Associate member application from Korean Group
C. S. Yoon (GNU) 2016. 2. 10 SHiP CRB meeting at CERN Application for Associate member
JNU (Jeju National University ) J.K. Woo (Professor) J. Ko (Graduate student in Ph. D. course) D. Liu (Graduate student in Ph. D. course)
GNUE (Gwangju National University of Education) Y.G. Kim (Professor)
KASI (Korea Astronomy and Space Science Institute) CNU (Chonnam National University) K.Y. Choi (Professor) will become a professor at CNU from next month. Jeju National University (JNU)
SHiP ECAL
Jong-Kwan Woo, Jaewou Ko, Dong Liu Possible Contribution (1) Particle Identification
For a decade, JNU has studied on particle identification using Particle Shape Discrimination (PSD) method that is effective to discriminate Minimum Ionization Particle (MIP) from Heavy Ionization Particle (HIP). PSD method will help to discriminate Neutral particles produced in a Long Vessel Chamber of SHiP. Left : Schematic view of gamma ray (MIP) and a neutron (HIP) Quick Background rejection Right : Real signals from a gamma ray and neutron. Identify Massive Neutral particles 50 MeV proton beam for medical use (MC50 cyclotron)
• JNU worked Dark Matter search (ZEPLIN exp using liquid Xe), Possible Contribution especially WIMP that is one of the Non Baryonic Dark Matter. (2) Dark matter Search • Dark matter created via dark photon in SHiP has similar characteristics (Heavy mass, neutral, non-baryonic) to WIMP. JNU can contribute to Dark Matter search in SHiP through 1) Direct search Dark Matter using SHiP detector (ECAL) using PSD method 2) Simulation using GENIE And also Emulsion scanning shift
Elastic scatt in ECAL Mechanism of particle ID Scintillation process through elastic scattering process in Liquid Scintillator
Nucl.Inst. & Meth. 196 g 101 (1982)
Nucl.Inst. & Meth. 3 207 (1982)
P.R. B20 3486 (1979)
P.R. B21 2632 (1979)
J.Luminescence 18/19 487 (1979)
J. Chem Phys. 50 3143 (1969)
J. Chem Phys. 42 4250 (1965)
Possible Contribution (3) Simulation
• JNU has a lots of experiences in Simulation based on GEANT4. 5g
• JNU may contribute to simulation using Generates Events for Neutrino Interaction Experiments (GENIE). 6g
• It includes the simulation in Detector part and in Dark matter search part. An example of simulation done by JNU using GEANT4 0 (J-PARC E14: CP violation in KL decay).
Simulation for the 5-gamma & 6-gamma events from 0 0 0 neutral Kaon decay, KL p p g 5g (6g) . KASI Chonnam National University (CNU)
Ki-Young Choi
I am interested in the search for the dark photon model and axino model at the SHiP experiment.
1) I would like to contribute to the Monte Carlo simulation and data analysis of those models.
2) I want to contribute to the direct detection of sub-GeV dark matter produced via the dark photon. I would like to study the scattering process of dark matter with electrons and/or nuclei. Several observational hints for sub-GeV dark matter
Light DM Search for Sub-GeV dark photon and dark matter
collaborated with
Possible Contributions And also I would like to study Light Axino(-like particle) and Dark Matter. Gwangju National University of Education (GNUE ) Yeong Gyun Kim
Search for Dark Scalars
• We have experience for analysis of L3 data at CERN. • We want to study on search for Dark Scalars in a Singlet Fermionic Dark Matter (SFDM) model. • Contribute to Data Analysis especially for search of Dark Scalar. • In the case that the singlet-like scalar would be produced from B, D mesons with a small branching ratio and a rather long lifetime, the SHiP would be a good place to search for the signal of SFDM model.
• In the SFDM model, both the following rare B decays appear. We will do more careful study for discovery potential.
(with X=S) Monte Carlo simulation etc.
• Perform Monte Carlo simulation for signal and background events with KISTI (Korea Institute of Science and Technology Information) Supercomputer
25,600 Cores 300 TFlops 76 TB memory
• Data Analysis for dark scalars, tau neutrinos • Emulsion Scanning Shift etc. North Korea
South Korea
GNUE CNU Japan (Gwangju)
JNU GNU (Jeju) (Jinju) Thank you for your attention!