The MAIA detector concept for a 10 TeV muon collider achieves over 95% reconstruction efficiency for energetic tracks, photons, and neutrons in the central region under simulated beam-induced background.
LCIO - A persistency framework for linear collider simulation studies
1 Pith paper cite this work, alongside 8 external citations. Polarity classification is still indexing.
abstract
Almost all groups involved in linear collider detector studies have their own simulation software framework. Using a common persistency scheme would allow to easily share results and compare reconstruction algorithms. We present such a persistency framework, called LCIO (Linear Collider I/O). The framework has to fulfill the requirements of the different groups today and be flexible enough to be adapted to future needs. To that end we define an `abstract object persistency layer' that will be used by the applications. A first implementation, based on a sequential file format (SIO) is completely separated from the interface, thus allowing to support additional formats if necessary. The interface is defined with the AID (Abstract Interface Definition) tool from freehep.org that allows creation of Java and C++ code synchronously. In order to make use of legacy software a Fortran interface is also provided. We present the design and implementation of LCIO.
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MAIA: A new detector concept for a 10 TeV muon collider
The MAIA detector concept for a 10 TeV muon collider achieves over 95% reconstruction efficiency for energetic tracks, photons, and neutrons in the central region under simulated beam-induced background.