Browsing Research Articles (Physics) by Author "Hassan, Sultan"
Now showing items 1-6 of 6
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The CAMELS multifield data set: Learning the universe’s fundamental parameters with artificial intelligence
Shy, Genel; Villaescusa-Navarro, Fransisco; Anglés-Alcázar, Daniel; Dave, Romeel; Hassan, Sultan (IOP, 2022)We present the Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) Multifield Data set (CMD), a collection of hundreds of thousands of 2D maps and 3D grids containing many different properties of cosmic ... -
Constraining the astrophysics and cosmology from 21 cm tomography using deep learning with the SKA
Hassan, Sultan; Andrianomena, Sambatra; Doughty, Caitlin (Oxford University Press, 2020)Future Square Kilometre Array (SKA) surveys are expected to generate huge data sets of 21 cm maps on cosmological scales from the Epoch of Reionization. We assess the viability of exploiting machine learning techniques, ... -
Constraining the reionization history using deep learning from 21-cm tomography with the Square Kilometre Array
Mangena, Tumelo; Hassan, Sultan; Santos, Mario G. (Oxford University Press, 2020)Upcoming 21-cm surveys with the SKA1-LOW telescope will enable imaging of the neutral hydrogen distribution on cosmological scales in the early Universe. These surveys are expected to generate huge imaging data sets that ... -
An exploration of AGN and Stellar feedback effects in the intergalactic medium via the low-redshift Lyα Forest
Tillman, Megan Taylor; Hassan, Sultan; Vogelsberger, Mark (American Astronomical Society, 2023)We explore the role of galactic feedback on the low-redshift Lyα (Lyα) forest (z ≲ 2) statistics and its potential to alter the thermal state of the intergalactic medium. Using the Cosmology and Astrophysics with Machine ... -
Hiflow: Generating diverse hi maps and inferring cosmology while marginalizing over astrophysics using normalizing flows
Hassan, Sultan; Villaescusa-Navarro, Francisco; Wandelt, Benjamin (IOP Publishing, 2022)A wealth of cosmological and astrophysical information is expected from many ongoing and upcoming large-scale surveys. It is crucial to prepare for these surveys now and develop tools that can efficiently extract ... -
Testing galaxy formation simulations with damped Lyman-α abundance and metallicity evolution
Hassan, Sultan; Finlator, Kristian; Dave, Romeel (Oxford University Press, 2020)We examine the properties of damped Lyman-α absorbers (DLAs) emerging from a single set of cosmological initial conditions in two state-of-the-art cosmological hydrodynamic simulations: SIMBA and TECHNICOLOR DAWN. The ...