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From Tensor Integral to IBP Mohammad Assadsolimani, in collaboration with P. Kant, B. Tausk and P.Uwer 11. Sep. 2012 Mohammad Assadsolimani From Tensor Integral to IBP 1
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Page 1: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

From Tensor Integral to IBP

Mohammad Assadsolimani,

in collaboration with

P. Kant, B. Tausk and P. Uwer

11. Sep. 2012

Mohammad Assadsolimani From Tensor Integral to IBP 1

Page 2: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Contents

Motivation

NNLO

Tensor Integral

Tarasov’s method

Projection method

Applications

Heavy Quark Form Factors

Single Top Quark Production

Conclusions

Mohammad Assadsolimani From Tensor Integral to IBP 2

Page 3: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Multi loop calculation

Multi loop calculation

More precision in calculated results

Mohammad Assadsolimani From Tensor Integral to IBP 3

Page 4: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

More precision

Ex.: Total cross section for Higgs production in gluon fusion

10-3

10-2

10-1

1

100 120 140 160 180 200 220 240 260 280 300

σ(pp →H+X) [pb]

MH [GeV]

LONLONNLO

√s = 2 TeV

1

10

100 120 140 160 180 200 220 240 260 280 300

σ(pp→H+X) [pb]

MH [GeV]

LONLONNLO

√s = 14 TeV

[R. Harlander, W. Kilgore Nov. ’02]

Perturbative convergence LO → NLO(≈ 70%) and

NLO → NNLO(≈ 30%)

Mohammad Assadsolimani From Tensor Integral to IBP 4

Page 5: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Multi loop calculation

Multi loop calculation

More precision in calculated results

New effects

Mohammad Assadsolimani From Tensor Integral to IBP 5

Page 6: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

New effects

Ex.: forward–backward charge asymmetry of the top quark

LO (CTEQ6L1)NLO (CTEQ6M)

pT,jet > 20GeV

√s = 1.96TeV

pp → tt+jet+X

µ/mt

σ[pb]

1010.1

6

5

4

3

2

1

0

LO (CTEQ6L1)NLO (CTEQ6M)

pT,jet > 20GeV

√s = 1.96TeV

pp → tt+jet+X

µ/mt

AtFB

1010.1

0.04

0.02

0

−0.02

−0.04

−0.06

−0.08

−0.1

−0.12

[S. Dittmaier, P. Uwer , S. Weinzierl Apr. ’08]

Mohammad Assadsolimani From Tensor Integral to IBP 6

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Multi loop calculation

Multi loop calculation

More precision in calculated results

New effects

Exact NLO or NNLO calculations of σhard needed because of:

Mohammad Assadsolimani From Tensor Integral to IBP 7

Page 8: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Multi loop calculation

Multi loop calculation

More precision in calculated results

New effects

Exact NLO or NNLO calculations of σhard needed because of:

Accurate and reliable predictions of parton–level

observables.

Mohammad Assadsolimani From Tensor Integral to IBP 7

Page 9: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Multi loop calculation

Multi loop calculation

More precision in calculated results

New effects

Exact NLO or NNLO calculations of σhard needed because of:

Accurate and reliable predictions of parton–level

observables.

Backgrounds for New Physics Searches

Mohammad Assadsolimani From Tensor Integral to IBP 7

Page 10: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO

When do we need NNLO?

When NLO corrections are large

Mohammad Assadsolimani From Tensor Integral to IBP 8

Page 11: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO

When do we need NNLO?

When NLO corrections are large

When truly high precision is needed

Mohammad Assadsolimani From Tensor Integral to IBP 8

Page 12: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO

When do we need NNLO?

When NLO corrections are large

When truly high precision is needed

When the precision of NLO–calculation has to be verified

Mohammad Assadsolimani From Tensor Integral to IBP 8

Page 13: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO

When do we need NNLO?

