Joyce Caliendo
A5078542314- Astronomy and Astrophysical Research
- Galaxies: Formation, Evolution, Phenomena
- Gamma-ray bursts and supernovae
- demographic modeling and climate adaptation
- Stellar, planetary, and galactic studies
- Adaptive optics and wavefront sensing
- Advanced Data Storage Technologies
University of Connecticut
2021-2023
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4,233 simulations, 2,049 N-body 2,184 state-of-the-art that sample a vast volume in parameter space. In this paper we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogues, power...
We present constraints on the dust continuum flux and inferred gas content of a gravitationally lensed massive quiescent galaxy at $z$=1.883$\pm$0.001 using AzTEC 1.1mm imaging with Large Millimeter Telescope. MRG-S0851 appears to be prototypical compact galaxy, but has evidence that it experienced centrally concentrated rejuvenation event in last 100 Myr (see Akhshik et al. 2020). This is undetected image we calculate an upper limit millimeter use this estimate H$_2$ mass via empirically...
The Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4,233 simulations, 2,049 N-body 2,184 state-of-the-art that sample a vast volume in parameter space. In this paper we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogues, power...
Abstract The Cosmology and Astrophysics with Machine Learning Simulations (CAMELS) project was developed to combine cosmology astrophysics through thousands of cosmological hydrodynamic simulations machine learning. CAMELS contains 4233 simulations, 2049 N -body 2184 state-of-the-art that sample a vast volume in parameter space. In this paper, we present the public data release, describing characteristics variety products generated from them, including halo, subhalo, galaxy, void catalogs,...