Pattern recognition and track fitting in central trackers | Zendy

N. Graf | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Pattern recognition and track fitting in central trackers

Author(s) -

N. Graf

Publication year - 2001

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.177

H-Index - 75

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.1394438

Subject(s) - modular design , track (disk drive) , computer science , bittorrent tracker , collider , detector , range (aeronautics) , extensibility , software , particle filter , artificial intelligence , physics , programming language , aerospace engineering , kalman filter , engineering , operating system , particle physics , telecommunications , eye tracking

We present a fully object-oriented framework which provides the tools for track finding and fitting in a particle physics detector. The software is modular and extensible so that it can be applied to a wide range of detectors and can be finely tuned to optimize performance. We believe that this package can provide a common solution to the requirements of the Linear Collider simulation community.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research