When NLO corrections are large

When truly high precision is needed

When the precision of NLO–calculation has to be verified

For instance single top quark production :

Mohammad Assadsolimani From Tensor Integral to IBP 8

Page 14: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO Single Top Quark Production

Single top quark production

Process√S σLO(pb) σNLO (pb)

t–channel 2.0 TeV pp 1.068 1.062

14.0 TeV pp 152.7 155.9

[B.Harris, E. Laenen, L.Phaf, Z. Sullivan, S. Weinzierl ’02]

Mohammad Assadsolimani From Tensor Integral to IBP 9

Page 15: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO Single Top Quark Production

Single top quark production

Process√S σLO(pb) σNLO (pb)

t–channel 2.0 TeV pp 1.068 1.062

14.0 TeV pp 152.7 155.9

[B.Harris, E. Laenen, L.Phaf, Z. Sullivan, S. Weinzierl ’02]

No colour exchange at NLO:

W W

Only vertex corrections contribute:

W

Mohammad Assadsolimani From Tensor Integral to IBP 9

Page 16: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO Single Top Quark Production

Single top quark production

Process√S σLO(pb) σNLO (pb)

t–channel 2.0 TeV pp 1.068 1.062

14.0 TeV pp 152.7 155.9

[B.Harris, E. Laenen, L.Phaf, Z. Sullivan, S. Weinzierl ’02]

No colour exchange at NLO:

W W

Only vertex corrections contribute:

W

Colour exchange at NNLO:

W W 0

W0W

Mohammad Assadsolimani From Tensor Integral to IBP 9

Page 17: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

NNLO Single Top Quark Production

The true uncertainty due to missing higher order correction may

be greater because new colour exchange diagrams first

contribute at NNLO.

A significant effect on kinematical distributions

Important for studies of the V–A structure

Source of polarised top quarks

Access to the b quark pdfs

· · ·

Mohammad Assadsolimani From Tensor Integral to IBP 10

Page 18: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tensor integral

In the NNLO–corrections occur tensor integrals:

I(d , a1, · · · , an)[1,kµ1 ,kν2 ,··· ] =

ddk1

ddk2

∏ij k

µi

1 kνj

2

Pa11 · · ·Pan

n

Possibilities to reduce tensor integrals to scalar integrals:

Mohammad Assadsolimani From Tensor Integral to IBP 11

Page 19: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tensor integral

In the NNLO–corrections occur tensor integrals:

I(d , a1, · · · , an)[1,kµ1 ,kν2 ,··· ] =

ddk1

ddk2

∏ij k

µi

1 kνj

2

Pa11 · · ·Pan

n

Possibilities to reduce tensor integrals to scalar integrals:

By Schwinger parametrization

[O. V. Tarasov, Phys. Rev.’96, Nucl. Phys. ’81]

By projection method

[T. Binoth, E.W.N. Glover, P. Marquard and J.J. van der Bij ’02; E.W.N. Glover ’04]

Mohammad Assadsolimani From Tensor Integral to IBP 11

Page 20: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tensor integral

In the NNLO–corrections occur tensor integrals:

I(d , a1, · · · , an)[1,kµ1 ,kν2 ,··· ] =

ddk1

ddk2

∏ij k

µi

1 kνj

2

Pa11 · · ·Pan

n

Possibilities to reduce tensor integrals to scalar integrals:

By Schwinger parametrization

[O. V. Tarasov, Phys. Rev.’96, Nucl. Phys. ’81]

By projection method

[T. Binoth, E.W.N. Glover, P. Marquard and J.J. van der Bij ’02; E.W.N. Glover ’04]

Tensor reduction ⇒ various scalar integrals with the same structure

of the integrand with different powers of propagators

Mohammad Assadsolimani From Tensor Integral to IBP 11

Page 21: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Integration by Parts

Possible approaches:

Mohammad Assadsolimani From Tensor Integral to IBP 12

Page 22: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Integration by Parts

Possible approaches:

solve each integral individually,

Mohammad Assadsolimani From Tensor Integral to IBP 12

Page 23: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Integration by Parts

Possible approaches:

solve each integral individually,

express all scalar integrals as a linear combination of some

basic master integrals, Integration by parts (IBP).

