BATSE Soft Gamma Rays Tomographic Sky Imaging with Radon Transforms

Details BATSE Soft Gamma Rays Tomographic Sky Imaging with Radon Transforms BATSE Soft Gamma Rays Tomographic Sky Imaging with Radon Transforms

May 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21440712l&link_type=abstract

American Astronomical Society, AAS Meeting #214, #407.12; Bulletin of the American Astronomical Society, Vol. 41, p.671

Astronomy and Astrophysics

Astronomy

Scientific paper

We present preliminary results of tomographic imaging of the 20 keV to 1800 keV gamma-ray sky using Radon Transforms and data from the BATSE experiment on the Compton Gamma Ray Observatory. The method uses Earth occultation, with the 0.2 degree angular response characteristic of the atmospheric limb, together with the all-sky coverage of the BATSE instrument to produce 2-dimensional maps of the sky from the count data from the eight BATSE detectors. We have initially used the Linear Radon Transform (LRT), though this limits us to imaging small ( 4x4o) regions of the sky where the earth limb can be approximated as a straight line. As the orbit of the spacecraft precesses over a 51-day period, the earth limb sweeps across the sky at different orientations, though never sampling the full 180o range of angles. The large and complex variation of the background counting rate common to all high-energy instruments in low-earth orbit is subtracted from the raw data prior to the imaging steps using our earlier work in modeling the background variability (Ling et al. 2000).
Summing the 16 BATSE LAD energy channels into four broad bands (23-98 keV, 98-230 keV, 230-595 keV, and 595-1798 keV), we are able to detect and position the Crab Nebula and the nearby transient GRO J0422+32 using only a single 51 day precession cycle, with source location accuracy of the order of 1o in each band. We confirm earlier work by Zhang et al (1993) for applying the LRT technique to the BATSE data, extend their work to cover more source regions, and produce images at higher energies. We also discuss the extension of our method to Generalized Radon Transforms, e.g. the Spherical Cap Radon Transform, which would allow us to image larger regions of the sky.

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