Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10934
Title: Toward particle-level filtering of individual collision events at the Large Hadron Collider and beyond
Authors: Colecchia, F
Keywords: Particle-by-particle filtering;Large Hadron Collider;Individual collision events
Issue Date: 2014
Publisher: Institute of Physics Publishing
Citation: Journal of Physics: Conference Series, 490 (1): 012226, (2014)
Abstract: Low-energy strong interactions are a major source of background at hadron colliders, and methods of subtracting the associated energy flow are well established in the field. Traditional approaches treat the contamination as diffuse, and estimate background energy levels either by averaging over large data sets or by restricting to given kinematic regions inside individual collision events. On the other hand, more recent techniques take into account the discrete nature of background, most notably by exploiting the presence of substructure inside hard jets, i.e. inside collections of particles originating from scattered hard quarks and gluons. However, none of the existing methods subtract background at the level of individual particles inside events. We illustrate the use of an algorithm that will allow particle-by-particle background discrimination at the Large Hadron Collider, and we envisage this as the basis for a novel event filtering procedure upstream of the official reconstruction chains. Our hope is that this new technique will improve physics analysis when used in combination with state-of-the-art algorithms in high-luminosity hadron collider environments.
URI: http://iopscience.iop.org/1742-6596/490/1/012226/
http://bura.brunel.ac.uk/handle/2438/10934
DOI: http://dx.doi.org/10.1088/1742-6596/490/1/012226
ISSN: 1742-6588
1742-6596
Appears in Collections:Dept of Computer Science Research Papers

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