SFrame - A high-performance ROOT-based framework for HEP analysis
A. Krasznahorkay, David Berge, J. Haller · 2011
In a typical data analysis in high-energy-physics a large number of collision events are studied.For each event the reconstruction software of the experiments stores a large number of measured event properties in sometimes complex data objects and formats.Usually this huge amount of initial data is reduced in several analysis steps, selecting a subset of interesting events and observables.In addition, the same selection is applied to simulated Monte-Carlo events and the final results are compared to the data.A fast processing of the events is mandatory for an efficient analysis.In this paper we introduce the SFrame package, a ROOT-based analysis framework, that is widely used in the context of ATLAS data analyses.It features (i) consecutive data reduction in multiple user-defined analysis cycles performing a selection of interesting events and observables, making it easy to calculate and store new derived event variables; (ii) a user-friendly combination of data and MC events using weighting techniques; and in particular (iii) a high-speed processing of the events.We study the timing performance of SFrame and find a highly superior performance compared to other analysis frameworks.