3 papers
astro-ph.CO2026
Measuring cosmic bulk flow with kinetic Sunyaev-Zel'dovich velocity reconstruction
Suroor Seher Gandhi, Matthew C. Johnson, Jordan Krywonos +1
Cosmic bulk flow--the volume-averaged peculiar velocity of matter--serves as a fundamental test of the Cosmological Principle when probed on gigaparsec (Gpc) scales. Historically,…
astro-ph.CO2025
Reconstruction of Dark Matter and Baryon Density From Galaxies: A Comparison of Linear, Halo Model and Machine Learning-Based Methods
Jordan Krywonos, Yurii Kvasiuk, Matthew C. Johnson +1
For many analyses in cosmology it is necessary to reconstruct the likely distribution of unobserved fields, such as dark matter or non-luminous baryons, from observed luminous trac…
astro-ph.CO2024
Reconstruction of Continuous Cosmological Fields from Discrete Tracers with Graph Neural Networks
Yurii Kvasiuk, Jordan Krywonos, Matthew C. Johnson +1
We develop a hybrid GNN-CNN architecture for the reconstruction of 3-dimensional continuous cosmological matter fields from discrete point clouds, provided by observed galaxy catal…