1.3k citations · 7k across the 69 of their papers we have counts for
73 papers
Machine learning techniques for jet reconstruction at LHCb and application to the search for and in TeV collisions
LHCb collaboration, R. Aaij, A. S. W. Abdelmotteleb +1194
Two machine learning techniques for jet measurements at the LHCb experiment are presented: a regression-based method for jet-energy calibration and a deep neural network algorithm…
Interim report for the International Muon Collider Collaboration (IMCC)
C. Accettura, S. Adrian, R. Agarwal +383
The International Muon Collider Collaboration (IMCC) [1] was established in 2020 following the recommendations of the European Strategy for Particle Physics (ESPP) and the implemen…
Higgs Physics at a TeV Muon Collider with detailed detector simulation
Paolo Andreetto, Nazar Bartosik, Laura Buonincontri +24
The Muon Collider is one of the most promising future collider facilities with the potential to reach multi-TeV center-of-mass energy and high luminosity. Due to the significant Hi…
Towards a Muon Collider
Carlotta Accettura, Dean Adams, Rohit Agarwal +294
A muon collider would enable the big jump ahead in energy reach that is needed for a fruitful exploration of fundamental interactions. The challenges of producing muon collisions a…
Promising Technologies and R&D Directions for the Future Muon Collider Detectors
Sergo Jindariani, Federico Meloni, Nadia Pastrone +58
Among the post-LHC generation of particle accelerators, the muon collider represents a unique machine with capability to provide very high energy leptonic collisions and to open th…
Quantum computing for data analysis in high energy physics
Andrea Delgado, Kathleen E. Hamilton, Prasanna Date +22
Some of the biggest achievements of the modern era of particle physics, such as the discovery of the Higgs boson, have been made possible by the tremendous effort in building and o…