Implementation of the ATLAS Run 2 event data model

Apr 13, 2015, 4:45 PM
Auditorium (Auditorium)



oral presentation Track2: Offline software Track 2 Session


Scott Snyder (Brookhaven National Laboratory (US))


During the 2013-2014 shutdown of the Large Hadron Collider, ATLAS switched to a new event data model for analysis, called the xAOD. A key feature of this model is the separation of the object data from the objects themselves (the `auxiliary store'). Rather being stored as member variables of the analysis classes, all object data are stored separately, as vectors of simple values. Thus, the data are stored in a `structure of arrays' format, while the user still can access it as an `array of structures'. This organization allows for on-demand partial reading of objects, the selective removal of object properties, and the addition of arbitrary user-defined properties in a uniform manner. It also improves performance by increasing the locality of memory references in typical analysis code. The resulting data structures can be written to ROOT files with data properties represented as simple ROOT tree branches. This talk will focus on the design and implementation of the auxiliary store and its interaction with ROOT. Results on reconstruction and analysis performance will also be discussed.

Primary author

Scott Snyder (Brookhaven National Laboratory (US))


Attila Krasznahorkay (CERN) Dag Gillberg (CERN) Edward Moyse (University of Massachusetts (US)) Karsten Koeneke (Albert-Ludwigs-Universitaet Freiburg (DE)) Marcin Nowak (Brookhaven National Laboratory (US)) Markus Elsing (CERN) Dr Peter Van Gemmeren (Argonne National Laboratory (US)) Till Eifert (CERN)

Presentation materials