Computational Nuclear Engineering and Radiological Science Using Python Book

Computational Nuclear Engineering and Radiological Science Using Python

  • Author : Ryan McClarren
  • Publisher : Academic Press
  • Release Date : 2017-10-27
  • Genre: Technology & Engineering
  • Pages : 460
  • ISBN 10 : 9780128123713

Computational Nuclear Engineering and Radiological Science Using Python Excerpt :

Computational Nuclear Engineering and Radiological Science Using Python provides the necessary knowledge users need to embed more modern computing techniques into current practices, while also helping practitioners replace Fortran-based implementations with higher level languages. The book is especially unique in the market with its implementation of Python into nuclear engineering methods, seeking to do so by first teaching the basics of Python, then going through different techniques to solve systems of equations, and finally applying that knowledge to solve problems specific to nuclear engineering. Along with examples of code and end-of-chapter problems, the book is an asset to novice programmers in nuclear engineering and radiological sciences, teaching them how to analyze complex systems using modern computational techniques. For decades, the paradigm in engineering education, in particular, nuclear engineering, has been to teach Fortran along with numerical methods for solving engineering problems. This has been slowly changing as new codes have been written utilizing modern languages, such as Python, thus resulting in a greater need for the development of more modern computational skills and techniques in nuclear engineering. Offers numerical methods as a tool to solve specific problems in nuclear engineering Provides examples on how to simulate different problems and produce graphs using Python Supplies accompanying codes and data on a companion website, along with solutions to end-of-chapter problems

Uncertainty Quantification and Predictive Computational Science Book

Uncertainty Quantification and Predictive Computational Science

  • Author : Ryan G. McClarren
  • Publisher : Springer
  • Release Date : 2018-11-23
  • Genre: Science
  • Pages : 345
  • ISBN 10 : 9783319995250

Uncertainty Quantification and Predictive Computational Science Excerpt :

This textbook teaches the essential background and skills for understanding and quantifying uncertainties in a computational simulation, and for predicting the behavior of a system under those uncertainties. It addresses a critical knowledge gap in the widespread adoption of simulation in high-consequence decision-making throughout the engineering and physical sciences. Constructing sophisticated techniques for prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling, and Bayesian statistics. Part II focuses on applying Local Sensitivity Analysis to apportion uncertainty in the model outputs to sources of uncertainty in its inputs. Part III demonstrates techniques for quantifying the impact of parametric uncertainties on a problem, specifically how input uncertainties affect outputs. The final section covers techniques for applying uncertainty quantification to make predictions under uncertainty, including treatment of epistemic uncertainties. It presents the theory and practice of predicting the behavior of a system based on the aggregation of data from simulation, theory, and experiment. The text focuses on simulations based on the solution of systems of partial differential equations and includes in-depth coverage of Monte Carlo methods, basic design of computer experiments, as well as regularized statistical techniques. Code references, in python, appear throughout the text and online as executable code, enabling readers to perform the analysis under discussion. Worked examples from realistic, model problems help readers understand the mechanics of applying the methods. Each chapter ends with several assignable problems. Uncertainty Quantification and Predictive Computational Science fills the growing need for a classroom text for senior undergraduate and early-career graduate students in the engineering and physical sciences and supports independent study by researchers

Machine Learning for Engineers Book

Machine Learning for Engineers

  • Author : Ryan G. McClarren
  • Publisher : Springer Nature
  • Release Date : 2021-09-21
  • Genre: Technology & Engineering
  • Pages : 247
  • ISBN 10 : 9783030703882

Machine Learning for Engineers Excerpt :

All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.

