Fri·Jan 3, 2025Friday·January 3, 2025

1. 01*

   Deconstructing the emission order of protons, neutrons and $\alpha$-particles following fusion in ${}^{28,30,32}$Si + ${}^{28}$Si

   Rohit Kumar🇺🇸 · H. Desilets🇺🇸 · J.E. Johnstone🇺🇸 · S. Hudan🇺🇸 · D. Chattopadhyay🇺🇸 · R.T. deSouza🇺🇸 · D. Ackermann🇫🇷 · M. Basson🇺🇸 · K.W. Brown🇺🇸 · A. Chbihi🇫🇷 · K.J. Cook🇺🇸 · M. Famiano🇺🇸 and 3 other authors

   A high-quality measurement of proton and $\alpha$-particle emission associated with fusion of ${}^{28,30,32}$Si with a ${}^{28}$Si target is described. Evaporation residues produced by de-excitation of the compound nucleus were identified by an energy time-of-flight (ETOF) measurement while emitted light-charged particles were identified using the $\Delta$E-E technique. Comparison of the experimentally measured charged particle multiplicities and energy spectra with the predictions of the statistical decay model code, GEMINI++, allows one to deduce interesting details of the de-excitation cascade and its dependence on neutron-excess. The impact of modifying the sequence of particle emissions on the average energy and multiplicity is examined.

   nucl-exPRC(2025)·0 citations
2. 02*

   Investigating the interplay between initial hard processes and final-state effects measuring prompt and non-prompt $J/\psi$

   Maurice Coquet (for the ALICE collaboration)🇫🇷

   Charmonium production in high-energy collisions can be split into a prompt and a non-prompt component. Both components can be distinguished experimentally by studying displaced topology, and represent valuable tools to investigate the properties of the strongly interacting medium produced in ultra-relativistic heavy-ion collisions. In particular, the study of non-prompt charmonium production can give access to the beauty-hadron production cross section and can be used to investigate the in-medium energy loss of beauty quarks. In these proceedings, the recent measurement of prompt and non-prompt $J/\psi$ carried out by the ALICE Collaboration in PbPb collisions at midrapidity ($|y|$ < 0.8) at $\sqrt{s_{\mathrm{NN}}}=5.02$ TeV, will be presented. Moreover, thanks to the installation of the new muon forward tracker (MFT), the prompt/non-prompt charmonium separation will be possible in LHC Run 3 also at forward rapidity (2.5 < $y$ < 4).

   nucl-exEPJ Web Conf.(2025)·0 citations
3. 03*

   Measurement of ${}^6\mathrm{H}$ ground state energy in an electron scattering experiment at MAMI-A1

   Tianhao Shao🇨🇳 · Jinhui Chen🇨🇳 · Josef Pochodzalla🇩🇪 · Patrick Achenbach🇺🇸 · Mirco Christmann🇩🇪 · Michael O. Distler🇩🇪 · Luca Doria🇩🇪 · Anselm Esser🇩🇪 · Julian Geratz🇩🇪 · Christian Helmel🇩🇪 · Matthias Hoek🇩🇪 · Ryoko Kino🇯🇵 and 19 other authors

   For the first time the neutron-rich hydrogen isotope ${}^6\mathrm{H}$ was produced in an electron scattering experiment in the reaction ${}^7\mathrm{Li}(\mathrm{e},{\mathrm{e}}^{\prime }\mathrm{p}{\pi }^{+}{)}^6\mathrm{H}$ using the spectrometer facility of the A1 Collaboration at the Mainz Microtron accelerator. By measuring the triple coincidence between the scattered electron, the produced proton, and ${\pi }^{+}$, the missing mass spectrum of ${}^6\mathrm{H}$ was obtained. A clear peak above ${}^3$H+n+n+n energy threshold was seen resulting in a ground state energy of ${}^6\mathrm{H}$ at $2.3\pm 0.5(stat.)\pm 0.4(syst.)$ MeV with a width of $1.9\pm 1.0(stat.)\pm 0.4(syst.)$ MeV. This work challenges the understandings of multi-nucleon interactions and presents a new method to study light neutron-rich nuclei with electron scattering experiments.

   nucl-exnucl-thPRL(2025)·9 citations
4. 04*

   Validation and extrapolation of atomic mass with physics-informed fully connected neural network

   Yiming Huang🇨🇳 · Jinhui Chen🇨🇳 · Jiangyong Jia🇺🇸 · Lu-Meng Liu🇨🇳 · Yu-Gang Ma🇨🇳 · Chunjian Zhang🇨🇳

   Machine learning offers a powerful framework for validating and predicting atomic mass. We compare three improved neural network methods for representation and extrapolation for atomic mass prediction. The powerful method, adopting a macroscopic-microscopic approach and treating complex nuclear effects as output labels, achieves superior accuracy in AME2020, yielding a much lower root-mean-square deviation of 0.122 MeV in the test set, significantly lower than alternative methods. It also exhibits a better extrapolation performance when predicting AME2020 from AME2016, with a root-mean-square deviation of 0.191 MeV. We further conduct sensitivity analyses against the model inputs to verify interpretable alignment beyond statistical metrics. Incorporating theoretical predictions of magic numbers and masses, our fully connected neural networks reproduce key nuclear phenomena including nucleon pairing correlation and magic number effects. The extrapolation capability of the framework is discussed and the accuracy of predicting new mass measurements for isotope chains has also been tested.

   ↳ nucl-thnucl-exPRC(2025)·14 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.