Relationships Quantitative StructureQSAR : Activity Relationships Quantitative Structure
QSAR : Activity Relationships Quantitative Structure
 
News from NNPDF: QED, small-x, and alphas(MZ) fits
News from NNPDF: QED, small-x, and alphas(MZ) fitsNews from NNPDF: QED, small-x, and alphas(MZ) fits
News from NNPDF: QED, small-x, and alphas(MZ) fits
 
aMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fitsaMCfast: Automation of Fast NLO Computations for PDF fits
aMCfast: Automation of Fast NLO Computations for PDF fits
 
DFT Presentation.pptx
DFT Presentation.pptxDFT Presentation.pptx
DFT Presentation.pptx
 
Dock Sem
Dock SemDock Sem
Dock Sem
 
Methods available in WIEN2k for the treatment of exchange and correlation ef...
Methods available in WIEN2k for the treatment  of exchange and correlation ef...Methods available in WIEN2k for the treatment  of exchange and correlation ef...
Methods available in WIEN2k for the treatment of exchange and correlation ef...
 
NNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run IINNPDF3.0: parton distributions for the LHC Run II
NNPDF3.0: parton distributions for the LHC Run II
 
15.sp.dictionary_draft.pdf
15.sp.dictionary_draft.pdf15.sp.dictionary_draft.pdf
15.sp.dictionary_draft.pdf
 
Parallelization of Benchmarking using HPC: Text Summarization in Natural Lang...
Parallelization of Benchmarking using HPC: Text Summarization in Natural Lang...Parallelization of Benchmarking using HPC: Text Summarization in Natural Lang...
Parallelization of Benchmarking using HPC: Text Summarization in Natural Lang...
 
Real Time Systems - Deferred pre-emption
Real Time Systems - Deferred pre-emptionReal Time Systems - Deferred pre-emption
Real Time Systems - Deferred pre-emption
 
A Research on Optimal Power Flow Solutions For Variable Loa
A Research on Optimal Power Flow Solutions For Variable LoaA Research on Optimal Power Flow Solutions For Variable Loa
A Research on Optimal Power Flow Solutions For Variable Loa
 
An upwind cell centred Finite Volume Method for nearly incompressible explici...
An upwind cell centred Finite Volume Method for nearly incompressible explici...An upwind cell centred Finite Volume Method for nearly incompressible explici...
An upwind cell centred Finite Volume Method for nearly incompressible explici...
 
hankel_norm approximation_fir_ ijc
hankel_norm approximation_fir_ ijchankel_norm approximation_fir_ ijc
hankel_norm approximation_fir_ ijc
 
Diseño rapido de amplificadores con valores
Diseño rapido de amplificadores con valoresDiseño rapido de amplificadores con valores
Diseño rapido de amplificadores con valores
 

Kürzlich hochgeladen

Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
MohamedFarag457087
 
LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.
Cherry
 
PODOCARPUS...........................pptx
PODOCARPUS...........................pptxPODOCARPUS...........................pptx
PODOCARPUS...........................pptx
Cherry
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
Cherry
 
biology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGYbiology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGY
1301aanya
 

Kürzlich hochgeladen (20)

Site Acceptance Test .
Site Acceptance Test                    .Site Acceptance Test                    .
Site Acceptance Test .
 
Dr. E. Muralinath_ Blood indices_clinical aspects
Dr. E. Muralinath_ Blood indices_clinical  aspectsDr. E. Muralinath_ Blood indices_clinical  aspects
Dr. E. Muralinath_ Blood indices_clinical aspects
 
Digital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptxDigital Dentistry.Digital Dentistryvv.pptx
Digital Dentistry.Digital Dentistryvv.pptx
 
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIACURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
CURRENT SCENARIO OF POULTRY PRODUCTION IN INDIA
 
LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.LUNULARIA -features, morphology, anatomy ,reproduction etc.
LUNULARIA -features, morphology, anatomy ,reproduction etc.
 
