QUC Summer School on “A.I. in High Energy Physics”

 

 

 July 4-15, 2022     

Rm 1503, Bldg 1, KIAS (Hybrid School)     

Lecture Note Home > Lecture Note

Michael Trott (Niels Bohr Institute)

Title: The SMEFT/geoSMEFT- the modern EFT analysis of collider data

 Lecture1      Lecture2      Lecture3      Lecture4      Seminar 

 

Rodrigo Alonso (IPPP, Durham)
Title: Higgs Effective Field Theory
https://www.ippp.dur.ac.uk/~ralonso/PnlWPG.html

References for models that don't have constant curvature 

and mappings to HEFT

https://arxiv.org/abs/2008.08597

https://arxiv.org/abs/2109.13290


Clifford Cheung (Cal Tech, EFT, S-matrix)
Title: Introduction to Scattering Amplitudes
e-Print:  1708.03872 [hep-ph] 

 Lecture1      Lecture2      Lecture3      Lecture4 

Suggested further readings:

- papers which show that Yang-Mills^2 = gravity.

https://arxiv.org/abs/1909.01358

https://arxiv.org/abs/2203.13013
- papers reviewing the Galileon and Special Galileon models (and maybe Born-Infeld) 

https://arxiv.org/abs/0811.2197

https://arxiv.org/abs/1501.07600 
- papers related to the connection between scattering amplitudes and 
gravitational waves

https://arxiv.org/abs/1908.01493

https://arxiv.org/abs/2204.05194 
- papers on the bootstrap with rotational symmetry (not the Lorentz symmetry)

https://arxiv.org/abs/2007.00027  
- papers on color-kinematics duality in case of SU(3)-->SU(2) ,etc.

https://arxiv.org/abs/1511.01740

 

Yu-tin Huang (National Taiwan Univ)
Title: Amplitudes
e-Print:  1308.1697 [hep-th] 

 Lecture1     Lecture2      Lecture3      Lecture4   

In the following are some references that maybe helpful:

1. The majority of the lecture can be found in 

https://arxiv.org/abs/1709.04891

In particular, the constraints from consistent interaction of massless states can be found in section 3.1. The discussion for massive higher spin and its constraint is in 5.2.2. Finally the discussion on the Higgs mechanism is found in sec 6 

2. The discussion of anomalies in an onshell view point can be found in 

https://inspirehep.net/literature/1242691

3. A recent Macine learning approach on CFT bootstrap, which can be applied to S-matrix can be found in 

https://arxiv.org/abs/2108.09330

 

Cliff Burgess (McMaster and Perimeter)
Title: EFT in Inflation   
 PDF  

As to reading materials, I will make my slides available once they are ready in final form (so students need not worry about transcribing what I write in them).

There are also a variety of lecture notes they can use. I will follow quite closely these 

https://physics.mcmaster.ca/~cburgess/Notes/InflationEFTs.pdf  

since they were my given mandate. Some general reviews of effective theories in gravity and in general are in 

https://physics.mcmaster.ca/~cburgess/Book/Ch1-6SnippetEFT.pdf

https://physics.mcmaster.ca/~cburgess/Notes/GRET-jhep.pdf

These, and other possibly useful lecture notes on GR, QFT, the SM and cosmology, are available at my lecture-notes page:

https://physics.mcmaster.ca/~cburgess/cburgess/?page_id=630

For a review of Ostrogradsky ghosts see: https://arxiv.org/abs/1506.02210
The argument I made about why higher derivative terms are not a problem in EFTs is summarized in https://arxiv.org/abs/1404.2236. It has also been pointed out - in https://arxiv.org/abs/1709.09695 -  that in practice the leading terms that do arise in scalar EFTs often in any case by accident have the Horndeski form, at least for the lowest few dimensions of an EFT.

 

Sung Hak Lim (Rutgers Univ)

- Here is a basic tutorial for configuring the Google Colab environment for tutorial sessions.

https://drive.google.com/drive/folders/1Sn8Rjqr2v_eH0Yo-5i6vL1prZf6-V1Tu?usp=sharing

- Here is a link to day 1 tutorial materials.

https://drive.google.com/drive/folders/15hGgcmJRIrejdhwVDfN0gBrIAVKmR8jC?usp=sharing

On Monday, I'm planning to cover the following topics:

1.      PyTorch basics

2.      gradient descent methods

3.      regression problems and simple examples

4.      classification problems and simple examples

- The materials for 2nd tutorial
https://drive.google.com/drive/folders/1OIZP9jovhKeKvFbl5033WV3R0OWBHZYp?usp=sharing

 

Jesse Thaler (MIT/IAIFI)
Title: Weak Supervision for the Strong Force

 PDF 

 

Isaac Kim (UC Davis)
Lecture 1: Basics of Quantum Computing
Lecture 2: Quantum Circuit

Lecture 3: Hamiltonian Simulation Algorithms: Part 1
Lecture 4: Hamiltonian Simulation Algorithms: Part 2

 

David Shih (Rutgers Univ), Gregor Kasieczka (Univ. of Hamburg, Machine Learning)

Title: "Modern Machine Learning and Particle Physics"

July 12 (Gregor):

https://drive.google.com/file/d/11cEMqWrZDuWhKrOKRpajbLBhB_18jV0V/view?usp=sharing

July 13 (Gregor):

https://drive.google.com/file/d/1QC4iC4cEI0P3uh_G5Q6Wj7a2IJbiVbnF/view?usp=sharing

July 14 (Gregor):

https://drive.google.com/file/d/1XMfBqJkZBQbb_OU5GT34ycfsAqkbR5BO/view?usp=sharing

 

 

 

Max Tegmark (MIT/ IAIFI/CBMM)
Title: AI for physics & physics for AI

 PDF     PPT 

 

Alex Pomarol (Barcelona, CERN and KIAS)

Title : Amplitudes for EFT

 PDF