Physical review. D/Physical review. D. • Vol 108 • No 5
Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector
September 2023 • A. Tumasyan, W. Adam, Janik Walter Andrejkovic, T. Bergauer, S. Chatterjee, K. Damanakis, M. Dragicevic, A. Escalante Del Valle, R. Frühwirth, M. Jei…
A novel technique based on machine learning is introduced to reconstruct the decays of highly Lorentz \nboosted particles. Using an end-to-end deep learning strategy, the technique bypasses existing rule-based \n particle reconstruction methods typically used in high energy physics analyses. It uses minimally processed \n detector data as input and directly outputs particle properties of interest. The new technique is demonstrated \n for the reconstruction of the invariant mass of particles decayin…