Speaker
Michele Pioppi
(CERN)
Description
In the CMS software, a dedicated electron track reconstruction algorithm, based on a
Gaussian Sum Filter (GSF), is used. This algorithm is able to follow an electron
along its complete
path up to the electromagnetic calorimeter, even in the case of a large amount of
Bremsstrahlung emission. Because of the significant CPU consumption of this
algorithm, however, it can be run only on a limited number of electron candidates.
The standard GSF electron track reconstruction is triggered by the presence of high
energy isolated electromagnetic clusters. Instead, a pre-identification algorithm
based on both the tracker and the calorimeter has recently been developed. It allows
electron tracks to be reconstructed within jets with a good efficiency
even for small electron transverse momentum. This algorithm as well as its
performance in terms of efficiency, mis-identification probability and timing are
presented. Its implementation within the particle-flow algorithm is also described.
| Submitted on behalf of Collaboration (ex, BaBar, ATLAS) | CMS |
|---|
Primary author
Michele Pioppi
(CERN)
