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CosmoFlow: Python Package for Cosmological Correlators

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arxiv 2402.03693 v2 pith:2QR7O5QC submitted 2024-02-06 astro-ph.CO gr-qchep-phhep-thphysics.comp-ph

classification astro-ph.COgr-qchep-phhep-thphysics.comp-ph
keywords cosmoflowcorrelatorscosmologicalcodepythontree-levelabsentaccurate
verification ladder T0 review T1 audit T2 compute T3 formal
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Cosmological correlators hold the key to high-energy physics as they probe the earliest moments of our Universe, and conceal hidden mathematical structures. However, even at tree-level, perturbative calculations are limited by technical difficulties absent in flatspace Feynman diagrammatics. In this paper, we introduce CosmoFlow: a new accurate open source Python code that computes tree-level cosmological correlators by tracing their time flow. This code is specifically designed to offer a simple, intuitive and flexible coding environment to theorists, primordial and late-time cosmologists. It can typically serve to complement analytical computations, to provide physical intuition when studying various inflationary theories, and to obtain exact results in regimes that are analytically out of reach. This paper presents the basic structure of CosmoFlow, leads the reader through an in-depth user-guide, and illustrates how it can be used with a series of worked examples. Our hope is that this first building block sets the stage for a bank of theoretical data, which can be nurtured and enhanced collaboratively by the community. CosmoFlow is publicly available on GitHub.

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Forward citations

Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Dissecting the Scalar Cosmological Collider with the Cosmic Microwave Background

    astro-ph.CO 2026-07 accept novelty 7.0 of 10

    A joint Bayesian fit of the multi-field inflationary Lagrangian to Planck bispectrum data finds no cosmological collider signal (max Δχ²=5.3) and shows weak-mixing template searches are invalid except at the smallest masses.

  2. The Exact and Approximate Tales of Boost-Breaking Cosmological Correlators

    hep-th 2025-06 conditional novelty 7.0 of 10

    The tree-level boost-breaking cosmological collider seed correlator is computed exactly for general sound speed and chemical potential, and saddle-point methods turn it into practical elementary-function templates.

  3. AGILE: an end-to-end Rubin-LSST simulation of AGNs, galaxies, and stars I. Software description and first data release

    astro-ph.GA 2026-03 unverdicted novelty 6.0 of 10

    AGILE builds a 24 deg² truth catalog and a 1 deg² three-year LSST pilot (DR1) to measure flux recovery and Type-1 AGN completeness/purity from color and variability selections.

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