A Comparative Study of Amplitude and Timing Estimation in Experimental Particle Physics using Monte Carlo Simulation
Author(s) -
Hongda Xu,
D. Gong,
Yun Chiu
Publication year - 2013
Publication title -
journal of modern physics
Language(s) - English
Resource type - Journals
eISSN - 2153-120X
pISSN - 2153-1196
DOI - 10.4236/jmp.2013.45b009
Subject(s) - monte carlo method , amplitude , statistical physics , physics , computation , nonlinear system , noise (video) , signal (programming language) , pulse (music) , computational physics , algorithm , mathematics , computer science , optics , statistics , quantum mechanics , artificial intelligence , detector , image (mathematics) , programming language
Optimal detection of liquid ionization calorimeter signal in experimental particle physics is considered. A few linear and nonlinear approaches for amplitude and arrival time estimation based on the χ2 function are compared in simulation considering the noise sample correlation introduced by the analog pulse shaper. The estimation bias of the first-order approximation, a.k.a linear optimal filtering, is studied and contrasted to those of the second-order as well as the exhaustive search. A gradient-descent technique is presented as an alternative to the exhaustive search with significantly reduced search time and computation complexity. Results from various pulse shapers including the CR-RC2, CR-RC3, and CR2-RC2 are also compared.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom