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Reduction of one-loop integrals with higher poles by unitarity cut method

High Energy Physics - Theory · Submitted 2 Apr 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim Then by using the unitarity cut method, we can find the wanted reduction coefficients of all basis except the tadpole.

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arXiv ID2104.00922 (version 3)
Pith IDPHUQ7G6B, Pith's permanent record of this paper and its review
CitationBo Feng, Hongbin Wang. "Reduction of one-loop integrals with higher poles by unitarity cut method." arXiv:2104.00922 (2021). https://pith.science/paper/PHUQ7G6B
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,206 input tokens.

What the abstract itself states, as probabilities: claims first 0.06 · states limitation 0.82 · human participants 0.01 · controlled comparison 0.01 · randomized assignment 0.01 · states quantitative result 0.04 · compares with prior results 0.15 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

Unitarity cut method has been proved to be very useful in the computation of one-loop integrals. In this paper, we generalize the method to the situation where the powers of propagators in the denominator are larger than one in general. We show how to use the trick of differentiation over masses to translate the problem to the integrals where all powers are just one. Then by using the unitarity cut method, we can find the wanted reduction coefficients of all basis except the tadpole. Using this method, we calculate the reduction of scalar bubble, scalar triangle, scalar box and scalar pentagon with general power of propagators.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 Unitarity cut method has been proved to be very useful in the computation of one-loop integrals. background 1.00 0.06 0.04 asserted 1.00
s1 In this paper, we generalize the method to the situation where the powers of propagators in the denominator are larger than one in general. contribution 0.99 0.85 0.14 asserted 0.97
s2 We show how to use the trick of differentiation over masses to translate the problem to the integrals where all powers are just one. method 0.98 0.82 0.08 asserted 1.00
s3 Then by using the unitarity cut method, we can find the wanted reduction coefficients of all basis except the tadpole. method 0.55 0.94 0.34 asserted 0.97
s4 Using this method, we calculate the reduction of scalar bubble, scalar triangle, scalar box and scalar pentagon with general power of propagators. result 0.68 0.96 0.31 asserted 1.00

What kind of paper the classifier reports this is: method or tool 0.99 · evidence from proof or derivation 0.97.

What was examined, and what was not

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  • references and citing sentences
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Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

Unitarity cut method has been proved to be very useful in the computation of one-loop integrals. In this paper, we generalize the method to the situation where the powers of propagators in the denominator are larger than one in general. We show how to use the trick of differentiation over masses to translate the problem to the integrals where all powers are just one. Then by using the unitarity cut method, we can find the wanted reduction coefficients of all basis except the tadpole. Using this method, we calculate the reduction of scalar bubble, scalar triangle, scalar box and scalar pentagon with general power of propagators.

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References
How the literature uses it

6 arXiv papers cite this in 10 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 6 sentences without a confident label

Uses its method or tool 2 papers
Cites it as background 2 papers

What it cites · 36 sentences without a confident label

Uses the method or tool of 5 papers

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