11–15 Mar 2024
Charles B. Wang Center, Stony Brook University
US/Eastern timezone

Study of columnar data analysis methods to complete an ATLAS analysis

14 Mar 2024, 16:10
30m
Charles B. Wang Center, Stony Brook University

Charles B. Wang Center, Stony Brook University

100 Circle Rd, Stony Brook, NY 11794
Poster Track 2: Data Analysis - Algorithms and Tools Poster session with coffee break

Speaker

Marc Tost (University of Texas at Austin (US))

Description

As the LHC continues to collect larger amounts of data, and in light of the upcoming HL-LHC, using tools that allow efficient and effective analysis of HEP data becomes more and more important. We present a test of the applicability and user-friendliness of several columnar analysis tools, most notably ServiceX and Coffea, by completing a full Run-2 ATLAS analysis. Working collaboratively with a group using traditional methods, we show that our columnar workflow can be used to achieve publishable results. Additionally, we will discuss the difficulties in adapting the workflow to ATLAS procedures, and our experience deploying this workflow at a supercomputer center.

Significance

This study is to our knowledge the first use of serviceX + coffea to complete a full, publishable analysis at ATLAS. Our methods allow a look into how future physicists might approach analyses and provide valuable insight into the needs of users looking for more modern tools to complete the research goals of the collaboration.

Experiment context, if any The physics analysis this poster is based on is an ATLAS study. We are anticipating that our paper will be on the arXiv before the start of ACAT 2024.

Primary author

Marc Tost (University of Texas at Austin (US))

Presentation materials