Gorkavenko, V., Jashal, B. K., Kholoimov, V., Kyselov, Y., Mendoza, D., Ovchynnikov, M., et al. (2024). LHCb potential to discover long-lived new physics particles with lifetimes above 100 ps. Eur. Phys. J. C, 84(6), 608–15pp.
Abstract: For years, it has been believed that the main LHC detectors can play only a limited role of a lifetime frontier experiment exploring the parameter space of long-lived particles (LLPs)-hypothetical particles with tiny couplings to the Standard Model. This paper demonstrates that the LHCb experiment may become a powerful lifetime frontier experiment if it uses the new Downstream algorithm reconstructing tracks that do not allow hits in the LHCb vertex tracker. In particular, for many LLP scenarios, LHCb may be as sensitive as the proposed experiments beyond the main LHC detectors for various LLP models, including heavy neutral leptons, dark scalars, dark photons, and axion-like particles.
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Gutierrez Arance, H., Fiorini, L., Valero, A., Hervas Alvarez, F., Folgueras, S., Vico Villalba, C., et al. (2025). Porting MADGRAPH to FPGA Using High-Level Synthesis (HLS). Particles, 8(3), 63–9pp.
Abstract: The escalating demand for data processing in particle physics research has spurred the exploration of novel technologies to enhance the efficiency and speed of calculations. This study presents the development of an implementation of MADGRAPH, a widely used tool in particle collision simulations, to Field Programmable Gate Array (FPGA) using High-Level Synthesis (HLS). This research presents a proof of concept limited to a single, relatively simple process e+e-->mu+mu-. The experimental evaluation methodology is described, focusing on performance comparison between traditional CPU implementations, GPU acceleration, and the new FPGA approach. This study describes the complex process of adapting MADGRAPH to FPGA using HLS, focusing on optimizing algorithms for parallel processing. These advancements could enable faster execution of complex simulations, highlighting FPGA's crucial role in advancing particle physics research. The encouraging results obtained in this proof of concept prove potential interest in testing the performance of the FPGA implementation of more complex processes.
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