Speaker
Description
Many HEP analyses rely on histograms for statistical interpretation of the experimental data, and use them as data structures that can be computed with, in addition to their visual aspects. ROOT’s histogram package was developed in the 90’s and has been widely used during the past 30 years. Despite its success, the design starts to show limitations for modern analyses and the classes lack some capabilities expected from modern histograms, such as user-defined bin content types and efficient concurrent filling. In this contribution, we will discuss ROOT’s new histograms and compare their features to existing packages. We will present the current status and highlight the key concepts. We will also discuss performance results and its ongoing integration into RDataFrame and experiment frameworks. Finally, we will comment about release timelines and future plans.