The ATLAS Fast Monte Carlo Production Chain Project

21st International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Jansky, Roland^1

University of Innsbruck, Innsbruck, Austria^1

关键词: Clustering approach;    Detector readout;    Detector simulations;    Dominant contributions;    Integrated simulations;    Monte Carlo generator;    Production chain;    Track reconstruction;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/664/7/072024/pdf
DOI  :  10.1088/1742-6596/664/7/072024

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.