Factory Acceptance Test( FAT).pptx .
Factory Acceptance Test( FAT).pptx       .Factory Acceptance Test( FAT).pptx       .
Factory Acceptance Test( FAT).pptx .
 
FAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical ScienceFAIRSpectra - Enabling the FAIRification of Analytical Science
FAIRSpectra - Enabling the FAIRification of Analytical Science
 
PODOCARPUS...........................pptx
PODOCARPUS...........................pptxPODOCARPUS...........................pptx
PODOCARPUS...........................pptx
 
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptxClimate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
Climate Change Impacts on Terrestrial and Aquatic Ecosystems.pptx
 
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
Human & Veterinary Respiratory Physilogy_DR.E.Muralinath_Associate Professor....
 
Clean In Place(CIP).pptx .
Clean In Place(CIP).pptx                 .Clean In Place(CIP).pptx                 .
Clean In Place(CIP).pptx .
 
Cyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptxCyanide resistant respiration pathway.pptx
Cyanide resistant respiration pathway.pptx
 
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS  ESCORT SERVICE In Bhiwan...Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS  ESCORT SERVICE In Bhiwan...
Bhiwandi Bhiwandi ❤CALL GIRL 7870993772 ❤CALL GIRLS ESCORT SERVICE In Bhiwan...
 
Genetics and epigenetics of ADHD and comorbid conditions
Genetics and epigenetics of ADHD and comorbid conditionsGenetics and epigenetics of ADHD and comorbid conditions
Genetics and epigenetics of ADHD and comorbid conditions
 
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and SpectrometryFAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
FAIRSpectra - Enabling the FAIRification of Spectroscopy and Spectrometry
 
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRingsTransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
TransientOffsetin14CAftertheCarringtonEventRecordedbyPolarTreeRings
 
CYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptxCYTOGENETIC MAP................ ppt.pptx
CYTOGENETIC MAP................ ppt.pptx
 
biology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGYbiology HL practice questions IB BIOLOGY
biology HL practice questions IB BIOLOGY
 
Kanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot Girls
Kanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot GirlsKanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot Girls
Kanchipuram Escorts 🥰 8617370543 Call Girls Offer VIP Hot Girls
 
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate ProfessorThyroid Physiology_Dr.E. Muralinath_ Associate Professor
Thyroid Physiology_Dr.E. Muralinath_ Associate Professor
 

