Speaker
Description
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 produces.
Coffea has been retooled to harness this new infrastructure. By integrating uproot, dask-awkward, and dask-histogram, analyses written using Coffea can be automatically optimized for data transport and distributed across clusters.
This talk will demonstrate the current capabilities of dask-awkward, dask-histogram, and Coffea through an extended Jupyter-based tutorial. Attendees will see practical examples showcasing the functionality of these tools and learn how to use them to develop their own analyses. The basics of task-graph building and lazy evaluation will be covered, along with tips and caveats for migrating analysis code from Coffea 0.7 to this enhanced toolset.
