Abstract
The effect of iteratively deconvolving Imaging Atmospheric Cherenkov Telescope (IACT) images is investigated here with the aim of exploiting the full resolution of an IACT photomultipher tube camera. The Richardson-Lucy method of de-blurring images was chosen for the study as it functions effectively in the presence of noise. After the Richardson-Lucy algorithm was integrated into the analysis software, the procedure was tested using Crab Nebula data collected with the Whipple 10m IACT. Using the measured Point Spread Function (PSF) of the instrument with the Richardson-Lucy subroutine, Cherenkov images were iteratively deconvolved. Following this, a full re-optimisation of picture and boundary thresholds and image selection parameters was carried out in an attempt to enhance the detected signal. The improvement in signal using this method was not statistically significant.
Original language | English (Ireland) |
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Title of host publication | Point spread function deconvolution of an Atmospheric Cherenkov Telescope |
Number of pages | 4 |
Publication status | Published - 1 May 2005 |
Authors (Note for portal: view the doc link for the full list of authors)
- Authors
- Kenny, GE,Gillanders, GH,Lang, MJ,