Speaker
Description
ATLAS analysis in Run 2 was chaotic. ATLAS Run 3 and beyond has started to consolidate to a few common frameworks that are maintained more centrally. The top two most popular analysis frameworks are currently TopCPToolkit and easyjet. Both are configurable with yaml, while the former is part of ATLAS's offline software (athena) and the latter is developed primarily for use by higgs/di-higgs physics groups and has started to seen adoption outside of those groups.
In both cases, these frameworks analyze (D)AODs and can produce ntuple outputs. These ntuple outputs have similar patterned structures that can be represented by a coffea schema to power columnar analysis efforts within the ATLAS collaboration.
This talk will advertise atlas-schema and discuss some of the key UI/UX benefits that this provides over using a more generic schema from coffea. Some of these features include easier interpretation of enum-like data (such as truth classification bits), additional utilities for common kinematic algorithms or selections, and an organized interface for accessing systematic variations within these ntuples. As this work is under active development, feature requests from users are welcome in order to aid their analysis workflows.