Now showing items 1-3 of 3

  • Aehle, Max; Alme, Johan; Gábor Barnaföldi, Gergely; Blühdorn, Johannes; 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; Kusch, Lisa; Leonhardt, Viktor; Mehendale, Shruti Vineet; Ningappa Mulawade, Raju; Odland, Odd Harald; O'Neill, George; Papp, Gábor; Peitzmann, Thomas; Pettersen, Helge Egil Seime; Piersimoni, Pierluigi; Pochampalli, Rohit; Protsenko, Maksym; Rauch, Max Philip; Rehman, Attiq Ur; Richter, Matthias; Röhrich, Dieter Rudolf Christian; Sagebaum, Max; Santana, Joshua; Schilling, Alexander; 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 / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
    Objective. Gradient-based optimization using algorithmic derivatives can be a useful technique to improve engineering designs with respect to a computer-implemented objective function. Likewise, uncertainty quantification ...
  • Pettersen, Helge Egil Seime; Volz, Lennart; Sølie, Jarle Rambo; Alme, Johan; Barnaföldi, Gergely Gábor; Barthel, Rene; van den Brink, Anthony; Borshchov, Vyacheslav; Chaar, Mamdouh; Eikeland, Viljar Nilsen; Genov, Georgi; Grøttvik, Ola Slettevoll; Helstrup, Håvard; Keidel, Ralf; Kobdaj, Chinorat; van der Kolk, Naomi; Mehendale, Shruti Vineet; Meric, Ilker; Odland, Odd Harald; Papp, Gábor; Peitzmann, Thomas; Piersimoni, Pierluigi; Protsenko, Maksym; Rehman, Attiq Ur; Richter, Matthias; Samnøy, Andreas Tefre; Seco, Joao; Shafiee, Hesam; Songmoolnak, Arnon; Tambave, Ganesh Jagannath; Tymchuk, Ihor; Ullaland, Kjetil; Varga-Kofarago, Monika; Wagner, Boris; Xiao, Renzheng; Yang, Shiming; Yokoyama, Hiroki; Röhrich, Dieter Rudolf Christian (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2021)
    Radiation therapy using protons and heavier ions is a fast-growing therapeutic option for cancer patients. A clinical system for particle imaging in particle therapy would enable online patient position verification, ...
  • 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 / Tidsskriftartikkel / PublishedVersion; 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 ...