Rave - Reconstruction in an Abstract, Versatile Environment
A toolkit is presented that takes a set of reconstructed particle tracks as
its input and produces reconstructed interaction vertices as its output.
It deals both with finding (pattern recognition) and with fitting (statistical
estimation) of the interaction vertices.
Its main design goals are ease of use, high integratability in existing
software projects, extensibility, and generality.
To this end the API is defined in an as simple as possible way.
The various algorithms, and optionally, their parameter settings, are referenced by
a simple string. This guarantees that the user code decouples completely from the toolkit
internals. Also, maintaining backwards compatibility should become a trivial task.
The Rave Toolkit is complemented by a simple standalone framework, called "Vertigo".
Implementation, verification, and performance analysis of reconstruction algorithms
should thus be possible in a very fast and straightforward manner.
Rave has its roots in the CMS vertex reconstruction community. The current algorithmic
parts of the toolkit are source code compatible with the original CMS software, but
contributions from "outside" are highly welcome.
B-tagging facilities are work in progress; kinematic fitting is a future addendum.
See the Wiki page for more information