Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Hassan, Sultan"'
Autor:
Andrianomena, Sambatra, Hassan, Sultan
We present an approach that can be utilized in order to account for the covariate shift between two datasets of the same observable with different distributions, so as to improve the generalizability of a neural network model trained on in-distributi
Externí odkaz:
http://arxiv.org/abs/2411.10515
Autor:
Hassan, Sultan, Ostriker, Eve C., Kim, Chang-Goo, Bryan, Greg L., Burger, Jan D., Fielding, Drummond B., Forbes, John C., Genel, Shy, Hernquist, Lars, Jeffreson, Sarah M. R., Motwani, Bhawna, Smith, Matthew C., Somerville, Rachel S., Steinwandel, Ulrich P., Teyssier, Romain
Traditional star formation subgrid models implemented in cosmological galaxy formation simulations, such as that of Springel & Hernquist (2003, hereafter SH03), employ adjustable parameters to satisfy constraints measured in the local Universe. In re
Externí odkaz:
http://arxiv.org/abs/2409.09121
Autor:
Jeffreson, Sarah M. R., Ostriker, Eve C., Kim, Chang-Goo, Gensior, Jindra, Bryan, Greg L., Davis, Timothy A., Hernquist, Lars, Hassan, Sultan
We present a suite of six high-resolution chemo-dynamical simulations of isolated galaxies, spanning observed disk-dominated environments on the star-forming main sequence, as well as quenched, bulge-dominated environments. We compare and contrast th
Externí odkaz:
http://arxiv.org/abs/2409.09114
Autor:
Kim, Chang-Goo, Ostriker, Eve C., Kim, Jeong-Gyu, Gong, Munan, Bryan, Greg L., Fielding, Drummond B., Hassan, Sultan, Ho, Matthew, Jeffreson, Sarah M. R., Somerville, Rachel S., Steinwandel, Ulrich P.
We present a new simulation suite for the star-forming interstellar medium (ISM) in galactic disks using the TIGRESS-NCR framework. Distinctive aspects of our simulation suite are: (1) sophisticated and comprehensive numerical treatments of essential
Externí odkaz:
http://arxiv.org/abs/2405.19227
We demonstrate the use of deep network to learn the distribution of data from state-of-the-art hydrodynamic simulations of the CAMELS project. To this end, we train a generative adversarial network to generate images composed of three different chann
Externí odkaz:
http://arxiv.org/abs/2402.10997
Autor:
Hassan, Sultan, Andrianomena, Sambatra
Efficiently analyzing maps from upcoming large-scale surveys requires gaining direct access to a high-dimensional likelihood and generating large-scale fields with high fidelity, which both represent major challenges. Using CAMELS simulations, we emp
Externí odkaz:
http://arxiv.org/abs/2311.00833
Autor:
Andrianomena, Sambatra, Hassan, Sultan
We investigate the possibility of learning the representations of cosmological multifield dataset from the CAMELS project. We train a very deep variational encoder on images which comprise three channels, namely gas density (Mgas), neutral hydrogen d
Externí odkaz:
http://arxiv.org/abs/2311.00799
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:
Tillman, Megan Taylor, Burkhart, Blakesley, Tonnesen, Stephanie, Bird, Simeon, Bryan, Greg L., Anglés-Alcázar, Daniel, Hassan, Sultan, Somerville, Rachel S., Davé, Romeel, Marinacci, Federico, Hernquist, Lars, Vogelsberger, Mark
We explore the role of galactic feedback on the low redshift Lyman-$\alpha$ (Ly$\alpha$)~forest ($z \lesssim 2$) statistics and its potential to alter the thermal state of the intergalactic medium. Using the Cosmology and Astrophysics with Machine Le
Externí odkaz:
http://arxiv.org/abs/2307.06360
Autor:
Hassan, Sultan, Lovell, Christopher C., Madau, Piero, Huertas-Company, Marc, Somerville, Rachel S., Burkhart, Blakesley, Dixon, Keri L., Feldmann, Robert, Starkenburg, Tjitske K., Wu, John F., Jespersen, Christian Kragh, Gelfand, Joseph D., Bera, Ankita
An unprecedented array of new observational capabilities are starting to yield key constraints on models of the epoch of first light in the Universe. In this Letter we discuss the implications of the UV radiation background at cosmic dawn inferred by
Externí odkaz:
http://arxiv.org/abs/2305.02703