12:20 PM - 12:30 PM (10 min)
Gabriele Bozzola (University of Arizona)
Abstract: Preparing a new parameter file for Einstein Toolkit simulation can be a nuanced task. In this talk, I’ll present Jhuki, a Python library to simplify the process. Jhuki provides abstractions that automatically take care of several low-level details, dramatically reducing errors and improving extensibility and reusability of parameter files. Jhuki is ideally suited for designing parametric studies. The library is open-source and under development.