Higgs Centre School of Theoretical Physics 2019

Abstract

The 5th edition of the Higgs Centre School of Theoretical Physics will take place in May 27- May 31 2019 at the Higgs Centre, James Clerk Maxwell Building, Edinburgh. The scientific programme starts at 9:00 on Monday, May 27th, and ends at 16:00 on Friday, May 31st. The School comprises two in-depth lecture series, each involving five 2-hours lectures delivered on the blackboard, and a similar number of tutorials. For this year's School we are delighted to have:

Maurizio Pierini (CERN, Geneva): 'Deep Learning for particle physics';

Lectures: Monday through Friday, 9:00-11:00, Lecture Theatre B.
Tutorials: Monday through Friday, 11:30-13:00 in JCMB 3217 Teaching Studio.

Abstract: Deep learning revolutionised machine learning in the last few years, boosting progresses in many technological applications related to artificial intelligence. With a new generation of particle-physics experiments under planning and new challenges ahead, deep learning offers the possibility of preserving and extending physics reach while keeping computing requirements under control. In these lectures, we will review applications of deep learning applications to LHC-related problems, covering many architectures such as convolutional layers, recurrent units, graph networks. ________________________________________

Andreas Ringwald (DESY, Hamburg): 'Axions';

Lectures:Monday through Friday, 14:00-16:00, Lecture Theatre B.
Tutorials: Monday through Friday, 16:30-18:00 in JCMB 3217 Teaching Studio.

Abstract: We will give a comprehensive review of the physics case for the axion. Topics we will cover include: topological gluon fluctuations and the theta vacuum in non-Abelian gauge theories, the axial anomaly and chiral Ward identities in QCD, the strong CP problem, and its axionic solution. We will present ultraviolet completions of the Standard Model yielding the axion and derive their predictions for the axion couplings to the known Standard Model particles. We derive phenomenological and astrophysical constraints on these couplings. We show that, in the remaining parameter space, the axion is an inevitable candidate for cold dark matter. We demonstrate that the PQ field can even be a candidate for the inflaton. We end with an overview of the experimental and observational activities to hunt for the axion.

Related material:

'Axions and Other Similar Particles';, Andreas Ringwald, Leslie Rosenberg and Gray Rybka, in 'Review of Particle Physics';, Phys. Rev. D 98 (2018) 030001 [http://pdg.lbl.gov/2018/reviews/rpp2018-rev-axions.pdf]

Timetable

See the full timetable on Indico

Sessions

27 May 2019 09:00
Deep Learning for particle physics: Maurizio Pierini - Lecture 1

27 May 2019 11:00
Break

27 May 2019 11:30
Deep Learning for particle physics: Maurizio Pierini - Tutorial 1

27 May 2019 13:00
Lunch Break

27 May 2019 14:00
Axions: Andreas Ringwald - Lecture 1

27 May 2019 16:00
Break: Break

27 May 2019 16:30
Axions: Andreas Ringwald - Tutorial 1

28 May 2019 09:00
Deep Learning for particle physics: Maurizio Pierini - Lecture 2

28 May 2019 11:00
Break: Break

28 May 2019 11:30
Deep Learning for particle physics: Maurizio Pierini - Tutorial 2

28 May 2019 13:00
Lunch Break: Lunch Break

28 May 2019 14:00
Axions: Andreas Ringwald - Lecture 2

28 May 2019 16:00
Break: Break

28 May 2019 16:30
Axions: Andreas Ringwald - Tutorial 2

29 May 2019 09:00
Deep Learning for particle physics: Maurizio Pierini - Lecture 3

29 May 2019 11:00
Break: Break

29 May 2019 11:30
Deep Learning for particle physics: Maurizio Pierini - Tutorial 3

29 May 2019 13:00
Lunch Break: Lunch Break

29 May 2019 14:00
Axions: Andreas Ringwald - Lecture 3

29 May 2019 16:00
Break: Break

29 May 2019 16:30
Axions: Andreas Ringwald - Tutorial 3

30 May 2019 09:00
Deep Learning for particle physics: Maurizio Pierini - Lecture 4

30 May 2019 11:00
Break: Break

30 May 2019 11:30
Deep Learning for particle physics: Maurizio Pierini - Tutorial 4

30 May 2019 13:00
Lunch Break: Lunch Break

30 May 2019 14:00
Axions: Andreas Ringwald - Lecture 4

30 May 2019 16:00
Break: Break

30 May 2019 16:30
Axions: Andreas Ringwald - Tutorial 4

31 May 2019 09:00
Deep Learning for particle physics: Maurizio Pierini - Lecture 5

31 May 2019 11:00
Break: Break

31 May 2019 11:30
Deep Learning for particle physics: Maurizio Pierini - Tutorial 5

31 May 2019 13:00
Lunch Break: Lunch Break

31 May 2019 14:00
Axions: Andreas Ringwald - Lecture 5

31 May 2019 16:00
Break: Break

31 May 2019 16:30
Axions: Andreas Ringwald - Tutorial 5

Other contributions

/
Break (0h30′)
-

Higgs Centre School of Theoretical Physics 2019

Higgs Centre Workshop
JCMB Lecture Theatre B