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Physical Review D

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Accelerated inference of microlensed gravitational waves with machine learning

Marienza Caldarola1,*, Srashti Goyal2,†, Nihar Gupte2,‡, Stephen R. Green3,§, and Miguel Zumalacárregui2,∥

  • *Contact author: marienza.caldarola@csic.es
  • †Contact author: srashti.goyal@aei.mpg.de
  • ‡Contact author: nihar.gupte@aei.mpg.de
  • §Contact author: stephen.green2@nottingham.ac.uk
  • ∥Contact author: miguel.zumalacarregui@aei.mpg.de

Domain-optimized machine-learning tool for gravitational-wave inference

Javier Roulet, Marco Crisostomi, Lucy M. Thomas, and Katerina Chatziioannou

Phys. Rev. D 114 024080 (2026)

Effective description of lensed gravitational waves diffracted by stellar fields

Miguel Zumalacárregui and Xikai Shan

Phys. Rev. D 114 063038 (2026)

Discovering gravitational waveform distortions from lensing: A deep dive into GW231123

Juno C. L. Chan, Jose María Ezquiaga, Rico K. L. Lo, Joey Bowman, Lorena Magaña Zertuche, and Luka Vujeva

Phys. Rev. D 114 L021502 (2026)

Identifying microlensing by compact dark matter through diffraction patterns in gravitational waves with machine learning

Ao Liu, Jiaxing Cui, Tonghua Liu, Dejiang Li, Cuihong Wen, Kai Liao, Huan Zhou, and Jieci Wang

J. Cosmol. Astropart. Phys. 2026 044 (2026)

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