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dc.contributor.authorMairs, S
dc.contributor.authorJohnstone, D
dc.contributor.authorKirk, H
dc.contributor.authorGraves, S
dc.contributor.authorBuckle, J
dc.contributor.authorBeaulieu, SF
dc.contributor.authorBerry, DS
dc.contributor.authorBroekhoven-Fiene, H
dc.contributor.authorCurrie, MJ
dc.contributor.authorFich, M
dc.contributor.authorHatchell, Jennifer
dc.contributor.authorJenness, T
dc.contributor.authorMottram, JC
dc.contributor.authorNutter, D
dc.contributor.authorPattle, K
dc.contributor.authorPineda, JE
dc.contributor.authorSalji, C
dc.contributor.authorFrancesco, JD
dc.contributor.authorHogerheijde, MR
dc.contributor.authorWard-Thompson, D
dc.contributor.authorJCMT Gould Belt survey Team
dc.date.accessioned2015-11-27T14:48:52Z
dc.date.issued2015-12-01
dc.description.abstractPerforming ground-based submillimetre observations is a difficult task as the measurements are subject to absorption and emission from water vapour in the Earth's atmosphere and time variation in weather and instrument stability. Removing these features and other artefacts from the data is a vital process which affects the characteristics of the recovered astronomical structure we seek to study. In this paper, we explore two data reduction methods for data taken with the Submillimetre Common-User Bolometer Array-2 (SCUBA-2) at the James Clerk Maxwell Telescope (JCMT). The JCMT Legacy Reduction 1 (JCMT LR1) and The Gould Belt Legacy Survey Legacy Release 1 (GBS LR1) reduction both use the same software (STARLINK) but differ in their choice of data reduction parameters. We find that the JCMT LR1 reduction is suitable for determining whether or not compact emission is present in a given region and the GBS LR1 reduction is tuned in a robust way to uncover more extended emission, which better serves more in-depth physical analyses of star-forming regions. Using the GBS LR1 method, we find that compact sources are recovered well, even at a peak brightness of only three times the noise, whereas the reconstruction of larger objects requires much care when drawing boundaries around the expected astronomical signal in the data reduction process. Incorrect boundaries can lead to false structure identification or it can cause structure to be missed. In the JCMT LR1 reduction, the extent of the true structure of objects larger than a point source is never fully recovered.en_GB
dc.description.sponsorshipNatural Sciences and Engineering Research Council (NSERC) of Canadaen_GB
dc.description.sponsorshipScience and Technology Facilities Council of the United Kingdomen_GB
dc.description.sponsorshipNational Research Council of Canadaen_GB
dc.description.sponsorshipNetherlands Organization for Scientific Researchen_GB
dc.description.sponsorshipCanada Foundation for Innovationen_GB
dc.identifier.citationVol. 454, Iss.3, pp. 2557 - 2579en_GB
dc.identifier.doi10.1093/mnras/stv2192
dc.identifier.urihttp://hdl.handle.net/10871/18811
dc.language.isoenen_GB
dc.publisherOxford University Press for Royal Astronomical Societyen_GB
dc.relation.urlhttp://adsabs.harvard.edu/abs/2015MNRAS.454.2557Men_GB
dc.subjecttechniques: image processingen_GB
dc.subjectstars: formationen_GB
dc.subjectISM: structureen_GB
dc.subjectsubmillimetre: ISMen_GB
dc.titleThe JCMT Gould Belt Survey: a quantitative comparison between SCUBA-2 data reduction methodsen_GB
dc.typeArticleen_GB
dc.date.available2015-11-27T14:48:52Z
dc.identifier.issn0035-8711
dc.descriptionJOURen_GB
dc.descriptionThis article has been accepted for publication in Monthly Notices of the Royal Astronomical Society © 2015 The Authors. Journal compilation © 2015 RAS. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.en_GB
dc.identifier.journalMonthly Notices of the Royal Astronomical Societyen_GB


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