Beyond 4D Tracking: Using Cluster Shapes for Track Seeding

no code implementations • 8 Dec 2020 • Patrick J. Fox, Shangqing Huang, Joshua Isaacson, Xiangyang Ju, Benjamin Nachman

The shape of clusters provides an additional dimension for track seeding that can significantly reduce the combinatorial challenge of track finding.

i-flow: High-dimensional Integration and Sampling with Normalizing Flows

1 code implementation • 15 Jan 2020 • Christina Gao, Joshua Isaacson, Claudius Krause

We introduce the code i-flow, a python package that performs high-dimensional numerical integration utilizing normalizing flows.

Numerical Integration Vocal Bursts Intensity Prediction