Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Time-interval statistics through a Laplace-transform method in quasi-elastic light-scattering experiments for low-intensity levels

Not Accessible

Your library or personal account may give you access

Abstract

A low-cost experimental method based on the measurement of the Laplace transform of the time-interval probability has been applied to a scattering experiment in which the spectrum of the scattered light is Lorentzian (monodisperse solution of spherical macromolecules) and the intensity of the detected light is low (less than 1 photon per coherence time). The linewidth of the spectrum and its corresponding experimental error have been obtained. A comparison with the conventional method of photon-correlation spectroscopy has been made for the same experimental conditions.

© 1988 Optical Society of America

Full Article  |  PDF Article
More Like This
Time-interval statistics applied to the analysis of low-polydispersity samples for low light-intensity levels

A. Madrazo, F. González, and F. Moreno
Appl. Opt. 33(21) 4899-4905 (1994)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (3)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.