method of regions and its applications 2011.4.21 the interdisciplinary center for theoretical study,...
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Method of Regionsand Its ApplicationsMethod of Regions
and Its Applications
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC 1
Graduate University of the CAS
Deshan Yang
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OutlineOutline
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC 2
1. Introduction
2. Examples of Method of Regions
3. Connections to Effective Field Theory
4. Applications
5. Summary
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Victor Frankenstein’s Idea of ScienceVictor Frankenstein’s Idea of Science
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC 3
Modern Physics Understand the nature of the Universe
qualitatively and quantitatively.
What can we do? Anatomy--approaching to the truth gradually
Cut the body into pieces and study each part
Stitch them together and hope for the best
Scientist: FrankensteinTo create the Frankenstein’s monster or an angel?
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Beauty charmless decayBeauty charmless decay
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Many scales
Many couplings
Many hadrons
Difficulties: Strong
interactions
Way-out: Factorization
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FactorizationFactorization
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Questions to be answeredQuestions to be answered
How to separate the contributions from the different scales?
How to establish the RGEs to resum the large logarithms?
How to estimate or compensate the loss due to the power corrections?
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC 6
Method of regions can help!
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Integration by regionsIntegration by regions
For a Feynman integral containing small parameters (multiple-
scale problem) in dimensional regularization
Divide the space of the loop momenta into various regions and , in
each region, expand the integrand into a Taylor series with respect to
the parameters that are considered small there;
Integrate the integrand, expanded in the appropriate way in every
region, over the whole integration domain of the loop momenta;
Add up all the expanded integrals in all regions, we reproduce the
Taylor series of the original Feynman integral with respect to the small
parameters exactly.
Finally, a multiple-scale problem is divided into single (less) scale
problems.
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Example 1: Two-masses dependent integralExample 1: Two-masses dependent integral
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Cut-off regularizationCut-off regularization
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UV div.IR div.
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Dimensional regularizationDimensional regularization
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The expansion is valid up to any order of a;
The integral in each region is the function of only one scale and simpler
than the original integral;
The factious divergence in each region is cancelled after adding up the
contributions from large scale region and small scale region.
UV div. IR div.
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Example 2: Threshold ExpansionExample 2: Threshold Expansion
Beneke & Smirnov, NPB1998
Small parameter:
Hard region:
Potential region:
Soft/Ultra-soft region: or
Tadpole diagrams: 0 in DR
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2221 ))()((
][
pkykqkykqk
dkI
222
2
4qp
qmy
2,, 21
2122
22
1
pppppqmpp
qkqk ~,~0
1
1 2 2 2 2
[ ] 4 1 ( )
( )( ) 2 1 2Eh dk
I ek k q k k q k q
ykqyk ~,/~0
2
)2/1(
))((
1)1(22212/
1
1
yq
ye
pkyk
kde
qI EE
d
dp
ykyk ~,~0
qykqyk /~,/~0
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Adding upAdding up
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC12
11 2 1
1
2
1ˆ( ) (1/ 2,1 ,3 / 2; 1/ (4 ))
2
ˆ4 (4 ) ( 1/ 2)
8 2(1 2 )ˆ
E
E
I e y F y
ye
q y
/1 1 1 1
h p s usI I I I
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Remarks on method of regionsRemarks on method of regions
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Effective Field TheoryEffective Field Theory
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Application 1: Effective weak HamiltonianApplication 1: Effective weak Hamiltonian
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Effective operatorsEffective operators
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First step factorization in B decaysFirst step factorization in B decays
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Example of matching : Tree-levelExample of matching : Tree-level
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One-loop level matching equationOne-loop level matching equation
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC19
(1)fulliM
...
1Q
1Q
...
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One-loop matching equationOne-loop matching equation
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1tr loopfulliM iM iM 1 1tr loop loop
hard IRiM iM iM
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Hard partHard part
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Putting togetherPutting together
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RenormalizationRenormalization
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Application 2: Heavy-to-light Form-factorsApplication 2: Heavy-to-light Form-factors
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Factorization formulaFactorization formula
2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC25
There’s another factorization formula in which the transverse momenta of the patrons are invoked to avoid the endpoint singularity. Kurimoto, Li, Sanda 2002
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Factorization formula in SCETFactorization formula in SCET
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Matching procedureMatching procedure
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More on matchingMore on matching
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“Hard” contribution“Hard” contribution
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Wilson coefficientsWilson coefficients
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Wilson coefficients Wilson coefficients
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RGEsRGEs
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Jet functionsJet functions
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Application 3: B two-body charmless decayApplication 3: B two-body charmless decay
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Matching onto SCETIIMatching onto SCETII
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Factorization formulaFactorization formula
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Hard-spectator interactionHard-spectator interaction
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NNLO vertex correctionsNNLO vertex corrections
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Complete NNLO: G.Bell, 2009; Beneke,Li,Huber 2009
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Application 4: Exclusive single quarkonium productionApplication 4: Exclusive single quarkonium production
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NRQCD factorizationNRQCD factorizationFor single quarkonium production
: NRQCD operator with definite velocity power counting
multi-scale problem: Q>>m
stability of the perturbation: large log(Q/m)
may need the resummation.
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RefactorizationRefactorization
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At the leading power of velocity,
The hard kernel is the same as the similar process in which the quarkonium is replaced by a flavor singlet light meson.
Since , the LCDA of bounded heavy quark and anti-quark can be calculated perturbatively.
Ma and Si, PRD 2006; Bell and Feldmann, JHEP 2007;
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Example:Example:
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Qe e
NRQCD factorization up to leading power of velocity:
The short-distance contribution is parameterized as
The equivalent computation is to calculate the on-shell heavyquark anti-quark pair with equal momentum and the samequantum number as the quarkonium. At the tree level,
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One-loop levelOne-loop level
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Sang, Chen, arXiv:0910.4071; Li, He, Chao arXiv:0910.4155
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Leading regionsLeading regions
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Hard Region:
Collinear region:
Anti-collinear region:
Potential region:
Soft region:
Ultra-soft region:
2( , ) ~ (1, , ),n k k n k s ~ / ,Qm s 2 2~ Qk m
2( , ) ~ ( , ,1),n k k n k s
~ ,k s 2 ~k s
2 2~ Qk m
NRQCD regionsNon-perturbative
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Form factorForm factor
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NRQCD:
Collinear factorization:
Hard-kernel:
at tree level
Light-cone distribution amplitude
Ma and Si, PRD 2006; Bell and Feldmann, JHEP 2007;
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RGE for LCDARGE for LCDA
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Brodsky-Lepage kernel:
Resum the leading logarithms
where
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NLO results (preliminary)NLO results (preliminary)
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Braaten, PRD 1981;
Ma and Si, PRD 2006; Bell and Feldmann, JHEP 2007;
Hard Part
Collinear Part
Total Results
2(1) 2 ln
( ) (3 2ln ) ln ln 9 ( 1 )4 1S FC x x
T x x x x xx s i x
Sang, Chen, arXiv:0910.4071; Li, He, Chao arXiv:0910.4155
2(1) (0) (1) 2 2(1/ 2) ((9 6ln 2) ln 9ln 2 3ln 2 27 )
mT T
s
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SummarySummary
Method of regions: Not mathematically proved, but no counter-examples so far.
Intimately connected to the calculation of the matching coefficients in EFT.
Advantages: Multiple scale problems simplified to single scale problems;
Disadvantages: How to find the relevant regions? (No general procedure!)
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谢谢!谢谢!2011.4.21 The Interdisciplinary Center for Theoretical Study, USTC49