PhD Exam Talk

  • 1. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Systematic comparison between non-perturbative functional methods in low-energy QCD models Jordi Par´ıs L´opez Advisors: R. Alkofer and H. Sanchis-Alepuz Karl-Franzens-Universit¨at Graz, Austria Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 1 / 33
  • 2. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Content Motivation and thesis objectives. Basics of the functional methods. Results using the Functional Renormalisation Group (FRG). Comparison between functional methods. Summary. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 2 / 33
  • 3. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Motivation and thesis objectives Many features from QCD still not completely understood. Bound states inherently non-perturbative. Large couplings in QCD at hadronic energies. Non-perturbative approaches required → Functional Methods. No sign problem. Wide range of scales. Successful predictions in QCD: Observables, DχSB,... Different truncations and approximations. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 3 / 33
  • 4. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Functional methods treated: Dyson-Schwinger–Bethe-Salpeter equations (DSE-BSE). Functional Renormalisation Group (FRG). Objectives Obtain observables using the FRG in different approximations. Compare both approaches in different low-energy QCD models. Analyse viability of the methods: truncations, numerics, etc. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 4 / 33
  • 5. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Basics of functional methods Euclidean generating functional as starting point: Z[J] = eW[J] = Dφ e−S[φ]+ x Jφ Effective Action Γ[φ] from W[J] Legendre transformation: e−Γ[ϕ] = Dφ exp −S[ϕ + φ] + x dΓ[ϕ] dϕ φ with δΓ δϕ ≡ J , ϕ ≡ δW[J] δJ = φ J . Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 5 / 33
  • 6. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary The effective action Γ[φ]: Expressed as sum of 1PI Green’s functions. Main object of interest in functional methods. Calculation of Γ[φ] using functional equations: DSE: coupled integral equations. FRG: differential equations containing integrals. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 6 / 33
  • 7. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary The Functional Renormalisation Group (FRG)1 Main functional: scale dependent 1-PI effective action: Γ[φ] → Γk[φ]. Scale introduced via regulator ∆Sk[φ]. Initial and final conditions are fixed in theory space: Γk=Λ ≃ Sbare Γk≃0 ≡ Γ The choice of the regulator is not unique. 1 See, e.g., Gies, arXiv:hep-ph/0611146 for an introduction. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 7 / 33
  • 8. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Using quadratic regulators ∆Sk[φ] = p φRkφ: ∂tΓk = 1 2 Tr ∂tRk Γ (2) k + Rk −1 Wetterich’s Flow Equation with t = ln k Λ and ∂t = k∂k. Euclidean non-perturbative 1-loop integral-differential equation. Leads to non-perturbative flow equation for vertex functions: −1 =∂t + + + Truncation/approximation required. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 8 / 33
  • 9. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Dynamical hadronisation Convenient to work with macroscopic QCD degrees of freedom. Mesons introduced from a 4-Fermi interaction via the Hubbard-Stratonovich (HS) transformation. Problem: non-zero 4-Fermi interaction flow ∂tλk =⇒ HS transformation cancelled in every RG-step: ∂t = + . . . Solved by dynamical hadronisation. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 9 / 33
  • 10. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Introduction of scale dependent bosonic field: ∂tφk = ∂tAk( ¯ψτψ) Wetterich’s flow equation modified =⇒ Additional term in ∂tλk: ∂tλk = Flow λk − hk∂tAk ! = 0 Generalisation of HS transformation for every RG-step. Green’s functions computed with meson exchange diagrams: Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 10 / 33
  • 11. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Results using the FRG Gluons decoupled at low energies2. Low-energy QCD effectively described by fermionic NJL-like models. Mesons introduced via HS transformation. Approximate effective action of the Quark Meson model: Γk ¯ψ, ψ, σ, π = Γ (int) k,4ψ [ ¯ψ, ψ] + p Zk,ψ ¯ψ i/p ψ + + 1 2 p2 Zk,σ σ2 + Zk,π π2 + Vk[σ, π] − cσ + + q hk ¯ψ σ 2 + iγ5τzπz ψ 2 Comparison to the full calculation, see A.Cyrol et al, arXiv:1605.01856. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 11 / 33
