Skip to main content

Nuclear Physics

Main page content

Submitted by Anonymous (not verified) on Thu, 03/15/2018 - 15:25

YEAR ONE     SEMESTER ONE

PHY 565: Nuclear Physics I         3 Credits  


Fundamentals properties of Nuclei. Nuclear models. Energetics of radioactive decay. Nuclear cross-sections and their measurements. Interaction of nuclear radiations with matter. Nuclear detectors. Charged particle accelerators. Nuclear reactors. 


PHY 566: Nuclear Physics II         3 Credits  
Nuclear fission and its applications. Thermonuclear reactions and nuclear fusion. Production of neutrons. Neutron standardization. Neutron activation analysis. Neutron diffraction, Refraction, Reflection and Polarization. Neutron radiography. 

PHY 556: Electronic Instrumentation         3 Credits  

Functions and characterization of instruments. Errors in measurements. Introduction of microelectronic device technology. Linear circuitry. Feedback theory and its applications. Transducers. Signal Generators. Signal analysers Noise. 

PHY 558  Group Theory            3 Credits

Abstract Group theory. Linear representation of a group. Finite groups. Permutation groups. The 32 crystallographic point groups. The 230 crystallographic space groups. Magnetic point and space groups.

PHY 562: Thermal And Magnetic Properties of Solid         3 Credits  

Elasticity and elastic waves. Lattice vibrations. Thermal properties of solids (Heat capacity, thermal conductivity, expansion) Magnetism. Phase transition. Modes for Magnetic Insulators and metal. Diamagnetism, Paramagnetism, Ferromagnetism, Antiferromagnetism, Spin waves. 

PHY 546: Advanced Programming         2 Credits  

Introduction of high level programming languages (Fortran, Pascal, C++, SQL). Programming design. Structural design. Developing an algorithm - define problem, design a solution algorithm, checking the solution algorithm. Names and data types. Control structures - simple IF statements. ELSE statements, combine IF statements, nested IF statements, the CASE structure. Repetition control structures - DO WHILE structure. REPEAT .. UNTIL structure, combined repetition constructs. 
Modularization-hierarchy charts or structure charts. Steps in modularisation. Programming examples using modules. Module design consideration. Array and matrices. Characters and strings. Procedure and functions. Files. List processing (pointers). Enumerated and set types. Records. Search and sorting. Iteration and recursion. Graphics. Modelling and simulation. 

PHY 553 Topics in Classical and Quantum Mechanics         3 Credits  

Review of Lagrangian and Hamiltonian Mechanics. Canonical transformations. The Hamilton-Jacobi Theory. Connection between Classical and Quantum Mechanics. Linear Vector Spaces in Quantum Mechanics. Elements of Representation theory. Motion of a particle in a central force field. Approximate methods in Quantum Mechanics. Elementary scattering theory. The spin. Dynamics of two-level systems. 

PHY 555 Theory of Fields         3 Credits  

Special theory of relativity. lnvariance of electrical charge. Dynamics of relativistic particle and electromagnetic fields. Radiation by moving charges. Multipole field. Radiation damping. Particle in a gravitational field. 

PHY 559 Statistical Physics         3 Credits  

Classical statistical mechanics; Postulates; Microcanonical, Canonical and Gens canonical ensembles. Boltzmann's H- theorem; Maxwell-Boltzmann distribution, applications. Quantum statistical mechanics; Postulates, density matrix, Bose and Fermi gases. Darwin-Fowler methods; Imperfect gases; Gluster expansion. Phase transition, Ising model, Molecular field approximation; Critical fluctuation; Time correlation function; Fluctuation-dissipation theorem. 

PHY 554 Topics in Advanced Quantum Mechanics         3 Credits  

Elements of the Foral theory of scattering. Identical particle. Application of second quantization. Photons. Bosons. Fermions. Particles in an external field. Radiation of QED. 

PHY 551 Mathematical Methods for Physics         3 Credits  

Vectors and matrices. System of linear equations and linear programming. Function representation and curve fitting. The Monte Carlo Method. Linear spaces. Fourier series, Laplace Transform. Introduction to the Theory of distributions (Generalised functions). Ordinary Differential Equations. Special Functions. Green's Functions.