Particle Physics in Computing Frontier

9 Dec 2019, 08:00 → 13 Dec 2019, 18:00 Asia/Seoul

Conference Room (IBS)

K.C. Kong (University of Kansas), Minho Son (KAIST), Myeonghun Park (Seoul National University of Science and Technology), Sanghyeon Chang (IBS-CTPU)

Data from particle physics is unique and challenging due to its tremendous size and complicate structure coming  from quantum nature.

The goal of the focus-workshop is to explore novel techniques for the future exploration of BSM physics in Energy Frontier, including exciting developments in the field of machine learning and quantum computing. 

The structure of the workshop will be designed to survey the core questions in new physics searches and to stimulate intense discussion/collaboration among the participants. In addition to the invited talks, there also will be lectures about the main themes of the workshop. 
 

Invited speakers 

• Spencer Chang (Oregon U.)
• Yang-Ting Chien (Stony Brook)
• Suyong Choi (Korea U.)
• Barry Dillon (Stefan Inst.)
• Felipe Ferreira (U. of Averio)
• Dorival Goncalves (Oklahoma U.)
• Claudius Krause (Fermilab)
• Seung J. Lee (Korea U.)
• Sung Hak Lim (KEK)
• Tao Liu (HKUST)
• Yuichiro Nakai (TD Lee I.)
• Chris Rogan (Kansas U.)
• David Shih (Rutgers)
• Yuhsin Tsai (Maryland U.)

Special talks 

• Joonwoo Bae (KAIST, EE): Computing Based on Quantum Principles
• Eunsol Kim (Kakao Brain):  Large-scale image/video understanding via symbolic scene graphs 

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Venue

IBS CTPU, Daejeon, Republic of Korea (location)

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Sponsored by

 

 

 

Poster Focus2.jpg

Monday, 9 December

08:00 → 08:45 Registration

08:45 → 09:00 General introduction

09:00 → 12:00 Session 1 (chair: Chris Rogan)

09:00 Searching for the Unexpected with Unsupervised Machine Learning

Speaker: David Shih (Rutgers U.)

Slides IBS_Korea_workshop_2019_Talk.pdf

10:30 Jet or Event ? - Physics at Future e-e+ Colliders

Speaker: Tao Liu (HKUST)

12:00 → 13:30 Lunch

13:30 → 16:30 Session 2 (Chair: David Shih)

13:30 LHC Kinematics and Unsupervised Learning for New Physics Searches

Speaker: Christopher Rogan (U. Kansas)

Slides Rogan_09_12_19.pdf Rogan_09_12_19_compressed.pdf

15:00 Strange Jet Tagging

Speaker: Yuichiro Nakai (Shanghai Jiaotong U.)

Slides StrangeTagV7.pdf

16:30 → 16:45 Break

16:45 → 18:00 Lecture: David Shih

16:45 Machine Learning 1

Speaker: David Shih (Rutgers U)

Slides IBS_Korea_workshop_2019_--_Lecture_1.pdf

Tuesday, 10 December

09:00 → 12:00 Session 3 (Chair: Yuichiro Nakai)

09:00 Two-point energy correlation spectra analysis for top tagging and beyond

Speaker: Sung Hak Lim (KEK)

Slides 20191210_IBS.pdf

10:30 Deep Learning Jet Substructure from Two Particle Correlation

Speaker: Yang-Ting Chien (YITP, Stony Brook)

Slides IBS_1210.pdf

12:00 → 13:30 Lunch

13:30 → 16:30 Session 4 (Chair: Yang-Ting Chien)

13:30 Event Generation with Normalizing Flows

Speaker: Claudius Krause (Fermilab)

notes 4d_Camel_train.gif ring_train.gif

Slides NormFlow.C.Krause.pdf

15:00 Simulating collider physics data with GAN

Speaker: Suyong Choi (Korea U.)

Slides Simulating_Collider_Physics_Data_with_GAN-2019IBS.pptx

16:30 → 16:45 Break

16:45 → 18:00 Lecture: David Shih

16:45 Machine Learning 2

Slides IBS_Korea_workshop_2019_--_Lecture_2.pdf

Wednesday, 11 December

09:00 → 12:00 Session 5 (Chair: Tao Liu)

09:00 Unsupervised event classification using probabilistic modelling

Speaker: Barry M. Dillon (Stefan Inst.)

Slides LDA_IBS_barrydillon.pdf

10:30 IR sensitivity of Machine Learning top tagging

Speaker: Seung J. Lee (Korea U.)

12:00 → 13:30 Lunch

13:30 → 14:45 Lecture: David Shih

13:30 Machine Learning 3

Slides IBS_Korea_workshop_2019_--_Lecture_3.pdf

15:00 → 17:30 IBS-CAPP tour

18:30 → 20:00 Banquet

Thursday, 12 December

09:00 → 12:00 Session 6 (Chair: Spencer Chang)

09:00 High-lumi opportunities for Higgs physics

Speaker: Dorival Goncalves (Oklahoma State U.)

Slides dorival_korea.pdf

10:30 Exploring the standard model EFT in VH production with machine learning

Speaker: Felipe F. Freitas (Aveiro U.)

Slides Exploring-the-Higgs-boson-with-Machine-Learning.pdf

12:00 → 13:30 Lunch

13:30 → 16:30 Session 7 (Chair: Dorival Goncalves)

13:30 Signatures of New Physics in the Large Scale Structure Data

Speaker: Yuhsin Tsai (Maryland U.)

Slides new_phys_in_LSS_Tsai.pdf

15:00 Unitarity violation from Nonstandard Higgs couplings

Speaker: Spencer Chang (Oregon U.)

Slides IBS_Chang_2019.pdf

16:30 → 16:45 Break

16:45 → 18:00 Lecture: Felipe Ferreira

16:45 Machine Learning 4

HEP data https://drive.google.com/open?id=17aVZ0jrYNt8fzIm3RJuTk79-6dKwAtX8

notebook Exploring-the-Higgs-boson-with-Machine-Learning.zip

Friday, 13 December

09:00 → 12:00 New perspectives in Computing Frontier (Chair: Suyong Choi)

09:00 Computing Based on Quantum Principles

Speaker: Joonwoo Bae (KAIST)

Slides JBAE_-_computing_based_on_quantum_principles.pdf

10:30 Large-scale image/video understanding via symbolic scene graphs

Speaker: Eun-Sol Kim (Kakao Brain)

12:00 → 13:30 Lunch

13:30 → 14:30 Kinematic Focus Point Method for Signal Discovery and Measurement

Speaker: Doojin Kim (Texas A&M University)

Slides Presentation_PPCF_DoojinKim.pptx

14:30 → 17:30 Discussion (Chair: organizers): Discussion