Machine learning in nuclear physics at low and intermediate energies [PDF]
Science China Physics Mechanics and Astronomy, 2023 Machine learning (ML) is becoming a new paradigm for scientific research in various research fields due to its exciting and powerful capability of modeling tools used for big-data processing tasks. In this review, we first briefly introduce the different
Wanbing He +5 more
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High-energy nuclear physics meets machine learning [PDF]
Nuclear Science and Techniques, 2023 Although seemingly disparate, high-energy nuclear physics (HENP) and machine learning (ML) have begun to merge in the last few years, yielding interesting results. It is worthy to raise the profile of utilizing this novel mindset from ML in HENP, to help
Wanbing He +4 more
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Theoretical tools for neutrino scattering: interplay between lattice QCD, EFTs, nuclear physics, phenomenology, and neutrino event generators [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2022 Maximizing the discovery potential of increasingly precise neutrino experiments will require an improved theoretical understanding of neutrino-nucleus cross sections over a wide range of energies.
L. A. Ruso +56 more
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BUQEYE guide to projection-based emulators in nuclear physics [PDF]
Frontiers of Physics, 2022 The BUQEYE collaboration (Bayesian Uncertainty Quantification: Errors in Your effective field theory) presents a pedagogical introduction to projection-based, reduced-order emulators for applications in low-energy nuclear physics.
C. Drischler +6 more
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Nuclear Physics Multimessenger Astrophysics Constraints on the Neutron Star Equation of State: Adding NICER’s PSR J0740+6620 Measurement [PDF]
Astrophysical Journal, 2021 In the past few years, new observations of neutron stars (NSs) and NS mergers have provided a wealth of data that allow one to constrain the equation of state (EOS) of nuclear matter at densities above nuclear saturation density.
P. T. Pang +5 more
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Expanding Nuclear Physics Horizons with the Gamma Factory [PDF]
Annals of Physics, 2021 The Gamma Factory (GF) is an ambitious proposal, currently explored within the CERN Physics Beyond Colliders program, for a source of photons with energies up to ≈400 MeV and photon fluxes (up to ≈1017 photons s−1) exceeding those of the currently ...
D. Budker +15 more
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Review of the development of tandem accelerator laboratory in 35 years
He jishu, 2023 The year 2023 marks the 35th anniversary of the establishment of the Beijing Tandem Accelerator Nuclear Physics National Laboratory. Accelerators and nuclear reactors are the two main tools for studying nuclear science. In 1988, the Tandem Laboratory was
LIU Weiping
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Machine Learning in Nuclear Physics [PDF]
, 2021 Advances in machine learning methods provide tools that have broad applicability in scientific research. These techniques are being applied across the diversity of nuclear physics research topics, leading to advances that will facilitate scientific ...
A. Boehnlein +17 more
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The NUBASE2020 evaluation of nuclear physics properties
Chinese Physics C, High Energy Physics & Nuclear Physics, 2021 The NUBASE2020 evaluation contains the recommended values of the main nuclear physics properties for all nuclei in their ground and excited, isomeric (T1/2 100 ns) states.
F. Kondev +4 more
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Trends in particle and nuclei identification techniques in nuclear physics experiments
La Rivista del Nuovo Cimento, 2022 Particle identification techniques are fundamental tools in nuclear physics experiments. Discriminating particles or nuclei produced in nuclear interactions allows to better understand the underlying physics mechanisms.
A. Badalà +26 more
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