• Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning 

      Kortus, Tobias; Keidel, Ralf; Gauger, Nicolas R.; Aehle, Max; Alme, Johan; Barnaföldi, Gergely Gábor; Bodova, Tea; Borshchov, Vyacheslav; Vanden Brink, Anthony; Chaar, Mamdouh; Eikeland, Viljar Nilsen; Feofilov, Gregory; Garth, Christoph; Genov, Georgi Yordanov; Grøttvik, Ola Slettevoll; Helstrup, Håvard; Igolkin, Sergey; Kobdaj, Chinorat; Leonhardt, Viktor; Mehendale, Shruti Vineet; Mulawade, Raju Ningappa; Odland, Odd Harald; O'Neill, George; Papp, Gabor; Peitzmann, Thomas; Pettersen, Helge Egil Seime; Piersimoni, Pierluigi; Protsenko, Maksym; Rauch, Max Philip; Rehman, Attiq Ur; Richter, Matthias; Röhrich, Dieter Rudolf Christian; Santana, Joshua; Schilling, Alexander; Seco, Joao; Songmoolnak, Arnon; Sudár, Ákos; Salie, Jarle Rambo; Tambave, Ganesh Jagannath; Tymchuk, Ihor; Ullaland, Kjetil; Varga-Kofarago, Monika; Volz, Lennart; Wagner, Boris; Wendzel, Steffen; Wiebel, Alexander; Xiao, Renzheng; Yang, Shiming; Yokoyama, Hiroki; Zillien, Sebastian (Journal article; Peer reviewed, 2023)
      We propose a novel technique for reconstructing charged particles in digital tracking calorimeters using reinforcement learning aiming to benefit from the rapid progress and success of neural network architectures without ...