The Caldwell Catalogue, compiled by the late Sir Patrick Moore (1923–2012), has delighted amateur astronomers worldwide since its publication in 1995. Twenty years on, Stephen James O'Meara revisits his guide to these 109 deep-sky delights, breathing new life into them and the 20 additional observing targets included as an appendix. This second edition retains O'Meara's detailed visual descriptions and sketches, accompanied by stunning new images taken by amateur photographer Mario Motta and observations by Magda Streicher. The astrophysical descriptions have been updated to account for the many advances in our understanding of the objects, not least due to an armada of space-borne observatories and the new technologies used in large ground-based telescopes. Ideal for observers who have completed the Messier objects and are looking for their next challenge, Deep-Sky Companions: The Caldwell Objects is a fitting tribute from a renowned visual observer to one of astronomy's most famous personalities.

The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which typically are presented in textbooks that require a very strong mathematical background. Second, while leading the reader on this journey, it aims to impart the knowledge needed in order to develop algorithms that simulate realistic physical systems. Connections with several fields of pure and applied physics, from quantum mechanics to econophysics, are provided. Furthermore, the inclusion of fully solved exercises will enable the reader to learn quickly and to explore topics not covered in the main text. The book will appeal especially to graduate students wishing to learn how to simulate physical systems and to deepen their knowledge of the mathematical framework, which has very deep connections with modern quantum field theory.

Our energy system faces a fundamental transformation and renewable energies will play a dominant role in the future energy supply. One of the promising solutions is the use of solar thermal energy in buildings, for cooling, heating and domestic hot water preparation. Solar thermal systems for providing heat and cold to industrial processes show a high potential, too. In the last decade, the application of solar driven cooling systems achieved a significant progress. Steps forward have been taken in the design of system concepts to specific needs and in more reliable and efficient operation of the installed plants. New systems are available on the market and cover a broad range of cooling capacities and driving temperatures. This handbook provides an overview on the various solutions to convert solar heat into useful cooling, reports about experiences made with realized installations and gives support in the design process. Its use will strongly contribute to achieve high quality solar cooling systems which provide significant energy savings and fulfil the user’s requirements in a safe and reliable way.

This book provides an introduction to quantum information science, the science at the basis of the new quantum revolution of this century. It teaches the reader to build and program a quantum computer and leverage its potential. Aimed at quantum physicists and computer scientists, the book covers several topics, including quantum algorithms, quantum chemistry, and quantum engineering of superconducting qubits. Written by two professionals in the experimental and theoretical fields of quantum information science and containing over 200 figures and 100 exercises with solutions and summaries at the end of each chapter, this book is set to become a new standard in the field.

The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which typically are presented in textbooks that require a very strong mathematical background. Second, while leading the reader on this journey, it aims to impart the knowledge needed in order to develop algorithms that simulate realistic physical systems. Connections with several fields of pure and applied physics, from quantum mechanics to econophysics, are provided. Furthermore, the inclusion of fully solved exercises will enable the reader to learn quickly and to explore topics not covered in the main text. The book will appeal especially to graduate students wishing to learn how to simulate physical systems and to deepen their knowledge of the mathematical framework, which has very deep connections with modern quantum field theory.