Introduction to Computation and Programming Using Python  second edition Book
Score: 5
From 2 Ratings

Introduction to Computation and Programming Using Python second edition

  • Author : John V. Guttag
  • Publisher : MIT Press
  • Release Date : 2016-08-12
  • Genre: Computers
  • Pages : 466
  • ISBN 10 : 9780262529624

Introduction to Computation and Programming Using Python second edition Excerpt :

The new edition of an introductory text that teaches students the art of computational problem solving, covering topics ranging from simple algorithms to information visualization. This book introduces students with little or no prior programming experience to the art of computational problem solving using Python and various Python libraries, including PyLab. It provides students with skills that will enable them to make productive use of computational techniques, including some of the tools and techniques of data science for using computation to model and interpret data. The book is based on an MIT course (which became the most popular course offered through MIT's OpenCourseWare) and was developed for use not only in a conventional classroom but in in a massive open online course (MOOC). This new edition has been updated for Python 3, reorganized to make it easier to use for courses that cover only a subset of the material, and offers additional material including five new chapters. Students are introduced to Python and the basics of programming in the context of such computational concepts and techniques as exhaustive enumeration, bisection search, and efficient approximation algorithms. Although it covers such traditional topics as computational complexity and simple algorithms, the book focuses on a wide range of topics not found in most introductory texts, including information visualization, simulations to model randomness, computational techniques to understand data, and statistical techniques that inform (and misinform) as well as two related but relatively advanced topics: optimization problems and dynamic programming. This edition offers expanded material on statistics and machine learning and new chapters on Frequentist and Bayesian statistics.

Radiation Detectors for Medical Imaging Book

Radiation Detectors for Medical Imaging

  • Author : Jan S. Iwanczyk
  • Publisher : CRC Press
  • Release Date : 2015-12-01
  • Genre: Technology & Engineering
  • Pages : 335
  • ISBN 10 : 9781498766821

Radiation Detectors for Medical Imaging Excerpt :

Radiation Detectors for Medical Imaging discusses the current state of the art and future prospects of photon-counting detectors for medical imaging applications. Featuring contributions from leading experts and pioneers in their respective fields, this book: Describes x-ray spectral imaging detectors based on cadmium zinc telluride (CdZnTe) and cadmium telluride (CdTe) materials Presents novel computed tomography (CT) and x-ray clinical applications of photon-counting detectors Considers the future use of CT scanners as both an anatomical and a functional modality in areas typically reserved for nuclear medicine techniques Addresses pulse pileup, incomplete charge collection, and other phenomena that can degrade the spectral response of photon-counting detectors Examines silicon photomultipliers used in single-photon emission computed tomography (SPECT) and positron emission tomography (PET) systems Radiation Detectors for Medical Imaging explores cutting-edge technologies that play a vital role in the detection, diagnosis, and treatment of major human diseases, including heart disease and cancer—the top killers in developed countries.

Effective Computation in Physics Book

Effective Computation in Physics

  • Author : Anthony Scopatz
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2015-06-25
  • Genre: Science
  • Pages : 552
  • ISBN 10 : 9781491901588

Effective Computation in Physics Excerpt :

More physicists today are taking on the role of software developer as part of their research, but software development isn’t always easy or obvious, even for physicists. This practical book teaches essential software development skills to help you automate and accomplish nearly any aspect of research in a physics-based field. Written by two PhDs in nuclear engineering, this book includes practical examples drawn from a working knowledge of physics concepts. You’ll learn how to use the Python programming language to perform everything from collecting and analyzing data to building software and publishing your results. In four parts, this book includes: Getting Started: Jump into Python, the command line, data containers, functions, flow control and logic, and classes and objects Getting It Done: Learn about regular expressions, analysis and visualization, NumPy, storing data in files and HDF5, important data structures in physics, computing in parallel, and deploying software Getting It Right: Build pipelines and software, learn to use local and remote version control, and debug and test your code Getting It Out There: Document your code, process and publish your findings, and collaborate efficiently; dive into software licenses, ownership, and copyright procedures

Python Programming and Numerical Methods Book

Python Programming and Numerical Methods

  • Author : Qingkai Kong
  • Publisher : Academic Press
  • Release Date : 2020-11-27
  • Genre: Technology & Engineering
  • Pages : 480
  • ISBN 10 : 9780128195505

Python Programming and Numerical Methods Excerpt :

