Computational Modeling and Visualization of Physical Systems with Python

Computational Modeling, by Jay Wang introduces computational modeling and visualization of physical systems that are commonly found in physics and related areas. The authors begin with a framework that integrates model building, algorithm development, and data visualization for problem solving via scientific computing. Through carefully selected problems, methods, and projects, the reader is guided to learning and discovery by actively doing rather than just knowing physics.

Preface ix 1 Introduction 1 1.1 Computational modeling and visualization, 1 1.2 The science and art of numerics, 2 1.3 Fundamentals of programming and visualization, 6 1.4 Exercises and projects, 14 1.A Floating point representation, 15 1.B Python installation, 17 1.C The Matplotlib plot function, 20 1.D Basic NumPy array operations, 21 2 Free Fall and Ordinary Differential Equations 27 2.1 Free fall with Euler’s method, 27 2.2 The Runge-Kutta (RK) methods, 32 2.3 System of first-order ODEs, 37 2.4 The leapfrog method, 43 2.5 Exercises and projects, 48 2.A Area preservation of the leapfrog method, 52 2.B Program listings and descriptions, 54 3 Realistic Projectile Motion with Air Resistance 57 3.1 Visualization of ideal projectile motion, 57 3.2 Modeling air resistance, 58 3.3 Linear air resistance, 62 3.4 The Lambert 𝑊 function, 67 3.5 Quadratic air resistance and spin, 70 3.6 Physics of ball sports, 73 3.7 Shooting methods, 80 3.8 Exercises and projects, 83 3.A Bisection and Newton’s root finders, 87 3.B Program listings and descriptions, 89 4 Planetary Motion and Few-Body Problems 92 4.1 Motion of a planet, 92 4.2 Properties of planetary motion, 94 4.3 Precession of Mercury, 99 4.4 Star wobbles and exoplanets, 107 4.5 Planar three-body problems, 111 4.6 The restricted three-body problem, 116 4.7 Exercises and projects, 125 4.A Rotating frames and rate of change of vectors, 130 4.B Rotation matrices, 132 4.C Radial velocity transformation, 133 4.D Program listings and descriptions, 135 5 Nonlinear Dynamics and Chaos 144 5.1 A first model: the logistic map, 144 5.2 Chaos, 153 5.3 A non-linear driven oscillator, 157 5.4 The Lorenz flow, 163 5.5 Power spectrum and Fourier transform, 168 5.6 Fractals, 170 5.7 Exercises and projects, 174 5.A Program listings and descriptions, 179 6 Oscillations and Waves 184 6.1 A damped harmonic oscillator, 184 6.2 Vibrations of triatomic molecules, 188 6.3 Displacement of a string under a load, 194 6.4 Point source and finite element method, 199 6.5 Waves on a string, 204 6.6 Standing waves, 210 6.7 Waves on a membrane, 212 6.8 A falling tablecloth toward equilibrium, 215 6.9 Exercises and projects, 217 6.A Program listings and descriptions, 222 7 Electromagnetic Fields 226 7.1 The game of electric field hockey, 226 7.2 Electric potentials and fields, 228 7.3 Laplace equation and finite element method, 233 7.4 Boundary value problems with FEM, 242 7.5 Meshfree methods for potentials and fields, 247 7.6 Visualization of electromagnetic fields, 251 7.7 Exercises and projects, 256 7.A Program listings and descriptions, 261 8 Time-Dependent Quantum Mechanics 272 8.1 Time-dependent Schrödinger equation, 272 8.2 Direct simulation, 274 8.3 Free fall, the quantum way, 281 8.4 Two-state systems and Rabi flopping, 289 8.5 Quantum waves in 2D, 293 8.6 Exercises and projects, 299 8.A Numerical integration, 304 8.B Program listings and descriptions, 307 9 Time-Independent Quantum Mechanics 313 9.1 Bound states by shooting methods, 313 9.2 Periodic potentials and energy bands, 319 9.3 Eigenenergies by FDM and FEM methods, 320 9.4 Basis expansion method, 326 9.5 Central field potentials, 331 9.6 Quantum dot, 335 9.7 Exercises and projects, 343 9.A Numerov’s method, 348 9.B The linear potential and Airy function, 349 9.C Program listings and descriptions, 351 10 Simple Random Problems 362 10.1 Random numbers and radioactive decay, 362 10.2 Random walk, 364 10.3 Brownian motion, 367 10.4 Potential energy by Monte Carlo integration, 369 10.5 Exercises and projects, 372 10.A Statistical theory of Brownian motion, 376 10.B Nonuniform distributions, 377 10.C Program listings and descriptions, 378 11 Thermal Systems 382 11.1 Thermodynamics of equilibrium, 382 11.2 The Ising model, 392 11.3 Thermal relaxation by simulated annealing, 404 11.4 Molecular dynamics, 406 11.5 Exercises and projects, 414 11.A Boltzmann factor and entropy, 421 11.B Exact solutions of the 2D Ising model, 422 11.C Program listings and descriptions, 424 12 Classical and Quantum Scattering 428 12.1 Scattering and cross sections, 428 12.2 Rainbow and glory scattering, 432 12.3 Quantum scattering amplitude, 437 12.4 Partial waves, 439 12.5 Exercises and projects, 450 12.A Derivation of the deflection function, 456 12.B Partial wave analysis, 457 12.C Program listings and descriptions, 459 List of Programs 463 Bibliography 467 Index 471