Spectrograph for photometric imaging with numeric reconstruction (SPINR) simulations

Andrew W. Stephan; Yan Betremieux; Timothy A. Cook; Daniel M. Cotton; Supriya Chakrabarti

doi:10.1117/12.210906

12 June 1995 Spectrograph for photometric imaging with numeric reconstruction (SPINR) simulations

Andrew W. Stephan, Yan Betremieux, Timothy A. Cook, Daniel M. Cotton, Supriya Chakrabarti

Author Affiliations +

Proceedings Volume 2480, Imaging Spectrometry; (1995) https://doi.org/10.1117/12.210906
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Andrew W. Stephan, Yan Betremieux, Timothy A. Cook, Daniel M. Cotton, and Supriya Chakrabarti "Spectrograph for photometric imaging with numeric reconstruction (SPINR) simulations", Proc. SPIE 2480, Imaging Spectrometry, (12 June 1995); https://doi.org/10.1117/12.210906

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