Zobrazeno 1 - 10
of 29
pro vyhledávání: '"de Santi, Natalí"'
The connection between galaxies and dark matter halos encompasses a range of processes and play a pivotal role in our understanding of galaxy formation and evolution. Traditionally, this link has been established through physical or empirical models.
Externí odkaz:
http://arxiv.org/abs/2410.17844
Autor:
de Santi, Natalí S. M., Villaescusa-Navarro, Francisco, Abramo, L. Raul, Shao, Helen, Perez, Lucia A., Castro, Tiago, Ni, Yueying, Lovell, Christopher C., Hernandez-Martinez, Elena, Marinacci, Federico, Spergel, David N., Dolag, Klaus, Hernquist, Lars, Vogelsberger, Mark
It has been recently shown that a powerful way to constrain cosmological parameters from galaxy redshift surveys is to train graph neural networks to perform field-level likelihood-free inference without imposing cuts on scale. In particular, de Sant
Externí odkaz:
http://arxiv.org/abs/2310.15234
Autor:
Lovell, Christopher C., Hassan, Sultan, Anglés-Alcázar, Daniel, Bryan, Greg, Fabbian, Giulio, Genel, Shy, Hahn, ChangHoon, Iyer, Kartheik, Kwon, James, de Santi, Natalí, Villaescusa-Navarro, Francisco
Using a large sample of galaxies taken from the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project, a suite of hydrodynamic simulations varying both cosmological and astrophysical parameters, we train a normalizing flow (NF
Externí odkaz:
http://arxiv.org/abs/2307.06967
Autor:
Ni, Yueying, Genel, Shy, Anglés-Alcázar, Daniel, Villaescusa-Navarro, Francisco, Jo, Yongseok, Bird, Simeon, Di Matteo, Tiziana, Croft, Rupert, Chen, Nianyi, de Santi, Natalí S. M., Gebhardt, Matthew, Shao, Helen, Pandey, Shivam, Hernquist, Lars, Dave, Romeel
We present CAMELS-ASTRID, the third suite of hydrodynamical simulations in the Cosmology and Astrophysics with MachinE Learning (CAMELS) project, along with new simulation sets that extend the model parameter space based on the previous frameworks of
Externí odkaz:
http://arxiv.org/abs/2304.02096
Autor:
Shao, Helen, de Santi, Natalí S. M, Villaescusa-Navarro, Francisco, Teyssier, Romain, Ni, Yueying, Angles-Alcazar, Daniel, Genel, Shy, Hernquist, Lars, Steinwandel, Ulrich P., Castro, Tiago, Hernandez-Martınez, Elena, Dolag, Klaus, Lovell, Christopher C., Visbal, Eli, Garrison, Lehman H., Kulkarni, Mihir
We discover analytic equations that can infer the value of $\Omega_{\rm m}$ from the positions and velocity moduli of halo and galaxy catalogues. The equations are derived by combining a tailored graph neural network (GNN) architecture with symbolic
Externí odkaz:
http://arxiv.org/abs/2302.14591
Autor:
de Santi, Natalí S. M., Shao, Helen, Villaescusa-Navarro, Francisco, Abramo, L. Raul, Teyssier, Romain, Villanueva-Domingo, Pablo, Ni, Yueying, Anglés-Alcázar, Daniel, Genel, Shy, Hernandez-Martinez, Elena, Steinwandel, Ulrich P., Lovell, Christopher C., Dolag, Klaus, Castro, Tiago, Vogelsberger, Mark
Publikováno v:
Volume 952, Number 1, Year 2023, Pages 69
We train graph neural networks to perform field-level likelihood-free inference using galaxy catalogs from state-of-the-art hydrodynamic simulations of the CAMELS project. Our models are rotational, translational, and permutation invariant and do not
Externí odkaz:
http://arxiv.org/abs/2302.14101
The relationship between galaxies and haloes is central to the description of galaxy formation, and a fundamental step towards extracting precise cosmological information from galaxy maps. However, this connection involves several complex processes t
Externí odkaz:
http://arxiv.org/abs/2301.06398
Publikováno v:
Volume 2022, Number 09, Year 2022, Pages 013
Cosmological covariance matrices are fundamental for parameter inference, since they are responsible for propagating uncertainties from the data down to the model parameters. However, when data vectors are large, in order to estimate accurate and pre
Externí odkaz:
http://arxiv.org/abs/2205.10881
Autor:
de Santi, Natalí S. M., Rodrigues, Natália V. N., Montero-Dorta, Antonio D., Abramo, L. Raul, Tucci, Beatriz, Artale, M. Celeste
Publikováno v:
Volume 514, 2022, Pages 2463-2478
Elucidating the connection between the properties of galaxies and the properties of their hosting haloes is a key element in galaxy formation. When the spatial distribution of objects is also taken under consideration, it becomes very relevant for co
Externí odkaz:
http://arxiv.org/abs/2201.06054
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