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Multi-Scale CLEAN: A comparison of its performance against classical CLEAN in galaxies using THINGS

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TLDR
In this paper, a practical evaluation of the Multi-Scale CLEAN algorithm is presented, and the results of this comparison show that several of the well-known characteristics and issues of using classical CLEAN are significantly lessened (or eliminated completely) when using the multi-scaleCLEAN algorithm.
Abstract
A practical evaluation of the Multi-Scale CLEAN algorithm is presented. The data used in the comparisons are taken from The HI Nearby Galaxy Survey (THINGS). The implementation of Multi-Scale CLEAN in the CASA software package is used, although comparisons are made against the very similar Multi-Resolution CLEAN algorithm implemented in AIPS. Both are compared against the classical CLEAN algorithm (as implemented in AIPS). The results of this comparison show that several of the well-known characteristics and issues of using classical CLEAN are significantly lessened (or eliminated completely) when using the Multi-Scale CLEAN algorithm. Importantly, Multi-Scale CLEAN reduces significantly the effects of the clean `bowl' caused by missing short-spacings, and the `pedestal' of low-level un-cleaned flux (which affects flux scales and resolution). Multi-Scale CLEAN can clean down to the noise level without the divergence suffered by classical CLEAN. We discuss practical applications of the added contrast provided by Multi-Scale CLEAN using two selected astronomical examples: HI holes in the interstellar medium and anomalous gas structures outside the main galactic disk.

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Journal ArticleDOI

Things:the hi nearby galaxy survey

TL;DR: The HI Nearby Galaxy Survey (THINGS) as discussed by the authors is a high spectral (≤52kms −1 ) and spatial (∼ 6 ′′ ) resolution survey of HI emission in 34 nearby galaxies obtained using the NRAO Very Large Array (VLA).
Journal ArticleDOI

Little Things

TL;DR: The LITTLE THINGS (Local Irregulars That Trace Luminosity Extremes, The HI Nearby Galaxy Survey) survey as discussed by the authors is a multi-wavelength survey of 37 Dwarf Irregular and 4 Blue Compact Dwarf galaxies that is centered around HI-line data obtained with the National Radio Astronomy Observatory (NRAO) Very Large Array (VLA) for determining what drives star formation in dwarf galaxies.
Journal ArticleDOI

An optimized algorithm for multiscale wideband deconvolution of radio astronomical images

TL;DR: An improved multi-scale deconvolution algorithm that can also be used in multi-frequency mode, and a new scale-bias function for use inMulti-scale cleaning.
References
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Journal ArticleDOI

The HI Halo of NGC 891

TL;DR: In this article, neutral hydrogen observations of the nearby, edge-on spiral galaxy NGC 891 reveal the presence of an HI halo extending up to at least 5 kpc from the plane.
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A Statistical Investigation of HI in the Magellanic Bridge

TL;DR: In this paper, two statistical analyses applied to an neutral hydrogen (HI) dataset of the nearby tidal bridge in the Magellanic System were presented, showing that the northern and more obviously turbulent parts appear to show structure organized similarly to the adjacent Small Magellan Cloud (SMC), while the northern regions are relatively deficient in large scale power.
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The cold gaseous halo of NGC 891

TL;DR: In this article, the edge-on galaxy NGC 891 was observed to have a huge gaseous halo, much more extended than seen previously and containing almost 30 % of the HI.
Journal ArticleDOI

Scale sensitive deconvolution of interferometric images I. Adaptive Scale Pixel (Asp) decomposition

TL;DR: In this article, a scale sensitive deconvolution algorithm for radio interferometric images is presented, which models the image as a collection of Adaptive Scale Pixels (Asp).
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