Electron anomalous magnetic moment and the fine structure

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Automated Calculation Scheme for α

Contributions of QED to Lepton g-2:

Diagrams without Lepton Loops

M. Nio ( RIKEN)

Feb. 7, 2006

KEK 大型シミュレーション研究ワークショップ

「超高速計算機が切り開く計算物理学の展望」 w/ T. Kinoshita@Cornell University

T. Aoyama and M. Hayakawa@RIKEN hep-ph/0512288 hep-ph/0512330, 0507249, 0402206,0210322

What is electron g-2 ?

experiment and theory importance in physics fine structure constant

α

Automation of g-2 calculation why the 10 th -order term is needed our automation scheme

§ 1. Electron anomalous magnetic moment

The g factor of the electron is modified by radiative corrections:

The forward scattering amplitude of the electron:

The Pauli form factor is a source of the electron anomaly: is a dimensionless constant.

Experiments: UW87 and HV05

Penning trap measurement:

“geonium”=confinement of a single electron by means of the electro-magnetic fields in a metallic cavity.

B. Odom ’0 4

Harvard U

Ph. D thesis

ω a anomaly frequency

ω s spin frequency

ω c cyclotron frequency

★ U. of Washington measurement: 1987 H. Dehmelt et al.

Source of the uncertainty <= unknown resonance shift due to a hyperbola cavity

★ Harvard University measurement: 2005 G. Gabrielse et al. on going

Preliminary! Please don’t quote it.

B. Odom Ph.D thesis, Harvard U. 2004

Cylindrical cavity, whose resonance structure is analytically known, is used.

Electron g-2 v.s. Muon g-2

Electron g-2 Muon g-2

QED mass independent 999999996ppb 994623ppm

QED mass dependent 2.3ppb

5313ppm

Hadronic 1.4ppb

about

60ppm

Weak 0.03ppb

1ppm

Muon g-2 is more sensitive to a heavy particle than Electron g-2.

Electron g-2 is an almost pure QED system.

photon + electron

§ 2. Theoretical formula for Electron g-2

Perturbation series of the fine structure constant α:

Up to 8 th -order contributions have been analytically and/or numerically known:

TK & MN hep-ph/0507249 PRD73,013003(2005)

★ 8 th -order contribution: uncertainty of UW87 measurement

So, we need the accurate value of A

1

(8) .

★ 10 th -order contribution:

Educated guess |A

1

(10) | < 4.0

P. Mohr and B. Taylor

CODATA 2002 RMP77,1(’05) uncertainty of HV05 measurement

The error will be cut down by a factor 3 in a few years.

We want the value A

1

(10) !

not necessary to be very accurate.

Theoretical prediction of electron g-2: need the fine structure constant value

Cs atomic recoil expt.

S. Chu et al. 2001

8 th 10 th α

Difference between experiment and theory: expt theory

Need more precise value of the fine structure constant α.

The world-best value of the fine structure constant from the electron g-2 obtain α

Preliminary! Please do not quote it.

Various determination of the fine structure constant.

They must coincide if our understanding of physics is correct.

§ 3. 10

th

-order term

12672 diagrams are divided into 5 groups. They are further divided into 32 gauge invariant sets:

# of sets # of FD

I . 2 nd order photon correction+vp’s 10 208

II . 4 th order photon correction+vp’s 6 600 and/or light-by-light

III . 6 th order photon correction+vp’s 3 1140 or light-by-light

IV.

8 th order photon correction+vp’s 1 2072

V.

10 th -order without fermion loop 1 6354

VI.

(external) light-by-light 11 2298

The leading contribution to muon g-2 is reported by T. Kinoshita and MN hep-ph/0512330 to appear PRD

set I set II set III

208 diagrams 600 diagrams 1140 diagrams set IV set V set VI

2072 diagrams 6354 diagrams 2298 diagrams

None of them dominates.

Need to evaluate ALL 12672 diagrams.

Set V:

6354

diagrams w/o fermion loop

The most difficult set among 6 sets.

★ # of diagrams are many..!

