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Cited article:

Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys

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Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey

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Journal of Cosmology and Astroparticle Physics 2022 (08) 003 (2022)
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Neural physical engines for inferring the halo mass distribution function

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BIRTH of the COSMOS field: primordial and evolved density reconstructions during cosmic high noon

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A hierarchical field-level inference approach to reconstruction from sparse Lyman-α forest data

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https://doi.org/10.1051/0004-6361/202038482

A blind method to recover the mask of a deep galaxy survey

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Journal of Cosmology and Astroparticle Physics 2019 (04) 023 (2019)
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Explicit Bayesian treatment of unknown foreground contaminations in galaxy surveys

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Primordial power spectrum and cosmology from black-box galaxy surveys

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Monthly Notices of the Royal Astronomical Society 490 (3) 4237 (2019)
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Inferring high-redshift large-scale structure dynamics from the Lyman-αforest

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A map-based method for eliminating systematic modes from galaxy clustering power spectra with application to BOSS

B Kalus, W J Percival, D J Bacon, et al.
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Optimal and fast $\mathcal {E}/\mathcal {B}$ separation with a dual messenger field

Doogesh Kodi Ramanah, Guilhem Lavaux and Benjamin D Wandelt
Monthly Notices of the Royal Astronomical Society 476 (2) 2825 (2018)
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