Cooper Jacobus
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View article: A Gigaparsec-scale Hydrodynamic Volume Reconstructed with Deep Learning
A Gigaparsec-scale Hydrodynamic Volume Reconstructed with Deep Learning Open
The next generation of spectroscopic surveys will map the large-scale structure of the Universe at high redshifts (2 ≤ z ≤ 5) using millions of quasar spectra, enabling major advances in constraining both the standard cosmological model an…
View article: SN 2023ixf in the Pinwheel Galaxy M101: From Shock Breakout to the Nebular Phase
SN 2023ixf in the Pinwheel Galaxy M101: From Shock Breakout to the Nebular Phase Open
We present photometric and spectroscopic observations of supernova SN 2023ixf covering from day 1 to 442 days after explosion. SN 2023ixf reached a peak V -band absolute magnitude of −18.2 ± 0.07, and light curves show that it has a relati…
View article: A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning
A Gigaparsec-Scale Hydrodynamic Volume Reconstructed with Deep Learning Open
The next generation of cosmological spectroscopic sky surveys will probe the distribution of matter across several Gigaparsecs (Gpc) or many billion light-years. In order to leverage the rich data in these new maps to gain a better underst…
View article: Searching for Tidal Orbital Decay in Hot Jupiters
Searching for Tidal Orbital Decay in Hot Jupiters Open
We study transits of several ``hot Jupiter'' systems - including WASP-12 b, WASP-43 b, WASP-103 b, HAT-P-23 b, KELT-16 b, WD 1856+534 b, and WTS-2 b - with the goal of detecting tidal orbital decay and extending the baselines of transit ti…
View article: Searching for tidal orbital decay in hot Jupiters
Searching for tidal orbital decay in hot Jupiters Open
We study transits of several ‘hot Jupiter’ systems, including WASP-12 b, WASP-43 b, WASP-103 b, HAT-P-23 b, KELT-16 b, WD 1856+534 b, and WTS-2 b, with the goal of detecting tidal orbital decay and extending the baselines of transit times.…
View article: Reconstructing Lyα Fields from Low-resolution Hydrodynamical Simulations with Deep Learning
Reconstructing Lyα Fields from Low-resolution Hydrodynamical Simulations with Deep Learning Open
Hydrodynamical cosmological simulations are a powerful tool for accurately predicting the properties of the intergalactic medium (IGM) and for producing mock skies that can be compared against observational data. However, the need to resol…
View article: Optical Observations of the Type Ia Supernova 2022hrs
Optical Observations of the Type Ia Supernova 2022hrs Open
We present optical photometry and spectra of supernova (SN) 2022hrs (distance ∼ 19 Mpc). It was classified as a Type Ia SN (SN Ia) based on its optical spectra, which exhibited high velocities in both Si ii and Ca ii absorption lines. The …
View article: Reconstructing Lyman-$α$ Fields from Low-Resolution Hydrodynamical Simulations with Deep Learning
Reconstructing Lyman-$α$ Fields from Low-Resolution Hydrodynamical Simulations with Deep Learning Open
Hydrodynamical cosmological simulations are a powerful tool for accurately predicting the properties of the intergalactic medium (IGM) and for producing mock skies that can be compared against observational data. However, the need to resol…
View article: Machine-Learning enabled analysis of ELM filament dynamics in KSTAR
Machine-Learning enabled analysis of ELM filament dynamics in KSTAR Open
The emergence and dynamics of filamentary structures associated with edge-localized modes (ELMs) inside tokamak plasmas during high-confinement mode is regularly studied using Electron Cyclotron Emission Imaging (ECEI) diagnostic systems. …