期刊
COMPUTER PHYSICS COMMUNICATIONS
卷 266, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.cpc.2021.108024
关键词
Feynman diagrams; Multi-loop Feynman integrals; Dimensional regularization; Laporta algorithm; Modular arithmetic; Computer algebra
资金
- Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [396021762 - TRR 257]
- DFG [386986591]
- European Research Council (ERC) under the European Union [647356]
- Mainz Institute for Theoretical Physics (MITP) of the Cluster of Excellence PRISMA+ [39083149]
- RWTH Aachen University [rwth0541]
- European Research Council (ERC) [647356] Funding Source: European Research Council (ERC)
The new version 2.0 of the Feynman integral reduction program Kira introduces new features such as reconstructing final coefficients, supporting user-provided systems of equations, and parallelization on computer clusters. Benchmark tests show significantly reduced main memory usage and improved performance compared to previous versions of Kira.
We present the new version 2.0 of the Feynman integral reduction program Kira and describe the new features. The primary new feature is the reconstruction of the final coefficients in integration by-parts reductions by means of finite field methods with the help of FireFly. This procedure can be parallelized on computer clusters with MPI. Furthermore, the support for user-provided systems of equations has been significantly improved. This mode provides the flexibility to integrate Kira into projects that employ specialized reduction formulas, direct reduction of amplitudes, or to problems involving linear system of equations not limited to relations among standard Feynman integrals. We show examples from state-of-the-art Feynman integral reduction problems and provide benchmarks of the new features, demonstrating significantly reduced main memory usage and improved performance w.r.t. previous versions of Kira. (C) 2021 Elsevier B.V. All rights reserved.
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