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Snowmass White Paper: The Cosmological Bootstrap
by Daniel Baumann, Daniel Green, Austin Joyce, Enrico Pajer, Guilherme L. Pimentel, Charlotte Sleight, Massimo Taronna
Submission summary
| Authors (as registered SciPost users): | Guilherme L. Pimentel |
| Submission information | |
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| Preprint Link: | https://arxiv.org/abs/2203.08121v1 (pdf) |
| Date accepted: | 2024-07-17 |
| Date submitted: | 2024-05-28 21:51 |
| Submitted by: | L. Pimentel, Guilherme |
| Submitted to: | SciPost Physics Community Reports |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approach: | Theoretical |
Abstract
This white paper summarizes recent progress in the cosmological bootstrap, an approach to the study of the statistics of primordial fluctuations from consistency with unitarity, locality and symmetry assumptions. We review the key ideas of the bootstrap method, with an eye towards future directions and ambitions of the program. Focusing on recent progress involving de Sitter and quasi-de Sitter backgrounds, we highlight the role of singularities and unitarity in constraining the form of the correlators. We also discuss nonperturbative formulations of the bootstrap, connections to anti-de Sitter space, and potential implications for holography.
Current status:
Editorial decision:
For Journal SciPost Physics Community Reports: Publish
(status: Editorial decision fixed and (if required) accepted by authors)
Reports on this Submission
Report 1 by Zhong-Zhi Xianyu on 2024-7-14 (Invited Report)
Report
The study of cosmological correlators has attracted much attention recently. This white paper did a great job of reviewing the status of this direction up to 2022. Although not all aspects are equally covered, the paper explains very clearly the core ideas of cosmological bootstrap, including its basic strategies, existing achievements, and future directions. Since its appearance as a preprint on arXiv, this paper has been and will continue to be a useful reference for experts and non-experts. I am happy to recommend the paper for publication in its current version.
Recommendation
Publish (easily meets expectations and criteria for this Journal; among top 50%)