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**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

**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

**Alex Pomarol (Barcelona, CERN and KIAS)**

Title : Amplitudes for EFT