14-18 October 2013
Amsterdam, Beurs van Berlage
Europe/Amsterdam timezone

Challenges of the ATLAS Monte Carlo production during run 1 and beyond

17 Oct 2013, 11:22
22m
Keurzaal (Amsterdam, Beurs van Berlage)

Keurzaal

Amsterdam, Beurs van Berlage

Oral presentation to parallel session Distributed Processing and Data Handling B: Experiment Data Processing, Data Handling and Computing Models Distributed Processing and Data Handling B: Experiment Data Processing, Data Handling and Computing Models

Speaker

Wolfgang Ehrenfeld (Universitaet Bonn (DE))

Description

In this presentation we will review the ATLAS Monte Carlo production setup including the different production steps involved in full and fast detector simulation. A report on the Monte Carlo production campaigns during Run 1 and Long Shutdown 1 will be presented, including details on various performance aspects. Important improvements in the workflow and software will be highlighted. Besides standard Monte Carlo production for data analyses at 7 and 8 TeV, the production accommodates various specialised activities. These include extended Monte Carlo validation, Geant4 validation, pileup simulation using zero bias data, and production for various upgrade studies. The challenges of these activities will be discussed.

Primary author

Wolfgang Ehrenfeld (Universitaet Bonn (DE))

Co-authors

Claire Gwenlan (University of Oxford (GB)) Jiahang Zhong (University of Oxford (GB)) John Derek Chapman (University of Cambridge (GB)) Jose Enrique Garcia Navarro (Universidad de Valencia (ES)) Sascha Mehlhase (University of Copenhagen (DK))

Presentation Materials