Amalgamate the Ward-Takahashi related diagrams:

6354  6354 / 9 = 706

Time reversal symmetry:

706  389 independent self-energy like diagrams

6354 diagrams form one gauge invariant set.

need to calculate all 389 to get a physical number.

389 self-energy like diagrams

★ Renormalization structure is very complicated.

Calculation by hand with no mistake seems impossible.

An automation scheme is desired !

X-Project : automatic code generation

T. Aoyama , M. Hayakawa, T. Kinoshita, and MN hep-ph/0512288 to appear Nucl. Phys. B

★ input: A diagram name which specifies the sequence of vertices. eg. X001 abacbdcede

{(1,3)(2,5)(4,7)(6,9)(8,10)}

★ output: FORTRAN code ready to numerical integration including UV renormalization terms.

IR div. is handled by a finite photon mass.

Diagram w/o fermion loop

Its specific properties enable us to automate the code generation:

1. A ll lepton propagators form a single path.

2. All vertices lie on the lepton path.

3. Photon propagators contract pair of vertices . not 1PI

{(1,3) (2,4)} {(1,4)(2,3)} {(1,2)(3,4)}

The contraction pattern is only the input information.

Everything about a diagram is contained in this pattern.

Evaluating a diagram:

★ Amplitude is expressed in terms of the function of Feynman parameters U, B ij

, A i

, and V.

z a z b z

1 z

2 z

Feynman parameters: a parameter z i

( 0<z i

<1) assigned to each fermion/photon line “i”.

B ij

( z i

) : “correlation” between loop momenta “I” and “j” .

determined solely by the topology of a diagram.

U(z i

): Jacob determinant from the momentum space to the Feynman parameter space.

A ij

(z i

): Related to flow of external momenta.

Once B ij is obtained, one can construct U and A i

, then V.

★ Construct UV subtraction terms:

1. List up all UV divergent sub diagrams.

self-energy sub-diagram vertex sub-diagram

Identification is easy for a setV diagarm.

2. Construct Zimmerman’s Forests for renormalization.

eg. M4a abab sub-diagram: 2 g1= aba, g2=bab

Forests: 2 Forest1(g1), Forest2(g2)

3. Perform K-operation for the amplitude, B ij

, U, V, and A i

.

Power counting limit of the Feynman parameters.

Forest 1 (g1): K12 operation z1  0, z2  0, za  0 za z1 zb

Perl

Perl

Maple

FORM

Shell Script

Perl

Code generation is on a HP α machine:

~5min. for one code generation.

A few day for all 389 diagrams

Fortran codes consist of more than 80,000 lines.

13dim. integration by VEGAS adaptive iterative Monte Carlo integration

One diagram evaluation:

10 7 sampling points with 20 iteration

5-7 hours on the Xeon 32 CPU PC cluster

Need 10 8 pts × 100 it to reach the desired precision.

A few month to complete one diagram.

We wish to evaluate 389 diagrams…

The numerical calculation has been carried on

R iken S uper C ombined

C luster System .

Linux PC cluster system.

2048 cpu 12.4 TFlops.

operation started April 2005.

RICH experimental data analysis

BIO information server

We use 500~700 CPU everyday.

A Peta-flops computer will be introduced as a national project in 2010  京速コンピュータ開発プロジェクト(準備室@RIKEN)

Diagrams with vertex corrections only. No IR divergence.

Diagrams including a self-energy sub diagram is currently being evaluated.

* IR divergence is handled by a finite photon mass.

Can we really get a correct answer with a finite photon mass calculation ?

* 6 th -order test has been done.

Yes, we can.

* 8 th -order test is now going on.

Need to understand the IR structure more.

What to do next:

Need to automate construction of IR subtraction terms to realize the zero photon mass limit.

 in progress

Need to automate calculation of the residual renormalization .

K-operation does not generate the On-Shell renormalization constants.

 in progress

Extend our code generation to diagrams w/ fermion loop

 not yet done

Remarks:

We will get the first number of the 10 th order term from 12672 diagrams in a few years.

With a few % uncertainty.

The precise number of the 10 th -order term will be evaluated on a super-computer in the next generation, 京速計算機 .

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