Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 59: Neutrino Physics V

T 59.7: Vortrag

Mittwoch, 2. April 2025, 17:45–18:00, VG 3.103

Tau-neutrino signal in AdvSND@LHC — Heiko Lacker and •Eduard Ursov — Humboldt University of Berlin, Berlin, Germany

The SND@LHC (Scattering and Neutrino Detector at the LHC) is a compact, stand-alone, emulsion-based experiment designed to measure neutrinos produced in proton-proton collisions at the LHC. It operates in the previously unexplored pseudo-rapidity range of 7.2<η<8.4. In July 2023, the SND@LHC collaboration reported the observation of eight muon neutrino charged-current candidates with a significance of 6.8σ. AdvSND@LHC, a proposed fully electronic upgrade of SND@LHC, is planned to collect data during the High-Luminosity LHC era. The upgraded detector will feature two primary subsystems: a tungsten target and a hadronic calorimeter with magnetized iron as passive material. Both subsystems will be interleaved by sensitive planes composed of silicon strips. This work presents the development of a full simulation pipeline for neutrino studies at AdvSND@LHC. The pipeline encompasses the generation of proton-proton collisions at the interaction point, production of the neutrino flux, propagation of neutrinos to the detector vicinity, neutrino interactions within the detector, and digitization of the resulting signals. To study the tau-neutrino signal, a machine learning classifier based on the Boosted Decision Trees (BDT) algorithm has been developed. This classifier achieves effective separation between charged-current muon neutrino events and charged-current tau-neutrino events with subsequent leptonic decays of the tau-leptons.

Keywords: Forward physics at LHC; Monte-Carlo simulation; Tau-neutrino registration