Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Hernández Martínez, Elena"'
Autor:
Hernández-Martínez, Elena, Genel, Shy, Villaescusa-Navarro, Francisco, Steinwandel, Ulrich P., Lee, Max E., Lau, Erwin T., Spergel, David N.
We present a study on the inference of cosmological and astrophysical parameters using stacked galaxy cluster profiles. Utilizing the CAMELS-zoomGZ simulations, we explore how various cluster properties--such as X-ray surface brightness, gas density,
Externí odkaz:
http://arxiv.org/abs/2410.10942
Autor:
Sommer, Julian S., Dolag, Klaus, Böss, Ludwig M., Khabibullin, Ildar, Liang, Xunyu, Van Waerbeke, Ludovic, Zhitnitsky, Ariel, Majidi, Fereshteh, Sorce, Jenny G., Seidel, Benjamin, Hernández-Martínez, Elena
Publikováno v:
A&A 691, A38 (2024)
(abridged) We analyze the emission of axion quark nuggets in a large sample of 161 simulated galaxy clusters using the SLOW simulation. These clusters are divided into a sub-sample of 150 galaxy clusters, ordered in five mass bins ranging from $0.8$
Externí odkaz:
http://arxiv.org/abs/2406.17946
Autor:
Hernández-Martínez, Elena, Dolag, Klaus, Seidel, Benjamin, Sorce, Jenny G., Aghanim, Nabila, Pilipenko, Sergey, Gottloeber, Stefan, Lebeau, Théo, Valentini, Milena
Publikováno v:
A&A 687, A253 (2024)
This is the second paper in a series presenting the results from a 500 $h^{-1}$Mpc large constrained hydro-dynamical simulation of the local Universe (SLOW). The initial conditions are based on peculiar velocities derived from the CosmicFlows-2 catal
Externí odkaz:
http://arxiv.org/abs/2402.01834
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:
Böss, Ludwig M., Dolag, Klaus, Steinwandel, Ulrich P., Hernández-Martínez, Elena, Khabibullin, Ildar, Seidel, Benjamin, Sorce, Jenny G.
Publikováno v:
A&A 692, A232 (2024)
Aims: Detecting diffuse synchrotron emission from the cosmic web is still a challenge for current radio telescopes. We aim to make predictions about the detectability of cosmic web filaments from simulations. Methods: We present the first cosmologica
Externí odkaz:
http://arxiv.org/abs/2310.13734
Publikováno v:
Astronomy & Astrophysics, volume 682, page A157, 2024
When measuring the observed pressure, density or temperature profiles of the intracluster gas, and hence the mass of clusters of galaxies, projection effects or departures from the spherical symmetry hypothesis may induce biases. In order to estimate
Externí odkaz:
http://arxiv.org/abs/2310.02326
Autor:
Echeverri, Nicolas, Villaescusa-Navarro, Francisco, Chawak, Chaitanya, Ni, Yueying, Hahn, ChangHoon, Hernandez-Martinez, Elena, Teyssier, Romain, Angles-Alcazar, Daniel, Dolag, Klaus, Castro, Tiago
Recent work has pointed out the potential existence of a tight relation between the cosmological parameter $\Omega_{\rm m}$, at fixed $\Omega_{\rm b}$, and the properties of individual galaxies in state-of-the-art cosmological hydrodynamic simulation
Externí odkaz:
http://arxiv.org/abs/2304.06084
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
Autor:
Dolag, Klaus, Sorce, Jenny G., Pilipenko, Sergey, Hernández-Martínez, Elena, Valentini, Milena, Gottlöber, Stefan, Aghanim, Nabila, Khabibullin, Ildar
Publikováno v:
A&A 677, A169 (2023)
Context: Several observations of the local Universe (LU) point towards the existence of very prominent structures. The presence of massive galaxy clusters and local super clusters on the one hand, but also large local voids and under-densities on the
Externí odkaz:
http://arxiv.org/abs/2302.10960