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ORCIDComputing and Software for Big Science, Volume 6
Volume 6, Number 1, December 2022
- Tobias Wegner
, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz:
Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science. - Hendrik Schwanekamp, Ramona Hohl, Dmitry Chirkin, Tom Gibbs, Alexander Harnisch, Claudio Kopper, Peter Messmer, Vishal Mehta, Alexander R. Olivas, Benedikt Riedel, Martin Rongen, David Schultz, Jakob van Santen:
Accelerating IceCube's Photon Propagation Code with CUDA. - ATLAS Collaboration:
Emulating the impact of additional proton-proton interactions in the ATLAS simulation by presampling sets of inelastic Monte Carlo events. - Marco Rossi, Sofia Vallecorsa:
Deep Learning Strategies for ProtoDUNE Raw Data Denoising. - Roel Aaij, Marta Adinolfi, Salvatore Aiola, S. Akar, Johannes Albrecht, M. Alexander, S. Amato, Yasmine Amhis, F. Archilli, M. Bala, G. Bassi, L. Bian, M. P. Blago, Thomas Boettcher, A. Boldyrev, S. Borghi, A. Brea Rodriguez, Lukas Calefice, M. Calvo Gomez, Daniel Hugo Cámpora Pérez, A. Cardini, Marco Cattaneo, V. Chobanova, G. Ciezarek, X. Cid Vidal, J. L. Cobbledick, J. A. B. Coelho, Tommaso Colombo, A. Contu, Benjamin Couturier, Daniel C. Craik, R. Currie, P. d'Argent, Michel De Cian, Denis Derkach, F. Dordei, Marco Dorigo, L. Dufour, Paolo Durante, A. Dziurda, A. Dzyuba, S. Easo, S. Esen, Placido Fernandez Declara, S. Filippov, Conor Fitzpatrick, M. Frank, Paolo Gandini, Vladimir V. Gligorov, Elisabet Golobardes, G. Graziani, L. Grillo, P. A. Günther, S. Hansmann-Menzemer, Arthur M. Hennequin, Louis Henry, D. Hill, S. E. Hollitt, J. Hu, W. Hulsbergen, R. J. Hunter, Mikhail Hushchyn, Brij Kishor Jashal, Christopher Robert Jones, S. Klaver, Konrad Klimaszewski, R. Kopecna, Wojciech Krzemien, Marcin Kucharczyk, R. Lane, Federico Lazzari, R. Le Gac, P. Li, J. H. Lopes, M. Lucio Martinez, A. Lupato, Oliver Lupton, X. Lyu, F. Machefert, O. Madejczyk, S. Malde, J. F. Marchand, Saverio Mariani, Carla Marin Benito, D. Martinez Santos, F. Martinez Vidal, R. Matev, Michal Mazurek, B. Mitreska, D. S. Mitzel, Michael Joseph Morello, H. Mu, P. Muzzetto, P. Naik, Matthew D. Needham, N. Neri, Niko Neufeld, N. S. Nolte, Daniel O'Hanlon, A. Oyanguren Campos, M. Pepe Altarelli, S. Petrucci, Marco Petruzzo, L. Pica, Flavio Pisani, A. Piucci, Francesco Polci, A. Poluektov, E. Polycarpo, C. Prouve, Giovanni Punzi, Renato Quagliani, R. I. Rabadan Trejo, M. Ramos Pernas, M. S. Rangel, Fedor Ratnikov, G. Raven, F. Reiss, V. Renaudin, P. Robbe, Artem Ryzhikov, Marco Santimaria, M. Saur, Manuel T. Schiller, Rainer Schwemmer, Barbara Sciascia, A. Solomin, F. Suljik, Nicola Skidmore, Michael D. Sokoloff, P. Spradlin, M. Stahl, S. Stahl, H. Stevens, L. Sun, A. Szabelski, Tomasz Szumlak, M. Szymanski, D. Y. Tou, Giulia Tuci, A. Usachov, Núria Valls Canudas, R. Vazquez Gomez, Stefania Vecchi, Mika Vesterinen, Xavier Vilasís-Cardona, Dorothea Vom Bruch, Z. Wang, Tomasz Wojton, Mark Whitehead, Mike Williams, Mariusz Witek, Y. Xie, A. Xu, H. Yin, Milosz Zdybal, O. Zenaiev, D. Zhang, L. Zhang, X. Zhu, The LHCb Collaboration:
A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger. - ATLAS Collaboration:
AtlFast3: The Next Generation of Fast Simulation in ATLAS. 7 - Fernando Febres Cordero, Andreas von Manteuffel, Tobias Neumann:
Computational Challenges for Multi-loop Collider Phenomenology. 14 - Annika Stein, Xavier Coubez, Spandan Mondal, Andrzej Novak, Alexander Schmidt:
Improving Robustness of Jet Tagging Algorithms with Adversarial Training. 15 - Luca Clissa, Mario Lassnig, Lorenzo Rinaldi:
Analyzing WLCG File Transfer Errors Through Machine Learning. 16 - Benjamin Nachman:
When, Where, and How to Open Data: a Personal Perspective. 17 - Philipp Alexander Jung, Bernardo Ary dos Santos, Dominik Bergermann, Tim Graulich, Maximilian Lohmann, Andrzej Novak, Erdem Öz, Ali Riahinia, Alexander Schmidt:
Simulation of Dielectric Axion Haloscopes with Deep Neural Networks: A Proof-of-Principle. 18 - Felix Wagner, Daniel Bartolot, Damir Rizvanovic, Florian Reindl, Jochen Schieck, Wolfgang Waltenberger:
Cait: Analysis Toolkit for Cryogenic Particle Detectors in Python. 19 - Xiaocong Ai, Corentin Allaire, Noemi Calace, Angéla Czirkos, Markus Elsing, Irina Ene, Ralf Farkas, Louis-Guillaume Gagnon, Rocky Garg, Paul Gessinger, Hadrien Grasland, Heather M. Gray, Christian Gumpert, Julia Hrdinka, Benjamin Huth, Moritz Kiehn, Fabian Klimpel, Bernadette Kolbinger, Attila Krasznahorkay, Robert Langenberg, Charles Leggett, Georgiana Mania, Edward Moyse, Joana Niermann, Joseph D. Osborn, David Rousseau, Andreas Salzburger, Bastian Schlag, Lauren Tompkins, Tomohiro Yamazaki, Beomki Yeo, Jin Zhang:
A Common Tracking Software Project. - Lisa Benato, Erik Buhmann, Martin Erdmann, Peter Fackeldey, Jonas Glombitza, Nikolai Hartmann, Gregor Kasieczka, William Korcari, Thomas Kuhr, Jan Steinheimer, Horst Stöcker, Tilman Plehn, Kai Zhou:
Shared Data and Algorithms for Deep Learning in Fundamental Physics. - Ian Bird, Simone Campana, Graeme A. Stewart:
Advances in Computing in High Energy and Nuclear Physics - Invited Papers from vCHEP 2021. - Teng Jian Khoo, Allison Reinsvold Hall, Nicola Skidmore, S. Alderweireldt, J. Anders, Christopher Burr, W. Buttinger, P. David, L. Gouskos, L. Gray, Stefan Hageböck, Attila Krasznahorkay, Paul Laycock, Alison Lister, Z. Marshall, A. B. Meyer, T. Novak, S. Rappoccio, Martin Ritter, E. Rodrigues, J. Rumsevicius, L. Sexton-Kennedy, N. Smith, Graeme A. Stewart, S. Wertz:
Constraints on Future Analysis Metadata Systems in High Energy Physics. - Joaquin Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz:
Modelling Large-Scale Scientific Data Transfers. - Harry Enke, Andreas Haungs, Thomas Schörner-Sadenius, Kilian Schwarz, Markus Demleitner, Achim Geiser, Lukas Heinrich, Michael Kramer, Gernot Maier, Dominik Schwarz, Hendrik Seitz-Moskaliuk, Hubert Simma, Michael Sterzik, Stefan Typel:
Survey of Open Data Concepts Within Fundamental Physics: An Initiative of the PUNCH4NFDI Consortium. - Markus Diefenthaler, Torre J. Wenaus:
Future Trends in Nuclear Physics Computing.
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