[Chetyrkin, Tkachov ’81]

Mohammad Assadsolimani From Tensor Integral to IBP 12

Page 24: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Integration by Parts

Possible approaches:

solve each integral individually,

express all scalar integrals as a linear combination of some

basic master integrals, Integration by parts (IBP).

[Chetyrkin, Tkachov ’81]

Reduction techniques:

Mohammad Assadsolimani From Tensor Integral to IBP 12

Page 25: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Integration by Parts

Possible approaches:

solve each integral individually,

express all scalar integrals as a linear combination of some

basic master integrals, Integration by parts (IBP).

[Chetyrkin, Tkachov ’81]

Reduction techniques:

Laporta: efficient algorithm to solve linear system of

IBP–Identities

Mohammad Assadsolimani From Tensor Integral to IBP 12

Page 26: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Integration by Parts

Possible approaches:

solve each integral individually,

express all scalar integrals as a linear combination of some

basic master integrals, Integration by parts (IBP).

[Chetyrkin, Tkachov ’81]

Reduction techniques:

Laporta: efficient algorithm to solve linear system of

IBP–Identities

AIR [Anastasiou, Lazopoulos ’04]

FIRE [Smirnov ’08]

Crusher [Marquard, Seidel (to be published)]

REDUZE 1&2 [Studerus ’09; Manteuffel, Studerus ’12]

Mohammad Assadsolimani From Tensor Integral to IBP 12

Page 27: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method

Tensor reduction leads to a very large number of scalar integrals

which are shifted in dimension and have other powers of propagators

I(d , a1, · · · , an)[kµ1 kν2 ,··· ] → gµν∑

i

I(d + xi , ai1, · · · , a

in)[1]

Example for two loop corrections to Axial Vector Form Factors

I(d , 1, 1, 1, 1, 1, 1)[1,kµ11 k

µ21 k

ν12 k

ν22 ] → I(2+ d , 2, 1, 1, 1, 1, 2)+

· · · + I(4+ d , 1, 1, 1, 2, 3, 1) + · · · + I(8+ d , 3, 3, 3, 2, 1, 2)

Mohammad Assadsolimani From Tensor Integral to IBP 13

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Tarasov’s method

Shift in the dimension

Mohammad Assadsolimani From Tensor Integral to IBP 14

Page 29: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method

Shift in the dimension

An arbitrary scalar Feynman integral:

I(d)({si },{m2s })∝

∏Nj=1 cj

∫∞0· · ·

∫∞0

dαjαaj−1

j

[D(α)]d2

ei

[

Q({si },α)

D(α)−∑N

l=1αl (m

2l−iǫ)

]

Mohammad Assadsolimani From Tensor Integral to IBP 14

Page 30: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method

Shift in the dimension

An arbitrary scalar Feynman integral:

I(d)({si },{m2s })∝

∏Nj=1 cj

∫∞0· · ·

∫∞0

dαjαaj−1

j

[D(α)]d2

ei

[

Q({si },α)

D(α)−∑N

l=1αl (m

2l−iǫ)

]

Mohammad Assadsolimani From Tensor Integral to IBP 14

Page 31: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method

Shift in the dimension

An arbitrary scalar Feynman integral:

I(d)({si },{m2s })∝

∏Nj=1 cj

∫∞0· · ·

∫∞0

dαjαaj−1

j

[D(α)]d2

ei

[

Q({si },α)

D(α)−∑N

l=1αl (m

2l−iǫ)

]

D(

∂∂m2

j

)

(polynomial differential operator) obtained from D(α) by

substituting αi → ∂j ≡ ∂/∂m2j . The application of D(∂i ) to the

scalar integral:

