Negative Dimensional Integration: "Lab Testing" at Two Loops
arXiv:hep-th/9709024 · doi:10.1088/1126-6708/1997/09/002
Abstract
Negative dimensional integration method (NDIM) is a technique to deal with D-dimensional Feynman loop integrals. Since most of the physical quantities in perturbative Quantum Field Theory (pQFT) require the ability of solving them, the quicker and easier the method to evaluate them the better. The NDIM is a novel and promising technique, ipso facto requiring that we put it to test in different contexts and situations and compare the results it yields with those that we already know by other well-established methods. It is in this perspective that we consider here the calculation of an on-shell two-loop three point function in a massless theory. Surprisingly this approach provides twelve non-trivial results in terms of double power series. More astonishing than this is the fact that we can show these twelve solutions to be different representations for the same well-known single result obtained via other methods. It really comes to us as a surprise that the solution for the particular integral we are dealing with is twelvefold degenerate.
10 pages, LaTeX2e, uses style jhep.cls (included)
Cited by in corpus (10)
- Scalar One-Loop Integrals using the Negative-Dimension Approach
- Application of the negative-dimension approach to massless scalar box integrals
- Optimized Negative Dimensional Integration Method (NDIM) and multiloop Feynman diagram calculation
- On-shell two-loop three-gluon vertex
- Probing negative dimensional integration: two-loop covariant vertex and one-loop light-cone integrals
- Modular application of an Integration by Fractional Expansion (IBFE) method to multiloop Feynman diagrams
- An easy way to solve two-loop vertex integrals
- Analytic expressions for Debye functions and the heat capacity of a solid
- NDIM achievements: Massive, Arbitrary tensor rank and N-loop insertions in Feynman integrals
- Feynman Diagrams and a Combination of the Integration by Parts (IBP) and the Integration by Fractional Expansion (IBFE) Techniques