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ORCIDComputing and Software for Big Science, Volume 4
Volume 4, Number 1, December 2020
- Johann Brehmer
, Felix Kling, Irina Espejo, Kyle Cranmer:
MadMiner: Machine Learning-Based Inference for Particle Physics. - Frédéric Bapst, Wahid Bhimji, Paolo Calafiura, Heather M. Gray, Wim Lavrijsen, Lucy Linder, Alex Smith:
A Pattern Recognition Algorithm for Quantum Annealers. - Frederick James, Lorenzo Moneta:
Review of High-Quality Random Number Generators. - Panagiotis Spentzouris:
Quantum Computing: Advancing Fundamental Physics. - Roel Aaij, Johannes Albrecht, M. Belous, Pierre Billoir, Thomas Boettcher, A. Brea Rodriguez, Dorothea Vom Bruch, Daniel Hugo Cámpora Pérez, A. Casais Vidal, Daniel C. Craik, Placido Fernandez Declara, L. Funke, Vladimir V. Gligorov, Brij Kishor Jashal, N. Kazeev, D. Martinez Santos, Flavio Pisani, D. Pliushchenko, S. Popov, Renato Quagliani, M. S. Rangel, F. Reiss, C. Sánchez Mayordomo, Rainer Schwemmer, Mike Sokoloff, H. Stevens, Andrey Ustyuzhanin, Xavier Vilasís-Cardona, Mike Williams:
Allen: A High-Level Trigger on GPUs for LHCb. - Frank Berghaus, Kevin Casteels, Colson Driemel, Marcus Ebert, Fernado Galindo, C. Leavett-Brown, D. Macdonell, Michael Paterson, Rolf Seuster, Randall J. Sobie, S. Tolkamp, J. Weldon:
High-Throughput Cloud Computing with the Cloudscheduler VM Provisioning Service. - A. M. Sirunyan, A. Tumasyan, Wolfgang Adam, et al.:
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution. - Luisa Arrabito, Konrad Bernlöhr, Johan Bregeon, Matthieu Carrère, Adnane Khattabi, Philippe Langlois, David Parello, Guillaume Revy:
Optimizing Cherenkov Photons Generation and Propagation in CORSIKA for CTA Monte-Carlo Simulations. - M. Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti:
Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics. - Stefan Wunsch, Simon Jörger, Roger Wolf, Günter Quast:
Reducing the Dependence of the Neural Network Function to Systematic Uncertainties in the Input Space. - Michael Andrews, Manfred Paulini, Sergei Gleyzer, Barnabás Póczos:
End-to-End Physics Event Classification with CMS Open Data: Applying Image-Based Deep Learning to Detector Data for the Direct Classification of Collision Events at the LHC.
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