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Alternative methods to interpret LHC data in busy hadronic final states may involve the use of image processing techniques (Fourier, Wavelets) to find energy patterns simultaneously at different spacial resolution scales \[3\]. Such techniques can be applied to the input calorimeter signals in ATLAS, represented by energy depositions in a 2-dimensional (phi vs rapidity) spacial grid as shown in the next figure: !Picture 5.png|align=center! |
This project consists of studying the performance of Fourier-based jet reconstruction algorithms in multi-jet events, and its application to the study of simulated Hidden Valley signals in the ATLAS detector.
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