Application of a Differential-CLEAN Algorithm in the Coded-Mask Imaging

Jia Zhenqing; Huo Zhuoxi; Zhou Jianfeng

Astronomical Research and Technology > 2013 > 10(1): 69-76.

Jia Zhenqing, Huo Zhuoxi, Zhou Jianfeng. Application of a Differential-CLEAN Algorithm in the Coded-Mask Imaging[J]. Astronomical Research and Technology, 2013, 10(1): 69-76.

Citation:

Jia Zhenqing, Huo Zhuoxi, Zhou Jianfeng. Application of a Differential-CLEAN Algorithm in the Coded-Mask Imaging[J]. Astronomical Research and Technology, 2013, 10(1): 69-76.

Citation:

Jia Zhenqing, Huo Zhuoxi, Zhou Jianfeng. Application of a Differential-CLEAN Algorithm in the Coded-Mask Imaging[J]. Astronomical Research and Technology, 2013, 10(1): 69-76.

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Application of a Differential-CLEAN Algorithm in the Coded-Mask Imaging

Jia Zhenqing^1,2,3,
Huo Zhuoxi^1,2,3,
Zhou Jianfeng^1,2,3

1.
Department of Engineering Physics and Center for Astrophysics, Tsinghua University, Beijing 100084, China
2.
Key Laboratory of Particle & Radiation Imaging(Tsinghua University), Ministry of Education, Beijing 100084, China
3.
High-Energy Radiation Imaging, Key Disciplines of National Defense Laboratories, Beijing 100084, China

More Information

Received Date: January 09, 2012
Revised Date: April 04, 2012
Published Date: January 14, 2013

Graphical Abstract

Abstract

Abstract

The Coded-Mask imaging method has application in astronomical imaging in hard X-ray and higher-energy bands. The cross-correlation algorithm for image reconstruction may produce ghost peaks. The CLEAN algorithm can effectively remove the ghost peaks, but still cannot avoid the error caused by the irregular data sampling or missing data points. We apply a Differential-CLEAN algorithm to reconstruct coded-mask images. This algorithm operates directly in the detector data space, and evaluates the observed data from models on each detector without data interpolation. It improves image quality by avoiding the deterioration caused by the known problems. Reconstruction results of simulated data, where ideal point-source data with the Poisson noise and artificial bad pixels are used, show that the Differential-CLEAN algorithm has better flux estimations with lower noise levels compared to the CLEAN algorithm. The IBIS, a coded-mask imager on-board the INTEGRAL satellite, has already had a considerable portion of detector units damaged. We also processed certain IBIS data with the Differential-CLEAN algorithm. Compared to the standard scientific data products produced by the INTEGRAL Offline Science Analysis (OSA) software package, which employs the CLEAN algorithm, the results of the Differential-Clean algorithm show lower noise levels.
- Coded-Mask Imaging,
- Differential-CLEAN,
- INTEGRAL

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References (20)

References

[1]	E Caroli, J B Stephen, G Di Cocco, et al. Coded aperture imaging in X- and gamma-ray astronomy[J]. Space Science Reviews, 1987, 45: 349-403.
[2]	Golay M J. Point arrays having compact, nonredundant autocorrelations[J]. Journal of the Optical Society of America, 1971, 61(2): 272-273.
[3]	E E Fenimore, T M Cannon. Coded aperture imaging with uniformly redundant arrays[J]. Applied Optics, 1978, 17(3): 337-347.
[4]	S R Gottesman, E J Schneid. PNP-A new class of coded aperture arrays[J]. IEEE Transsctions on Nuclear Science, 1986, 33(1): 745-749.
[5]	A R Gourlay, J B Stephen. Geometric coded aperture masks[J]. Applied Optics, 1983, 22(24): 4042-4047.
[6]	G K Skinner. Coded-mask imaging in gamma-ray astronomy[EB/OL].[2011-11-20]. http://arxiv.org/abs/astro-ph/0302354.
[7]	R J Proctor, G K Skinner, A P Willmore. The design of optimum coded mask X-ray telescopes[J]. Monthly Notices of the Royal Astronomical Society, 1979, 187: 633-643.
[8]	J A Högbom. Aperture synthesis with a non-regular distribution of interferometer baselines[J]. Astronomy and Astrophysics, 1974, 15(2): 417-426.
[9]	U J Schwarz. Mathematical-statistical description of the iterative beam removing t on. Ast. Ast A-RAY ASTRONOMY TALUCCI,echnique (method CLEAN)[J]. Astronomy and Astrophysics, 1978, 65(2): 345-356.
[10]	G A Wagenknecht. A contour tracing and coding algorithm for generating 2D contour codes from 3D classified objects[J]. Pattern Recognition, 2007, 40(4): 1294-1306.
[11]	G M Hunter. Operations on images using quad trees[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1979, 1(2): 145-153.
[12]	I Gargantini. An effective way to represent quadtrees[J]. Communications of the ACM, 1982, 25(12): 905-910.
[13]	U J Schwarz. Mathematical-statistical description of the iterative beam removing technique (Method CLEAN)[J]. Astronomy and Astrophysics, 1978, 65(2): 345-356.
[14]	G K Skinner, T J Ponman. On the properties of images from coded-mask telescopes[J]. Monthly Notices of the Royal Astronomical Society, 1994, 267: 518-522.
[15]	R C Puetter, T R Gosnell, Amos Yahil. Digital image reconstruction: deblurring and denoising[J]. Annual Review of Astronomy and Astrophysics, 2005, 43(1): 139-194.
[16]	A Goldwurm, P David, L Foschini, et al. The INTEGRAL/IBIS scientific data analysis[J]. Astronomy and Astrophysics, 2008, 58(1): 1-8.
[17]	INTEGRAL Science Data Centre. Introduction to the INTEGRAL Data Analysis[EB/OL].[2011-11-20]. http://www.isdc.unige.ch/integral/analysis.
[18]	E W Greisen, M R Calabretta. Representations of world coordinates in FITS[J]. Astronomy and Astrophysics, 2002, 395(3): 1061-1076.
[19]	M R Calabretta, E W Greisen. Representations of celestial coordinates in FITS[J]. Astronomy and Astrophysics, 2002, 395(3): 1077-1122.
[20]	崔辰州, 李文, 于策, 等. FITS数据文件的检索和访问[J]. 天文研究与技术——国家天文台台刊, 2008, 5(2): 116-123. Cui Chenzhou, Li Wen, Yu Ce, et al. Search and location of FITS data files[J]. Astronomical Research & Technology——Publications of National Astronomical Observatories of China, 2008, 5(2): 116-123.

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