2006MNRAS.368...65E

Query : 2006MNRAS.368...65E

2006MNRAS.368...65E - Mon. Not. R. Astron. Soc., 368, 65-73 (2006/May-1)

ASMOOTH: a simple and efficient algorithm for adaptive kernel smoothing of two-dimensional imaging data.

EBELING H., WHITE D.A. and RANGARAJAN F.V.N.

Abstract (from CDS):

An efficient algorithm for adaptive kernel smoothing (AKS) of two-dimensional imaging data has been developed and implemented using the Interactive Data Language (idl). The functional form of the kernel can be varied (top-hat, Gaussian, etc.) to allow different weighting of the event counts registered within the smoothing region. For each individual pixel, the algorithm increases the smoothing scale until the signal-to-noise ratio (S/N) within the kernel reaches a pre-set value. Thus, noise is suppressed very efficiently, while at the same time real structure, that is, signal that is locally significant at the selected S/N level, is preserved on all scales. In particular, extended features in noise-dominated regions are visually enhanced. The asmooth algorithm differs from other AKS routines in that it allows a quantitative assessment of the goodness of the local signal estimation by producing adaptively smoothed images in which all pixel values share the same S/N above the background.

We apply asmooth to both real observational data (an X-ray image of clusters of galaxies obtained with the Chandra X-ray Observatory) and to a simulated data set. We find the asmoothed images to be fair representations of the input data in the sense that the residuals are consistent with pure noise, that is, they possess Poissonian variance and a near-Gaussian distribution around a mean of zero, and are spatially uncorrelated.

Journal keyword(s): methods: data analysis - methods: statistical - techniques: image processing

Simbad objects: 1

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Number of rows : 1

N	Identifier	Otype	ICRS (J2000) RA	ICRS (J2000) DEC	Mag U	Mag B	Mag V	Mag R	Mag I	Sp type	#ref 1850 - 2026	#notes
1	ClG 1054-03	ClG	10 57 00.2	-03 37 27			22			~	458	0

Query : 2006MNRAS.368...65E

Basic data :

ClG 1054-03 -- Cluster of Galaxies

ClG (2022MNRAS,ClG,...), gLe (2001ApJ), C?G (BLOX,XCLASS), X (1E,2E)

10 57 00.2 -03 37 27 [ ] E 2001ApJ...554L.129M

10 54 27.6 -03 21 24 [ ]

256.5761 +48.6722 [ ]

V(km/s) 161806 [2398] / z(spectroscopic) 0.829 [0.008] / cz 248528 [2398] (Opt) D 1998ApJ...502..550D

5.000000000 5.000000000 0 (Xray) E 2021A&A...652A..12K

V 22 [~] E ~

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`ClG 1054-03`	`ClG 1054-0321`	`1E 1054.4-0321`	`XCLASS 413`
`ACT-CL J1056.9-0337`	`ClG J1056-0337`	`2E 2360`
`BAX 164.2509-03.6243`	`ClG 1054.4-0321`	`2E 1054.4-0321`
`BLOX J1056.9-0337.3`	`1E 1054.5-0321`	`MCXC J1056.9-0337`

References (458 between 1850 and 2026) (Total 458)
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