Physics – Data Analysis – Statistics and Probability
Scientific paper
1999-12-16
Nucl.Instrum.Meth. A450 (2000) 138-154
Physics
Data Analysis, Statistics and Probability
27 pages including 10 figures. To appear in NIM
Scientific paper
10.1016/S0168-9002(00)00154-6
We give an overview of track fitting using the Kalman filter method in the NOMAD detector at CERN, and emphasize how the wealth of by-product information can be used to analyze track breakpoints (discontinuities in track parameters caused by scattering, decay, etc.). After reviewing how this information has been previously exploited by others, we describe extensions which add power to breakpoint detection and characterization. We show how complete fits to the entire track, with breakpoint parameters added, can be easily obtained from the information from unbroken fits. Tests inspired by the Fisher F-test can then be used to judge breakpoints. Signed quantities (such as change in momentum at the breakpoint) can supplement unsigned quantities such as the various chisquares. We illustrate the method with electrons from real data, and with Monte Carlo simulations of pion decays.
Astier Pierre
Cardini Alessandro
Cousins Robert D.
Letessier-Selvon Antoine
Popov Boris A.
No associations
LandOfFree
Kalman Filter Track Fits and Track Breakpoint Analysis does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Kalman Filter Track Fits and Track Breakpoint Analysis, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Kalman Filter Track Fits and Track Breakpoint Analysis will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-245131