Boundary Detection in Three Dimensions With Application to the SMILE mission
Abstract
Imaging magnetospheric satellite missions provide information which is complementary to in-situ observations. Imaging is often able to elucidate large-scale structures which can only be gleaned from in-situ measurements, even multi-point in-situ measurements. But imaging also presents some challenges. By its nature the image is a 2-dimentional projection of a 3-dimensional structure. When three dimensional structures need to be extracted it is necessary to either make suitable assumptions, or to record a large enough number of images from different viewing geomtries to allow a three-dimensional reconstruction. Imaging data exist over a wide range of sources including visible light, ultraviolet lights, extreme ultraviolet, energetic neutral atoms, X-rays, among others. Each inform different phsyical mechanisms. Even auroral images are two-dimensional projection of inherently three-dimensional emissions. In this paper we consider the extraction of three-dimensional boundaries from images. Specifically we will consider extracting the geometry of the magnetopause and the bow shock from single X-ray images expected from the Solar Wind Magnetosphere Ionosphere Link Explorer (SMILE) mission. We examine the effect of photon-counting noise in determining the boundary geometries. We also consider the effect of different viewing geometries. We find that the approach we used is is relatively robust to viewing geometry effects and works at low count rates.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2017
- Bibcode:
- 2017AGUFMSM13A2346J
- Keywords:
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- 2723 Magnetic reconnection;
- MAGNETOSPHERIC PHYSICS;
- 2740 Magnetospheric configuration and dynamics;
- MAGNETOSPHERIC PHYSICS;
- 2756 Planetary magnetospheres;
- MAGNETOSPHERIC PHYSICS;
- 2794 Instruments and techniques;
- MAGNETOSPHERIC PHYSICS