The model calculations considered here test the DWBA with a wide range of three-body models. Each of the calculations, however, considers only one or two aspects of the accuracy of the DWBA. The lack of overlap of the testing parameters limits the con clusions which can be drawn. This is particularly true with reference to the nucleon core potential where comparable parameters are rarely used. In spite of this limitation, we may make a few observations about the sensitivity of the model cross sections and the mechanism which produces an accurate DWBA. Specifically we may summarize the most important results as follows: 1) In these models the exact DWBA at low energies (E

7000 tonnes of metal, glass, plastic, cables and computer chips leap from the page in miniature pop-up, to tell the story of the Large Hadron Collider's quest to understand the birth of the universe. Protons, travelling at nearly the speed of light, collide within the heart of the ATLAS detector, sending out showers of debris to recreate 40 million times a second, the conditions that existed millionths of a second after the Big Bang! This exciting new edition has been updated throughout to include the revolutionary discovery of the Higgs boson, which is illustrated in a newly-commissioned pop-out element. The Science Museum is supporting the project in recognition of the book's unique approach to communicating contemporary science. Now all ages can join the ATLAS Experiment on this fascinating journey to the beginnings of the universe in this astonishing pop-up book.

In the seven years since this volume first appeared. there has been an enormous expansion of the range of problems to which Monte Carlo computer simulation methods have been applied. This fact has already led to the addition of a companion volume ("Applications of the Monte Carlo Method in Statistical Physics", Topics in Current Physics. Vol . 36), edited in 1984, to this book. But the field continues to develop further; rapid progress is being made with respect to the implementation of Monte Carlo algorithms, the construction of special-purpose computers dedicated to exe cute Monte Carlo programs, and new methods to analyze the "data" generated by these programs. Brief descriptions of these and other developments, together with numerous addi tional references, are included in a new chapter , "Recent Trends in Monte Carlo Simulations" , which has been written for this second edition. Typographical correc tions have been made and fuller references given where appropriate, but otherwise the layout and contents of the other chapters are left unchanged. Thus this book, together with its companion volume mentioned above, gives a fairly complete and up to-date review of the field. It is hoped that the reduced price of this paperback edition will make it accessible to a wide range of scientists and students in the fields to which it is relevant: theoretical phYSics and physical chemistry , con densed-matter physics and materials science, computational physics and applied mathematics, etc.

Monte Carlo computer simulations are now a standard tool in scientific fields such as condensed-matter physics, including surface-physics and applied-physics problems (metallurgy, diffusion, and segregation, etc. ), chemical physics, including studies of solutions, chemical reactions, polymer statistics, etc. , and field theory. With the increasing ability of this method to deal with quantum-mechanical problems such as quantum spin systems or many-fermion problems, it will become useful for other questions in the fields of elementary-particle and nuclear physics as well. The large number of recent publications dealing either with applications or further development of some aspects of this method is a clear indication that the scientific community has realized the power and versatility of Monte Carlo simula tions, as well as of related simulation techniques such as "molecular dynamics" and "Langevin dynamics," which are only briefly mentioned in the present book. With the increasing availability of recent very-high-speed general-purpose computers, many problems become tractable which have so far escaped satisfactory treatment due to prac tical limitations (too small systems had to be chosen, or too short averaging times had to be used). While this approach is admittedly rather expensive, two cheaper alternatives have become available, too: (i) array or vector processors specifical ly suited for wide classes of simulation purposes; (ii) special purpose processors, which are built for a more specific class of problems or, in the extreme case, for the simulation of one single model system.

The highest-energy particle accelerator ever built, the Large Hadron Collider runs under the border between France and Switzerland. It leapt into action on September 10, 2008, amid unprecedented global press coverage and widespread fears that its energy would create tiny black holes that could destroy the earth. By smashing together particles smaller than atoms, the LHC recreates the conditions hypothesized to have existed just moments after the big bang. Physicists expect it to aid our understanding of how the universe came into being and to show us much about the standard model of particle physics—even possibly proving the existence of the mysterious Higgs boson. In exploring what the collider does and what it might find, Don Lincoln explains what the LHC is likely to teach us about particle physics, including uncovering the nature of dark matter, finding micro black holes and supersymmetric particles, identifying extra dimensions, and revealing the origin of mass in the universe. Thousands of physicists from around the globe will have access to the LHC, none of whom really knows what outcomes will be produced by the $7.7 billion project. Whatever it reveals, the results arising from the Large Hadron Collider will profoundly alter our understanding of the cosmos and the atom and stimulate amateur and professional scientists for years to come.