Jet-images: computer vision inspired techniques for jet tagging
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We introduce a novel approach to jet tagging and classification through the use of techniques inspired by computer vision. Drawing parallels to the problem of facial recognition in images, we define a jet-image using calorimeter towers as the elements of the image and establish jet-image preprocessing methods. For the jet-image processing step, we develop a discriminant for classifying the jet-images derived using Fisher discriminant analysis. The effectiveness of the technique is shown within the context of identifying boosted hadronic W boson decays with respect to a background of quark- and gluoninitiated jets. Using Monte Carlo simulation, we demonstrate that the performance of this technique introduces additional discriminating power over other substructure approaches, and gives significant insight into the internal structure of jets.
KeywordsJets Hadronic Colliders
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- L. Evans and P. Bryant, LHC Machine, 2008 JINST 3 S08001 [INSPIRE].
- T. Oliphant et al., NumPy: Open source numerical computation tools for Python, http://www.numpy.org/ (1995).
- E. Jones et al., SciPy: Open source scientific tools for Python, http://www.scipy.org/ (2001).
- ATLAS collaboration, The ATLAS Experiment at the CERN Large Hadron Collider, 2008 JINST 3 S08003 [INSPIRE].
- CMS collaboration, The CMS experiment at the CERN LHC, 2008 JINST 3 S08004 [INSPIRE].
- J.J. Sylvester, A demonstration of the theorem that every homogeneous quadratic polynomial is reducible by real orthogonal substitutions to the form of a sum of positive and negative square, Phil. Mag. 4 (1852) 138.Google Scholar
- M. Cacciari, G.P. Salam and G. Soyez, “Fastjet: A software package for jet finding in pp and e+ e- collisions.” http://fastjet.fr/ (2005).