3 papers
astro-ph.HE2025
Deep Learning Analysis of Ions Accelerated at Shocks
Paxson Swierc, Damiano Caprioli, Luca Orusa +1
We study the application of deep learning techniques to the analysis and classification of ions accelerated at collisionless shocks in hybrid (kinetic ions--fluid electrons) simula…
astro-ph.IM2024
Domain-Adaptive Neural Posterior Estimation for Strong Gravitational Lens Analysis
Paxson Swierc, Marcos Tamargo-Arizmendi, Aleksandra Ćiprijanović +1
Modeling strong gravitational lenses is prohibitively expensive for modern and next-generation cosmic survey data. Neural posterior estimation (NPE), a simulation-based inference (…
astro-ph.IM2023
Domain Adaptation for Measurements of Strong Gravitational Lenses
Paxson Swierc, Megan Zhao, Aleksandra Ćiprijanović +1
Upcoming surveys are predicted to discover galaxy-scale strong lenses on the order of , making deep learning methods necessary in lensing data analysis. Currently, there is i…