High Energy Nuclear Physics School for Young Physicists 2022 - Basics of high-energy nuclear physics and machine learning

Asia/Seoul
Inha University, Building 2

Inha University, Building 2

100 Inha-ro, Michuhol-gu, Incheon, Republic of Korea
MinJung Kweon (Inha University)
Description

High Energy Nuclear Physics School for Young Physicist

Topics

  • Overview of Ultra-Relativistic Heavy-Ion Physics
    • Introduction and global properties of the Quark-Gluon Plasma (QGP)
    • Strangeness, the statistical model, and space-time evolution of the QGP
    • Hard probes (Heavy flavour, Jets) and energy loss in the medium
    • Monte Carlo simulation for the medium response of quarkonia in heavy-ion collisions 
  • Machine Learning
    • Basics of machine learning
    • Machine learning applications in the industry

 

  • 임상훈 교수님의 SHINCHON 시뮬레이션 강의에는 도커 이미지를 이용한 실습이 포함되어 있습니다. 학생들은 랩탑에 도커와 ROOT를 미리 설치해오기 바랍니다!

 

등록하시는 분들께

✉️ Emergency mail : jaeyoon15@inha.edu & klnW@inha.edu

⭐️ 스쿨날에 인하대 수시 입학시험이 있습니다. 학교에 접근하는데 매우 오랜시간이 걸릴 수 있으니 여유있게 출발해주세요. ⭐️

스쿨 시작 시간이 오전 9시에서 오전 10시로 변경되었습니다.

스쿨 장소 : 2호관 남쪽 232호 공과대학 세미나실

토, 일 스쿨 기간동안 맛있는 아침/점심/저녁 식사 제공됩니다.

점심 및 일요일 저녁 식사 수요 조사 :  https://doodle.com/meeting/participate/id/egZQvWZd

Registration
High Energy Nuclear Physics School 2022
Participants
  • Cheong Heo
  • Dae Sol Kong
  • Dawoon Jin
  • Dayoung Kim
  • Dheeraj Kumar
  • EoJin Bae
  • Geunwoo Kim
  • Giyeong Kim
  • Gyeongbin Park
  • Haesom Sung
  • Hangil Jang
  • Hanyi Jang
  • Ho-Yeon Won
  • HuiJae Lee
  • Hye Jin Park
  • Hyebin Park
  • HyeongWoo Noh
  • Hyung-Ok Yoon
  • Hyungjun Lee
  • Hyunji Lim
  • Hyunsoo Ahn
  • Hyunwoo Kim
  • In Woo Park
  • Jae Sung Kim
  • Jae Yeon Han
  • Jaehyeok Ryu
  • Jaein Hwang
  • JaeYoon Cho
  • Jeongho Kim
  • Jeongseok Yoon
  • Jin-Hee Yoon
  • Jinhyun Park
  • Jinjoo Seo
  • Jiyoung Kim
  • Jonghan Park
  • JongHoon Jung
  • Joonsuk Bae
  • Junseok Lee
  • Kunsu Oh
  • Kyungrim Woo
  • mincheol Cho
  • MinJae Kim
  • Minjae Kwon
  • MinJung Kweon
  • Nam-Yong Ghim
  • Saehanseul Oh
  • Samson Clymton
  • Sanghoon Lim
  • Seokwoo Yeo
  • Seoung Hun Lee
  • Seunghwan Lee
  • Seungju Lee
  • SuJeong Ji
  • Sungwoon Choi
  • wonjun Jeong
  • Yechan Cheon
  • Yongjun Choi
  • Yongjun Kim
  • Yoonha Hong
  • Younghoo Hong
  • Youngjin Yeom
  • Yvonne Pachmayer
  • 최 영욱
  • Saturday, 19 November
    • 10:00 11:30
      Heavy-Ion Physics
      • 10:00
        Ultra-Relativistic Heavy-Ion Physics: Introduction and global properties of the Quark-Gluon Plasma (QGP) 1h 30m
        Speaker: Dr Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
    • 11:30 12:00
      Coffee Break ☕️
    • 12:00 13:30
      Heavy-Ion Physics
      • 12:00
        Ultra-Relativistic Heavy-Ion Physics: Strangeness, the statistical model, space-time evolution of the QGP 1h 30m
        Speaker: Dr Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
    • 13:30 14:30
      Lunch
    • 14:30 16:00
      Heavy-Ion Physics
    • 16:00 16:30
      Coffee Break ☕️
    • 16:30 18:00
      Heavy-Ion Physics
      • 16:30
        Jets in heavy-ion collisions 1h 30m
        Speaker: Prof. Saehanseul Oh (Sejong University)
    • 18:00 20:30
      Dinner 🌙
  • Sunday, 20 November
    • 10:00 11:30
      Heavy-Ion Physics
      • 10:00
        Ultra-Relativistic Heavy-Ion Physics: hard probes (heavy flavour), energy loss 1h 30m
        Speaker: Dr Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
    • 11:30 12:00
      Coffee Break ☕️
    • 12:00 13:30
      Heavy-Ion Physics
      • 12:00
        Ultra-Relativistic Heavy-Ion Physics: quarkonium states (J/ψ, ...) , small collision systems and the Future 1h 30m
        Speaker: Dr Yvonne C. Pachmayer (Physikalisches Institut der Universitaet Heidelberg)
    • 13:30 14:30
      Lunch
    • 14:30 15:30
      Machine Learning
      • 14:30
        Classification and Perceptron 1h
        Speaker: Prof. Hyejin Park (Inha University)
    • 15:30 16:00
      Coffee Break ☕️
    • 16:00 17:30
      Machine Learning