The physics of noise / Edoardo Milotti.

Format:

Book

Author/Creator:

Milotti, Edoardo, author.

Contributor:

Institute of Physics (Great Britain), publisher.

Series:

IOP (Series). Release 6.

IOP concise physics 2053-2571.

[IOP release 6]

IOP concise physics, 2053-2571

Language:

English

Subjects (All):

Noise.

Physical Description:

1 online resource (various pagings) : illustrations (some color).

Place of Publication:

Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2019]

System Details:

Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.

text file

Biography/History:

Edoardo Milotti is Professor of Physics at the University of Trieste, Italy. After working mostly in experimental particle physics, he has also authored papers on noise processes in physics, and on the physics of cancer. His longtime research interests are in the direction of the analysis of experimental data and in the modeling of complex phenomena. He has published over 200 scientific papers in peer-reviewed scientific journals. He lives in Trieste, Italy, with his wife Alessandra.

Summary:

For a physicist, "noise" is not just about sounds, but refers to any random physical process that blurs measurements, and in so doing stands in the way of scientific knowledge. This book deals with the most common types of noise, their properties, and some of their unexpected virtues. The text explains the most useful mathematical concepts related to noise. Finally, the book aims at making this subject more widely known and to stimulate the interest for its study in young physicists.

Contents:

1. Cosmic noise

1.1. Radio waves from the sky

1.2. The noise of the cosmos

2. What is noise?

2.1. Deterministic and random signals

2.2. Statistical properties of noise

2.3. A broad classification of common types of noise

2.4. A few comments on the physicist's noise and the mathematician's noise

3. Mathematical models of noise

3.1. Fourier transforms

3.2. Energy carried by a signal

3.3. The power spectrum

3.4. The autocorrelation function and the Wiener-Kintchine theorem

3.5. The power spectrum of noise processes

3.6. Brownian motion

3.7. Thermal noise

3.8. Shot noise

3.9. 1/f noise

3.10. The pitfalls of power spectra

4. The science of Johnson noise

4.1. The Boltzmann constant

4.2. Noise temperature of a radio telescope

5. Final remarks

6. Further reading.

Notes:

"Version: 20191001"--Title page verso.

Includes bibliographical references.

Title from PDF title page (viewed on November 18, 2019).

Other Format:

Print version:

ISBN:

9781643277684

9781643277660

OCLC:

1128001602

Access Restriction:

Restricted for use by site license.