I(d−2)({si }, {m2s }) ∝ D(∂j) I(d)({si }, {m

2s }),

Mohammad Assadsolimani From Tensor Integral to IBP 14

Page 32: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method

Shift in the dimension

An arbitrary scalar Feynman integral:

I(d)({si },{m2s })∝

∏Nj=1 cj

∫∞0· · ·

∫∞0

dαjαaj−1

j

[D(α)]d2

ei

[

Q({si },α)

D(α)−∑N

l=1αl (m

2l−iǫ)

]

D(

∂∂m2

j

)

(polynomial differential operator) obtained from D(α) by

substituting αi → ∂j ≡ ∂/∂m2j . The application of D(∂i ) to the

scalar integral:

I(d−2)({si }, {m2s }) ∝ D(∂j) I(d)({si }, {m

2s }),

apply this to master integrals

Imaster (d − 2, a1, · · · , an) =∑

i

ciI(d , ai1, · · · , a

in),

Mohammad Assadsolimani From Tensor Integral to IBP 14

Page 33: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method

all scalar integrals in rhs. of that equation have to be replaced by

master integrals.

i.e.

Imaster (d − 2, a1, · · · , an) =∑

j

DjImaster (d , aj1, · · · , a

jn),

Mohammad Assadsolimani From Tensor Integral to IBP 15

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Tarasov’s method

all scalar integrals in rhs. of that equation have to be replaced by

master integrals.

i.e.

Imaster (d − 2, a1, · · · , an) =∑

j

DjImaster (d , aj1, · · · , a

jn),

we have for all master integrals:

Id−21...

Id−2l

master

= Dll ·

Id1...

Idl

master

where l is the number of master integrals.

Mohammad Assadsolimani From Tensor Integral to IBP 15

Page 35: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Projection method

By this method we get scalar products between loop momenta and

external momenta and no shift in the dimension of integrals

I(d , a1, · · · , an)[1,kµ1 ,kµ2 ,··· ] → gµν

ij

I(d , a1, · · · , an)[1]kipj

Example for two loop corrections to Axial Vector Form Factors

I(d , 1, 1, 1, 1, 1, 1)[1,kµ11 k

µ21 k

ν12 k

ν22 ] → I(d ,−2, 1, 1, 1, 1, 1) + · · ·

+I(d ,−1, 0, 1, 1, 1, 1) + · · · + I(d , 0, 1, 1, 1,−2,−2)

Mohammad Assadsolimani From Tensor Integral to IBP 16

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Projection method

The general tensor structure for the amplitude A:

A =

n∑

i=1

Bi(t, u, s)Si ,

where t, u and s are the Mandelstam variables and Si are the Dirac

structures.

Projectors for the tensor coefficients:

S†j A =

n∑

i=1

Bi(t, u, s)(

S†j Si

︸︷︷︸Mji

)

⇒ Bi(t, u, s) =∑

i

M−1ij

(

S†j A)

Mohammad Assadsolimani From Tensor Integral to IBP 17

Page 37: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Projection method

The general tensor structure for the amplitude A:

A =

n∑

i=1

Bi(t, u, s)Si ,

where t, u and s are the Mandelstam variables and Si are the Dirac

structures.

Projectors for the tensor coefficients:

S†j A =

n∑

i=1

Bi(t, u, s)(

S†j Si

︸︷︷︸Mji

)

⇒ Bi(t, u, s) =∑

i

M−1ij

(

S†j A)

essential for this method : to be able to calculate the inverse matrix

M−1ij

Mohammad Assadsolimani From Tensor Integral to IBP 17

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Tarasov’s method vs. Projection method

Tarasov’s method

Positive powers for propagators (the sum of the powers of all

propagators is large )

Calculate the inverse matrix in order to shift back the dimension

Mohammad Assadsolimani From Tensor Integral to IBP 18

Page 39: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method vs. Projection method

Tarasov’s method

Positive powers for propagators (the sum of the powers of all

propagators is large )

