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Disambiguation of "Villaescusa-Navarro, Francisco"

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Robust field-level likelihood-free inference with galaxies.

, , , , , , , , , , , , , , and . CoRR, (2023)

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Salvador Navarro Navarro

Martin Navarro

Guillermo Navarro

Osvaldo Navarro

Iván Navarro

 

Other publications of authors with the same name

Breaking baryon-cosmology degeneracy with the electron density power spectrum, , , , , , , , , and 1 other author(s). (2022)cite arxiv:2201.04142Comment: 31 pages, 10 figures, to be submitted to JCAP.Reionization with Simba: How much does astrophysics matter in modeling cosmic reionization?, , , , , , , and . (2021)cite arxiv:2109.03840Comment: 13 pages, 7figures, submitted to ApJ.MillimeterDL: Deep Learning Simulations of the Microwave Sky, , and . (2021)cite arxiv:2105.11444Comment: Sims are now public on NERSC at /global/cfs/cdirs/cmb/data/generic/mmDL; see also https://lambda.gsfc.nasa.gov/simulation/tb_sim_ov.cfm on LAMBDA.The impact of massive neutrinos on halo assembly bias, , and . (2020)cite arxiv:2008.12265Comment: 25 pages, 9 figures.Beyond \$Łambda\$CDM: Problems, solutions, and the road ahead, , , , , , , , , and 30 other author(s). Physics of the Dark Universe, (Mar 7, 2016)HIGAN: Cosmic Neutral Hydrogen with Generative Adversarial Networks., , , , , , , and . CoRR, (2019)Constraining $M_\nu$ with the Bispectrum II: The Total Information Content of the Galaxy Bispectrum, and . (2020)cite arxiv:2012.02200Comment: 24 pages, 4 figures, the Molino catalog is publicly available at https://changhoonhahn.github.io/molino/.Emulating cosmological multifields with generative adversarial networks, , and . (2022)cite arxiv:2211.05000Comment: 6 pages, 3 figures, Accepted at the Workshop on Machine Learning and the Physical Sciences, Neural Information Processing Systems (NeurIPS) 2022.Packed Ultra-wideband Mapping Array (PUMA): A Radio Telescope for Cosmology and Transients, , , , , , , , , and 16 other author(s). (2019)cite arxiv:1907.12559Comment: 10 pages + references, 3 figures, 3 tables; project white paper submitted to the Astro2020 decadal survey; further details in updated arXiv:1810.09572.Primordial non-Gaussianity without tails -- how to measure fNL with the bulk of the density PDF, , , , , and . (2019)cite arxiv:1912.06621Comment: 20 pages, 10 figures, public code available at https://github.com/OliverFHD/CosMomentum.