PARTICLE PHYSICS

Name: PARTICLE PHYSICS
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PHYSICS 735

과목 설명

Structure of elementary particles, quarks and gluons, introduction to calculational techniques of particle interactions (Feynman diagrams), constituent models of electroweak and strong interactions and associated phenomenological techniques. Knowledge of introductory particle physics and quantum mechanics (such asPHYSICS 535) strongly encouraged.

선수과목

Graduate/professional standing

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.56

-3.93% 과거 데이터 대비

수료율

100%

0.51% 과거 데이터 대비

A 비율

33.33%

-48.97% 과거 데이터 대비

학급 규모

-18.59% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

COLLIDER PHYSICS PHENOMENOLOGY

PHYSICS 835

Standard model. Application to e+e-, proton-antiproton, pp, and ep colliders. Jets. Weak boson, heavy-quark, and Higgs boson production and decay. Quarkonia. Neutral B meson mixing. Grand unification. Supersymmetry.

SPECIAL TOPICS IN THEORETICAL PHYSICS

PHYSICS 801

Selected topics in theoretical physics.

INTRODUCTION TO PARTICLE PHYSICS

PHYSICS 535

Review of quantum physics; introduction to particles, antiparticles and fundamental interactions; detectors and accelerators; symmetries and conservation laws; electroweak and color interactions of quarks and leptons; unification theories.

INTRODUCTION TO MODERN PHYSICS

PHYSICS 241

Kinetic theory; relativity; experimental origin of quantum theory; atomic structure and spectral lines; topics in solid state, nuclear and particle physics.

EXPERIMENTAL METHODS IN NUCLEAR-, PARTICLE-, AND ASTROPHYSICS

PHYSICS 736

Interaction of particles with matter; detector techniques at colliding beam machines, in nuclear and particle physics, astrophysics, and cosmology; experimental strategies in detector design; principles of simulation and Monte Carlo methods, error analysis and statistical techniques in data analysis. Knowledge of introductory particle physics (such asPHYSICS 535) strongly encouraged.