Calculate the inverse matrix in order to shift back the dimension

Projection method

Negative powers for propagators

Calculate the inverse matrix for the projector coefficients

Mohammad Assadsolimani From Tensor Integral to IBP 18

Page 40: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Tarasov’s method vs. Projection method

Tarasov’s method

Positive powers for propagators (the sum of the powers of all

propagators is large )

Calculate the inverse matrix in order to shift back the dimension

Projection method

Negative powers for propagators

Calculate the inverse matrix for the projector coefficients

Mohammad Assadsolimani From Tensor Integral to IBP 18

Page 41: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to Heavy Quark Form Factors

We implemented both methods to calculate the two loop corrections to

Heavy Quark Vector and axial Vector Form Factors:

[W. Bernreuther,R. Bonciani, T. Gehrmann, R. Heinesch, T. Leineweber, P. Mastrolia, E. Remiddi ’04]

[J. Gluza, A. Mitov, S. Moch, T. Riemann ’09 ]

Mohammad Assadsolimani From Tensor Integral to IBP 19

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Two loop corrections to Heavy Quark Form Factors

q1

p2

Mohammad Assadsolimani From Tensor Integral to IBP 20

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Two loop corrections to Heavy Quark Form Factors

q1

p2

There are 6 Dirac structures

(Heavy Quark Vector and axial Vector

Form Factors):S1 = u(q1)(1+ γ5)u(p2)p

µ2

S2 = u(q1)(1− γ5)u(p2)pµ2

S3 = u(q1)(1+ γ5)u(p2)qµ1

S4 = u(q1)(1− γ5)u(p2)qµ1

S5 = u(q1)(1+ γ5)γµu(p2)

S6 = u(q1)(1− γ5)γµu(p2)

Mohammad Assadsolimani From Tensor Integral to IBP 20

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Two loop corrections to Heavy Quark Form Factors

q1

p2

There are 6 Dirac structures

(Heavy Quark Vector and axial Vector

Form Factors):S1 = u(q1)(1+ γ5)u(p2)p

µ2

S2 = u(q1)(1− γ5)u(p2)pµ2

S3 = u(q1)(1+ γ5)u(p2)qµ1

S4 = u(q1)(1− γ5)u(p2)qµ1

S5 = u(q1)(1+ γ5)γµu(p2)

S6 = u(q1)(1− γ5)γµu(p2)

Projection Tarasov

number of integrals 564 671

max sum of powers

of propagators 6 14

max sum of negative

powers of propagators 4 0

reduction time 7500 s 433260 s

Mohammad Assadsolimani From Tensor Integral to IBP 20

Page 45: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to Heavy Quark Form Factors

q1

p2

There are 6 Dirac structures

(Heavy Quark Vector and axial Vector

Form Factors):S1 = u(q1)(1+ γ5)u(p2)p

µ2

S2 = u(q1)(1− γ5)u(p2)pµ2

S3 = u(q1)(1+ γ5)u(p2)qµ1

S4 = u(q1)(1− γ5)u(p2)qµ1

S5 = u(q1)(1+ γ5)γµu(p2)

S6 = u(q1)(1− γ5)γµu(p2)

Projection Tarasov

number of integrals 564 671

max sum of powers

of propagators 6 14

max sum of negative

powers of propagators 4 0

reduction time 7500 s 433260 s

Now one may come to the conclusion:

Mohammad Assadsolimani From Tensor Integral to IBP 20

Page 46: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to Heavy Quark Form Factors

q1

p2

There are 6 Dirac structures

(Heavy Quark Vector and axial Vector

Form Factors):S1 = u(q1)(1+ γ5)u(p2)p

µ2

S2 = u(q1)(1− γ5)u(p2)pµ2

S3 = u(q1)(1+ γ5)u(p2)qµ1

S4 = u(q1)(1− γ5)u(p2)qµ1

S5 = u(q1)(1+ γ5)γµu(p2)

S6 = u(q1)(1− γ5)γµu(p2)

Projection Tarasov

number of integrals 564 671

max sum of powers

of propagators 6 14

max sum of negative

powers of propagators 4 0

reduction time 7500 s 433260 s

Now one may come to the conclusion:

⇒ projection method is an alternative

method for the multi loop calculation!

