Results 11 to 20 of about 3,105,483 (336)

Perspectives of Nuclear Physics [PDF]

Theoretical Nuclear Physics in Italy, 2002
The organizers of this meeting have asked me to present perspectives of nuclear physics. This means to identify the areas where nuclear physics will be expanding in the next future.
Faessler, Amand
core   +6 more sources

Holographic Nuclear Physics [PDF]

Journal of High Energy Physics, 2009
We analyze the phases of the Sakai-Sugimoto model at finite temperature and baryon chemical potential. Baryonic matter is represented either by 4-branes in the 8-branes or by strings stretched from the 8-branes to the horizon.
A. Karch, C. Núñez, C. Sieg, D. Yamada, D.K. Hong, E. Antonyan, E. Witten, E. Witten, Gilad Lifschytz, H. Hata, K. Hashimoto, K. Nawa, K. Peeters, K. Rajagopal, K.-Y. Kim, M. Kruczenski, M.G. Alford, M.P. Lombardo, Matthew Lippert, N. Horigome, O. Bergman, O. Bergman, Oren Bergman, R. Apreda, R. Casero, S. Kobayashi, S.-J. Sin, S.K. Domokos, T. Sakai, T. Schafer, X.-J. Wang, Y. Kim, Y. Kim, Y.-H. Gao   +33 more
core   +4 more sources

Nuclear Physics [PDF]

Proceedings of 34th annual International Symposium on Lattice Field Theory — PoS(LATTICE2016), 2016
Lattice QCD is making good progress toward calculating the structure and properties of light nuclei and the forces between nucleons. These calculations will ultimately refine the nuclear forces, particularly in the three- and four-nucleon sector and the short-distance interactions of nucleons with electroweak currents, and allow for a reduction of ...
Martin J. Savage
openaire   +4 more sources

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, Qingfeng Li, Yugang Ma, Z. Niu, Junchen Pei, Y. Zhang   +5 more
semanticscholar   +1 more source

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, Yu-Gang Ma, L. Pang, Huichao Song, K. Zhou   +4 more
semanticscholar   +1 more source

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, A. Ankowski, S. Bacca, A. Balantekin, J. Carlson, S. Gardiner, R. González-Jiménez, R. Gupta, T. Hobbs, M. Hoferichter, J. Isaacson, N. Jachowicz, W. Jay, T. Katori, F. Kling, A. Kronfeld, S. Li, H.-W. Lin, K. Liu, A. Lovato, K. Mahn, J. Menendez, A. Meyer, J. Morfín, S. Pastore, N. Rocco, M. Athar, T. Sato, A. Schwenk, P. Shanahan, L. Strigari, M. Wagman, X. Zhang, Y. Zhao, B. Acharya, L. Andreoli, C. Andreopoulos, J. Barrow, Tanmoy Bhattacharya, V. Brdar, C. Giusti, D. Kim, Y. Li, M. Lin, P. Machado, M. Martini, K. Niewczas, P. Pandey, A. Papadopoulou, R. Plestid, M. Roda, I. Simó, J. Simone, R. Sufian, J. Tena-Vidal, Y. Tsai, J. Udías   +56 more
semanticscholar   +1 more source

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, J. Melendez, R. Furnstahl, A. García, Xilin Zhang, Drischler, Furnstahl Garcia Melendez   +6 more
semanticscholar   +1 more source

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, I. Tews, M. Coughlin, M. Bulla, C. Van Den Broeck, T. Dietrich   +5 more
semanticscholar   +1 more source

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, J. Berengut, V. Flambaum, M. Gorchtein, Junlan Jin, F. Karbstein, M. Krasny, Y. Litvinov, Adriana P'alffy, V. Pascalutsa, A. Petrenko, A. Surzhykov, P. Thirolf, M. Vanderhaeghen, H. Weidenmüller, V. Zelevinsky   +15 more
semanticscholar   +1 more source

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
doaj   +1 more source