4 papers
Flinch: A Differentiable Framework for Field-Level Inference of Cosmological parameters from curved sky data
Andrea Crespi, Marco Bonici, Arthur Loureiro +6
We present Flinch, a fully differentiable and high-performance framework for field-level inference on angular maps, developed to improve the flexibility and scalability of current…
Forecasts and Simulations for Relativistic Corrections to the Sunyaev-Zeldovich Effect
L. Kuhn, Z. Li, William R. Coulton
The Sunyaev-Zeldovich (SZ) effect is a window into the astrophysical processes of galaxy clusters, and relativistic corrections (the "rSZ") promise to provide a global census of th…
Emulating Recombination with Neural Networks using Universal Differential Equations
Ben Pennell, Zack Li, James M. Sullivan
With an aim towards modeling cosmologies beyond the CDM paradigm, we demonstrate the automatic construction of recombination history emulators while enforcing a prior of causal…
: A Differentiable and GPU-accelerated Synchrotron Simulation Package
Kangning Diao, Zack Li, Richard D. P. Grumitt +1
We introduce synax, a novel library for automatically differentiable simulation of Galactic synchrotron emission. Built on the JAX framework, synax leverages JAX's capabilities, in…