Sep 12 – 16, 2022
Europe/Zurich timezone

Constructing HEP vectors and analyzing HEP data using Vector

Sep 13, 2022, 3:30 PM
Notebook talk Plenary Session Tueday


Saransh Chopra (Cluster Innovation Centre, University of Delhi)


Vector is a Python library for 2D, 3D, and Lorentz vectors, including arrays of vectors, designed to solve common physics problems in a NumPy-like way. Vector currently supports pure Python Object, NumPy, Awkward, and Numba-based (Numba-Object, Numba-Awkward) backends.

This talk will focus on introducing Vector and its backends to the HEP community through a data analysis pipeline. The session will build up from pure Python Object based vectors to Awkward based vectors, ending with a demonstration of Numba support. Furthermore, we will discuss the latest developments in the library's API and showcase some recent enhancements.

Primary authors

Henry Fredrick Schreiner (Princeton University) Jim Pivarski (Princeton University) Saransh Chopra (Cluster Innovation Centre, University of Delhi)

Presentation materials