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Consistency tests of field level inference with the EFT likelihood
Andrija Kostić, Nhat-Minh Nguyen, Fabian Schmidt and Martin Reinecke Journal of Cosmology and Astroparticle Physics 2023(07) 063 (2023) https://doi.org/10.1088/1475-7516/2023/07/063
Towards accurate field-level inference of massive cosmic structures
Stephen Stopyra, Hiranya V Peiris, Andrew Pontzen, Jens Jasche and Guilhem Lavaux Monthly Notices of the Royal Astronomical Society 527(1) 1244 (2023) https://doi.org/10.1093/mnras/stad3170
Bayesian field-level inference of primordial non-Gaussianity using next-generation galaxy surveys
Adam Andrews, Jens Jasche, Guilhem Lavaux and Fabian Schmidt Monthly Notices of the Royal Astronomical Society 520(4) 5746 (2023) https://doi.org/10.1093/mnras/stad432
Field-based physical inference from peculiar velocity tracers
James Prideaux-Ghee, Florent Leclercq, Guilhem Lavaux, Alan Heavens and Jens Jasche Monthly Notices of the Royal Astronomical Society 518(3) 4191 (2022) https://doi.org/10.1093/mnras/stac3346
Optimal machine-driven acquisition of future cosmological data
Field-level inference of galaxy intrinsic alignment from the SDSS-III BOSS survey
Eleni Tsaprazi, Nhat-Minh Nguyen, Jens Jasche, Fabian Schmidt and Guilhem Lavaux Journal of Cosmology and Astroparticle Physics 2022(08) 003 (2022) https://doi.org/10.1088/1475-7516/2022/08/003
Efficient Bayesian inference for stochastic agent-based models
Andreas Christ Sølvsten Jørgensen, Atiyo Ghosh, Marc Sturrock, Vahid Shahrezaei and Mark Alber PLOS Computational Biology 18(10) e1009508 (2022) https://doi.org/10.1371/journal.pcbi.1009508
Simultaneous Estimation of Large-scale Structure and Milky Way Dust Extinction from Galaxy Surveys
Matías Bravo, Eric Gawiser, Nelson D. Padilla, Joseph DeRose and Risa H. Wechsler The Astrophysical Journal 921(2) 108 (2021) https://doi.org/10.3847/1538-4357/ac1fea
Mitigating contamination in LSS surveys: a comparison of methods
Natalia Porqueres, Alan Heavens, Daniel Mortlock and Guilhem Lavaux Monthly Notices of the Royal Astronomical Society 502(2) 3035 (2021) https://doi.org/10.1093/mnras/stab204
A hierarchical field-level inference approach to reconstruction from sparse Lyman-α forest data
Investigating surface correction relations for RGB stars
Rafael A García, Patrick Gaulme, Arlette Noels, et al. Monthly Notices of the Royal Astronomical Society 495(4) 4965 (2020) https://doi.org/10.1093/mnras/staa1480
On the impact of the structural surface effect on global stellar properties and asteroseismic analyses
Andreas Christ Sølvsten Jørgensen, Josefina Montalbán, George C Angelou, et al. Monthly Notices of the Royal Astronomical Society 500(4) 4277 (2020) https://doi.org/10.1093/mnras/staa3476
Bayesian inference of stellar parameters based on 1D stellar models coupled with 3D envelopes
Andreas Christ Sølvsten Jørgensen and George C Angelou Monthly Notices of the Royal Astronomical Society 490(2) 2890 (2019) https://doi.org/10.1093/mnras/stz2825
Inferring high-redshift large-scale structure dynamics from the Lyman-αforest