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

Physical properties of the solar corona and the role of x-ray optics

Open Access Open Access

Abstract

Solar coronal magnetized plasmas exhibiting evidence of telescopic fine structure, as first observed by the Skylab ATM soft x-ray grazing incidence telescopes (~5") and the XUV slitless spectroheliographs (≥ 2"), resulted in a profound change in how theoreticians view the solar corona. To better unravel the physical implications of the Skylab data, it became obvious that not only was higher spatial resolution required but also higher temporal resolution. In addition, because the solar corona is causally coupled to the lower solar atmosphere, i.e., the photosphere, both electrodynamically and mechanically, monochromatic or at least narrowband images were required to map structure exhibited at one temperature to structure exhibited at other temperatures. These three requirements made it clear that Skylab type instruments could not obtain the desired data at reasonable cost. However, with the development of inexpensive normal incidence soft x-ray optics, sounding rocket experiments utilizing this new technology have demonstrated that normal incidence soft x-ray optics meet all the requirements noted above.

© 1991 Optical Society of America

PDF Article
More Like This
Soft X-Ray Images of the Solar Corona With a Normal-Incidence Cassegrain Multilayer Telescope

A.B.C. Walker, T.W. Barbee, R.B. Hoover, and J. F. Lindblom
WB3 Space Optics for Astrophysics and Earth and Planetary Remote Sensing (SO) 1988

The Physics of X-Ray Multilayer Structures

David L. Windt, R. Hull, and W. K. Waskiewicz
WC1 Soft X-Ray Projection Lithography (SXRAY) 1991

The Physics of X-Ray Multilayer Structures

David L. Windt, R. Hull, and W. K. Waskiewicz
WC1 Short Wavelength Coherent Radiation: Generation and Applications (HFSW) 1991

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.