Abstract
During the last years ATLAS has successfully deployed a new integrated simulation framework (ISF) which allows a flexible mixture of full and fast detector simulation techniques within the processing of one event. The thereby achieved possible speed-up in detector simulation of up to a factor 100 makes subsequent digitization and reconstruction the dominant contributions to the Monte Carlo (MC) production CPU cost. The slowest components of both digitization and reconstruction are inside the Inner Detector due to the complex signal modeling needed in the emulation of the detector readout and in reconstruction due to the combinatorial nature of the problem to solve, respectively. Alternative fast approaches have been developed for these components: for the silicon based detectors a simpler geometrical clustering approach has been deployed replacing the charge drift emulation in the standard digitization modules, which achieves a very high accuracy in describing the standard output. For the Inner Detector track reconstruction, a Monte Carlo generator information based trajectory building has been deployed with the aim of bypassing the CPU intensive pattern recognition. Together with the ISF all components have been integrated into a new fast MC production chain, aiming to produce fast MC simulated data with sufficient agreement with fully simulated and reconstructed data at a processing time of seconds per event, compared to several minutes for full simulation.
Highlights
During the successful run 1 of the Large Hadron Collider (LHC) ATLAS [1] Grid CPU usage was dominated by Monte Carlo (MC) production
Besides the CPU usage ATLAS consumption of available disk-space on the GRID was dominated by storing MC event samples
This put a limit on the available MC statistics and directly limited the sensitivity of certain physics analyses
Summary
This content has been downloaded from IOPscience. Please scroll down to see the full text. Ser. 664 072024 (http://iopscience.iop.org/1742-6596/664/7/072024) View the table of contents for this issue, or go to the journal homepage for more. Download details: IP Address: 137.138.124.206 This content was downloaded on 24/02/2016 at 13:45 Please note that terms and conditions apply. 21st International Conference on Computing in High Energy and Nuclear Physics (CHEP2015) IOP Publishing. Journal of Physics: Conference Series 664 (2015) 072024 doi:10.1088/1742-6596/664/7/072024
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