• Toward the end-to-end optimization of particle physics instruments with differentiable programming 

      Dorigo, Tommaso; Giammanco, Andrea; Vischia, Pietro; Aehle, Max; Bawaj, Mateusz; Boldyrev, Alexey; de Castro Manzano, Pablo; Derkach, Denis; Donini, Julien; Edelen, Auralee; Fanzago, Federica; Gauger, Nicolas R.; Glaser, Christian; Baydin, Atılım G.; Heinrich, Lukas; Keidel, Ralf; Kieseler, Jan; Krause, Claudius; Lagrange, Maxime; Lamparth, Max; Layer, Lukas; Maier, Gernot; Nardi, Federico; Pettersen, Helge Egil Seime; Ramos, Alberto; Ratnikov, Fedor; Röhrich, Dieter; de Austri, Roberto Ruiz; del Árbol, Pablo Martínez Ruiz; Savchenko, Oleg; Simpson, Nathan; Strong, Giles C.; Taliercio, Angela; Tosi, Mia; Ustyuzhanin, Andrey; Zaraket, Haitham (Journal article; Peer reviewed, 2023)
      The full optimization of the design and operation of instruments whose functioning relies on the interaction of radiation with matter is a super-human task, due to the large dimensionality of the space of possible choices ...
    • 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 ...
    • Uncertainty-aware spot rejection rate as quality metric for proton therapy using a digital tracking calorimeter 

      Schilling, Alexander; Aehle, Max; Alme, Johan; Barnaföldi, Gergely Gábor; Bodova, Tea; Borshchov, Vyacheslav; van den Brink, Anthony; Eikeland, Viljar Nilsen; Feofilov, Gregory; Garth, Christoph; Gauger, Nicolas R.; Grøttvik, Ola Slettevoll; Helstrup, Håvard; Igolkin, Sergey; Keidel, Ralf; Kobdaj, Chinorat; Kortus, Tobias; Leonhardt, Viktor; Mehendale, Shruti Vineet; Ningappa Mulawade, Raju; Odland, Odd Harald; O'Neill, George; Papp, Gábor; Peitzmann, Thomas; Pettersen, Helge Egil Seime; Piersimoni, Pierluigi; Protsenko, Maksym; Rauch, Max Philip; Rehman, Attiq Ur; Richter, Matthias; Röhrich, Dieter; Santana, Joshua; Seco, Joao; Songmoolnak, Arnon; Sudár, Ákos; Tambave, Ganesh Jagannath; Tymchuk, Ihor; Ullaland, Kjetil; Varga-Kofarago, Monika; Volz, Lennart; Wagner, Boris; Wendzel, Steffen; Wiebel, Alexander; Xiao, Renzheng; Yang, Shiming; Zillien, Sebastian (Journal article; Peer reviewed, 2023)
      Objective. Proton therapy is highly sensitive to range uncertainties due to the nature of the dose deposition of charged particles. To ensure treatment quality, range verification methods can be used to verify that the ...