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Title: Multi-scale mining of kinematic distributions with wavelets
Typical LHC analyses search for local features in kinematicdistributions. Assumptions about anomalous patterns limit them to arelatively narrow subset of possible signals. Wavelets extractinformation from an entire distribution and decompose it at all scales,simultaneously searching for features over a wide range of scales. Wepropose a systematic wavelet analysis and show how bumps, bump-dipcombinations, and oscillatory patterns are extracted. Our kinematicwavelet analysis kit KWAK provides a publicly available framework toanalyze and visualize general distributions.
Authors:
; ; ;
Award ID(s):
1633631
Publication Date:
NSF-PAR ID:
10310853
Journal Name:
SciPost Physics
Volume:
8
Issue:
3
ISSN:
2542-4653
Sponsoring Org:
National Science Foundation
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