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Cited article:

Revealing Hidden Cosmic Flows through the Zone of Avoidance with Deep Learning

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From redshift to real space: Combining linear theory with neural networks

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The Manticore Project I: a digital twin of our cosmic neighbourhood from Bayesian field-level analysis

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The Redshift-space Momentum Power Spectrum. III. Measuring the Growth Rate from the SDSSv Survey Using the Auto- and Cross-power Spectrum of the Galaxy Density and Momentum Fields

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The Astrophysical Journal 978 (1) 7 (2025)
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The Velocity Field Olympics: assessing velocity field reconstructions with direct distance tracers

Richard Stiskalek, Harry Desmond, Julien Devriendt, Adrianne Slyz, Guilhem Lavaux, Michael J Hudson, Deaglan J Bartlett and Hélène M Courtois
Monthly Notices of the Royal Astronomical Society 545 (2) (2025)
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AVISM: Algorithm for Void Identification in coSMology

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Astronomy & Astrophysics 704 A24 (2025)
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Unveiling the largest structures in the nearby Universe: Discovery of the Quipu superstructure

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Astronomy & Astrophysics 695 A59 (2025)
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