Mohammad Assadsolimani From Tensor Integral to IBP 20

Page 47: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to Heavy Quark Form Factors

q1

p2

There are 6 Dirac structures

(Heavy Quark Vector and axial Vector

Form Factors):S1 = u(q1)(1+ γ5)u(p2)p

µ2

S2 = u(q1)(1− γ5)u(p2)pµ2

S3 = u(q1)(1+ γ5)u(p2)qµ1

S4 = u(q1)(1− γ5)u(p2)qµ1

S5 = u(q1)(1+ γ5)γµu(p2)

S6 = u(q1)(1− γ5)γµu(p2)

Projection Tarasov

number of integrals 564 671

max sum of powers

of propagators 6 14

max sum of negative

powers of propagators 4 0

reduction time 7500 s 433260 s

Now one may come to the conclusion:

⇒ projection method is an alternative

method for the multi loop calculation!

but · · ·

Mohammad Assadsolimani From Tensor Integral to IBP 20

Page 48: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

There are three topological families:

t

W

t t

W W

Mohammad Assadsolimani From Tensor Integral to IBP 21

Page 49: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

There are three topological families:

t

W

t t

W W

and 11 Dirac structures:S1 = u(q1) γ7 u(p2)u(q2) γ6γq1 u(p1)

S2 = u(q1) γ6γp1 u(p2)u(q2) γ6γq1 u(p1)

S3 = u(q1) γ6γµ1u(p2)u(q2) γ6γµ1

u(p1)

S4 = u(q1) γ7γµ1γp1 u(p2)u(q2) γ6γµ1

u(p1)

S5 = u(q1) γ7γµ1γµ2

u(p2)u(q2) γ6γµ1γµ2

γq1 u(p1)

S6 = u(q1) γ6γµ1γµ2

γp1 u(p2)u(q2) γ6γµ1γµ2

γq1 u(p1)

S7 = u(q1) γ6γµ1γµ2

γµ3u(p2)u(q2) γ6γµ1

γµ2γµ3

u(p1)

S8 = u(q1) γ7γµ1γµ2

γµ3γp1 u(p2)u(q2) γ6γµ1

γµ2γµ3

u(p1)

S9 = u(q1) γ7γµ1γµ2

γµ3γµ4

u(p2)u(q2) γ6γµ1γµ2

γµ3γµ4

γq1 u(p1)

S10 = u(q1) γ6γµ1γµ2

γµ3γµ4

γp1 u(p2)u(q2) γ6γµ1γµ2

γµ3γµ4

γq1 u(p1)

S11 = u(q1) γ6γµ1γµ2

γµ3γµ4

γµ5u(p2)u(q2) γ6γµ1

γµ2γµ3

γµ4γµ5

u(p1)

Mohammad Assadsolimani From Tensor Integral to IBP 21

Page 50: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods

Mohammad Assadsolimani From Tensor Integral to IBP 22

Page 51: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Vertex corrections

+ +

=

[

N2CTC

Fg4s

{

S1

[

1

m5t

−8−11t +t2

2ǫ(t −1)3−

−71−275t +44t2

12(t −1)3+O(ǫ)

44t

3m3t (t −1)3

+O(ǫ)

2nf3m3

t (t −1)+O(ǫ)

+

1

m3t

−−8−11t +t2

3ǫ(t −1)3+

−103−226t +41t2

18(t −1)3+O(ǫ)

+

2nf3mt (t −1)

+O(ǫ)

+

12t

mt (t −1)3+O(ǫ)

(

2mt (t +1)

3(t−1)+O(ǫ)

) ]

