Dispersive Bootstrap of Massive Inflation Correlators
Haoyuan Liu, Zhehan Qin, Zhong-Zhi Xianyu

TL;DR
This paper introduces a novel bootstrap approach using dispersion relations to analytically compute massive inflation correlators, simplifying complex loop calculations and revealing an unambiguous, divergence-free background component.
Contribution
It develops a new dispersion relation bootstrap method for inflation correlators with massive exchanges, enabling analytical results from oscillatory signals and simplifying loop diagram computations.
Findings
Derived analytical expressions for massive correlators
Established vertex and line dispersion relations
Identified an unambiguous, UV-finite background in loop correlators
Abstract
Inflation correlators with massive exchanges are central observables of cosmological collider physics, and are also important theoretical data for us to better understand quantum field theories in dS. However, they are difficult to compute directly due to many technical complications of the Schwinger-Keldysh integral. In this work, we initiate a new bootstrap program for massive inflation correlators with dispersion relations on complex momentum planes. We classify kinematic variables of a correlator into vertex energies and line energies, and develop two distinct types of dispersion relations for both of them, respectively called vertex dispersion and line dispersion relations. These dispersion methods allow us to obtain full analytical results of massive correlators from a knowledge of their oscillatory signals alone, while the oscillatory signal at the tree level can be related to…
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Taxonomy
TopicsHydrological Forecasting Using AI · Data Analysis with R
