Speaker
Benjamin Lillard
(University of California, Irvine)
Description
We introduce a new approach for the global analysis of kinematic distributions, using a wavelet transformation to search for signals of new physics. Many LHC analyses search for bumps or other anomalous patterns as local deviations from a background model. Wavelets allow us to extract global information from the entire distribution, while retaining the local aspect of simple modifications. We propose a systematic visualization and analysis in terms of wavelet coefficients and show how for example bumps, bump-dip combinations, and oscillation patterns are extracted efficiently. Our package is publicly available online as the Kinematic Wavelet Analysis Kit (KWAK).
Authors
Benjamin Lillard
(University of California, Irvine)
Tim M.P. Tait
(University of California, Irvine)
Tilman Plehn
Alexis Romero
