5 citations · 6 across the 4 of their papers we have counts for
9 papers
Convolutional Neural Networks for classifying galaxy mergers: Can faint tidal features aid in classifying mergers?
Yeonkyung Lee, Hyunmi Song, Jihye Shin +3
Identifying mergers from observational data has been a crucial aspect of studying galaxy evolution and formation. Tidal features, typically fainter than 26 …
ODIN: Using multiplicity of Lyman-Alpha Emitters to assess star formation activity in dark matter halos
M. Candela Cerdosino, Nelson Padilla, Ana Laura O'Mill +16
We investigate if systems of multiple Lyman-alpha emitters (LAEs) can serve as a proxy for dark matter halo mass, assess how their radiative properties relate to the underlying hal…
Redshift Evolution of the Intrinsic Alignments of Early-Type Galaxies and Subhalos in the Horizon Run 5 Simulation
Sanghyeon Han, Motonari Tonegawa, Ho Seong Hwang +8
We investigate the redshift evolution of intrinsic alignments of the shapes of galaxies and subhalos with the large-scale structures of the universe using the cosmological hydrodyn…
The Role of Large-Scale Environment in Shaping the Stellar Mass-Gas Metallicity Relation Across Time
Aaron R. Rowntree, Fiorenzo Vincenzo, Ankit Singh +8
We study the stellar mass-gas metallicity relation (MZR) which shows a significant scatter for a fixed stellar mass. By defining global environments, nodes, filaments, and voids wi…
ODIN: Star Formation Histories Reveal Formative Starbursts Experienced by Lyman Alpha Emitting Galaxies at Cosmic Noon
Nicole M. Firestone, Eric Gawiser, Kartheik G. Iyer +27
In this work, we test the frequent assumption that Lyman Alpha Emitting galaxies (LAEs) are experiencing their first major burst of star formation at the time of observation. To th…
RAMSES-yOMP: Performance Optimizations for the Astrophysical Hydrodynamic Simulation Code RAMSES
San Han, Yohan Dubois, Jaehyun Lee +3
Developing an efficient code for large, multiscale astrophysical simulations is crucial in preparing the upcoming era of exascale computing. RAMSES is an astrophysical simulation c…