Title of article :
Continuous simulation of hypothetical physics processes with multiple free parameters
Author/Authors :
Zhong، نويسنده , , Jiahang and Huang، نويسنده , , Run-Sheng and Lee، نويسنده , , Shih-Chang، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
We propose a new approach to simulate hypothetical physics processes which are defined by multiple free parameters. Compared to the conventional grid-scan approach, the new method can produce accurate estimations of the detector acceptance and signal event yields continuously over the parameter space with fewer simulation events. The performance of this method is illustrated with two realistic cases.
Keywords :
MULTIVARIATE , Bayesian neural network , Continuous simulation
Journal title :
Nuclear Instruments and Methods in Physics Research Section A
Journal title :
Nuclear Instruments and Methods in Physics Research Section A