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Probing P and CP Violations on the Cosmological Collider

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arxiv 1909.01819 v3 pith:YQQZHQW5 submitted 2019-09-03 hep-ph astro-ph.COgr-qchep-th

classification hep-phastro-ph.COgr-qchep-th
keywords cp-violatingparticlescalarsignalstrispectrumanalogyangularappears
verification ladder T0 review T1 audit T2 compute T3 formal
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In direct analogy to the 4-body decay of a heavy scalar particle, the 4-point correlation function of primordial fluctuations carries P and CP information. The CP violation appears as a P-odd angular dependence in the imaginary part of the trispectrum in momentum space. We construct a model with axion-like couplings which leads to observably large CP-violating trispectrum for future surveys. Furthermore, we show the importance of on-shell particle production in observing P- and CP-violating signals. It is impossible to observe these signals from local 4-scalar EFT operators that respect dS isometries, and thus any such observation can rule out single-field EFT with sufficiently small slow-roll parameters. This calculation opens a new frontier of studying P and CP at very high energy scales.

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Cited by 3 Pith papers

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

  1. 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.

  2. Probing Parity Violation with Weak Lensing Trispectrum

    astro-ph.CO 2026-07 conditional novelty 6.0 of 10

    A parity-odd weak lensing convergence trispectrum is derived and forecast to be detectable with DES Y3/LSST Y10-like surveys under optimistic template amplitudes.

  3. Efficient training of photonic quantum generative models

    quant-ph 2026-03 unverdicted novelty 5.0 of 10

    Photonic quantum generative models can be trained classically via maximum mean discrepancy, with deployment corresponding to boson sampling.

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