Data Analysis Techniques for High-Energy Physics
Now thoroughly revised and up-dated, this volume describes techniques for handling and analyzing data obtained from high-energy and nuclear physics experiments. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a large background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects such as particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods useful for the physical interpretation and presentation of results.
1138383817
Data Analysis Techniques for High-Energy Physics
Now thoroughly revised and up-dated, this volume describes techniques for handling and analyzing data obtained from high-energy and nuclear physics experiments. Beginning with a chapter on real-time data triggering and filtering, the book describes methods of selecting the relevant events from a large background. The use of pattern recognition techniques to group the huge number of measurements into physically meaningful objects such as particle tracks or showers is then examined and the track and vertex fitting methods necessary to extract the maximum amount of information from the available measurements are explained. The final chapter describes tools and methods useful for the physical interpretation and presentation of results.
116.0
In Stock
5
1
Data Analysis Techniques for High-Energy Physics
412
Data Analysis Techniques for High-Energy Physics
412Paperback(REV)
$116.00
116.0
In Stock
Product Details
| ISBN-13: | 9780521635486 |
|---|---|
| Publisher: | Cambridge University Press |
| Publication date: | 08/17/2000 |
| Series: | Cambridge Monographs on Particle Physics, Nuclear Physics and Cosmology , #11 |
| Edition description: | REV |
| Pages: | 412 |
| Product dimensions: | 6.97(w) x 9.76(h) x 1.06(d) |
From the B&N Reads Blog