Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager

Details Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager

2010-03-26

arxiv.org/abs/1003.5223v2

Astronomy and Astrophysics

Astrophysics

Instrumentation and Methods for Astrophysics

Scientific paper

A Rotating Modulator (RM) is one of a class of techniques for indirect imaging of an object scene by modulation and detection of incident photons. Comparison of the RM to more common imaging techniques, the Rotating Modulation Collimator and the coded aperture, reveals trade-offs in instrument weight and complexity, sensitivity, angular resolution, and image fidelity. In the case of a high-energy (hundreds of keV to MeV), wide field-of-view, satellite or balloon-borne astrophysical survey mission, the RM is shown to be an attractive option when coupled with a reconstruction algorithm that can simultaneously achieve super-resolution and suppress fluctuations arising from statistical noise. We describe the Noise-Compensating Algebraic Reconstruction (NCAR) algorithm, which is shown to perform better than traditional deconvolution techniques for most object scene distributions. Results from Monte Carlo simulations demonstrate that NCAR achieves super-resolution, can resolve multiple point sources and complex distributions, and manifests noise as fuzzy sidelobes about the true source location, rather than spurious peaks elsewhere in the image as seen with other techniques.

Affiliated with

Also associated with

No associations

Rating

Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager 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 Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Noise-Compensating Algebraic Reconstruction for a Rotating Modulation Gamma-Ray Imager will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-275177