Introduction to Particles and Fields  2022B
Course: Introduction to Particles and Fields  2022B

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Course plan
 Introduction to the Standard Model of particle physics.
Collider experiments. Measurements at particle accelerators.  Kinematics of decay and scattering processes.
 Dirac equation, spin, magnetic moment, antiparticles.
 Interaction by particle exchange. Feynman diagrams.
 Quantum electrodymanics (QED).
 Calculations in perturbation theory  QED examples.
 Quantum chromodynamics (QCD): Symmetries in quantum mechanics. Isospin. Baryons. Mesons. SU(3) flavor symmetry. Color. Confinement. Renormalization of couplings. QCD in electronpositron annihilation. Calculations in perturbative QCD. Quarkonia.
 The weak interaction. Electroweak unification (W, Z, photon). The Z resonance. Top quark.
 Lagrangian description of field theory. Lagrangians and equations of motion for scalar, spinor and vector fields. Abelian and nonAbelian gauge theories. Spontaneous symmetry breaking. Higgs mechanism. The Standard Model fields and Lagrangian. Higgs boson.
 Introduction to the Standard Model of particle physics.

Textbook
The official textbook of the course is:
 Modern Particle Physics by Mark Thomson (available in the library).
The textbook's errata can be found here.
Additional textbooks that some of you might find useful: Introduction to Elementary Particles by David Griffiths (available in the library)
 Concepts of Elementary Particle Physics by Michael E. Peskin
 Modern Particle Physics by Mark Thomson (available in the library).

Weekly lectures plan (textbook sections)
 Week of 20 Mar: 1.1, (1.2), 1.31.4, 2.12.2, (2.3)
 Week of 27 Mar: 3.13.5, 4.1
 Week of 3 Apr: 4.24.4, B.1, 4.54.7.4
 Week of 10 Apr: 4.8, 4.7.5, 4.9, 5.15.2
 Week of 17 Apr  Passover break
 Week of 24 Apr: D.1D.2, 5.35.4, 6.16.2.4, (6.5)
 Week of 1 May: 6.4, 9.19.3
 Week of 8 May: 9.49.6.1
 Week of 15 May: 9.6.2, 9.6.49.6.5, 10.2, 10.4
 Week of 22 May: 10.6, 10.5, 10.710.8, 11.111.2
 Week of 29 May: 11.311.5.1, 12.1, 14.214.3, 15.1.1, 11.6
 Week of 5 Jun: 15.215.3.0
 Week of 12 Jun: 15.315.4, 16.5.1, 16.1.0, 17.2.017.2.2, 17.3
 Week of 19 Jun: 17.5.117.5.3, F
 Week of 26 Jun: 17.5.417.7
THE END

Homework submission & grading

Exams

Teaching staff
Lecturer: Yevgeny Kats
Email: katsye@bgu.ac.il
Office hours: Tuesday 17:3018:30 (or by appointment)
During exams period  coordinate time by email
Location: 54 / 328Teaching Assistant: Yarden Flitter
Email: jordanf@post.bgu.ac.il
Office hours: Thursday 16:0017:00 (notify me by email that you want to participate)
Location: 54 / 113 
Course policy
 Students are expected to attend the lectures and exercise sessions. The lectures (but not the exercise sessions) will be hybrid, however the recommended option is inperson attendance.
 It is highly recommended to read the textbook as we go along.
 A homework assignment will typically be posted on the website each week, with a submission deadline of a week later. Homework must be submitted online before the deadline.
 After solutions are posted, students will be asked to grade their own homework and submit their grades by a weekly deadline. An incorrect answer or incorrect derivation should usually be given at most 60% of the points. During the semester the course staff will confirm the grading of 3 randomly selected questions.
 The students are asked to follow the above instructions, with no exceptions:
 Submission of HW assignment without grading it will be considered as if the HW assignment has not been submitted, and no credit will be given for that HW assignment.
 The HW deadlines are strict! Requests for postponing the deadlines will be declined, except for particular circumstances (Miluim, special family occasions, etc...) and only if the request has been sent to the teaching assistant before the deadline.
 The grade in the course will be determined by the exam (90%) and homework assignments (10%). Credit will only be given for assignments that were both submitted and graded on time. To be considerate of unexpected personal circumstances that might arise during the semester, the assignment with the lowest grade will not be taken into account in computing the average. It is still highly recommended to submit all the assignments.
 Students are expected to attend the lectures and exercise sessions. The lectures (but not the exercise sessions) will be hybrid, however the recommended option is inperson attendance.