1997
DOI: 10.1016/s0550-3213(97)00268-x
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One-loop tensor integrals in dimensional regularisation

Abstract: We show how to evaluate tensor one-loop integrals in momentum space avoiding the usual plague of Gram determinants. We do this by constructing combinations of nand (n − 1)-point scalar integrals that are finite in the limit of vanishing Gram determinant. These non-trivial combinations of dilogarithms, logarithms and constants are systematically obtained by either differentiating with respect to the external parameters -essentially yielding scalar integrals with Feynman parameters in the numerator -or by develo… Show more

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Cited by 78 publications
(86 citation statements)
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References 26 publications
(55 reference statements)
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“…In section 3 we derive our tensor reduction formalism which combines Passarino-Veltman-like methods with Feynman parameter space techniques. We prove that for generic 4-dimensional kinematics all higher dimensional N -point functions drop out for arbitrary N ≥ 5 and generalize the reduction methods of [3,17] to arbitrary N . We construct a hierarchy of tensor formulas up to N = 6 and rank ≤ N which can be solved by iteration.…”
Section: Introductionmentioning
confidence: 81%
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“…In section 3 we derive our tensor reduction formalism which combines Passarino-Veltman-like methods with Feynman parameter space techniques. We prove that for generic 4-dimensional kinematics all higher dimensional N -point functions drop out for arbitrary N ≥ 5 and generalize the reduction methods of [3,17] to arbitrary N . We construct a hierarchy of tensor formulas up to N = 6 and rank ≤ N which can be solved by iteration.…”
Section: Introductionmentioning
confidence: 81%
“…Although it is well known [3,12,17] that the N -point integral can be split into a finite, (6 − 2 )-dimensional integral and a part with less external legs containing the infrared poles, we want to present our derivation which later allows to deal with the problem of vanishing Gram determinants in a transparent manner. As an ansatz we write (1) as a sum of (one-propagator) reduced diagrams and a remainder.…”
Section: Derivationmentioning
confidence: 99%
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