https://doi.org/10.1140/epjc/s10052-024-12527-w
Regular Article - Experimental Physics
Invariant mass reconstruction of heavy gauge bosons decaying to 
leptons using machine learning techniques
1
Institute of Physics, Bhubaneswar, India
2
Homi Bhabha National Institute, Training School Complex, Anushakti Nagar, 400085, Mumbai, India
3
Indian Institute of Science Education and Research, Mohali, India
Received:
21
April
2023
Accepted:
6
February
2024
Published online:
2
March
2024
Many analyses are performed by the LHC experiments to search for heavy gauge bosons, which appear in several new physics models. The invariant mass reconstruction of heavy gauge bosons is difficult when they decay to leptons due to missing neutrinos in the final state. Machine learning techniques are widely utilized in experimental high-energy physics, in particular in analyzing the large amount of data produced at the LHC. In this paper, we study various machine learning techniques to reconstruct the invariant mass of 
and 
decays, which can improve the sensitivity of these searches.
© The Author(s) 2024
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