The R Student Companion

ISBN-13: 9781138469358 / Angielski / Twarda / 2017

Brian Dennis

Opis

Cosmology in Gauge Field Theory and String Theory focuses on the cosmological implications of the gauge theories of particle physics and of string theory.

The book first examines the universe's series of phase transitions in which the successive gauge symmetries of the higher-temperature phase were spontaneously broken after the big bang, discussing relics of these phase transitions, more generic relics (baryons, neutrinos, axions), and supersymmetric particles (neutralinos and gravitinos). The author next studies supersymmetric theory, supergravity theory, and the constraints on the underlying field theory of the universe's inflationary era. The book concludes with a discussion of black hole solutions of the supergravity theory that approximates string theory at low energies and the insight that string theory affords into the microscopic origin of the Bekenstein-Hawking entropy.

Cosmology in Gauge Field Theory and String Theory provides a modern introduction to these important problems from a particle physicist's perspective. It is intended as an introductory textbook for a first course on the subject at a graduate level.

Spis treści

Introduction: Getting Started with R. R Scripts. Functions. Basic Graphs. Data Input and Output. Loops. Logic and Control. Quadratic Functions. Trigonometric Functions. Exponential and Logarithmic Functions. Matrix Arithmetic. Systems of Linear Equations. Advanced Graphs. Probability and Simulation. Fitting Models to Data. Conclusion-It Doesn't Take a Rocket Scientist. Appendix A: Installing R. Appendix B: Getting Help. Appendix C: Common R Expressions. Index.

O autorze

Brian Dennis is a professor with a joint appointment in the Department of Fish and Wildlife Sciences and the Department of Statistical Sciences at the University of Idaho. He received a master's degree in statistics and a Ph.D. in ecology from The Pennsylvania State University. He has authored over 70 scientific articles on applications of statistics and mathematical modeling in ecology and natural resource management. He has been enthusiastically using R in his scientific work and teaching R in his courses for a decade.