CompF5: End User Analysis Topical Group Report

TL;DR

This report reviews the current state and challenges of end user analysis in high energy physics, focusing on data processing, analysis ecosystems, and community practices to improve physics results extraction.

Contribution

It provides a comprehensive overview of end user analysis components and offers recommendations for enhancing analysis workflows and collaboration.

Findings

Identification of key analysis components and workflows.

Recommendations for improving analysis software and data management.

Community consensus on analysis practices and training needs.

Abstract

This report summarizes the work of the Computational Frontier topical group on end user analysis for Snowmass 2021. End User Analysis refers to the extraction of physics results from reconstructed and simulated experimental data. High energy physics experiments produce systems that perform common reconstruction, calibration, and simulation tasks, resulting in shared data samples. These detailed data samples are then reduced to create a range of analysis samples, often optimized for a particular physics topic by a trigger or data object selection. End users (analyzers) then analyze those samples to produce physics results. Community discussions converged on categorizing the end user analysis ensemble into Analysis Ecosystems, Analysis Models, Dataset Bookkeeping and Formats, Collaborative Software, and Training. We present findings and recommendations based on these key areas that impact end user analysis.