Python Programming and Numerical Methods: A Guide for Engineers and Scientists introduces programming tools and numerical methods to engineering and science students, with the goal of helping the students to develop good computational problem-solving techniques through the use of numerical methods and the Python programming language. Part One introduces fundamental programming concepts, using simple examples to put new concepts quickly into practice. Part Two covers the fundamentals of algorithms and numerical analysis at a level that allows students to quickly apply results in practical settings. Includes tips, warnings and "try this" features within each chapter to help the reader develop good programming practice Summaries at the end of each chapter allow for quick access to important information Includes code in Jupyter notebook format that can be directly run online

Monte Carlo Methods for Particle Transport Book

Monte Carlo Methods for Particle Transport

  • Author : Alireza Haghighat
  • Publisher : CRC Press
  • Release Date : 2020-08-10
  • Genre: Mathematics
  • Pages : 290
  • ISBN 10 : 9780429582202

Monte Carlo Methods for Particle Transport Excerpt :

Fully updated with the latest developments in the eigenvalue Monte Carlo calculations and automatic variance reduction techniques and containing an entirely new chapter on fission matrix and alternative hybrid techniques. This second edition explores the uses of the Monte Carlo method for real-world applications, explaining its concepts and limitations. Featuring illustrative examples, mathematical derivations, computer algorithms, and homework problems, it is an ideal textbook and practical guide for nuclear engineers and scientists looking into the applications of the Monte Carlo method, in addition to students in physics and engineering, and those engaged in the advancement of the Monte Carlo methods. Describes general and particle-transport-specific automated variance reduction techniques Presents Monte Carlo particle transport eigenvalue issues and methodologies to address these issues Presents detailed derivation of existing and advanced formulations and algorithms with real-world examples from the author’s research activities

New Scientist Book

New Scientist

  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1997
  • Genre: Science
  • Pages : null
  • ISBN 10 : UCSD:31822022726129

New Scientist Excerpt :

Radiation and You Book

Radiation and You

  • Author : Ryan McClarren
  • Publisher : Unknown
  • Release Date : 2016-04-19
  • Genre: Uncategoriezed
  • Pages : 26
  • ISBN 10 : 0692741542

Radiation and You Excerpt :

Radiation is all around us: in the rocks under the ground, naturally in food, and raining down from outer space. Most of this radiation is natural, and some of it we use to make our lives better. This book teaches elementary age students the basics of the atom and radioactivity and shows where radiation can be found and how it can be used to improve our lives. A glossary gives definitions of key terms in the radiation and nuclear sciences. This book will teach children that: - Atoms are the building blocks of nature. - Radiation comes to us from natural and artificial sources. - Medicine and dentistry use radiation. - Too much radiation can be dangerous. - Radiation is used to give us energy, learn about dinosaurs, and understand how people lived thousands of years ago.

Proceedings of the International e Conference on Intelligent Systems and Signal Processing Book

Proceedings of the International e Conference on Intelligent Systems and Signal Processing

  • Author : Falgun Thakkar
  • Publisher : Springer Nature
  • Release Date : 2021-08-13
  • Genre: Technology & Engineering
  • Pages : 799
  • ISBN 10 : 9789811621239

Proceedings of the International e Conference on Intelligent Systems and Signal Processing Excerpt :

This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.

Artificial Intelligence in Medical Imaging Book

Artificial Intelligence in Medical Imaging

  • Author : Erik R. Ranschaert
  • Publisher : Springer
  • Release Date : 2019-01-29
  • Genre: Medical
  • Pages : 373
  • ISBN 10 : 9783319948782

Artificial Intelligence in Medical Imaging Excerpt :

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Nuclear Reactor Experiments Book

Nuclear Reactor Experiments

  • Author : Argonne National Laboratory
  • Publisher : Unknown
  • Release Date : 1958
  • Genre: Nuclear engineering
  • Pages : 480
  • ISBN 10 : UOM:39015003442699

Nuclear Reactor Experiments Excerpt :