  • 12. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Multi-meson interactions introduced via O(N) potential following: Vk(ρ) = ∞ n=0 V (n) k n! (ρ − ρ0)n with ρ = 1 2 σ2 + π2 and ρ0 scale independent expansion point. Flow equations to solve: Potential terms, ˙V (i) k with i = 0, ... , 8. Wave function renormalisation, ˙Zk,i with i = σ, π, ψ. 4-Fermi coupling, ˙λk = Flow λk − hk ˙Ak ≡ 0. Yukawa coupling, ˙hk = Flow hk − V (1) k ˙Ak. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 12 / 33
  • 13. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Approximations used: LPA: Scale-dependent potential, constant Yukawa coupling hk(p2) = h, unit Zk,i(p2) = 1 and zero 4-Fermi coupling λk = 0. LPA+Y: Yukawa coupling includes scale dependence. LPA+Y’: Yukawa coupling includes scale and momentum dependence. Full: Scale and momentum-dependent wave function renormalisations Zk,i(p2) are included. Full+DH: Dynamical hadronisation taken into account. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 13 / 33
  • 14. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 0.0 0.2 0.4 0.6 0.8 1.0 k (GeV) 0.5 1.0 1.5 2.0 2.5 ¯mk(GeV) Pion Sigma Meson LPA LPA+Y LPA+Y’ Full Full+DH Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 14 / 33
  • 15. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 0.0 0.2 0.4 0.6 0.8 1.0 k (GeV) 0.00 0.05 0.10 0.15 0.20 0.25 0.30 ¯mk,ψ(GeV) LPA LPA+Y LPA+Y’ Full Full+DH Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 15 / 33
  • 16. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 0.00 0.25 0.50 0.75 1.00 1.25 1.50 1.75 p (GeV) 0.25 0.26 0.27 0.28 0.29 0.30 ¯mIR,ψ(GeV) LPA+Y’ Full Full+DH Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 16 / 33
  • 17. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 p2 (GeV) 2 0 1 2 3 4 5 ¯Γ (2) IR,φ(GeV) 2 Pion Sigma Meson Full Full+DH 10−7 10−6 10−5 10−4 10−3 10−2 10−1 100 p2 (GeV) 2 0 10 20 30 40 50 ¯Γ (−2) IR,φ(GeV) −2 Pion Sigma Meson Full Full+DH −0.142 −0.140 −0.138 −0.136 −0.134 −0.132 p2 (GeV) −30000 −20000 −10000 0 10000 20000 30000 ¯Γ (−2) IR,π(GeV) −2 Pad´e Modified Pad´e 0.0 0.1 0.2 0.3 0.4 0.5 0.6 p0 (GeV) 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 ρ(GeV) −2 Pion Sigma Meson Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 17 / 33
  • 18. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Applying analytic continuation to obtain pole masses and comparing with curvature ”masses” (CM) mk,i we obtained: Particle CM (Input) Pole Mass Decay Width Pion 138.053 137.6 ± 0.4 0.5 ± 0.5 Sigma meson 551.843 330 ± 15 30 ± 6 Table: Pole masses vs. curvature masses and decay widths, all in MeV. Pion pole mass agrees with CM, decay width compatible with zero. Sigma meson pole mass close to two pion decay threshold, pole belonging to second Riemann sheet. Analytic continuation used requires large number of data points. Results compatible with QCD calculations.3 3 Comparison with fQCD calculations, see Alkofer et al, arXiv:1810.07955. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 18 / 33
  • 19. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Comparison between functional methods Formal comparison. Practical comparison in truncated low-energy QCD models. Nambu-Jona-Lasinio (NJL) model. Gross-Neveu (GN) model. Quark-Meson (QM) model. Numerical comparison. Intrinsic properties of the methods. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 19 / 33
  • 20. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Dyson-Schwinger equations (DSEs) Consequence from cancellation of path integral under total derivative: Dφ δ δφ e−S[φ]+ x Jφ = 0 DSEs for 1PI correlators: δΓ[ϕ] δϕi − δS δϕi ϕ + δ2Γ[ϕ] δϕδϕj −1 δ δϕj = 0 Self-coupled integral equations not exactly solvable in general. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 20 / 33
  • 21. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary DSEs in QCD: −1−1 = = Quark Propagator + + ++ Quark-Gluon Vertex ... Infinite tower of coupled equations. Truncation is required. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 21 / 33
