Advances in Computing in High Energy and Nuclear Physics—Invited Papers from vCHEP 2021
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear and High Energy Physics,Computer Science (miscellaneous),Software
Link
https://link.springer.com/content/pdf/10.1007/s41781-022-00083-5.pdf
Reference12 articles.
1. 25th International Conference on computing in high-energy and nuclear physics. https://indico.cern.ch/event/948465/. Accessed May 2021
2. DeZoort JG, Thais S, Duarte J, Razavimaleki V, Atkinson M, Ojalvo I, Neubauer M, Elmer P (2022) Charged particle tracking via edge-classifying interaction networks. Computing and software for big science [ref to this edition CSBS-D-21-00023]
3. Rossi M, Vallecorsa S (2022) Deep Learning strategies for ProtoDUNE raw data denoising. Computing and software for big science [ref to this edition CSBS-D-21-00017]
4. Aad G, Berthold A-S, Calvet T, Chiedde N, Fortin EM, Fritzsche N, Hentges R, Laatu LAO, Monnier E, Straessner A, Voigt JC (2022) Artificial neural networks on FPGAs for real-time energy reconstruction of the ATLAS LAr calorimeters. Computing and software for big science [ref to this edition CSBS-D-21-00020]
5. Schwanekamp H, Hohl R, Chirkin D, Gibbs T, Harnisch A, Kopper C, Messmer P, Mehta V, Olivas A, Riedel B, Rongen M, Schultz D, van Santen J (2022) Accelerating IceCube’s Photon propagation code with CUDA. Computing and software for big science [ref to this edition, CSBS-D-21-00021]
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