Monte Carlo Production Management at CMS

G Boudoul,G Franzoni,A Norkus,A Pol,P Srimanobhas,J-R Vlimant

doi:10.1088/1742-6596/664/7/072018

Abstract

The analysis of the LHC data at the Compact Muon Solenoid (CMS) experiment requires the production of a large number of simulated events. During the RunI of LHC (20102012), CMS has produced over 12 Billion simulated events, organized in approximately sixty different campaigns each emulating specific detector conditions and LHC running conditions (pile up). In order to aggregate the information needed for the configuration and prioritization of the events production, assure the book-keeping of all the processing requests placed by the physics analysis groups, and to interface with the CMS production infrastructure, the web- based service Monte Carlo Management (McM) has been developed and put in production in 2013. McM is based on recent server infrastructure technology (CherryPy + AngularJS) and relies on a CouchDB database back-end. This contribution covers the one and half year of operational experience managing samples of simulated events for CMS, the evolution of its functionalities and the extension of its capability to monitor the status and advancement of the events production.

Highlights

The Compact Muon Solenoid (CMS) experiment [1] is an omni-purpose detector operating at the Large Hadron Collider [2] at CERN
In order to aggregate the information needed for the configuration and prioritization of the events production, assure the book-keeping of all the processing requests placed by the physics analysis groups, and to interface with the CMS production infrastructure, the webbased service Monte Carlo Management (McM) has been developed and put in production in 2013
This paper describes the procedures and infrastructure used by CMS to produce simulated events, and is structured as follows: the roles involved in the procedures are outlined first, followed by the description of the web-based platform (McM) used to aggregate and submit the processing requests to the CMS computing infrastructure

Summary

Introduction

The Compact Muon Solenoid (CMS) experiment [1] is an omni-purpose detector operating at the Large Hadron Collider [2] at CERN. In order to aggregate the information needed for the configuration and prioritization of the events production, assure the book-keeping of all the processing requests placed by the physics analysis groups, and to interface with the CMS production infrastructure, the webbased service Monte Carlo Management (McM) has been developed and put in production in 2013.

Results

Conclusion