From tcl to awkward: analyzing old data with new tools

ORAL

Abstract

As more experiments move toward data preservation and open datasets, it opens the door to not only new physics questions, but attacking these new questions with new computational approaches that may not have existed when the data were recorded. In this talk, I will detail our experiences analyzing almost 20-year old data from the BaBar experiment with the latest experiment-agnostic computational tools like uproot and awkward. I will discuss the pressure points and challenges of working with older datasets and the still-necessary legacy computing infrastructure and highlight some lessons for current and future experiments.

*This material is based upon work supported by the National Science Foundation under Grant No. PHY-1913923 and PHY-2310056.

Presenters

  • Matthew Bellis

    • Siena College

Authors

  • Matthew Bellis

    • Siena College
  • Josephine Ruth Swann

    • Siena College