Work

MadStree: automated evaluation of tree-level de Sitter correlators

Year: 2026

Type: preprint

Abstract: We first derived the formulae of recursive reduction and dlog-form differential equations for arbitrary tree-level cosmological correlator, taking the external relations of massless bulk propagators into consideration. The differential equations could be systematically solved and provide the efficient evaluation of them. We have implemented this methodology as a user-friendly Mathematica package MadStree for computing arbitrary tree-level cosmological correlators.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2610.28526

Authors: Chen, Jiaqi, Tao, Yi-Xiao, Wang, Xinyi, Zhang, Dong

Institutions: China University of Petroleum, Beijing, Lomonosov Moscow State University, Tsinghua University, Changchun University of Science and Technology, Tianjin University

Language: English

Topic: Cosmology and Gravitation Theories

Subfield: Astronomy and Astrophysics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Science Foundation of China University of Petroleum, Beijing

Awards: G2930580908, G4057808474, G4744782878

OpenAlex ID: W7223134572

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