Logo

Basics of Bose-Einstein Condensation

Small book cover: Basics of Bose-Einstein Condensation

Basics of Bose-Einstein Condensation
by

Publisher: arXiv
Number of pages: 102

Description:
The review is devoted to the elucidation of the basic problems arising in the theoretical investigation of systems with Bose-Einstein condensate. Understanding these challenging problems is necessary for the correct description of Bose-condensed systems.

Home page url

Download or read it online for free here:
Download link
(690KB, PDF)

Similar books

Book cover: Statistical Mechanics of ParticlesStatistical Mechanics of Particles
by - MIT
Basic principles are examined: the laws of thermodynamics and the concepts of temperature, work, heat, and entropy. Postulates of classical statistical mechanics, microcanonical, canonical, and grand canonical distributions; lattice vibrations; etc.
(7982 views)
Book cover: Thermal and Statistical PhysicsThermal and Statistical Physics
by - Princeton University Press
A text on two related subjects: thermodynamics and statistical mechanics. Computer simulations and numerical calculations are used in a variety of contexts. The book brings some of the recent advances in research into the undergraduate curriculum.
(19515 views)
Book cover: The basic paradoxes of statistical classical physics and quantum mechanicsThe basic paradoxes of statistical classical physics and quantum mechanics
by - arXiv
Statistical classical mechanics and quantum mechanics are two developed theories that contain a number of paradoxes. However the given paradoxes can be resolved within the framework of the existing physics, without introduction of new laws.
(14354 views)
Book cover: An Introduction to Monte Carlo Simulations in Statistical PhysicsAn Introduction to Monte Carlo Simulations in Statistical Physics
by - arXiv
A brief introduction to the technique of Monte Carlo simulations in statistical physics. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, etc.
(12105 views)