  • 22. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Quark DSE under Rainbow-Ladder truncation: -1 -1 = - α(k2 ) Solution for inverse quark propagator S−1(p) = A(p2)i/p + B(p2): 10−3 10−2 10−1 100 101 102 103 p2 (GeV) 2 1.0 1.1 1.2 1.3 1.4 1.5 A(p2 ) mq = 0 mq = 0 10−2 10−1 100 101 102 103 p2 (GeV) 2 10−3 10−2 10−1 M(p2 )(GeV) mq = 0 mq = 0 Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 22 / 33
  • 23. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Bethe-Salpeter equation: bound state equation for mesons: Γ = KG0Γ Pion BSE under Rainbow-Ladder truncation: q q~ kq P P= Γ Γ −0.20 −0.15 −0.10 −0.05 0.00 p2 (GeV) 0.96 0.98 1.00 1.02 1.04 λ −0.25 −0.20 −0.15 −0.10 −0.05 0.00 p2 (GeV) −2000 −1500 −1000 −500 0 500 1000 1500 2000 f(0) (p2 ,0,0) Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 23 / 33
  • 24. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary The NJL model Fermion system with 4-Fermi interaction: S[ ¯ψ, ψ] = p ¯ψ(i/p + mq)ψ + λ ¯ψψ 2 Diagrammatic equations: −1 −1−1 = = ∂t Quark DSE + + Quark flow equation + Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 24 / 33
  • 25. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Same analytical expression obtained: Proper interpretation of scale-dependent parameters. Using constant λ ∝ c Λ2 approximation. 0 1 2 3 4 5 c 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 M(GeV) mq = 0 mq = 0 Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 25 / 33
  • 26. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary The GN model Fermion system with 4-Fermi interaction in 2-dimensions: S[ ¯ψ, ψ] = d2p (2π)2 ¯ψ(i/p + mq)ψ + λ ¯ψψ 2 System is renormalisable. Quark propagator dressings get momentum dependence. 2-loop terms appear. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 26 / 33
  • 27. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary −1−1 −1 = = = = ∂t ∂t DSE + + + + + + + + + + + + + + + + FRG aaa a a a aaaa aaaa b bb b b b b b b b b b b b c cc c c c c ccc c ccc ddd d d d dd d d dd d d Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 27 / 33
  • 28. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 10−3 10−2 10−1 100 101 102 103 104 105 p2 (GeV) 2 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 M(p2 )(GeV) FRG DSE Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 28 / 33
  • 29. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary The Quark-Meson model Bare action from bosonised NJL model: S[ψ, ¯ψ, σ, π] = p ¯ψ Z2 i/p ψ + m2 2 Zσ σ2 + Zπ π2 + q ¯ψh Zhσ 2 σ + i Zhπ γ5 τ π ψ No bosonic kinetic terms. Momentum-dependent quantities generated dynamically. Self-coupled system of equations with zero quark-multi-meson vertex. Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 29 / 33
  • 30. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 10−5 10−4 10−3 10−2 10−1 100 p2 (GeV) 2 0 10 20 30 40 50 Gπ (p2 )(GeV) −2 FRG DSE 10−5 10−4 10−3 10−2 10−1 100 p2 (GeV) 2 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Gσ (p2 )(GeV) −2 FRG DSE 10−5 10−4 10−3 10−2 10−1 100 p2 (GeV) 2 0.96 0.98 1.00 1.02 1.04 1.06 1.08 A(p2 ) FRG DSE 10−5 10−4 10−3 10−2 10−1 100 p2 (GeV) 2 0.260 0.265 0.270 0.275 0.280 0.285 0.290 0.295 M(p2 )(GeV) FRG DSE Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 30 / 33
  • 31. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Intrinsic properties of the FRG Dynamically generated kinetic terms. Propagating degrees of freedom are preserved. Probability amplitude conservation during flow: Z−2 k,ψ + 1 4 Z2 k,σ + 3 4 Z2 k,π ≡ Zk,s = 1 ∀k Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 31 / 33
  • 32. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary 0.0 0.2 0.4 0.6 0.8 k (GeV) 0.0 0.2 0.4 0.6 0.8 1.0 WaveFunctionRenormalisation Z−1 k,ψ Zk,π Zk,σ Zk,s Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 32 / 33
  • 33. Motivation and objectives Basics of functional methods Results using the FRG DSE-FRG comparison Summary Summary The FRG provides an alternative procedure to the BSE/Faddeev equation to obtain resonance masses and decay widths. Observables obtained are compatible with physical processes. Approximations compatible in both functional methods can be found, relating FRG with DSEs and BSEs. The FRG reduces complexity of equations by introducing an additional parameter. Sophisticated numerical tools required in both functional methods. THANK YOU FOR YOUR ATTENTION Jordi Par´ıs L´opez Systematic comparison between functional methods in low-energy QCD 33 / 33