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Computing 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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