+S3

[

1

m4t

−11+12t +13t2

24ǫ(t −1)2+

−72+169t −324t2 +303t3 +76t4 −24t5

72(t −1)3t+O(ǫ)

+1

m2t

(

23ǫ

−46+28t

9t+O(ǫ)

)

+1

m2t

2t3ǫ(t −1)

+2t(1+5t −14t2)

9(t −1)3+O(ǫ)

+1

m2t

nf(5−19t)

36(t −1)−

nf(t +1)

6ǫ(t −1)+O(ǫ)

+1

m2t

5t2 +12t +19

36ǫ(t −1)2+

29t2 −86t −87

72(t −1)2+O(ǫ)

+(

−nf /9+nf /(3ǫ)+O(ǫ))

+

nft

3ǫ(t −1)−

nf(3+t)

9(t −1)+O(ǫ)

+(

2/t −t/3+O(ǫ))

+

(1+3t +3t2 −t3)

3(t −1)2+O(ǫ)

m2t (3t2 +19t +28)

9+O(ǫ)

m2t t(3t

2 +4t +1)

9(t −1)+O(ǫ)

]}

+N2CC2F

{

· · ·

}

+N2CCF CA

{

· · ·

}]1

m2t

(

t −m2W

)

Mohammad Assadsolimani From Tensor Integral to IBP 23

Page 52: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods X

Mohammad Assadsolimani From Tensor Integral to IBP 24

Page 53: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods X

Planar double boxes : projection method

Mohammad Assadsolimani From Tensor Integral to IBP 24

Page 54: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods X

Planar double boxes : projection method

problem: build the inverse matrix Mji = S†j Si

Mohammad Assadsolimani From Tensor Integral to IBP 24

Page 55: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods X

Planar double boxes : projection method

problem: build the inverse matrix Mji = S†j Si

try with common computer algebra system, e.g.

Mathematica or Maple

runtime ≈ 1 month with 64GB RAM

Mohammad Assadsolimani From Tensor Integral to IBP 24

Page 56: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods X

Planar double boxes : projection method

problem: build the inverse matrix Mji = S†j Si

try with common computer algebra system, e.g.

Mathematica or Maple

runtime ≈ 1 month with 64GB RAM

We calculated M−1ji and all Planar double boxes diagrams X

Mohammad Assadsolimani From Tensor Integral to IBP 24

Page 57: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Two loop corrections to single Top Quark Production

Vertex corrections: both methods X

Planar double boxes : projection method

problem: build the inverse matrix Mji = S†j Si

try with common computer algebra system, e.g.

Mathematica or Maple

runtime ≈ 1 month with 64GB RAM

We calculated M−1ji and all Planar double boxes diagrams X

Non Planar double boxes: a challenge !

Mohammad Assadsolimani From Tensor Integral to IBP 24

Page 58: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Status of the calculation for single Top Quark Production

Topology # Diagrams reduction performed checks

Vertex corrections 29 X X

Planar double boxes 6 X work in progress

Non Planar double boxes 12 work in progress –

There are two most complicated topologies, which could not be

reduced completely until now :

t

t

t

W

t t

W

t

Mohammad Assadsolimani From Tensor Integral to IBP 25

Page 59: From Tensor Integral to IBP - uni-bielefeld.de · 2012. 9. 11. · [Chetyrkin, Tkachov ’81] Reduction techniques: Laporta: efficient algorithm to solve linear system of IBP–Identities

Conclusions

We have seen two possibilities to reduce tensor integrals to

scalar integrals

The choice of reductions method determines how difficult the

next step (IBP) is

As a test of our setup, we have calculated the O(α2s )

contributions to the Heavy Quark Vector and Axial Vector Form

Factors, confirming the results of Bernreuther et al. and

Gluza et al.

We have also calculated the two loop vertex corrections to single

Top Quark Production

Mohammad Assadsolimani From Tensor Integral to IBP 26


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