1 citations · 1 across the 5 of their papers we have counts for
5 papers
Vision Transformers for Cosmological Fields: Application to Weak Lensing Mass Maps
Jash Kakadia, Shubh Agrawal, Kunhao Zhong +1
Weak gravitational lensing is a powerful probe of the universe's growth history. While traditional two-point statistics capture only the Gaussian features of the convergence field,…
Separating the Inseparable: Constraining Arbitrary Primordial Bispectra with Cosmic Microwave Background Data
Oliver H. E. Philcox, Kunhao Zhong, Salvatore Samuele Sirletti
To efficiently probe primordial non-Gaussianity using Cosmic Microwave Background (CMB) data, we require theoretical predictions that are factorizable, \textit{i.e.}\ those whose k…
Tests of Evolving Dark Energy with Geometric Probes of the Late-Time Universe
Kunhao Zhong, Bhuvnesh Jain
Recent results from the Dark Energy Spectroscopic Instrument (DESI) have shown a strong statistical preference for a time-evolving dark energy model over CDM when combining BAO,…
Fast Generation of Weak Lensing Maps with Analytical Point Transformation Functions
Kunhao Zhong, Gary Bernstein, Supranta S. Boruah +2
Nonlinear cosmological fields like galaxy density and lensing convergence can be approximately related to Gaussian fields via analytic point transforms. The lognormal transform (LN…
Improving Convolutional Neural Networks for Cosmological Fields with Random Permutation
Kunhao Zhong, Marco Gatti, Bhuvnesh Jain
Convolutional Neural Networks (CNNs) have recently been applied to cosmological fields -- weak lensing mass maps and galaxy maps. However, cosmological maps differ in several ways…