70 citations · 447 across the 15 of their papers we have counts for
15 papers
Constraints on the Epoch of Reionization with Roman Space Telescope and the Void Probability Function of Lyman-Alpha Emitters
Lucia A. Perez, Sangeeta Malhotra, James E. Rhoads +1
We use large simulations of Lyman-Alpha Emitters with different fractions of ionized intergalactic medium to quantify the clustering of Ly emitters as measured by the Void Proba…
Probing Patchy Reionization with the Void Probability Function of Lyman- Emitters
Lucia A. Perez, Sangeeta Malhotra, James E. Rhoads +2
We probe what constraints for the global ionized hydrogen fraction the Void Probability Function (VPF) clustering can give for the Lyman-Alpha Galaxies in the Epoch of Reionization…
Constraining cosmology with machine learning and galaxy clustering: the CAMELS-SAM suite
Lucia A. Perez, Shy Genel, Francisco Villaescusa-Navarro +5
As the next generation of large galaxy surveys come online, it is becoming increasingly important to develop and understand the machine learning tools that analyze big astronomical…
The CAMELS project: public data release
Francisco Villaescusa-Navarro, Shy Genel, Daniel Anglés-Alcázar +44
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology with astrophysics through thousands of cosmological hydrodynami…
New spectroscopic confirmations of Lyman- emitters at z 7 from the LAGER survey
Santosh Harish, Isak G. B. Wold, Sangeeta Malhotra +14
We report spectroscopic confirmations of 15 Lyman-alpha galaxies at , implying a spectroscopic confirmation rate of 80% on candidates selected from LAGER (Lyman-Alpha…
The CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence
Francisco Villaescusa-Navarro, Shy Genel, Daniel Angles-Alcazar +25
We present the Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) Multifield Dataset, CMD, a collection of hundreds of thousands of 2D maps and 3D grids containi…