Conveners
Plenary Session Tuesday
- Graeme A Stewart (CERN)
- Nikolai Hartmann (Ludwig Maximilians Universitat (DE))
Plenary Session Tuesday
- Eduardo Rodrigues (University of Liverpool (GB))
- Matthew Feickert (University of Wisconsin Madison (US))
In this presentation, I will emphasize the significance of employing attention-based transformer models for analyzing particle clouds. Specifically, I will delve into the utilization of a multi-modal transformer model equipped with both self-attention and cross-attention mechanisms to effectively analyze various scales of inputs. These inputs include the intricate local substructures of jets...
RNTuple is an upcoming columnar data storage format with a variety of improvements over TTree. It is available as an experimental feature in the latest versions of ROOT, and a stable version is expected in the not-so-distant future. The Uproot Python library has kept up changes in the RNTuple specification and currently supports reading most RNTuple files. In this talk, I will...
This talk will explore the recent advancements in the Coffea framework, a set of tools and wrappers designed to facilitate columnar Collider High-Energy Physics (HEP) analyses with user-friendly syntax. With the release of AwkwardArray 2.0, the Dask parallel processing library is now a core part of HEP analysis, and provides powerful computing abstractions through the task graphs it...
Statistical inference using likelihood based methods is a key step in most HEP analyses. This talk will introduced general likelihood fitting using zfit for model building and minimization as well as hepstats for interval estimations and targets a wide audience.
The talk will be based on notebooks and start from simple unbinned and binned fits using examples that incorporate other Python and...
In this talk, we will explore the newest developments and user contributions of zfit, a cutting-edge Python library designed for fitting binned and unbinned likelihoods within the High Energy Physics (HEP) analysis ecosystem. Built on TensorFlow, zfit offers a high-level interface for defining and fitting models, facilitating efficient and robust analysis workflows.
Over the past five...
