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Scanning of Nuclear Emulsion using HTS2 in the SND@LHC experiment

Not scheduled
20m

Speaker

Jong Yoon Sohn (Gyeongsang National University)

Description

The SND@LHC experiment has been performed to detect high energy neutrinos produced in the forward direction at the LHC from 2022. This experiment can cover the unexplored ranges of energy (100 GeV-TeV) and pseudo-rapidity (7.2-8.4),  in which a large fraction of neutrinos originate from charmed hadrons decays. The SND@LHC uses Emulsion Cloud Chamber (ECC) as target and tracking detector, where the ECC is a sandwich structure of Nuclear emulsion films and Tungsten plates. The forward produced neutrinos along the beam axis make collisions with the ECC target located 480 m away from the IP1 of ATLAS detector. Since Nuclear emulsion has best spatial resolution less than 1 μm and angular resolution with several mrad, all the three flavors of neutrinos can be observed in the ECC. Especially, tau neutrinos can be  identified in the ECC as well as charmed hadrons which have very short flight lengths. And measurements of time and energy are also possible together with electronic detectors such as SciFi and Muon detector. We had observed “Collider muon neutrinos” for the first time in 2023. In order to observe these high energy LHC neutrino events, we are currently scanning the Nuclear emulsion films by using the fastest automatic readout system "HTS2" (Hyper Track Selector 2) which has been developed by Nagoya emulsion group. In this talk, we will show how to scan the emulsion films and the scanning results.

Primary author

Jong Yoon Sohn (Gyeongsang National University)

Co-authors

Byung Do Park (Gyeongsang National University) Chun Sil Yoon (Gyeongsang National University) Kang Young Lee (Gyeongsang National University) Ki-Young Choi (Sungkyunkwan University) Kyong Sei Lee (Korea University) Seong Moon Yoo (Sungkyunkwan University) Sung Hyun Kim (Gyeongsang National University (KR) (will participate by Zoom )) Yeong Gyun Kim (Gwangju National University of Education)

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