Speaker
Description
We describe the development and release of the new JetReconstruction.jl package,
used for jet finding and clusterisation in HEP. This work grew out of a CHEP
2023 paper looking at language performance and ergonomics, where the Julia
implementation impressed enough that it merited turning this into a production
package.
We outline the process of tuning and optimisation for these algorithms, within
the Julia ecosystem, how different approaches were tried that resulted in the
final implementations that are now available. Some important lessons that we
learned, in terms of optimal algorithms and their realisation in Julia, are
highlighted.
Finally, we also describe the final interface design that is presented to users
that allows internal development to continue, whilst providing a flexible and
stable API.
