Pith. sign in

REVIEW 2 cited by

Solving arbitrary one-loop reduction via generating function

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2404.04644 v4 pith:PCZNOKUV submitted 2024-04-06 hep-ph

classification hep-ph
keywords generatinghigher-polefunctionreductionone-loopparttensorarbitrary
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Recently, the concept of generating function has been employed in one-loop reduction. For one-loop integrals encompassing arbitrary tensor ranks and higher-pole contributions, the generating function can be decomposed into a tensor part and a higher-pole part. While the tensor component has been thoroughly addressed in recent studies, there remains a lack of satisfactory investigations regarding the higher-pole part. In this work, we completely solve the problem. We first establish the partial differential equations governing the higher-pole generating function. Based on these equations, we derive an integration recursion relation and solve it iteratively. This approach enables us to explore the analytical structure of higher-pole reduction and provides a valuable tool for generating reduction coefficients efficiently.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Tensor Reduction of Sunset by Generating Function

    hep-th 2025-09 conditional novelty 6.0 of 10

    A complete set of recurrence relations is derived to reduce any tensor integral of the sunset diagram to seven master integrals, using generating functions supplemented by syzygy equations.

  2. Direct Expression for One-Loop Tensor Reduction with Lorentz Indices via Generating Function

    hep-th 2025-01 conditional novelty 5.0 of 10

    A rational, recursion-free expression for one-loop tensor reduction coefficients with Lorentz indices is given, built from a small set of tensor building blocks.

Pith tools