Publisher Description

Mathematica in the Laboratory is a hands-on guide that demonstrates how to acquire and analyze experimental data with Mathematica. It explains how Mathematica can be used to visualize and analyze newly-taken or historical data, compare theory with experiment, and control data acquisition equipment. It provides practical examples that can be taken directly or adapted to suit a particular application. The book lucidly explains how Mathematica can provide a truly unified data-handling environment and will be of value to anyone who collects and analyzes experimental data, including astronomers, biologists, chemists, mathematicians, geologists, physicists, and engineers.

Table of Contents

1. Importing data from files; 2. Visualizing data; 3. Data analysis; 4. Generating test data; 5. Exporting data; 6. Introduction to instrument control and data acquisition; 7. Understanding MathLink; 8. Interfacing I: a simple serial link; 9. Interfacing II: more advanced links; 10. Interface hardware design; Appendix.

Review

'The present book is a welcome addition to the rather small class covering how to do things in general with the package. It is the first I have encountered that deals in detail with connecting Mathematica to the outside world of other computers and controllable equipment … I recommend this book to all Mathematica fans, and also to anyone not yet addicted who has an instrument-control problem to solve.' Charles Jenkins, The Observatory

Promotional

How to use Mathematica to control laboratory experiments and analyse data.

Promotional "Headline"

How to use Mathematica to control laboratory experiments and analyse data.

Description for Bookstore

A hands-on guide which shows how to harness the power and flexibility of Mathematica in the control of data-acquisition equipment and the analysis of experimental data. Many practical examples are given, which can either be used directly or adapted to suit particular applications. Fully compatible with Mathematica 3.0.

Description for Library

A hands-on guide which shows how to harness the power and flexibility of Mathematica in the control of data-acquisition equipment and the analysis of experimental data. Many practical examples are given, which can either be used directly or adapted to suit particular applications. Fully compatible with Mathematica 3.0.

Details