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On the Frequency Distribution of Neutral Particles from Low-Energy Strong Interactions

Colecchia, F; Khan, A; (2017) On the Frequency Distribution of Neutral Particles from Low-Energy Strong Interactions. Advances in High Energy Physics , Article 8018470. 10.1155/2017/8018470. Green open access

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Abstract

The rejection of the contamination, or background, from low-energy strong interactions at hadron collider experiments is a topic that has received significant attention in the field of particle physics. This article builds on a particle-level view of collision events, in line with recently proposed subtraction methods. While conventional techniques in the field usually concentrate on probability distributions, our study is, to our knowledge, the first attempt at estimating the frequency distribution of background particles across the kinematic space inside individual collision events. In fact, while the probability distribution can generally be estimated given a model of low-energy strong interactions, the corresponding frequency distribution inside a single event typically deviates from the average and cannot be predicted a priori. We present preliminary results in this direction and establish a connection between our technique and the particle weighting methods that have been the subject of recent investigation at the Large Hadron Collider.

Type: Article
Title: On the Frequency Distribution of Neutral Particles from Low-Energy Strong Interactions
Open access status: An open access version is available from UCL Discovery
DOI: 10.1155/2017/8018470
Publisher version: http://dx.doi.org/10.1155/2017/8018470
Language: English
Additional information: © 2017 Federico Colecchia and Akram Khan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The publication of this article was funded by SCOAP3.
Keywords: Science & Technology, Physical Sciences, Physics, Particles & Fields, Physics
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/10055726
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