PhD Admission at RRCAT JEST Score Required

Is JEST score required for admission to PhD at Raja Ramanna Centre for Advanced Technology

Yes Joint Entrance Screening Test score is required for admission in PHD program but it is not compulsory if you have pass CSIR-UGC NET exam so you will be eligible to get admission for PHD in Raja Ramanna Centre for Advanced Technology (RRCAT), Indore

Raja Ramanna Centre for Advanced Technology (RRCAT), Indore, was founded in 1984 by the Department of Atomic Energy (DAE)…

Qualification:
For Physics candidates:
You have to passed a M.Sc. degree in Physics with a minimum of 60% overall marks,

For admission you have to pass Joint Entrance Screening Test (JEST 2014) and/or CSIR-UGC NET in June/ December exam with good marks ..

Important Dates for PRCAT Admission 2014
Last date for online submission is 10th April, 2014.
Last date for receiving RRCAT admission applications by post at RRCAT is : 14th April, 2014.

Contact details :
Raja Ramanna Centre for Advanced Technology,
PO. : CAT, Indore – 452 013,
Madhya pradesh ( India ),
Telephone No. : +91 – 731 – 2321341,
Fax No. : +91 – 731 – 2321343,
Email : pdgupta@rrcat.gov.in,

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Answered By StudyChaCha Member

I want to do PHD in physics from RRCAT so will you please provide me information about required marks in M.Sc for giving JEST entrance exam ?

As you want get information about required marks in M.Sc for giving JEST entrance exam for doing PHD in physics from RRCAT so here I am giving you same:

Eligibility for JEST:

JEST is Joint Entrance Screening Test.

Required marks in M.Sc:
Candidate must have a minimum of 60% overall marks in M.Sc degree.

Application Fee
An Application Fee of Rs. 300

Rs 150 for SC/ST applicants

JEST Physics Syllabus
Syllabus for Physics
Mathematical Methods
Vector algebra and vector calculus; linear vector spaces, linear operators, matrices and Eigen value problem; Sturm–Liouville theory, classical orthogonal polynomials; linear ordinary differential equations, exact and series methods of solution; linear partial differential equations, solution by separation of variables; complex variables, analytic functions, Taylor and Laurent expansions, contour integration; Fourier and Laplace transforms.
Classical Mechanics
Newton’s laws, conservation of energy and momentum, collisions; generalized coordinates, principle of least action, Lagrangian and Hamiltonian formulations of mechanics; symmetry and conservation laws; central force problem, Kepler problem; rigid body motion; small oscillations and normal modes; special relativity in classical mechanics.
The uncertainty principle; conceptual basis of quantum mechanics; Schrodinger equation, problems in one, two and three dimensions, bound states and tunnelling, particle in a box, harmonic oscillator, hydrogen atom; matrix formulation of quantum theory, unitary transformations and Hermitian operators and their properties; orbital and spin angular momenta, addition of angular momenta; time independent and time dependent perturbation theory, Fermi golden rule; elementary scattering theory.
Electromagnetic Theory
Laws of electrostatics and magnetostatics, methods of solving boundary value problems, multipole expansion; fields in conducting, dielectric, diamagnetic and paramagnetic materials; Faraday’s law and time varying fields; conservation of charge, displacement current; Maxwell’s equations; energy and momentum of electromagnetic fields, Poynting theorem; propagation of plane electromagnetic waves, reflection and refraction of plane electromagnetic waves, electromagnetic waves in dispersive and conducting media; scalar and vector potentials, Coulomb and Lorentz gauge, wave equation in terms of electromagnetic potentials; radiation from moving charges, retarded and advanced potentials, Lienard-Wiechert potentials, multipole radiation, Larmor’s formula.
Quantum Mechanics
The uncertainty principle; conceptual basis of quantum mechanics; Schrodinger equation, problems in one, two and three dimensions, bound states and tunnelling, particle in a box, harmonic oscillator, hydrogen atom; matrix formulation of quantum theory, unitary transformations and Hermitian operators and their properties; orbital and spin angular momenta, addition of angular momenta; time independent and time dependent perturbation theory, Fermi golden rule; elementary scattering theory
Thermodynamics and Statistical Physics
Laws of thermodynamics; work and heat; thermodynamic potentials, Maxwell’s relations; statistical ensembles; partition function; classical ideal gas, harmonic oscillators; classical and quantum statistics; Fermi and Bose gases; black body radiation; first and second order phase transitions.
Solid State Physics
Simple crystal structures and X-ray diffraction; lattice vibrations and thermal properties of solids; free electron theory; band theory of solids; metals, semiconductors and insulators; basic electrical, optical and magnetic properties of solids; elements of superconductivity.
Electronics
Diodes, rectifier circuits, junctions, transistors and field effect devices; device characteristics, frequency dependence and applications like active filters and oscillator circuits; solar cells, photo detectors, and LEDs; operational amplifiers and their applications; Boolean algebra, digital techniques and applications: registers, counters, comparators and similar circuits; A/D and D/A converters; microprocessor and microcontroller basics.
Nuclear and Particle Physics
Structure of the nucleus; binding energy, nuclear fusion and fission; radioactive decay, barrier penetration by alpha particles; classification of elementary particles and fundamental interactions, leptons and hadrons, elementary ideas of quark model; conservation laws in particle reactions.
Atomic and Optical Physics
Interference, diffraction and polarization of light; photoelectric effect; spectra of single and multiple electron atoms; Zeeman and Stark effects; electric dipole transition and selection rules; hyperfine structure; spontaneous and stimulated emission. Experimental data and error analysis
Probability theory
Gaussian and Poisson distributions; error analysis; propagation of errors; significant figures; least square fitting.

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Answered By StudyChaCha Member