FAMOS: A Dynamically Configurable System for Fast Simulation and Reconstruction for CMS
Stephan Wynhoff
Abstract
Detailed detector simulation and reconstruction of physics objects at the LHC are very CPU intensive and hence time consuming due to the high energy and multiplicity of the Monte-Carlo events and the complexity of the detectors. We present a dynamically configurable system for fast Monte-Carlo simulation and reconstruction (FAMOS) that has been developed for CMS to allow fast studies of large samples of Monte-Carlo events. Each single step of the chain - simulation, digitization and reconstruction, as well as combinations of chain links can be replaced by modules that sacrifice precision for speed. Fast and detailed modules have identical interfaces so that a change is fully transparent for the user. Currently, a complete set of the fastest possible implementation, i.e. going directly from the Monte-Carlo truth to reconstructed objects, has been implemented. It is about hundred to thousand times faster than the fully detailed simulation/reconstruction and provides tracks reconstructed by the inner tracker, clusters in calorimeters and trigger-Lvl1 objects and tracks reconstructed for the muon system of the CMS detector.
Create a lesson
Related papers
How durable are high-performance racing shoes?
Jeremy A. McCulloch, Ellen Kuhl
Correlation-Free Transition Path Sampling through Shooting Point Generation Guided by Committor Learning
Maximilian Negedly, Sebastian Falkner, Alessandro Coretti et al.
Exergy-Anergy Representation of Turbomachine Performance Characteristics
Tihomir Varchev, Yiwen Yuan, Tobias Schateikis et al.
Mollified-sharp decomposition: a probabilistic regularization of parametric POD for shock-bearing flows
Oliver T. Schmidt
Load balancing for adaptive-precision interatomic potentials in materials science
David Immel, Godehard Sutmann
Braided endovascular implants for intracranial aneurysms: mechanics, hemodynamics, and clinical translation
Ratnadeep Pramanik, Duygu Dengiz, Mariya S. Pravdivtseva et al.