Bayesian Multiscale Deconvolution Applied to Gamma-ray Spectroscopy
A common task in gamma-ray astronomy is to extract spectral information, such as model constraints and incident photon spectrum estimates, given the measured energy deposited in a detector and the detector response. This is the classic problem of spectral “deconvolution” or spectral inversion . The methods of forward folding (i.e. parameter fitting) and maximum entropy “deconvolution” (i.e. estimating independent input photon rates for each individual energy bin) have been used successfully for gamma-ray solar flares (e.g. ). Nowak and Kolaczyk  have developed a fast, robust, technique using a Bayesian multiscale frame-work that addresses many problems with added algorithmic advantages. We briefly mention this new approach and demonstrate its use with time resolved solar flare gamma-ray spectroscopy.
Space Science Center, Physics
Third Statistical Challenges in Modern Astronomy Conference
Digital Object Identifier (DOI)
C. A. Young, A. Connors, E. Kolaczyk, M. L. McConnell, G. Rank, J. M. Ryan, and V. Schönfelder. "Bayesian Multiscale Deconvolution Applied to Gamma-ray Spectroscopy." Feigelson, E. D., & Babu, G. J. (2003). Statistical challenges in astronomy. New York: Springer. pp 503-504. Print.
Springer-Verlag New York, Inc.