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dc.contributor.authorCourrier, Hans T.
dc.contributor.authorKankelborg, Charles
dc.identifier.citationCourrier, Hans T., and Charles C. Kankelborg. “Using Local Correlation Tracking to Solar Spectral Information from a Slitless Spectrograph.” Edited by Lorenzo Bruzzone. Proceedings of the SPIE 9643, Image and Signal Processing for Remote Sensing XXI (October 15, 2015). doi:10.1117/12.2194607.en_US
dc.description.abstractThe Multi-Order Solar EUV Spectrograph (MOSES) is a sounding rocket instrument that utilizes a concave spherical diffraction grating to form simultaneous solar images in the diffraction orders m = 0, +1, and −1. The large 2D field of view allows a single exposure to capture spatial and spectral information for large, complex solar features in their entirety. Most of the solar emission within the instrument passband comes from a single bright emission line. The m = 0 image is simply an intensity as a function of position, integrated over the passband of the instrument. Dispersion in the images at m = ±1 leads to a field-dependent displacement that is proportional to Doppler shift. Our goal is to estimate the Doppler shift as a function of position for every exposure. However, the interpretation of the data is not straightforward. Imaging an extended object such as the Sun without an entrance slit results in the overlapping of spectral and spatial information in the two dispersed images. We demonstrate the use of local correlation tracking as a means to quantify the differences between the m = 0 image and either one of the dispersed images. The result is a vector displacement field that may be interpreted as a measurement of the Doppler shift. Since two dispersed images are available, we can generate two independent Doppler maps from the same exposure. We compare these to produce an error estimate.en_US
dc.titleUsing local correlation tracking to recover solar spectral information from a slitless spectrographen_US
dc.title.alternativeUsing local correlation tracking to solar spectral information from a slitless spectrographen_US
mus.citation.conferenceConference Volume 9643; Image and Signal Processing for Remote Sensing XXI; Lorenzo Bruzzone; Toulouse, France; September 21, 2015en_US
mus.citation.journaltitleProceedings of the SPIE 9643, Image and Signal Processing for Remote Sensing XXIen_US
mus.identifier.categoryPhysics & Mathematicsen_US
mus.relation.collegeCollege of Letters & Scienceen_US
mus.relation.universityMontana State University - Bozemanen_US

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