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Proceedings Paper

Spectrograph for photometric imaging with numeric reconstruction (SPINR) simulations
Author(s): Andrew W. Stephan; Yan Betremieux; Timothy A. Cook; Daniel M. Cotton; Supriya Chakrabarti
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Paper Abstract

Our spectrograph for photometric imaging with numeric reconstruction uses a novel technique to produce 2D spectral images using a 1D imaging spectrometer. By varying the dispersion direction with respect to the center of the field-of-view, we produce a series of images with the intensity of each pixel equal to the integrated intensity of the field-of-view along the dispersion direction. Reconstruction of the 2D spectral image from this series of profiles can be accomplished with a variety of numerical methods. We present results obtained using the maximum entropy algorithm on lab tests, which include expected instrument noise, and compare this method to analytical backprojection methods. Finally, in each of these tests, we present improvements in speed over previous results through code optimization, which improves the viability of using the maximum entropy algorithm for spectroscopic imaging.

Paper Details

Date Published: 12 June 1995
PDF: 8 pages
Proc. SPIE 2480, Imaging Spectrometry, (12 June 1995); doi: 10.1117/12.210906
Show Author Affiliations
Andrew W. Stephan, Boston Univ. (United States)
Yan Betremieux, Boston Univ. (United States)
Timothy A. Cook, Boston Univ. (United States)
Daniel M. Cotton, Boston Univ. (United States)
Supriya Chakrabarti, Boston Univ. (United States)

Published in SPIE Proceedings Vol. 2480:
Imaging Spectrometry
Michael R. Descour; Jonathan Martin Mooney; David L. Perry; Luanna R. Illing, Editor(s)

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