Author: SIMON. PORTEGIES ZWARTPublisher:
ISBN: 9780750353298
Category :
Languages : en
Pages :
Book Description
ASTROPHYSICAL RECIPES (SECOND EDITION).
Author: SIMON. PORTEGIES ZWARTPublisher:
ISBN: 9780750353298
Category :
Languages : en
Pages :
Book Description
Astrophysical Recipes
Author: Simon Portegies ZwartPublisher:
ISBN: 9780750313223
Category : Astronomical Multipurpose Software Environment (Electronic resource)
Languages : en
Pages : 0
Book Description
"Computational astrophysics is a new and quickly growing discipline. In this book the authors outline the fundamentals for computational astrophysics, focusing on the use of the Astronomical Multipurpose Software Environment (AMUSE), which is a general-purpose simulation environment in astrophysics written in Python. AMUSE allows you to combine existing solvers to build new applications that can be combined again to study gradually more complex situations. This enables the growth of multi-physics and multi-scale application software in a hierarchical fashion, testing each intermediate step as the complexity of the software continues to increase. All examples in the book are associated with codes that run on a simple laptop or workstation. All figures are reproducible with a simple script, and all scripts are available online to be downloaded and run accordingly."--Source : résumé de l'éditeur.
The Astronaut's Cookbook
Author: Charles T. BourlandPublisher: Springer Science & Business Media
ISBN: 144190624X
Category : Science
Languages : en
Pages : 224
Book Description
Astronauts, cosmonauts, and a very limited number of people have experienced eating space food due to the unique processing and packaging required for space travel. This book allows anyone with a normal kitchen to prepare space food. Since some of the processing such as freeze dehydration, and packaging cannot be accomplished in the normal kitchen, many of the recipes will not produce the food that would be launched in space, but will prepare food similar to what the astronauts would eat after they had added the water to the food in space. Many of the space foods are prepared to the point of ready to eat, and then frozen and freeze dried. Food preparation in this book stops at the point of ready to eat before the freezing and dehydrating takes place. Recipes in this book are extracted from the NASA food specifications and modified for preparation in a normal kitchen. The book will contain the following chapters: Introduction, Appetizers, Beverages, Bread and Tortillas, Cookies, Sandwiches, Desserts, Main Dishes, Soups and Salads, Vegetables, and Future Space Foods. Interesting tidbits of space food history will be spread throughout the book. Examples like; did NASA invent Tang?, who was the first person to eat in space?, the Gemini sandwich fiasco, why there is no alcohol in U.S. space food systems, astronauts favorite food, etc.
Statistics, Data Mining, and Machine Learning in Astronomy
Author: Željko IvezićPublisher: Princeton University Press
ISBN: 0691198306
Category : Computers
Languages : en
Pages : 548
Book Description
"As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. The updates in this new edition will include fixing "code rot," correcting errata, and adding some new sections. In particular, the new sections include new material on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest"--
An Introduction to Modern Astrophysics
Author: Bradley W. CarrollPublisher: Cambridge University Press
ISBN: 1108390242
Category : Science
Languages : en
Pages : 1361
Book Description
An Introduction to Modern Astrophysics is a comprehensive, well-organized and engaging text covering every major area of modern astrophysics, from the solar system and stellar astronomy to galactic and extragalactic astrophysics, and cosmology. Designed to provide students with a working knowledge of modern astrophysics, this textbook is suitable for astronomy and physics majors who have had a first-year introductory physics course with calculus. Featuring a brief summary of the main scientific discoveries that have led to our current understanding of the universe; worked examples to facilitate the understanding of the concepts presented in the book; end-of-chapter problems to practice the skills acquired; and computational exercises to numerically model astronomical systems, the second edition of An Introduction to Modern Astrophysics is the go-to textbook for learning the core astrophysics curriculum as well as the many advances in the field.
Extreme Ultraviolet Astronomy
Author: Martin A. BarstowPublisher: Cambridge University Press
ISBN: 1139435124
Category : Science
Languages : en
Pages : 412
Book Description
This book describes the development of astronomy in the Extreme Ultraviolet wavelength range, from the first rocket-based experiments to later satellite missions. It will be of great value to graduate students and researchers.
Bayesian Logical Data Analysis for the Physical Sciences
Author: Phil GregoryPublisher: Cambridge University Press
ISBN: 113944428X
Category : Mathematics
Languages : en
Pages : 498
Book Description
Bayesian inference provides a simple and unified approach to data analysis, allowing experimenters to assign probabilities to competing hypotheses of interest, on the basis of the current state of knowledge. By incorporating relevant prior information, it can sometimes improve model parameter estimates by many orders of magnitude. This book provides a clear exposition of the underlying concepts with many worked examples and problem sets. It also discusses implementation, including an introduction to Markov chain Monte-Carlo integration and linear and nonlinear model fitting. Particularly extensive coverage of spectral analysis (detecting and measuring periodic signals) includes a self-contained introduction to Fourier and discrete Fourier methods. There is a chapter devoted to Bayesian inference with Poisson sampling, and three chapters on frequentist methods help to bridge the gap between the frequentist and Bayesian approaches. Supporting Mathematica® notebooks with solutions to selected problems, additional worked examples, and a Mathematica tutorial are available at www.cambridge.org/9780521150125.
Numerical Recipes 3rd Edition
Author: William H. PressPublisher: Cambridge University Press
ISBN: 0521880688
Category : Computers
Languages : en
Pages : 1195
Book Description
Do you want easy access to the latest methods in scientific computing? This greatly expanded third edition of Numerical Recipes has it, with wider coverage than ever before, many new, expanded and updated sections, and two completely new chapters. The executable C++ code, now printed in colour for easy reading, adopts an object-oriented style particularly suited to scientific applications. Co-authored by four leading scientists from academia and industry, Numerical Recipes starts with basic mathematics and computer science and proceeds to complete, working routines. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Highlights of the new material include: a new chapter on classification and inference, Gaussian mixture models, HMMs, hierarchical clustering, and SVMs; a new chapter on computational geometry, covering KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres; interior point methods for linear programming; MCMC; an expanded treatment of ODEs with completely new routines; and many new statistical distributions. For support, or to subscribe to an online version, please visit www.nr.com.
Variables Stars and the Astrophysical Returns of the Microlensing Surveys
Author: Roger FerletPublisher: Atlantica Séguier Frontières
ISBN: 9782863322154
Category : Astrophysics
Languages : en
Pages : 496
Book Description
Numerical Recipes in Fortran 90: Volume 2, Volume 2 of Fortran Numerical Recipes
Author: William H. PressPublisher: Cambridge University Press
ISBN: 9780521574396
Category : Computers
Languages : en
Pages : 588
Book Description
This book gives a detailed introduction to Fortran 90 and to parallel programming, with all 350+ routines from the second edition of Numerical Recipes.