A Parametric Inversion Technique for MOSES Data

Details A Parametric Inversion Technique for MOSES Data A Parametric Inversion Technique for MOSES Data

May 2002

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aas...200.5508f&link_type=abstract

American Astronomical Society, 200th AAS Meeting, #55.08; Bulletin of the American Astronomical Society, Vol. 34, p.733

Computer Science

Performance

1

Scientific paper

MOSES (the Multi-Order Slitless EUV Spectrograph) will be capable of simultaneous 2-D imaging and spectroscopy of the solar transition region at high spatial and temporal resolution. The MOSES data are a convolution of spatial and spectral variables. To obtain an image cube, in coordinates (x,y,λ ), one must solve an ill-posed inverse problem. We describe and implement an approach which parameterizes the image cube in terms of spectral line moments. We use the inversion code to recover test data obtained from SERTS 95 which has been processed through a forward model of the MOSES instrument response, and evaluate the performance of this parametric inversion technique. This work is funded by NASA Grant NAG5-10997.

Affiliated with

Also associated with

No associations

Rating

A Parametric Inversion Technique for MOSES Data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A Parametric Inversion Technique for MOSES Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Parametric Inversion Technique for MOSES Data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1719146