13 citations · 23 across the 6 of their papers we have counts for
6 papers
Investigating Late-Time Dark Energy and Massive Neutrinos in Light of DESI Y1 BAO
João Rebouças, Diogo H. F. de Souza, Kunhao Zhong +2
Baryonic Acoustic Oscillation (BAO) data from the Dark Energy Spectroscopic Instrument (DESI), in combination with Cosmic Microwave Background (CMB) data and Type Ia Supernovae (SN…
Attention-Based Neural Network Emulators for Multi-Probe Data Vectors Part II: Assessing Tension Metrics
Evan Saraivanov, Kunhao Zhong, Vivian Miranda +3
The next generation of cosmological surveys is expected to generate unprecedented high-quality data, consequently increasing the already substantial computational costs of Bayesian…
Attention-based Neural Network Emulators for Multi-Probe Data Vectors Part I: Forecasting the Growth-Geometry split
Kunhao Zhong, Evan Saraivanov, James Caputi +4
We present a new class of machine-learning emulators that accurately model the cosmic shear, galaxy-galaxy lensing, and galaxy clustering real space correlation functions in the co…
Constraining Baryonic Physics with DES Y1 and Planck data -- Combining Galaxy Clustering, Weak Lensing, and CMB Lensing
Jiachuan Xu, Tim Eifler, Vivian Miranda +6
We constrain cosmology and baryonic feedback scenarios with a joint analysis of weak lensing, galaxy clustering, cosmic microwave background (CMB) lensing, and their cross-correlat…
Early dark energy constraints with late-time expansion marginalization
João Rebouças, Jonathan Gordon, Diogo H. F. de Souza +5
Early dark energy (EDE) is an extension to the CDM model, proposed to reduce the tension between the measurements of the Hubble constant from the cosmic microwave backgrou…
Growth and Geometry Split in Light of the DES-Y3 Survey
Kunhao Zhong, Evan Saraivanov, Vivian Miranda +3
We test the smooth dark energy paradigm using Dark Energy Survey (DES) Year 1 and Year 3 weak lensing and galaxy clustering data. Within the CDM and CDM model we separate the…