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Quantum sensing for particle physics
Nature Reviews Physics, 2023Quantum sensing is a rapidly growing approach to probe fundamental physics and explore new phase space for possible new physics with precision and highly sensitive measurements in our quest to understand the deep structure of matter and its interactions.
S. Bass, M. Doser
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Lessons on interpretable machine learning from particle physics
Nature Reviews Physics, 2022Machine learning methods have proved powerful in particle physics, but without interpretability there is no guarantee the outcome of a learning algorithm is correct or robust.
C. Grojean +3 more
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Introduction to Elementary Particle Physics
The third edition of this successful textbook has been redesigned to reflect the progress of the field in the last decade, including the latest studies of the Higgs boson, quark–gluon plasma, progress in flavour and neutrino physics and the discovery of ...
A. Bettini
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2010
Publisher Summary This chapter focuses on the tiniest object matters and the forces that govern them. All matters are composed of leptons, quarks, and elementary particles that are called bosons. Boson serves as the carriers of the force between particles. The lepton family includes the electron, muon, tau, and their neutrinos.
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Publisher Summary This chapter focuses on the tiniest object matters and the forces that govern them. All matters are composed of leptons, quarks, and elementary particles that are called bosons. Boson serves as the carriers of the force between particles. The lepton family includes the electron, muon, tau, and their neutrinos.
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MadMiner: Machine Learning-Based Inference for Particle Physics
Computing and Software for Big Science, 2019Precision measurements at the LHC often require analyzing high-dimensional event data for subtle kinematic signatures, which is challenging for established analysis methods.
J. Brehmer +3 more
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FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing
Computing and Software for Big Science, 2019Large-scale particle physics experiments face challenging demands for high-throughput computing resources both now and in the future. New heterogeneous computing paradigms on dedicated hardware with increased parallelization, such as Field Programmable ...
Javier Mauricio Duarte +22 more
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