Conveners
Plenary Session Monday
- Eduardo Rodrigues (University of Liverpool (GB))
- Oksana Shadura (University of Nebraska Lincoln (US))
Plenary Session Monday
- Matthew Feickert (University of Wisconsin Madison (US))
- Eduardo Rodrigues (University of Liverpool (GB))
feynml is a project to develop an XML dialect for describing Feynman diagrams as used in quantum field theory calculations. A primary goal is the creation of a clear and definitive XML representation of Feynman diagram structures, serving as a standard that can be effortlessly translated into diverse formats. Similarly to HTML/CSS the physical/topological content is separated from the...
Vector is a Python library for 2D, 3D, and Lorentz vectors, especially 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.
Vector had its first major release shortly after PyHEP 2022, and there have been several new and exciting updates along...
In addition to data acquisition, DAQ systems often incorporate monitoring and controlling tasks. In contrast to developing custom control software for individual experiments, a unified control software architecture abstraction is expected. The core of the generic control software is developed using Python and primarily comprises core function groups and executors. The core functional group...
Likelihood fits and inference are an essential part of most analyses in HEP. While some fitting libraries specialize on specific types of fits, zfit offers a general model fitting library.
This tutorial will introduce fitting with zfit and hepstats. The introduction will cover unbinned and binned model building, custom models, simultaneous fits and toy studies to cover most of the use-cases...
The LEGEND experiment is designed to search for the lepton-number-violating neutrinoless double beta decay of $^{76}$Ge. The collaboration has selected Python as main programming language of its open source primary software stack, employed in decoding digitizer data and up to the most high-level analysis routines. Numba-based hardware acceleration of digital signal processing algorithms is...
Recent work has demonstrated that graph neural networks (GNNs) trained for charged particle tracking can match the performance of traditional algorithms while improving scalability. This project uses a learned clustering strategy: GNNs are trained to embed the hits of the same particle close to each other in a latent space, such that they can easily be collected by a clustering algorithm.
The...
In a typical HEP data analysis process, data is explored by a physicist loading large amounts of data into an interactive Python environment. The physicist performs various analyses of this data. The results of the first analysis tell the physicist what the next steps should be. Python as a dynamically typed language is ideal for this task. The downside is that Python is not very fast.
C++...
