Vertex Identification in High Energy Physics Experiments
Abstract
In High Energy Physics experiments one has to sort through a high flux of events, at a rate of tens of MHz, and select the few that are of interest. One of the key factors in making this decision is the location of the vertex where the interaction , that led to the event , took place. Here we present a novel solution to the problem of finding the location of the vertex, based on two feedforward neu(cid:173) ral networks with fixed architectures, whose parameters are chosen so as to obtain a high accuracy. The system is tested on simu(cid:173) lated data sets , and is shown to perform better than conventional algorithms.
Cite
Text
Dror et al. "Vertex Identification in High Energy Physics Experiments." Neural Information Processing Systems, 1998.Markdown
[Dror et al. "Vertex Identification in High Energy Physics Experiments." Neural Information Processing Systems, 1998.](https://mlanthology.org/neurips/1998/dror1998neurips-vertex/)BibTeX
@inproceedings{dror1998neurips-vertex,
title = {{Vertex Identification in High Energy Physics Experiments}},
author = {Dror, Gideon and Abramowicz, Halina and Horn, David},
booktitle = {Neural Information Processing Systems},
year = {1998},
pages = {868-874},
url = {https://mlanthology.org/neurips/1998/dror1998neurips-vertex/}
}