Spectral clustering for jet physics
Spectral clustering for jet physics
We present a new approach to jet definition alternative to clustering methods, such as the anti-kT scheme, that exploit kinematic data directly. Instead the newmethod uses kinematic information to represent the particles in a multidimensional space, as in spectral clustering. After confirming its Infra-Red (IR) safety, we compare its performance in analysing gg → H125 GeV → H40 GeVH40 GeV → b¯bb¯b, gg → H500 GeV → H125 GeVH125 GeV → b¯bb¯b and gg, qq¯ → tt¯ → b¯bW+W− → b¯bjjlνl events from Monte Carlo (MC) samples, specifically, in reconstructing the relevant final states, to that of the anti-kT algorithm. Finally, we show that the results for spectral clustering are obtained without any change in the parameter settings of the algorithm, unlike the anti-kT case, which requires the cone size to be adjusted to the physics process under study.
Cerro, Giorgio
c4363eb0-a9d8-4456-b749-6d4380898b25
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Day-Hall, Henry A.
80238938-caa4-4807-8903-358e279f16d3
Ford, Billy
6939726b-5bd3-4362-a260-d49b40872fe6
Moretti, Stefano
b57cf0f0-4bc3-4e02-96e3-071255366614
Shepherd-Themistocleous, Claire H.
02e9b880-a622-4ad1-9b20-db7ed25b2fa8
21 February 2022
Cerro, Giorgio
c4363eb0-a9d8-4456-b749-6d4380898b25
Dasmahapatra, Srinandan
eb5fd76f-4335-4ae9-a88a-20b9e2b3f698
Day-Hall, Henry A.
80238938-caa4-4807-8903-358e279f16d3
Ford, Billy
6939726b-5bd3-4362-a260-d49b40872fe6
Moretti, Stefano
b57cf0f0-4bc3-4e02-96e3-071255366614
Shepherd-Themistocleous, Claire H.
02e9b880-a622-4ad1-9b20-db7ed25b2fa8
Cerro, Giorgio, Dasmahapatra, Srinandan, Day-Hall, Henry A., Ford, Billy, Moretti, Stefano and Shepherd-Themistocleous, Claire H.
(2022)
Spectral clustering for jet physics.
Journal of High Energy Physics, 2022, [165].
(doi:10.1007/JHEP02(2022)165).
Abstract
We present a new approach to jet definition alternative to clustering methods, such as the anti-kT scheme, that exploit kinematic data directly. Instead the newmethod uses kinematic information to represent the particles in a multidimensional space, as in spectral clustering. After confirming its Infra-Red (IR) safety, we compare its performance in analysing gg → H125 GeV → H40 GeVH40 GeV → b¯bb¯b, gg → H500 GeV → H125 GeVH125 GeV → b¯bb¯b and gg, qq¯ → tt¯ → b¯bW+W− → b¯bjjlνl events from Monte Carlo (MC) samples, specifically, in reconstructing the relevant final states, to that of the anti-kT algorithm. Finally, we show that the results for spectral clustering are obtained without any change in the parameter settings of the algorithm, unlike the anti-kT case, which requires the cone size to be adjusted to the physics process under study.
Text
JHEP02(2022)165
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Accepted/In Press date: 6 February 2022
Published date: 21 February 2022
Identifiers
Local EPrints ID: 501850
URI: http://eprints.soton.ac.uk/id/eprint/501850
ISSN: 1126-6708
PURE UUID: 244bd968-3004-4b60-acde-e9018d306a79
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Date deposited: 11 Jun 2025 16:45
Last modified: 22 Aug 2025 01:51
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Contributors
Author:
Srinandan Dasmahapatra
Author:
Henry A. Day-Hall
Author:
Billy Ford
Author:
Claire H. Shepherd-Themistocleous
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