PaperPanorama

Nuclear Experiment·nucl-ex

Tue·Aug 20, 2024

6 papers2 primary·4 cross-listed·reconstructed*

  1. 01*

    Study of Li+B elastic scattering and the lithium-induced reaction of one-nucleon transfers from B(Li,Li)B

    Sergey Stukalov🇷🇺 · Yuri Sobolev · Yuri Penionzhkevich🇷🇺 · Nassurlla Burtebayev · Sergey Goncharov · Yuri Gurov🇷🇺 · Andrey Danilov · Alla Demyanova · Sergey Dmitriev · Maulen Nassurlla · Viktar Starastsin · Alexey Shakhov · Semyon Raidun · Nguyen Hoai Chau

    The angular distributions of elastic scattering of Li, as well as the lithium-induced reaction of one-nucleon transfers B(Li,Li)B were measured at = 58 MeV. Experiment was done using U-400 accelerator beam of the FLNR JINR, Dubna. Angular distribution for reaction B(Li,Li)B with excitation of the 3.56 MeV state (Li*) is presented for the first time. The DWBA analysis of the differential cross section of the B(Li,Li)B ground state (g.s.) transition and excited ( = 0, = 1, = 3.56 MeV) state of Li transition was performed. The optical model potentials were obtained by fitting of measured elastic scattering data and evaluating parameters for the output reaction channels. Phenomenological approach based on solving an approximate equation for the reaction form factor was used to determine its radial dependence and empirical values of asymptotic normalization coefficient (ANC). Obtained values of ANCs for the Li and Li*(3.56 MeV) states are in agreement with the literature ones. Comparison of the radial dependences of form factors shows that the wave function of the Li nucleus in excited ( = 0, = 1, = 3.56 MeV) state has increased spatial dimension compared to the ground state. This result is an argument in favor of a halo existence in Li*(3.56 MeV) state, while the question of a halo in Li still leaves open.

    nucl-exnucl-th1 citation
  2. 02*

    Evaluation of uranium-233 neutron capture cross section in keV region

    Naohiko Otuka · Kenichi Tada · Oscar Cabellos🇪🇸 · Osamu Iwamoto

    The uranium-233 neutron capture cross section between 3 keV and 1 MeV was evaluated with the new alpha value recently measured at the Los Alamos National Laboratory LANCE facility and compiled in the EXFOR library. The obtained capture cross section is systematically lower than those in the latest versions of the major general purpose nuclear data libraries, and the reduction from the JENDL-5 library is close to 50% around 20 keV. The newly evaluated cross section was benchmarked against 166 criticality experiments chosen from the ICSBEP handbook by performing Monte Carlo neutron transport calculation with the JENDL-5 library, and slight reduction of the cumulative chi-square value was achieved by adoption of the newly evaluated capture cross section.

    nucl-exAnnals Nucl.Energy(2025)·1 citation
  3. 03*

    Modeling net-charge fluctuations in heavy-ion collisions at the LHC

    G.O. Ambaryan🇷🇺 · A.S. Chernyshov🇷🇺 · G.Kh. Eyyubova🇷🇺 · V.L. Korotkikh🇷🇺 · I.P. Lokhtin🇷🇺 · S.V. Petrushanko🇷🇺 · A.M. Snigirev🇷🇺 · E.E. Zabrodin🇷🇺

    The analysis of Pb+Pb data for net-charge fluctuations at LHC energies within the HYDJET++ model is presented. The strongly intensive quantities and are used to get rid of the effects related to volume fluctuations of the system. We employ two versions of the HYDJET++ for the analysis. The first one is the standard or default version, whereas the second one represents its further modification, which takes into account explicit event-by-event conservation of the electric net-charge of produced particles. Inclusion of the canonical net-charge conservation in the model allows one for better description of the experimental data obtained by the ALICE and the CMS Collaborations. Comparison with calculations of other models is also presented.

    nucl-thhep-phnucl-exCPC(2025)·6 citations
  4. 04*

    Electron-nucleus cross sections from transfer learning

    Krzysztof M. Graczyk🇵🇱 · Beata E. Kowal🇵🇱 · Artur M. Ankowski🇵🇱 · Rwik Dharmapal Banerjee🇵🇱 · Jose Luis Bonilla🇵🇱 · Hemant Prasad🇵🇱 · Jan T. Sobczyk🇵🇱

    Transfer learning (TL) allows a deep neural network (DNN) trained on one type of data to be adapted for new problems with limited information. We propose to use the TL technique in physics. The DNN learns the details of one process, and after fine-tuning, it makes predictions for related processes. We consider the DNNs, trained on inclusive electron-carbon scattering data, and show that after fine-tuning, they accurately predict cross sections for electron interactions with nuclear targets ranging from helium-3 to iron.

    hep-phcs.LGhep-exnucl-ex+1PRL(2025)·7 citations
  5. 05*

    Nuclear Fragmentation at the Future Electron-Ion Collider

    C. A. Bertulani🇺🇸 · Y. Kucuk🇹🇷 · F.S. Navarra🇧🇷

    We explore the potential of conducting low-energy nuclear physics studies, including nuclear structure and decay, at the future Electron-Ion Collider (EIC) at Brookhaven. By comparing the standard theory of electron-nucleus scattering with the equivalent photon method applied to Ultraperipheral Collisions (UPC) at the Large Hadron Collider (LHC) at CERN. In the limit of extremely high beam energies and small energy transfers, very transparent equations emerge. We apply these equations to analyze nuclear fragmentation in UPCs at the LHC and scattering at the EIC, demonstrating that the EIC could facilitate unique photonuclear physics studies. However, we have also shown that the fragmentation cross-sections at the EIC are about 1,000 times smaller than those at the LHC. At the LHC, the fragmentation of uranium nuclei displays characteristic double-hump mass distributions from fission events, while at the EIC, fragmentation is dominated by neutron emission and fewer few fission products, about 10,000 smaller number of events.

    nucl-thhep-phnucl-exNPA(2025)·6 citations
  6. 06*

    Calorimetry for the ePIC Experiment

    Henry T. Klest🇺🇸

    The EIC will deliver collisions of electrons with protons and nuclei at a wide variety of energies and at luminosities up to 1000 times higher than HERA. Precise measurement of both the scattered electron and the hadronic final state is crucial for the physics of the EIC, necessitating unique designs for the electromagnetic and hadronic calorimeters in the backward, central, and forward regions. To ensure maximal containment of energy and acceptance for the required physics processes, the ePIC detector employs calorimetry over almost the entire polar angle. These proceedings provide an overview of the current calorimeter designs being employed in ePIC.

    physics.ins-dethep-exnucl-exPoS(2025)·6 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.