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ORCIDComputing and Software for Big Science, Volume 5
Volume 5, Number 1, December 2021
- Domenico Giordano, Manfred Alef, Luca Atzori, Jean-Michel Barbet, Olga Datskova, Maria Girone, Christopher Hollowell, Martina Javurkova, Riccardo Maganza, Miguel Fontes Medeiros
, Michele Michelotto, Lorenzo Rinaldi, Andrea Sciabà, Randall J. Sobie, David Southwick, Tristan Sullivan, Andrea Valassi:
HEPiX Benchmarking Solution for WLCG Computing Resources. - Jamie Heredge, Charles D. Hill, Lloyd C. L. Hollenberg, Martin Sevior:
Quantum Support Vector Machines for Continuum Suppression in B Meson Decays. - Gage DeZoort, Savannah Thais, Javier M. Duarte, Vesal Razavimaleki, Markus Atkinson, Isobel Ojalvo, Mark S. Neubauer, Peter Elmer:
Charged Particle Tracking via Edge-Classifying Interaction Networks. - Andreas J. Peters, Daniel C. van der Ster:
Evaluating CephFS Performance vs. Cost on High-Density Commodity Disk Servers. - Oliver Freyermuth, Katrin Kohl, Peter Wienemann:
Unleashing JupyterHub: Exploiting Resources Without Inbound Network Connectivity Using HTCondor. - Joseph D. Osborn, Anthony D. Frawley, Jin Huang, Sookhyun Lee, Hugo Pereira Da Costa, Michael Peters, Christopher Pinkenburg, Christof Roland, Haiwang Yu:
Implementation of ACTS into sPHENIX Track Reconstruction. - Sudhir Malik, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel Hernández Villanueva, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan:
Software Training in HEP. - Nazar Bartosik, Paolo Andreetto, Laura Buonincontri, Massimo Casarsa, Alessio Gianelle, Simone Pagan Griso, Sergo Jindariani, Donatella Lucchesi, Federico Meloni, Nadia Pastrone, Lorenzo Sestini:
Full Detector Simulation with Unprecedented Background Occupancy at a Muon Collider. - Xiaocong Ai, Georgiana Mania, Heather M. Gray, Michael Kuhn, Nicholas Styles:
A GPU-Based Kalman Filter for Track Fitting. - Georges Aad, Anne-Sophie Berthold, Thomas Calvet, Nemer Chiedde, Etienne Marie Fortin, Nick Fritzsche, Rainer Hentges, Lauri Antti Olavi Laatu, Emmanuel Monnier, Arno Straessner, Johann Christoph Voigt:
Artificial Neural Networks on FPGAs for Real-Time Energy Reconstruction of the ATLAS LAr Calorimeters. - Walter Ikegami Andersson, Adeel Akram, Tord Johansson, Ralf Kliemt, Michael Papenbrock, Jenny Regina, Karin Schönning, Tobias Stockmanns:
A Generalized Approach to Longitudinal Momentum Determination in Cylindrical Straw Tube Detectors. - Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi:
MLaaS4HEP: Machine Learning as a Service for HEP. - Johannes Reppin, Christoph Beyer, Thomas Hartmann, Frank Schlünzen, Martin Flemming, Sven Sternberger, Yves Kemp:
Interactive analysis notebooks on DESY batch resources. - Cheng Chen, Olmo Cerri, Thong Q. Nguyen, Jean-Roch Vlimant, Maurizio Pierini:
Analysis-Specific Fast Simulation at the LHC with Deep Learning. - Francesco Armando Di Bello, Jonathan Shlomi, Chiara Badiali, Guglielmo Frattari, Eilam Gross, Valerio Ippolito, Marumi Kado:
Efficiency Parameterization with Neural Networks. - Erik Buhmann, Sascha Diefenbacher, Engin Eren, Frank Gaede, Gregor Kasieczka, Anatolii Korol, Katja Krüger:
Getting High: High Fidelity Simulation of High Granularity Calorimeters with High Speed. - The H. S. F. Physics Event Generator WG:
Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC. - Yutaro Iiyama, Benedikt Maier, Daniel Abercrombie, Maxim Goncharov, Christoph Paus:
Dynamo: Handling Scientific Data Across Sites and Storage Media. - Marcel Stanitzki, Jan Strube:
Performance of Julia for High Energy Physics Analyses. - Oliver Freyermuth, Peter Wienemann, Philip Bechtle, Klaus Desch:
Operating an HPC/HTC Cluster with Fully Containerized Jobs Using HTCondor, Singularity, CephFS and CVMFS. - Samuel Maddrell-Mander, Lakshan Ram Madhan Mohan, Alexander Marshall, Daniel O'Hanlon, Konstantinos Petridis, Jonas Rademacker, Victoria Rege, Alexander Titterton:
Studying the Potential of Graphcore® IPUs for Applications in Particle Physics. - Tommaso Boccali, D. Cameron, N. Cardo, Dino Conciatore, Alessandro Di Girolamo, Günther Dissertori, Pablo Fernandez, A. Filipcic, Miguel Gila, Christophorus Grab, J. Elmsheuser, V. Jankauskas, A. Klimentov, D. Kovalskyi, S. Lammel, Dario Petrusic, Thomas C. Shulthess, F. G. Sciacca, Cedric Serfon, R. Walker, C. Wissing:
Dynamic Distribution of High-Rate Data Processing from CERN to Remote HPC Data Centers. - Stefan Kluth:
Education and Training for Software Developers in Particle Physics. - Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger:
The CMS monitoring infrastructure and applications. - Stefan Wunsch, Simon Jörger, Roger Wolf, Günter Quast:
Optimal Statistical Inference in the Presence of Systematic Uncertainties Using Neural Network Optimization Based on Binned Poisson Likelihoods with Nuisance Parameters. - Guilherme Amadio, A. Ananya, John Apostolakis, Marilena Bandieramonte, S. Banerjee, Abhijit Bhattacharyya, Calebe P. Bianchini, G. Bitzes, Philippe Canal, Federico Carminati, Oscar Roberto Chaparro-Amaro, Gabriele Cosmo, J. C. De Fine Licht, V. Drogan, Laurent Duhem, Daniel Elvira, J. Fuentes, Andrei Gheata, Mihaela Gheata, Mathieu Gravey, Ilias Goulas, Farah Hariri, Soon Yung Jun, Dmitri Konstantinov, Harphool Kumawat, J. G. Lima, Alberto Maldonado-Romo, Jesús Alberto Martínez-Castro, Pere Mato, T. Nikitina, S. Novaes, Mihály Novák, Kevin Pedro, Witold Pokorski, Alberto Ribon, Ryan Schmitz, Raman Seghal, Oksana Shadura, E. Tcherniaev, Sofia Vallecorsa, Sandro Wenzel, Y. Zhang:
GeantV. - Koji Terashi, Michiru Kaneda, Tomoe Kishimoto, Masahiko Saito, Ryu Sawada, Junichi Tanaka:
Event Classification with Quantum Machine Learning in High-Energy Physics. - Matthew Barrett, Takanori Hara, Michel Hernández Villanueva, Kunxian Huang, Dhiraj Kalita, Petteri Kettunen, Prashant Shingade:
The Belle II Online-Offline Data Operations System.
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