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Physical Review D

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Bayesian reconstruction of primordial perturbations from induced gravitational waves

Aya Ghaleb1,*, Ameek Malhotra1,†, Gianmassimo Tasinato1,2,‡, and Ivonne Zavala1,§

  • *Contact author: aya-ghaleb@outlook.com
  • †Contact author: ameek.malhotra@swansea.ac.uk
  • ‡Contact author: g.tasinato2208@gmail.com
  • §Contact author: e.i.zavalacarrasco@swansea.ac.uk

Inflationary phase transitions in the early Universe: A Bayesian study with space-based gravitational-wave detectors

Qingyuan Liang, Chen Yang, Haipeng An, and Huai-Ke Guo

Phys. Rev. D 114 023025 (2026)

Constraints on the cosmic reheating history from PTA data

Qi-Lin Yang, Shi-Jie Wang, and Nan Li

Phys. Rev. D 114 083520 (2026)

New test of modified gravity with gravitational wave experiments

N. M. Jiménez Cruz, Flavio C. Sánchez, and Gianmassimo Tasinato

Phys. Rev. D 113 044011 (2026)

Chiral gravitational waves from multiphase magnetogenesis

H. V. Ragavendra, Gianmassimo Tasinato, and L. Sriramkumar

Phys. Rev. D 113 103547 (2026)

Isotropy, anisotropies and non-Gaussianity in the scalar-induced gravitational-wave background: diagrammatic approach for primordial non-Gaussianity up to arbitrary order

Jun-Peng Li, Sai Wang, Zhi-Chao Zhao, and Kazunori Kohri

J. Cosmol. Astropart. Phys. 2026 064 (2026)

Gaussian process reconstruction of cosmological parameters with gravitational wave sirens using machine learning

Gourab Nandi, Anish Ghoshal, and David F. Mota

J. Cosmol. Astropart. Phys. 2026 103 (2026)

The NANOGrav 15 yr Data Set: Piecewise Power-law Reconstruction of the Gravitational-wave Background

Gabriella Agazie et al.

ApJL 1004 L40 (2026)

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