3 papers
astro-ph.CO2025
Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part III: Modeling The Next Generation Surveys
Yijie Zhu, Evan Saraivanov, Joshua A. Kable +6
Machine learning can accelerate cosmological inferences that involve many sequential evaluations of computationally expensive data vectors. Previous works in this series have exami…
astro-ph.CO2024
Quantifying Scalar Field Dynamics with DESI 2024 Y1 BAO measurements
Kim V. Berghaus, Joshua A. Kable, Vivian Miranda
Quintessence scalar fields are a natural candidate for evolving dark energy. Unlike the phenomenological parameterization of the dark energy equation of state, they cannot…
astro-ph.CO2024
Sound Horizon Independent Constraints on Early Dark Energy: The Role of Supernova Data
Joshua A. Kable, Vivian Miranda
We assess the consistency of cosmological models that alter the size of the sound horizon at last scattering to resolve the Hubble tension with data from ACT + Planck CMB lensing,…