7 citations · 12 across the 6 of their papers we have counts for
6 papers
Deep Learning for Primordial -mode Extraction
Eric Guzman, Joel Meyers
The search for primordial gravitational waves is a central goal of cosmic microwave background (CMB) surveys. Isolating the characteristic -mode polarization signal sourced by p…
Accurate neural network emulator for primordial light element abundances
Fan Zhang, Hang Diao, Bohua Li +2
Big-Bang Nucleosynthesis (BBN) predictions of primordial light-element abundances offer a powerful probe of early-Universe physics. However, high-accuracy numerical BBN calculation…
Insights for Early Dark Energy with Big Bang Nucleosynthesis
Christopher Cook, Joel Meyers
Big Bang Nucleosynthesis (BBN), as one of the earliest processes in the universe accessible to direct observation, offers a powerful and independent probe of the cosmic expansion h…
SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation
Fan Zhang, Yifang Luo, Bohua Li +4
Accurate modeling of the inflationary gravitational waves (GWs) requires time-consuming, iterative numerical integrations of differential equations to take into account their backr…
Multimodality in the Search for New Physics in Pulsar Timing Data and the Case of Kination-amplified Gravitational-wave Background from Inflation
Bohua Li, Joel Meyers, Paul R. Shapiro
We investigate the kination-amplified inflationary gravitational-wave background (GWB) interpretation of the signal recently reported by various pulsar timing array (PTA) experimen…
Investigating the Baryon Cycle in Interacting Dwarfs with the Very Large Array and Pan-STARRS
Nicholas Luber, Sarah Pearson, Mary Putman +3
We present resolved HI synthesis maps from the Very Large Array (VLA) of three interacting dwarf systems: the NGC 3664 dwarf pair, the NGC 3264 dwarf pair, and the UGC 4638 dwarf t…