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

Digital extraction of the magnetic-flux distribution from an electron interferogram

Not Accessible

Your library or personal account may give you access

Abstract

A phase-fitting method is proposed for correctly extracting the magnetic-flux distribution from a low-quality electron interferogram. The method is based on the use of the property ∇ × B = 0, which static magneticflux density B in vacuum must satisfy. It is derived from the property that the electron-wave phase distribution caused by magnetic fields satisfies the harmonic condition ∇2ϕ(x, y) = 0 but most of phase errors do not. A series of harmonic polynomial expressions is given and is used to fit the noisy phase data. The performance of the proposed method is shown by practical experiments.

© 1991 Optical Society of America

Full Article  |  PDF Article
More Like This
Generalized phase-shifting interferometry

Guanming Lai and Toyohiko Yatagai
J. Opt. Soc. Am. A 8(5) 822-827 (1991)

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 (11)

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 (25)

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.