Fri·Jan 10, 2025Friday·January 10, 2025

1. 01*

   Probing Nuclear Excitation by Electron Capture in an Electron Beam Ion Trap with Non-destructive Isomer Detection via Precision Mass Spectrometry

   Bingsheng Tu · Nan Xue · Jialin Liu · Qi Guo🇨🇳 · Yuanbin Wu🇨🇳 · Zuoye Liu🇨🇳 · Adriana Pálffy🇩🇪 · Yang Yang🇨🇳 · Ke Yao · Baoren Wei · Yaming Zou🇸🇪 · Xiangjin Kong · Yu-Gang Ma🇨🇳

   Nuclear excitation by electron capture (NEEC) is an important nuclear excitation mechanism which still lacks conclusive experimental verification. This is primarily attributed to strong background x-/$\gamma$-ray noise and competing nuclear excitation processes which would overshadow the signals in various environments that NEEC takes place. Here, we propose an experimental approach to observe the NEEC process within a background-free environment. Through collisions with a highly-compressed mono-energetic electron beam in an electron beam ion trap, nuclei may get excited to a long-lived isomeric state via the NEEC process. Subsequently, ions can be extracted and Penning-trap mass spectrometry employed to unambiguously detect the isomer. Our study focuses on the promising candidate ${}^{189}\mathrm{Os}$, demonstrating measurable detection rates of the NEEC process and discussing the feasibility of the proposed approach. This new approach for observing the NEEC process may be realized in the near future.

   nucl-exnucl-thPRC(2025)·1 citation
2. 02*

   Near-threshold dipole strength in {^{10}}Be with isoscalar character

   J. Chen🇨🇳 · Y. Ayyad🇪🇸 · D. Bazin🇺🇸 · W. Mittig🇺🇸 · M. Z. Serikow🇺🇸 · N. Keeley🇵🇱 · S. M. Wang🇨🇳 · B. Zhou🇨🇳 · J. C. Zamora🇺🇸 · S. Beceiro-Novo🇪🇸 · M. Cortesi · M. DeNudt and 20 other authors

   Isoscalar dipole transitions are a distinctive fingerprint of cluster structures. A {1^-} resonance at 7.27(10) MeV, located just below the {\alpha}-emission threshold, has been observed in the deuteron inelastic scattering reactions off 10Be. The deformation lengths of the excited states in 10Be below 9 MeV have been inferred from the differential cross sections using coupled channel calculations. This observed {1^-} resonance has isoscalar characteristics and exhausts approximately 5{\%}-15{\%} of the isoscalar dipole energy-weighted sum rule, providing evidence for pronounced {\alpha} cluster structure in 10Be. The Gamow coupled channel approach supports this interpretation and suggests the near-threshold effect might be playing an important role in this excitation energy domain. The {\alpha}+{\alpha}+n+n four-body calculation reproduces the observed enhanced dipole strength, implying that the four-body cluster structure is essential to describe the {1^-} states in 10Be.

   nucl-exnucl-th0 citations
3. 03*

   Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors

   J. Kvapil (1)🇺🇸 · G. Borca-Tasciuc (2)🇺🇸 · H. Bossi (3)🇺🇸 · K. Chen (4) · Y. Chen (4) · Y. Corrales Morales (3)🇺🇸 · H. Da Costa (1)🇺🇸 · C. Da Silva (1)🇺🇸 · C. Dean (3)🇺🇸 · J. Durham (1)🇺🇸 · S. Fu (5)🇺🇸 · C. Hao (6)🇺🇸 and 21 other authors

   This R\&D project, initiated by the DOE Nuclear Physics AI-Machine Learning initiative in 2022, leverages AI to address data processing challenges in high-energy nuclear experiments (RHIC, LHC, and future EIC). Our focus is on developing a demonstrator for real-time processing of high-rate data streams from sPHENIX experiment tracking detectors. The limitations of a 15 kHz maximum trigger rate imposed by the calorimeters can be negated by intelligent use of streaming technology in the tracking system. The approach efficiently identifies low momentum rare heavy flavor events in high-rate p+p collisions (3MHz), using Graph Neural Network (GNN) and High Level Synthesis for Machine Learning (hls4ml). Success at sPHENIX promises immediate benefits, minimizing resources and accelerating the heavy-flavor measurements. The approach is transferable to other fields. For the EIC, we develop a DIS-electron tagger using Artificial Intelligence - Machine Learning (AI-ML) algorithms for real-time identification, showcasing the transformative potential of AI and FPGA technologies in high-energy nuclear and particle experiments real-time data processing pipelines.

   ↳ physics.ins-detcs.LGhep-exnucl-exPoS(2025)·8 citations
4. 04*

   Spin-orbit correlation and spatial distributions for spin-0 hadrons

   Cédric Lorcé🇫🇷 · Qin-Tao Song🇨🇳

   The spin-orbit correlation in spin-0 hadrons can be investigated through the kinetic energy-momentum tensor form factor ${\tilde{F}}^q(t)$. We observe that the latter is also related to a torque about the radial direction, which we interpret as a chiral stress. If we neglect the quark mass contribution, then ${\tilde{F}}^q(t)$ is simply proportional to the electromagnetic form factor for spin-0 hadrons, and the spin-orbit correlation is equal to minus half of the valence quark number. Given the extensive studies on the electromagnetic form factor for spin-0 hadrons such as pions, kaons, and the $\alpha$ particle, we present the spatial distributions of chiral stress and kinetic spin-orbit correlation based on current parametrizations of the pion electromagnetic form factor.

   ↳ hep-phhep-latnucl-exnucl-thPLB(2025)·12 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.