Publications (7)
Improving Photometric Galaxy Clustering Constraints With Cross-Bin Correlations
Jordan Krywonos, Jessica Muir, Matthew C. Johnson
Clustering studies in current photometric galaxy surveys focus solely on auto-correlations, neglecting cross-correlations between redshift bins. We evaluate the potential advantage…
Constraints on the remote quadrupole field from the polarized Sunyaev Zel'dovich effect
Jordan Krywonos, Matthew C. Johnson, Elena Pierpaoli +1
The polarized Sunyaev Zel'dovich (pSZ) effect is a cosmic microwave background (CMB) polarization anisotropy induced by Thomson scattering from free-electrons in non-linear structu…
Constraints on cosmology beyond CDM with kinetic Sunyaev Zel'dovich velocity reconstruction
Jordan Krywonos, Selim C. Hotinli, Matthew C. Johnson
Kinetic Sunyaev Zel'dovich velocity reconstruction uses the statistically anisotropic cross-correlation between cosmic microwave background (CMB) temperature anisotropies and a gal…
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,…
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…
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…
Cosmological measurements from the CMB and BAO are insensitive to the tail probability in the assumed likelihood
Jordan Krywonos, Simone Paradiso, Alex Krolewski +2
When fitting cosmological models to data, a Bayesian framework is commonly used, requiring assumptions on the form of the likelihood and model prior. In light of current tensions b…