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.
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Coexistence of Large-Scale Mining with Artisanal and Small-Scale Mining—A Guide for Geologists
- Award ID(s):
- 1743749
- PAR ID:
- 10390380
- Date Published:
- Journal Name:
- SEG discovery
- Issue:
- 130
- ISSN:
- 2694-0655
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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